NITRC: scikit-learn: PubMed Mentions: Display Document

PubMed Mentions

The links below are to publications on PubMed referring to scikit-learn. This list is gathered weekly from PubMed automatically.

Publication/References
[Mathematical methods of automatic processing of myocardial electrograms in a heart rate monitoring system]. Description: Mirskii, G V, et al. [Mathematical methods of automatic processing of myocardial electrograms in a heart rate monitoring system]. ''Vestn Akad Med Nauk SSSR''. 1987; 89-93
ADHD diagnosis from multiple data sources with batch effects. Description: Olivetti, Emanuele, et al. ADHD diagnosis from multiple data sources with batch effects. ''Front Syst Neurosci''. 2012; '''6''': 70
Note onset deviations as musical piece signatures. Description: Serra, Joan, et al. Note onset deviations as musical piece signatures. ''PLoS One''. 2013; '''8''' (7):e69268
Replicon-dependent bacterial genome evolution: the case of Sinorhizobium meliloti. Description: Galardini, Marco, et al. Replicon-dependent bacterial genome evolution: the case of Sinorhizobium meliloti. ''Genome Biol Evol''. 2013; '''5''' (3):542-58
Decoding the representation of learned social roles in the human brain. Description: Eger, Evelyn, et al. Decoding the representation of learned social roles in the human brain. ''Cortex''. 2013 Oct; '''49''' (9):2484-93
Reducing multi-sensor data to a single time course that reveals experimental effects. Description: Schurger, Aaron, et al. Reducing multi-sensor data to a single time course that reveals experimental effects. ''BMC Neurosci''. 2013 Oct 14; '''14''': 122
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. Description: Stowell, Dan, et al. Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. ''PeerJ''. 2014; '''2''': e488
Combining physicochemical and evolutionary information for protein contact prediction. Description: Schneider, Michael, et al. Combining physicochemical and evolutionary information for protein contact prediction. ''PLoS One''. 2014; '''9''' (10):e108438
Detecting falls as novelties in acceleration patterns acquired with smartphones. Description: Medrano, Carlos, et al. Detecting falls as novelties in acceleration patterns acquired with smartphones. ''PLoS One''. 2014; '''9''' (4):e94811
DuctApe: a suite for the analysis and correlation of genomic and OmniLog Phenotype Microarray data. Description: Galardini, Marco, et al. DuctApe: a suite for the analysis and correlation of genomic and OmniLog Phenotype Microarray data. ''Genomics''. 2014 Jan; '''103''' (1):1-10
Dynamic stability of sequential stimulus representations in adapting neuronal networks. Description: Duarte, Renato C F, et al. Dynamic stability of sequential stimulus representations in adapting neuronal networks. ''Front Comput Neurosci''. 2014; '''8''': 124
Feature selection and classifier performance on diverse bio- logical datasets. Description: Hemphill, Edward, et al. Feature selection and classifier performance on diverse bio- logical datasets. ''BMC Bioinformatics''. 2014; '''15 Suppl 13''': S4
Large roads reduce bat activity across multiple species. Description: Kitzes, Justin, et al. Large roads reduce bat activity across multiple species. ''PLoS One''. 2014; '''9''' (5):e96341
Machine learning classification of resting state functional connectivity predicts smoking status. Description: Pariyadath, Vani, et al. Machine learning classification of resting state functional connectivity predicts smoking status. ''Front Hum Neurosci''. 2014; '''8''': 425
Patterns and variability of projected bioclimatic habitat for Pinus albicaulis in the Greater Yellowstone Area. Description: Chang, Tony, et al. Patterns and variability of projected bioclimatic habitat for Pinus albicaulis in the Greater Yellowstone Area. ''PLoS One''. 2014; '''9''' (11):e111669
Sequence based prediction of DNA-binding proteins based on hybrid feature selection using random forest and Gaussian naive Bayes. Description: Lou, Wangchao, et al. Sequence based prediction of DNA-binding proteins based on hybrid feature selection using random forest and Gaussian naive Bayes. ''PLoS One''. 2014; '''9''' (1):e86703
Protein (multi-)location prediction: using location inter-dependencies in a probabilistic framework. Description: Simha, Ramanuja, et al. Protein (multi-)location prediction: using location inter-dependencies in a probabilistic framework. ''Algorithms Mol Biol''. 2014 Mar 19; '''9''' (1):8
FineSplice, enhanced splice junction detection and quantification: a novel pipeline based on the assessment of diverse RNA-Seq alignment solutions. Description: Gatto, Alberto, et al. FineSplice, enhanced splice junction detection and quantification: a novel pipeline based on the assessment of diverse RNA-Seq alignment solutions. ''Nucleic Acids Res''. 2014 Apr; '''42''' (8):e71
Analysing Twitter and web queries for flu trend prediction. Description: Santos, Jose Carlos, et al. Analysing Twitter and web queries for flu trend prediction. ''Theor Biol Med Model''. 2014 May 7; '''11 Suppl 1''': S6
Prediction of kinase inhibitor response using activity profiling, in vitro screening, and elastic net regression. Description: Tran, Trish P, et al. Prediction of kinase inhibitor response using activity profiling, in vitro screening, and elastic net regression. ''BMC Syst Biol''. 2014 Jun 25; '''8''': 74
Populus tremula (European aspen) shows no evidence of sexual dimorphism. Description: Robinson, Kathryn M, et al. Populus tremula (European aspen) shows no evidence of sexual dimorphism. ''BMC Plant Biol''. 2014 Oct 16; '''14''': 276
Topologically associating domains are stable units of replication-timing regulation. Description: Pope, Benjamin D, et al. Topologically associating domains are stable units of replication-timing regulation. ''Nature''. 2014 Nov 20; '''515''' (7527):402-5
BOOST: a supervised approach for multiple sclerosis lesion segmentation. Description: Cabezas, Mariano, et al. BOOST: a supervised approach for multiple sclerosis lesion segmentation. ''J Neurosci Methods''. 2014 Nov 30; '''237''': 108-17
A dedicated visual pathway for prey detection in larval zebrafish. Description: Semmelhack, Julia L, et al. A dedicated visual pathway for prey detection in larval zebrafish. ''Elife''. 2014 Dec 9; '''3''':
Automatic Selection of Order Parameters in the Analysis of Large Scale Molecular Dynamics Simulations. Description: Sultan, Mohammad M, et al. Automatic Selection of Order Parameters in the Analysis of Large Scale Molecular Dynamics Simulations. ''J Chem Theory Comput''. 2014 Dec 9; '''10''' (12):5217-5223
A cross-lingual similarity measure for detecting biomedical term translations. Description: Bollegala, Danushka, et al. A cross-lingual similarity measure for detecting biomedical term translations. ''PLoS One''. 2015; '''10''' (6):e0126196
Comparison of sequencing based CNV discovery methods using monozygotic twin quartets. Description: Legault, Marc-Andre, et al. Comparison of sequencing based CNV discovery methods using monozygotic twin quartets. ''PLoS One''. 2015; '''10''' (3):e0122287
Decoding covert shifts of attention induced by ambiguous visuospatial cues. Description: Trachel, Romain E, et al. Decoding covert shifts of attention induced by ambiguous visuospatial cues. ''Front Hum Neurosci''. 2015; '''9''': 358
Emergent Stratification in Solid Tumors Selects for Reduced Cohesion of Tumor Cells: A Multi-Cell, Virtual-Tissue Model of Tumor Evolution Using CompuCell3D. Description: Swat, Maciej H, et al. Emergent Stratification in Solid Tumors Selects for Reduced Cohesion of Tumor Cells: A Multi-Cell, Virtual-Tissue Model of Tumor Evolution Using CompuCell3D. ''PLoS One''. 2015; '''10''' (6):e0127972
Extracting biomedical events from pairs of text entities. Description: Liu, Xiao, et al. Extracting biomedical events from pairs of text entities. ''BMC Bioinformatics''. 2015; '''16 Suppl 10''': S8
Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards. Description: Plitt, Mark, et al. Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards. ''Neuroimage Clin''. 2015; '''7''': 359-66
Genetic programming based ensemble system for microarray data classification. Description: Liu, Kun-Hong, et al. Genetic programming based ensemble system for microarray data classification. ''Comput Math Methods Med''. 2015; '''2015''': 193406
GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge. Description: Wagner, Florian. GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge. ''PLoS One''. 2015; '''10''' (11):e0143196
Machine learning approaches for elastic localization linkages in high-contrast composite materials. Description: Liu, Ruoqian, et al. Machine learning approaches for elastic localization linkages in high-contrast composite materials. ''Integr Mater Manuf Innov''. 2015; '''4''' (1):192-208
miRLocator: Machine Learning-Based Prediction of Mature MicroRNAs within Plant Pre-miRNA Sequences. Description: Cui, Haibo, et al. miRLocator: Machine Learning-Based Prediction of Mature MicroRNAs within Plant Pre-miRNA Sequences. ''PLoS One''. 2015; '''10''' (11):e0142753
Prediction of neddylation sites from protein sequences and sequence-derived properties. Description: Yavuz, Ahmet Sinan, et al. Prediction of neddylation sites from protein sequences and sequence-derived properties. ''BMC Bioinformatics''. 2015; '''16 Suppl 18''': S9
QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting. Description: Waithe, Dominic, et al. QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting. ''PLoS One''. 2015; '''10''' (5):e0127659
Risk Factors for Emergency Department Short Time Readmission in Stratified Population. Description: Besga, Ariadna, et al. Risk Factors for Emergency Department Short Time Readmission in Stratified Population. ''Biomed Res Int''. 2015; '''2015''': 685067
Semi-supervised Learning for the BioNLP Gene Regulation Network. Description: Provoost, Thomas, et al. Semi-supervised Learning for the BioNLP Gene Regulation Network. ''BMC Bioinformatics''. 2015; '''16 Suppl 10''': S4
Spatial Patterns of the Indications of Acupoints Using Data Mining in Classic Medical Text: A Possible Visualization of the Meridian System. Description: Jung, Won-Mo, et al. Spatial Patterns of the Indications of Acupoints Using Data Mining in Classic Medical Text: A Possible Visualization of the Meridian System. ''Evid Based Complement Alternat Med''. 2015; '''2015''': 457071
TEES 2.2: Biomedical Event Extraction for Diverse Corpora. Description: Bjorne, Jari, et al. TEES 2.2: Biomedical Event Extraction for Diverse Corpora. ''BMC Bioinformatics''. 2015; '''16 Suppl 16''': S4
Transcriptomic landscape of lncRNAs in inflammatory bowel disease. Description: Mirza, Aashiq H, et al. Transcriptomic landscape of lncRNAs in inflammatory bowel disease. ''Genome Med''. 2015; '''7''' (1):39
TRPM8-Dependent Dynamic Response in a Mathematical Model of Cold Thermoreceptor. Description: Olivares, Erick, et al. TRPM8-Dependent Dynamic Response in a Mathematical Model of Cold Thermoreceptor. ''PLoS One''. 2015; '''10''' (10):e0139314
Validation of natural language processing to extract breast cancer pathology procedures and results. Description: Wieneke, Arika E, et al. Validation of natural language processing to extract breast cancer pathology procedures and results. ''J Pathol Inform''. 2015; '''6''': 38
Variations in the Intragene Methylation Profiles Hallmark Induced Pluripotency. Description: Druzhkov, Pavel, et al. Variations in the Intragene Methylation Profiles Hallmark Induced Pluripotency. ''Biomed Res Int''. 2015; '''2015''': 976362
Predicting protein backbone chemical shifts from Calpha coordinates: extracting high resolution experimental observables from low resolution models. Description: Frank, Aaron T, et al. Predicting protein backbone chemical shifts from Calpha coordinates: extracting high resolution experimental observables from low resolution models. ''J Chem Theory Comput''. 2015 Jan 13; '''11''' (1):325-31
Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates. Description: Frandsen, Paul B, et al. Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates. ''BMC Evol Biol''. 2015 Feb 10; '''15''': 13
Extrapolating histone marks across developmental stages, tissues, and species: an enhancer prediction case study. Description: Capra, John A. Extrapolating histone marks across developmental stages, tissues, and species: an enhancer prediction case study. ''BMC Genomics''. 2015 Feb 21; '''16''': 104
A Multipurpose, High-Throughput Single-Nucleotide Polymorphism Chip for the Dengue and Yellow Fever Mosquito, Aedes aegypti. Description: Evans, Benjamin R, et al. A Multipurpose, High-Throughput Single-Nucleotide Polymorphism Chip for the Dengue and Yellow Fever Mosquito, Aedes aegypti. ''G3 (Bethesda)''. 2015 Feb 26; '''5''' (5):711-8
Explaining diversity in metagenomic datasets by phylogenetic-based feature weighting. Description: Albanese, Davide, et al. Explaining diversity in metagenomic datasets by phylogenetic-based feature weighting. ''PLoS Comput Biol''. 2015 Mar; '''11''' (3):e1004186
Xlink Analyzer: software for analysis and visualization of cross-linking data in the context of three-dimensional structures. Description: Kosinski, Jan, et al. Xlink Analyzer: software for analysis and visualization of cross-linking data in the context of three-dimensional structures. ''J Struct Biol''. 2015 Mar; '''189''' (3):177-83
A property-based analysis of human transcription factors. Description: Bahrami, Shahram, et al. A property-based analysis of human transcription factors. ''BMC Res Notes''. 2015 Mar 14; '''8''': 82
Identification of binding sites and favorable ligand binding moieties by virtual screening and self-organizing map analysis. Description: Harigua-Souiai, Emna, et al. Identification of binding sites and favorable ligand binding moieties by virtual screening and self-organizing map analysis. ''BMC Bioinformatics''. 2015 Mar 21; '''16''': 93
Leaps and lulls in the developmental transcriptome of Dictyostelium discoideum. Description: Rosengarten, Rafael David, et al. Leaps and lulls in the developmental transcriptome of Dictyostelium discoideum. ''BMC Genomics''. 2015 Apr 13; '''16''': 294
Genetic similarity between cancers and comorbid Mendelian diseases identifies candidate driver genes. Description: Melamed, Rachel D, et al. Genetic similarity between cancers and comorbid Mendelian diseases identifies candidate driver genes. ''Nat Commun''. 2015 Apr 30; '''6''': 7033
Genome diversity of Epstein-Barr virus from multiple tumor types and normal infection. Description: Palser, Anne L, et al. Genome diversity of Epstein-Barr virus from multiple tumor types and normal infection. ''J Virol''. 2015 May; '''89''' (10):5222-37
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge. Description: Bron, Esther E, et al. Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge. ''Neuroimage''. 2015 May 1; '''111''': 562-79
Assessing visual attention using eye tracking sensors in intelligent cognitive therapies based on serious games. Description: Frutos-Pascual, Maite, et al. Assessing visual attention using eye tracking sensors in intelligent cognitive therapies based on serious games. ''Sensors (Basel)''. 2015 May 12; '''15''' (5):11092-117
Excess of rare, inherited truncating mutations in autism. Description: Krumm, Niklas, et al. Excess of rare, inherited truncating mutations in autism. ''Nat Genet''. 2015 Jun; '''47''' (6):582-8
In silico phenotyping via co-training for improved phenotype prediction from genotype. Description: Roqueiro, Damian, et al. In silico phenotyping via co-training for improved phenotype prediction from genotype. ''Bioinformatics''. 2015 Jun 15; '''31''' (12):i303-10
Temperature affects the silicate morphology in a diatom. Description: Javaheri, N, et al. Temperature affects the silicate morphology in a diatom. ''Sci Rep''. 2015 Jun 26; '''5''': 11652
LYRA, a webserver for lymphocyte receptor structural modeling. Description: Klausen, Michael Schantz, et al. LYRA, a webserver for lymphocyte receptor structural modeling. ''Nucleic Acids Res''. 2015 Jul 1; '''43''' (W1):W349-55
Network-constrained forest for regularized classification of omics data. Description: Andel, Michael, et al. Network-constrained forest for regularized classification of omics data. ''Methods''. 2015 Jul 15; '''83''': 88-97
Discovering networks altered by potential threat ("anxiety") using quadratic discriminant analysis. Description: McMenamin, Brenton W, et al. Discovering networks altered by potential threat ("anxiety") using quadratic discriminant analysis. ''Neuroimage''. 2015 Aug 1; '''116''': 1-9
Smoking Gun or Circumstantial Evidence? Comparison of Statistical Learning Methods using Functional Annotations for Prioritizing Risk Variants. Description: Gagliano, Sarah A, et al. Smoking Gun or Circumstantial Evidence? Comparison of Statistical Learning Methods using Functional Annotations for Prioritizing Risk Variants. ''Sci Rep''. 2015 Aug 24; '''5''': 13373
Explaining the Timing of Natural Scene Understanding with a Computational Model of Perceptual Categorization. Description: Sofer, Imri, et al. Explaining the Timing of Natural Scene Understanding with a Computational Model of Perceptual Categorization. ''PLoS Comput Biol''. 2015 Sep; '''11''' (9):e1004456
Molecular architecture of the yeast Mediator complex. Description: Robinson, Philip J, et al. Molecular architecture of the yeast Mediator complex. ''Elife''. 2015 Sep 24; '''4''':
CRISPRscan: designing highly efficient sgRNAs for CRISPR-Cas9 targeting in vivo. Description: Moreno-Mateos, Miguel A, et al. CRISPRscan: designing highly efficient sgRNAs for CRISPR-Cas9 targeting in vivo. ''Nat Methods''. 2015 Oct; '''12''' (10):982-8
Phylogenetic approaches to microbial community classification. Description: Ning, Jie, et al. Phylogenetic approaches to microbial community classification. ''Microbiome''. 2015 Oct 5; '''3''': 47
Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods. Description: Decruyenaere, Alexander, et al. Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods. ''BMC Med Inform Decis Mak''. 2015 Oct 14; '''15''': 83
Human blindsight is mediated by an intact geniculo-extrastriate pathway. Description: Ajina, Sara, et al. Human blindsight is mediated by an intact geniculo-extrastriate pathway. ''Elife''. 2015 Oct 20; '''4''':
Developing and validating a risk prediction model for acute care based on frailty syndromes. Description: Soong, J, et al. Developing and validating a risk prediction model for acute care based on frailty syndromes. ''BMJ Open''. 2015 Oct 21; '''5''' (10):e008457
Identification of High-Impact cis-Regulatory Mutations Using Transcription Factor Specific Random Forest Models. Description: Svetlichnyy, Dmitry, et al. Identification of High-Impact cis-Regulatory Mutations Using Transcription Factor Specific Random Forest Models. ''PLoS Comput Biol''. 2015 Nov; '''11''' (11):e1004590
Negligible fronto-parietal BOLD activity accompanying unreportable switches in bistable perception. Description: Brascamp, Jan, et al. Negligible fronto-parietal BOLD activity accompanying unreportable switches in bistable perception. ''Nat Neurosci''. 2015 Nov; '''18''' (11):1672-8
Quantifying Stochastic Noise in Cultured Circadian Reporter Cells. Description: St John, Peter C, et al. Quantifying Stochastic Noise in Cultured Circadian Reporter Cells. ''PLoS Comput Biol''. 2015 Nov; '''11''' (11):e1004451
Variation in Rural African Gut Microbiota Is Strongly Correlated with Colonization by Entamoeba and Subsistence. Description: Morton, Elise R, et al. Variation in Rural African Gut Microbiota Is Strongly Correlated with Colonization by Entamoeba and Subsistence. ''PLoS Genet''. 2015 Nov; '''11''' (11):e1005658
Fizzy: feature subset selection for metagenomics. Description: Ditzler, Gregory, et al. Fizzy: feature subset selection for metagenomics. ''BMC Bioinformatics''. 2015 Nov 4; '''16''': 358
Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study. Description: Kim, Annice E, et al. Using Twitter Data to Gain Insights into E-cigarette Marketing and Locations of Use: An Infoveillance Study. ''J Med Internet Res''. 2015 Nov 6; '''17''' (11):e251
Layers: A molecular surface peeling algorithm and its applications to analyze protein structures. Description: Karampudi, Naga Bhushana Rao, et al. Layers: A molecular surface peeling algorithm and its applications to analyze protein structures. ''Sci Rep''. 2015 Nov 10; '''5''': 16141
Analysis of nucleosome positioning landscapes enables gene discovery in the human malaria parasite Plasmodium falciparum. Description: Lu, Xueqing Maggie, et al. Analysis of nucleosome positioning landscapes enables gene discovery in the human malaria parasite Plasmodium falciparum. ''BMC Genomics''. 2015 Nov 25; '''16''': 1005
A Probabilistic Model for Estimating the Depth and Threshold Temperature of C-fiber Nociceptors. Description: Dezhdar, Tara, et al. A Probabilistic Model for Estimating the Depth and Threshold Temperature of C-fiber Nociceptors. ''Sci Rep''. 2015 Dec 7; '''5''': 17670
A random interacting network model for complex networks. Description: Goswami, Bedartha, et al. A random interacting network model for complex networks. ''Sci Rep''. 2015 Dec 11; '''5''': 18183
Comprehensive evaluation of AmpliSeq transcriptome, a novel targeted whole transcriptome RNA sequencing methodology for global gene expression analysis. Description: Li, Wenli, et al. Comprehensive evaluation of AmpliSeq transcriptome, a novel targeted whole transcriptome RNA sequencing methodology for global gene expression analysis. ''BMC Genomics''. 2015 Dec 16; '''16''': 1069
Genome-Wide Analysis of the TORC1 and Osmotic Stress Signaling Network in Saccharomyces cerevisiae. Description: Worley, Jeremy, et al. Genome-Wide Analysis of the TORC1 and Osmotic Stress Signaling Network in Saccharomyces cerevisiae. ''G3 (Bethesda)''. 2015 Dec 17; '''6''' (2):463-74
A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in Arabidopsis. Description: Ni, Ying, et al. A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in Arabidopsis. ''Front Plant Sci''. 2016; '''7''': 1936
A Multi-Atlas Labeling Approach for Identifying Subject-Specific Functional Regions of Interest. Description: Huang, Lijie, et al. A Multi-Atlas Labeling Approach for Identifying Subject-Specific Functional Regions of Interest. ''PLoS One''. 2016; '''11''' (1):e0146868
ASAP: a machine learning framework for local protein properties. Description: Brandes, Nadav, et al. ASAP: a machine learning framework for local protein properties. ''Database (Oxford)''. 2016; '''2016''':
Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks. Description: Hames, Samuel C, et al. Automated Segmentation of Skin Strata in Reflectance Confocal Microscopy Depth Stacks. ''PLoS One''. 2016; '''11''' (4):e0153208
Brain Network Activation Analysis Utilizing Spatiotemporal Features for Event Related Potentials Classification. Description: Stern, Yaki, et al. Brain Network Activation Analysis Utilizing Spatiotemporal Features for Event Related Potentials Classification. ''Front Comput Neurosci''. 2016; '''10''': 137
Chromas from chromatin: sonification of the epigenome. Description: Cittaro, Davide, et al. Chromas from chromatin: sonification of the epigenome. ''F1000Res''. 2016; '''5''': 274
Classification of amyloid status using machine learning with histograms of oriented 3D gradients. Description: Cattell, Liam, et al. Classification of amyloid status using machine learning with histograms of oriented 3D gradients. ''Neuroimage Clin''. 2016; '''12''': 990-1003
Clinically-inspired automatic classification of ovarian carcinoma subtypes. Description: BenTaieb, Aicha, et al. Clinically-inspired automatic classification of ovarian carcinoma subtypes. ''J Pathol Inform''. 2016; '''7''': 28
Comparing Features for Classification of MEG Responses to Motor Imagery. Description: Halme, Hanna-Leena, et al. Comparing Features for Classification of MEG Responses to Motor Imagery. ''PLoS One''. 2016; '''11''' (12):e0168766
Computational inference of H3K4me3 and H3K27ac domain length. Description: Zubek, Julian, et al. Computational inference of H3K4me3 and H3K27ac domain length. ''PeerJ''. 2016; '''4''': e1750
Conformational Sampling and Binding Site Assessment of Suppression of Tumorigenicity 2 Ectodomain. Description: Yang, Chao-Yie, et al. Conformational Sampling and Binding Site Assessment of Suppression of Tumorigenicity 2 Ectodomain. ''PLoS One''. 2016; '''11''' (1):e0146522
Decoding the Semantic Content of Natural Movies from Human Brain Activity. Description: Huth, Alexander G, et al. Decoding the Semantic Content of Natural Movies from Human Brain Activity. ''Front Syst Neurosci''. 2016; '''10''': 81
Development and Clinical Evaluation of an mHealth Application for Stress Management. Description: Winslow, Brent D, et al. Development and Clinical Evaluation of an mHealth Application for Stress Management. ''Front Psychiatry''. 2016; '''7''': 130
Earth Mover's Distance (EMD): A True Metric for Comparing Biomarker Expression Levels in Cell Populations. Description: Orlova, Darya Y, et al. Earth Mover's Distance (EMD): A True Metric for Comparing Biomarker Expression Levels in Cell Populations. ''PLoS One''. 2016; '''11''' (3):e0151859
Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources. Description: Huff, Andrew G, et al. Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources. ''Interdiscip Perspect Infect Dis''. 2016; '''2016''': 5080746
Incorporation of protein binding effects into likelihood ratio test for exome sequencing data. Description: Zhang, Dongni, et al. Incorporation of protein binding effects into likelihood ratio test for exome sequencing data. ''BMC Proc''. 2016; '''10''' (Suppl 7):275-281
Is Neural Activity Detected by ERP-Based Brain-Computer Interfaces Task Specific? Description: Wenzel, Markus A, et al. Is Neural Activity Detected by ERP-Based Brain-Computer Interfaces Task Specific? ''PLoS One''. 2016; '''11''' (10):e0165556
Ligand cluster-based protein network and ePlatton, a multi-target ligand finder. Description: Du, Yu, et al. Ligand cluster-based protein network and ePlatton, a multi-target ligand finder. ''J Cheminform''. 2016; '''8''': 23
Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations. Description: Turesson, Hjalmar K, et al. Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations. ''PLoS One''. 2016; '''11''' (9):e0163041
Machine-learning to characterise neonatal functional connectivity in the preterm brain. Description: Ball, G, et al. Machine-learning to characterise neonatal functional connectivity in the preterm brain. ''Neuroimage''. 2016 Jan 1; '''124''' (Pt A):267-275
Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates Through Natural Language Processing and Machine Learning. Description: Cohen, Kevin Bretonnel, et al. Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates Through Natural Language Processing and Machine Learning. ''Biomed Inform Insights''. 2016; '''8''': 11-8
Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion. Description: Chandler, Benjamin, et al. Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion. ''Comput Intell Neurosci''. 2016; '''2016''': 6425257
Morphological Neuron Classification Using Machine Learning. Description: Vasques, Xavier, et al. Morphological Neuron Classification Using Machine Learning. ''Front Neuroanat''. 2016; '''10''': 102
Multitarget Multiscale Simulation for Pharmacological Treatment of Dystonia in Motor Cortex. Description: Neymotin, Samuel A, et al. Multitarget Multiscale Simulation for Pharmacological Treatment of Dystonia in Motor Cortex. ''Front Pharmacol''. 2016; '''7''': 157
On the Reconstruction of Text Phylogeny Trees: Evaluation and Analysis of Textual Relationships. Description: Marmerola, Guilherme D, et al. On the Reconstruction of Text Phylogeny Trees: Evaluation and Analysis of Textual Relationships. ''PLoS One''. 2016; '''11''' (12):e0167822
Predicting structured metadata from unstructured metadata. Description: Posch, Lisa, et al. Predicting structured metadata from unstructured metadata. ''Database (Oxford)''. 2016 Jan 1; '''2016''':
Scholarly Context Adrift: Three out of Four URI References Lead to Changed Content. Description: Jones, Shawn M, et al. Scholarly Context Adrift: Three out of Four URI References Lead to Changed Content. ''PLoS One''. 2016; '''11''' (12):e0167475
Selectivity profiling of BCRP versus P-gp inhibition: from automated collection of polypharmacology data to multi-label learning. Description: Montanari, Floriane, et al. Selectivity profiling of BCRP versus P-gp inhibition: from automated collection of polypharmacology data to multi-label learning. ''J Cheminform''. 2016; '''8''': 7
Studying depression using imaging and machine learning methods. Description: Patel, Meenal J, et al. Studying depression using imaging and machine learning methods. ''Neuroimage Clin''. 2016; '''10''': 115-23
The Development of an Angiogenic Protein "Signature" in Ovarian Cancer Ascites as a Tool for Biologic and Prognostic Profiling. Description: Trachana, Sofia-Paraskevi, et al. The Development of an Angiogenic Protein "Signature" in Ovarian Cancer Ascites as a Tool for Biologic and Prognostic Profiling. ''PLoS One''. 2016; '''11''' (6):e0156403
The Voxel-Wise Functional Connectome Can Be Efficiently Derived from Co-activations in a Sparse Spatio-Temporal Point-Process. Description: Tagliazucchi, Enzo, et al. The Voxel-Wise Functional Connectome Can Be Efficiently Derived from Co-activations in a Sparse Spatio-Temporal Point-Process. ''Front Neurosci''. 2016; '''10''': 381
Trisubstituted-Imidazoles Induce Apoptosis in Human Breast Cancer Cells by Targeting the Oncogenic PI3K/Akt/mTOR Signaling Pathway. Description: Mohan, Chakrabhavi Dhananjaya, et al. Trisubstituted-Imidazoles Induce Apoptosis in Human Breast Cancer Cells by Targeting the Oncogenic PI3K/Akt/mTOR Signaling Pathway. ''PLoS One''. 2016; '''11''' (4):e0153155
Understanding Editing Behaviors in Multilingual Wikipedia. Description: Kim, Suin, et al. Understanding Editing Behaviors in Multilingual Wikipedia. ''PLoS One''. 2016; '''11''' (5):e0155305
Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems. Description: Szlosek, Donald A, et al. Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems. ''EGEMS (Wash DC)''. 2016; '''4''' (3):1222
DynaMIT: the dynamic motif integration toolkit. Description: Dassi, Erik, et al. DynaMIT: the dynamic motif integration toolkit. ''Nucleic Acids Res''. 2016 Jan 8; '''44''' (1):e2
The Effect of Personalization on Smartphone-Based Fall Detectors. Description: Medrano, Carlos, et al. The Effect of Personalization on Smartphone-Based Fall Detectors. ''Sensors (Basel)''. 2016 Jan 18; '''16''' (1):
Probing binding hot spots at protein-RNA recognition sites. Description: Barik, Amita, et al. Probing binding hot spots at protein-RNA recognition sites. ''Nucleic Acids Res''. 2016 Jan 29; '''44''' (2):e9
Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9. Description: Doench, John G, et al. Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9. ''Nat Biotechnol''. 2016 Feb; '''34''' (2):184-191
Single-Cell RNA-Sequencing Reveals a Continuous Spectrum of Differentiation in Hematopoietic Cells. Description: Macaulay, Iain C, et al. Single-Cell RNA-Sequencing Reveals a Continuous Spectrum of Differentiation in Hematopoietic Cells. ''Cell Rep''. 2016 Feb 2; '''14''' (4):966-977
Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations. Description: Oermann, Eric Karl, et al. Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations. ''Sci Rep''. 2016 Feb 9; '''6''': 21161
The role of kinetic context in apparent biased agonism at GPCRs. Description: Klein Herenbrink, Carmen, et al. The role of kinetic context in apparent biased agonism at GPCRs. ''Nat Commun''. 2016 Feb 24; '''7''': 10842
Translation of Genotype to Phenotype by a Hierarchy of Cell Subsystems. Description: Yu, Michael Ku, et al. Translation of Genotype to Phenotype by a Hierarchy of Cell Subsystems. ''Cell Syst''. 2016 Feb 24; '''2''' (2):77-88
Geography and Location Are the Primary Drivers of Office Microbiome Composition. Description: Chase, John, et al. Geography and Location Are the Primary Drivers of Office Microbiome Composition. ''mSystems''. 2016 Mar-Apr; '''1''' (2):
S/HIC: Robust Identification of Soft and Hard Sweeps Using Machine Learning. Description: Schrider, Daniel R, et al. S/HIC: Robust Identification of Soft and Hard Sweeps Using Machine Learning. ''PLoS Genet''. 2016 Mar; '''12''' (3):e1005928
Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients. Description: Colubri, Andres, et al. Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients. ''PLoS Negl Trop Dis''. 2016 Mar; '''10''' (3):e0004549
Automatic generation of bioinformatics tools for predicting protein-ligand binding sites. Description: Komiyama, Yusuke, et al. Automatic generation of bioinformatics tools for predicting protein-ligand binding sites. ''Bioinformatics''. 2016 Mar 15; '''32''' (6):901-7
Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors. Description: Shoaib, Muhammad, et al. Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors. ''Sensors (Basel)''. 2016 Mar 24; '''16''' (4):426
Sequence features accurately predict genome-wide MeCP2 binding in vivo. Description: Rube, H Tomas, et al. Sequence features accurately predict genome-wide MeCP2 binding in vivo. ''Nat Commun''. 2016 Mar 24; '''7''': 11025
Utilizing yeast chemogenomic profiles for the prediction of pharmacogenomic associations in humans. Description: Silberberg, Yael, et al. Utilizing yeast chemogenomic profiles for the prediction of pharmacogenomic associations in humans. ''Sci Rep''. 2016 Mar 30; '''6''': 23703
Granuphilin exclusively mediates functional granule docking to the plasma membrane. Description: Mizuno, Kouichi, et al. Granuphilin exclusively mediates functional granule docking to the plasma membrane. ''Sci Rep''. 2016 Apr 1; '''6''': 23909
MRI visual rating scales in the diagnosis of dementia: evaluation in 184 post-mortem confirmed cases. Description: Harper, Lorna, et al. MRI visual rating scales in the diagnosis of dementia: evaluation in 184 post-mortem confirmed cases. ''Brain''. 2016 Apr; '''139''' (Pt 4):1211-25
Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks. Description: Mitra, Jhimli, et al. Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks. ''Neuroimage''. 2016 Apr 1; '''129''': 247-259
Hot super-Earths stripped by their host stars. Description: Lundkvist, M S, et al. Hot super-Earths stripped by their host stars. ''Nat Commun''. 2016 Apr 11; '''7''': 11201
Learning the 3-D structure of objects from 2-D views depends on shape, not format. Description: Tian, Moqian, et al. Learning the 3-D structure of objects from 2-D views depends on shape, not format. ''J Vis''. 2016 May 1; '''16''' (7):7
Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation. Description: Proserpio, Valentina, et al. Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation. ''Genome Biol''. 2016 May 12; '''17''': 103
Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality. Description: Braithwaite, Scott R, et al. Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality. ''JMIR Ment Health''. 2016 May 16; '''3''' (2):e21
Conservation of uORF repressiveness and sequence features in mouse, human and zebrafish. Description: Chew, Guo-Liang, et al. Conservation of uORF repressiveness and sequence features in mouse, human and zebrafish. ''Nat Commun''. 2016 May 24; '''7''': 11663
Network Signatures of IgG Immune Repertoires in Hepatitis B Associated Chronic Infection and Vaccination Responses. Description: Chang, Ya-Hui, et al. Network Signatures of IgG Immune Repertoires in Hepatitis B Associated Chronic Infection and Vaccination Responses. ''Sci Rep''. 2016 May 25; '''6''': 26556
Poly(A) code analyses reveal key determinants for tissue-specific mRNA alternative polyadenylation. Description: Weng, Lingjie, et al. Poly(A) code analyses reveal key determinants for tissue-specific mRNA alternative polyadenylation. ''RNA''. 2016 Jun; '''22''' (6):813-21
Crowdsourcing reproducible seizure forecasting in human and canine epilepsy. Description: Brinkmann, Benjamin H, et al. Crowdsourcing reproducible seizure forecasting in human and canine epilepsy. ''Brain''. 2016 Jun; '''139''' (Pt 6):1713-22
Formal Models of the Network Co-occurrence Underlying Mental Operations. Description: Bzdok, Danilo, et al. Formal Models of the Network Co-occurrence Underlying Mental Operations. ''PLoS Comput Biol''. 2016 Jun; '''12''' (6):e1004994
Multi-objective active machine learning rapidly improves structure-activity models and reveals new protein-protein interaction inhibitors. Description: Reker, D, et al. Multi-objective active machine learning rapidly improves structure-activity models and reveals new protein-protein interaction inhibitors. ''Chem Sci''. 2016 Jun 1; '''7''' (6):3919-3927
Temporal bone radiology report classification using open source machine learning and natural langue processing libraries. Description: Masino, Aaron J, et al. Temporal bone radiology report classification using open source machine learning and natural langue processing libraries. ''BMC Med Inform Decis Mak''. 2016 Jun 6; '''16''': 65
Chromatin accessibility maps of chronic lymphocytic leukaemia identify subtype-specific epigenome signatures and transcription regulatory networks. Description: Rendeiro, Andre F, et al. Chromatin accessibility maps of chronic lymphocytic leukaemia identify subtype-specific epigenome signatures and transcription regulatory networks. ''Nat Commun''. 2016 Jun 27; '''7''': 11938
A Multiplexed Cytokeratin Analysis Using Targeted Mass Spectrometry Reveals Specific Profiles in Cancer-Related Pleural Effusions. Description: Domanski, Dominik, et al. A Multiplexed Cytokeratin Analysis Using Targeted Mass Spectrometry Reveals Specific Profiles in Cancer-Related Pleural Effusions. ''Neoplasia''. 2016 Jul; '''18''' (7):399-412
Electronic medical record phenotyping using the anchor and learn framework. Description: Halpern, Yoni, et al. Electronic medical record phenotyping using the anchor and learn framework. ''J Am Med Inform Assoc''. 2016 Jul; '''23''' (4):731-40
Global Membrane Protein Interactome Analysis using In vivo Crosslinking and Mass Spectrometry-based Protein Correlation Profiling. Description: Larance, Mark, et al. Global Membrane Protein Interactome Analysis using In vivo Crosslinking and Mass Spectrometry-based Protein Correlation Profiling. ''Mol Cell Proteomics''. 2016 Jul; '''15''' (7):2476-90
Affinity and dose of TCR engagement yield proportional enhancer and gene activity in CD4+ T cells. Description: Allison, Karmel A, et al. Affinity and dose of TCR engagement yield proportional enhancer and gene activity in CD4+ T cells. ''Elife''. 2016 Jul 4; '''5''':
Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR. Description: Haeussler, Maximilian, et al. Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR. ''Genome Biol''. 2016 Jul 5; '''17''' (1):148
InPhaDel: integrative shotgun and proximity-ligation sequencing to phase deletions with single nucleotide polymorphisms. Description: Patel, Anand, et al. InPhaDel: integrative shotgun and proximity-ligation sequencing to phase deletions with single nucleotide polymorphisms. ''Nucleic Acids Res''. 2016 Jul 8; '''44''' (12):e111
iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC. Description: Qiu, Wang-Ren, et al. iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC. ''Oncotarget''. 2016 Jul 12; '''7''' (28):44310-44321
Mitochondrial Biogenesis and Proteome Remodeling Promote One-Carbon Metabolism for T Cell Activation. Description: Ron-Harel, Noga, et al. Mitochondrial Biogenesis and Proteome Remodeling Promote One-Carbon Metabolism for T Cell Activation. ''Cell Metab''. 2016 Jul 12; '''24''' (1):104-17
Interpretable per case weighted ensemble method for cancer associations. Description: Jalali, Adrin, et al. Interpretable per case weighted ensemble method for cancer associations. ''BMC Genomics''. 2016 Jul 19; '''17''': 501
Voice analysis as an objective state marker in bipolar disorder. Description: Faurholt-Jepsen, M, et al. Voice analysis as an objective state marker in bipolar disorder. ''Transl Psychiatry''. 2016 Jul 19; '''6''': e856
Cell Type-Specific Differences in Spike Timing and Spike Shape in the Rat Parasubiculum and Superficial Medial Entorhinal Cortex. Description: Ebbesen, Christian Laut, et al. Cell Type-Specific Differences in Spike Timing and Spike Shape in the Rat Parasubiculum and Superficial Medial Entorhinal Cortex. ''Cell Rep''. 2016 Jul 26; '''16''' (4):1005-1015
Tissue homogeneity requires inhibition of unequal gene silencing during development. Description: Le, Hai H, et al. Tissue homogeneity requires inhibition of unequal gene silencing during development. ''J Cell Biol''. 2016 Aug 1; '''214''' (3):319-31
IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction. Description: Pan, Xiaoyong, et al. IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction. ''BMC Genomics''. 2016 Aug 9; '''17''': 582
Multidrug Intrinsic Resistance Factors in Staphylococcus aureus Identified by Profiling Fitness within High-Diversity Transposon Libraries. Description: Rajagopal, Mithila, et al. Multidrug Intrinsic Resistance Factors in Staphylococcus aureus Identified by Profiling Fitness within High-Diversity Transposon Libraries. ''MBio''. 2016 Aug 16; '''7''' (4):
Fusing literature and full network data improves disease similarity computation. Description: Li, Ping, et al. Fusing literature and full network data improves disease similarity computation. ''BMC Bioinformatics''. 2016 Aug 30; '''17''' (1):326
Automated prediction of HIV drug resistance from genotype data. Description: Shen, ChenHsiang, et al. Automated prediction of HIV drug resistance from genotype data. ''BMC Bioinformatics''. 2016 Aug 31; '''17 Suppl 8''': 278
Brain response pattern identification of fMRI data using a particle swarm optimization-based approach. Description: Ma, Xinpei, et al. Brain response pattern identification of fMRI data using a particle swarm optimization-based approach. ''Brain Inform''. 2016 Sep; '''3''' (3):181-192
McGurk illusion recalibrates subsequent auditory perception. Description: Luttke, Claudia S, et al. McGurk illusion recalibrates subsequent auditory perception. ''Sci Rep''. 2016 Sep 9; '''6''': 32891
Quantitative high-throughput population dynamics in continuous-culture by automated microscopy. Description: Merritt, Jason, et al. Quantitative high-throughput population dynamics in continuous-culture by automated microscopy. ''Sci Rep''. 2016 Sep 12; '''6''': 33173
TarPmiR: a new approach for microRNA target site prediction. Description: Ding, Jun, et al. TarPmiR: a new approach for microRNA target site prediction. ''Bioinformatics''. 2016 Sep 15; '''32''' (18):2768-75
Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation. Description: Horlbeck, Max A, et al. Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation. ''Elife''. 2016 Sep 23; '''5''':
Building Graphs To Describe Dynamics, Kinetics, and Energetics in the d-ALa:d-Lac Ligase VanA. Description: Duclert-Savatier, Nathalie, et al. Building Graphs To Describe Dynamics, Kinetics, and Energetics in the d-ALa:d-Lac Ligase VanA. ''J Chem Inf Model''. 2016 Sep 26; '''56''' (9):1762-75
Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd. Description: Wang, Zichen, et al. Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd. ''Nat Commun''. 2016 Sep 26; '''7''': 12846
An Automated Microwell Platform for Large-Scale Single Cell RNA-Seq. Description: Yuan, Jinzhou, et al. An Automated Microwell Platform for Large-Scale Single Cell RNA-Seq. ''Sci Rep''. 2016 Sep 27; '''6''': 33883
DNA Shape Features Improve Transcription Factor Binding Site Predictions In Vivo. Description: Mathelier, Anthony, et al. DNA Shape Features Improve Transcription Factor Binding Site Predictions In Vivo. ''Cell Syst''. 2016 Sep 28; '''3''' (3):278-286.e4
Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity. Description: Joost, Simon, et al. Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity. ''Cell Syst''. 2016 Sep 28; '''3''' (3):221-237.e9
Dichotomy of cellular inhibition by small-molecule inhibitors revealed by single-cell analysis. Description: Vogel, Robert M, et al. Dichotomy of cellular inhibition by small-molecule inhibitors revealed by single-cell analysis. ''Nat Commun''. 2016 Sep 30; '''7''': 12428
Molecular Diversity of Midbrain Development in Mouse, Human, and Stem Cells. Description: La Manno, Gioele, et al. Molecular Diversity of Midbrain Development in Mouse, Human, and Stem Cells. ''Cell''. 2016 Oct 6; '''167''' (2):566-580.e19
CoSpliceNet: a framework for co-splicing network inference from transcriptomics data. Description: Aghamirzaie, Delasa, et al. CoSpliceNet: a framework for co-splicing network inference from transcriptomics data. ''BMC Genomics''. 2016 Oct 28; '''17''' (1):845
Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction. Description: Coelho, Edgar D, et al. Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction. ''PLoS Comput Biol''. 2016 Nov; '''12''' (11):e1005219
From Genomes to Phenotypes: Traitar, the Microbial Trait Analyzer. Description: Weimann, Aaron, et al. From Genomes to Phenotypes: Traitar, the Microbial Trait Analyzer. ''mSystems''. 2016 Nov-Dec; '''1''' (6):
Prediction of residue-residue contact matrix for protein-protein interaction with Fisher score features and deep learning. Description: Du, Tianchuan, et al. Prediction of residue-residue contact matrix for protein-protein interaction with Fisher score features and deep learning. ''Methods''. 2016 Nov 1; '''110''': 97-105
pySAPC, a python package for sparse affinity propagation clustering: Application to odontogenesis whole genome time series gene-expression data. Description: Cao, Huojun, et al. pySAPC, a python package for sparse affinity propagation clustering: Application to odontogenesis whole genome time series gene-expression data. ''Biochim Biophys Acta''. 2016 Nov; '''1860''' (11 Pt B):2613-8
DPDR-CPI, a server that predicts Drug Positioning and Drug Repositioning via Chemical-Protein Interactome. Description: Luo, Heng, et al. DPDR-CPI, a server that predicts Drug Positioning and Drug Repositioning via Chemical-Protein Interactome. ''Sci Rep''. 2016 Nov 2; '''6''': 35996
Big genomics and clinical data analytics strategies for precision cancer prognosis. Description: Ow, Ghim Siong, et al. Big genomics and clinical data analytics strategies for precision cancer prognosis. ''Sci Rep''. 2016 Nov 7; '''6''': 36493
Gastric bypass surgery reveals independency of obesity and diabetes melitus type 2. Description: Fenger, Mogens, et al. Gastric bypass surgery reveals independency of obesity and diabetes melitus type 2. ''BMC Endocr Disord''. 2016 Nov 9; '''16''' (1):59
Unraveling the Roots of Selectivity of Peptide Affinity Reagents for Structurally Similar Ribosomal Inactivating Protein Derivatives. Description: Sarkes, Deborah A, et al. Unraveling the Roots of Selectivity of Peptide Affinity Reagents for Structurally Similar Ribosomal Inactivating Protein Derivatives. ''Molecules''. 2016 Nov 9; '''21''' (11):
Feature-based classification of human transcription factors into hypothetical sub-classes related to regulatory function. Description: Ehsani, Rezvan, et al. Feature-based classification of human transcription factors into hypothetical sub-classes related to regulatory function. ''BMC Bioinformatics''. 2016 Nov 14; '''17''' (1):459
Rapid Evaporative Ionisation Mass Spectrometry (REIMS) Provides Accurate Direct from Culture Species Identification within the Genus Candida. Description: Cameron, Simon J S, et al. Rapid Evaporative Ionisation Mass Spectrometry (REIMS) Provides Accurate Direct from Culture Species Identification within the Genus Candida. ''Sci Rep''. 2016 Nov 14; '''6''': 36788
Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations. Description: Chen, Jinying, et al. Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations. ''JMIR Med Inform''. 2016 Nov 30; '''4''' (4):e40
Decoding Single Molecule Time Traces with Dynamic Disorder. Description: Hwang, Wonseok, et al. Decoding Single Molecule Time Traces with Dynamic Disorder. ''PLoS Comput Biol''. 2016 Dec; '''12''' (12):e1005286
Disruption of Pseudomonas putida by high pressure homogenization: a comparison of the predictive capacity of three process models for the efficient release of arginine deiminase. Description: Patil, Mahesh D, et al. Disruption of Pseudomonas putida by high pressure homogenization: a comparison of the predictive capacity of three process models for the efficient release of arginine deiminase. ''AMB Express''. 2016 Dec; '''6''' (1):84
Enhancing interacting residue prediction with integrated contact matrix prediction in protein-protein interaction. Description: Du, Tianchuan, et al. Enhancing interacting residue prediction with integrated contact matrix prediction in protein-protein interaction. ''EURASIP J Bioinform Syst Biol''. 2016 Dec; '''2016''' (1):17
Utility and Limitations of Using Gene Expression Data to Identify Functional Associations. Description: Uygun, Sahra, et al. Utility and Limitations of Using Gene Expression Data to Identify Functional Associations. ''PLoS Comput Biol''. 2016 Dec; '''12''' (12):e1005244
Word meaning in the ventral visual path: a perceptual to conceptual gradient of semantic coding. Description: Borghesani, Valentina, et al. Word meaning in the ventral visual path: a perceptual to conceptual gradient of semantic coding. ''Neuroimage''. 2016 Dec; '''143''': 128-140
A Hyperspectral Survey of New York City Lighting Technology. Description: Dobler, Gregory, et al. A Hyperspectral Survey of New York City Lighting Technology. ''Sensors (Basel)''. 2016 Dec 5; '''16''' (12):
Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia. Description: Pinaya, Walter H L, et al. Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia. ''Sci Rep''. 2016 Dec 12; '''6''': 38897
SnoReport 2.0: new features and a refined Support Vector Machine to improve snoRNA identification. Description: de Araujo Oliveira, Joao Victor, et al. SnoReport 2.0: new features and a refined Support Vector Machine to improve snoRNA identification. ''BMC Bioinformatics''. 2016 Dec 15; '''17''' (Suppl 18):464
Rapid tuning shifts in human auditory cortex enhance speech intelligibility. Description: Holdgraf, Christopher R, et al. Rapid tuning shifts in human auditory cortex enhance speech intelligibility. ''Nat Commun''. 2016 Dec 20; '''7''': 13654
Beyond Rotatable Bond Counts: Capturing 3D Conformational Flexibility in a Single Descriptor. Description: Wicker, Jerome G P, et al. Beyond Rotatable Bond Counts: Capturing 3D Conformational Flexibility in a Single Descriptor. ''J Chem Inf Model''. 2016 Dec 27; '''56''' (12):2347-2352
A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition. Description: Saez, Yago, et al. A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition. ''Sensors (Basel)''. 2016 Dec 30; '''17''' (1):
Snow's case revisited: new tool in geographic profiling of epidemiology. Description: Papini, Alessio, et al. Snow's case revisited: new tool in geographic profiling of epidemiology. ''Braz J Infect Dis''. 2017 Jan - Feb; '''21''' (1):112-115
Accurate prediction of functional effects for variants by combining gradient tree boosting with optimal neighborhood properties. Description: Pan, Yuliang, et al. Accurate prediction of functional effects for variants by combining gradient tree boosting with optimal neighborhood properties. ''PLoS One''. 2017; '''12''' (6):e0179314
A computational model of the integration of landmarks and motion in the insect central complex. Description: Cope, Alex J, et al. A computational model of the integration of landmarks and motion in the insect central complex. ''PLoS One''. 2017; '''12''' (2):e0172325
A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis. Description: McGinnis, Ryan S, et al. A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis. ''PLoS One''. 2017; '''12''' (6):e0178366
A machine learning approach to triaging patients with chronic obstructive pulmonary disease. Description: Swaminathan, Sumanth, et al. A machine learning approach to triaging patients with chronic obstructive pulmonary disease. ''PLoS One''. 2017; '''12''' (11):e0188532
A Novel Phosphorylation Site-Kinase Network-Based Method for the Accurate Prediction of Kinase-Substrate Relationships. Description: Wang, Minghui, et al. A Novel Phosphorylation Site-Kinase Network-Based Method for the Accurate Prediction of Kinase-Substrate Relationships. ''Biomed Res Int''. 2017; '''2017''': 1826496
A random forest classifier for detecting rare variants in NGS data from viral populations. Description: Malhotra, Raunaq, et al. A random forest classifier for detecting rare variants in NGS data from viral populations. ''Comput Struct Biotechnol J''. 2017; '''15''': 388-395
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions. Description: Zdravevski, Eftim, et al. Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions. ''PLoS One''. 2017; '''12''' (9):e0184216
BinSanity: unsupervised clustering of environmental microbial assemblies using coverage and affinity propagation. Description: Graham, Elaina D, et al. BinSanity: unsupervised clustering of environmental microbial assemblies using coverage and affinity propagation. ''PeerJ''. 2017; '''5''': e3035
Can machine learning complement traditional medical device surveillance? A case study of dual-chamber implantable cardioverter-defibrillators. Description: Ross, Joseph S, et al. Can machine learning complement traditional medical device surveillance? A case study of dual-chamber implantable cardioverter-defibrillators. ''Med Devices (Auckl)''. 2017; '''10''': 165-188
Cerebral 18F-FDG PET in macrophagic myofasciitis: An individual SVM-based approach. Description: Blanc-Durand, Paul, et al. Cerebral 18F-FDG PET in macrophagic myofasciitis: An individual SVM-based approach. ''PLoS One''. 2017; '''12''' (7):e0181152
Classifying MCI Subtypes in Community-Dwelling Elderly Using Cross-Sectional and Longitudinal MRI-Based Biomarkers. Description: Guan, Hao, et al. Classifying MCI Subtypes in Community-Dwelling Elderly Using Cross-Sectional and Longitudinal MRI-Based Biomarkers. ''Front Aging Neurosci''. 2017; '''9''': 309
Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function. Description: Reimann, Michael W, et al. Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function. ''Front Comput Neurosci''. 2017; '''11''': 48
Community-Level Differences in the Microbiome of Healthy Wild Mallards and Those Infected by Influenza A Viruses. Description: Ganz, Holly H, et al. Community-Level Differences in the Microbiome of Healthy Wild Mallards and Those Infected by Influenza A Viruses. ''mSystems''. 2017 Jan-Feb; '''2''' (1):
Could a Neuroscientist Understand a Microprocessor? Description: Jonas, Eric, et al. Could a Neuroscientist Understand a Microprocessor? ''PLoS Comput Biol''. 2017 Jan; '''13''' (1):e1005268
Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning. Description: Horng, Steven, et al. Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning. ''PLoS One''. 2017; '''12''' (4):e0174708
Data-driven system to predict academic grades and dropout. Description: Rovira, Sergi, et al. Data-driven system to predict academic grades and dropout. ''PLoS One''. 2017; '''12''' (2):e0171207
Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells. Description: Kavitha, Muthu Subash, et al. Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells. ''PLoS One''. 2017; '''12''' (12):e0189974
Development of an interstitial cystitis risk score for bladder permeability. Description: Lamb, Laura E, et al. Development of an interstitial cystitis risk score for bladder permeability. ''PLoS One''. 2017; '''12''' (10):e0185686
Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips. Description: Clerico, Andrea, et al. Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips. ''Front Comput Neurosci''. 2017; '''11''': 115
Glycated lysine-141 in haptoglobin improves the diagnostic accuracy for type 2 diabetes mellitus in combination with glycated hemoglobin HbA1c and fasting plasma glucose. Description: Spiller, Sandro, et al. Glycated lysine-141 in haptoglobin improves the diagnostic accuracy for type 2 diabetes mellitus in combination with glycated hemoglobin HbA1c and fasting plasma glucose. ''Clin Proteomics''. 2017; '''14''': 10
High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing. Description: Adams, Warwick R. High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing. ''PLoS One''. 2017; '''12''' (11):e0188226
History vs. legend: Retracing invasion and spread of Oxalis pes-caprae L. in Europe and the Mediterranean area. Description: Papini, Alessio, et al. History vs. legend: Retracing invasion and spread of Oxalis pes-caprae L. in Europe and the Mediterranean area. ''PLoS One''. 2017; '''12''' (12):e0190237
HopBase: a unified resource for Humulus genomics. Description: Hill, Steven T, et al. HopBase: a unified resource for Humulus genomics. ''Database (Oxford)''. 2017 Jan 1; '''2017''' (1):
Inattention in primary school is not good for your future school achievement-A pattern classification study. Description: Lundervold, Astri J, et al. Inattention in primary school is not good for your future school achievement-A pattern classification study. ''PLoS One''. 2017; '''12''' (11):e0188310
Inter-personal diversity and temporal dynamics of dental, tongue, and salivary microbiota in the healthy oral cavity. Description: Hall, Michael W, et al. Inter-personal diversity and temporal dynamics of dental, tongue, and salivary microbiota in the healthy oral cavity. ''NPJ Biofilms Microbiomes''. 2017; '''3''': 2
Leaf-GP: an open and automated software application for measuring growth phenotypes for arabidopsis and wheat. Description: Zhou, Ji, et al. Leaf-GP: an open and automated software application for measuring growth phenotypes for arabidopsis and wheat. ''Plant Methods''. 2017; '''13''': 117
Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features. Description: Ion-Margineanu, Adrian, et al. Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features. ''Front Neurosci''. 2017; '''11''': 398
Mapping the emotional face. How individual face parts contribute to successful emotion recognition. Description: Wegrzyn, Martin, et al. Mapping the emotional face. How individual face parts contribute to successful emotion recognition. ''PLoS One''. 2017; '''12''' (5):e0177239
Mechanism of Chinese Medicine Herbs Effects on Chronic Heart Failure Based on Metabolic Profiling. Description: Gao, Kuo, et al. Mechanism of Chinese Medicine Herbs Effects on Chronic Heart Failure Based on Metabolic Profiling. ''Front Pharmacol''. 2017; '''8''': 864
Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps. Description: Ferrer-Albero, Ana, et al. Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps. ''PLoS One''. 2017; '''12''' (7):e0181263
Novel Structural Parameters of Ig-Ag Complexes Yield a Quantitative Description of Interaction Specificity and Binding Affinity. Description: Marillet, Simon, et al. Novel Structural Parameters of Ig-Ag Complexes Yield a Quantitative Description of Interaction Specificity and Binding Affinity. ''Front Immunol''. 2017; '''8''': 34
Novel Two-Step Classifier for Torsades de Pointes Risk Stratification from Direct Features. Description: Parikh, Jaimit, et al. Novel Two-Step Classifier for Torsades de Pointes Risk Stratification from Direct Features. ''Front Pharmacol''. 2017; '''8''': 816
Opportunities drive the global distribution of protected areas. Description: Baldi, German, et al. Opportunities drive the global distribution of protected areas. ''PeerJ''. 2017; '''5''': e2989
PMLB: a large benchmark suite for machine learning evaluation and comparison. Description: Olson, Randal S, et al. PMLB: a large benchmark suite for machine learning evaluation and comparison. ''BioData Min''. 2017; '''10''': 36
Predicting the HMA-LMA Status in Marine Sponges by Machine Learning. Description: Moitinho-Silva, Lucas, et al. Predicting the HMA-LMA Status in Marine Sponges by Machine Learning. ''Front Microbiol''. 2017; '''8''': 752
Predictors of all-cause mortality among 514,866 participants from the Korean National Health Screening Cohort. Description: Ahn, Choonghyun, et al. Predictors of all-cause mortality among 514,866 participants from the Korean National Health Screening Cohort. ''PLoS One''. 2017; '''12''' (9):e0185458
Quantification of Inter-Sample Differences in T-Cell Receptor Repertoires Using Sequence-Based Information. Description: Yokota, Ryo, et al. Quantification of Inter-Sample Differences in T-Cell Receptor Repertoires Using Sequence-Based Information. ''Front Immunol''. 2017; '''8''': 1500
Rapid Design of Knowledge-Based Scoring Potentials for Enrichment of Near-Native Geometries in Protein-Protein Docking. Description: Sasse, Alexander, et al. Rapid Design of Knowledge-Based Scoring Potentials for Enrichment of Near-Native Geometries in Protein-Protein Docking. ''PLoS One''. 2017; '''12''' (1):e0170625
SCRAMBLE'N'GAMBLE: a tool for fast and facile generation of random data for statistical evaluation of QSAR models. Description: Lipinski, Piotr F J, et al. SCRAMBLE'N'GAMBLE: a tool for fast and facile generation of random data for statistical evaluation of QSAR models. ''Chem Zvesti''. 2017; '''71''' (11):2217-2232
Shared IgG Infection Signatures vs. Hemorrhage-Restricted IgA Clusters in Human Dengue: A Phenotype of Differential Class-Switch via TGFbeta1. Description: Huang, Chung-Hao, et al. Shared IgG Infection Signatures vs. Hemorrhage-Restricted IgA Clusters in Human Dengue: A Phenotype of Differential Class-Switch via TGFbeta1. ''Front Immunol''. 2017; '''8''': 1726
Simple agarose micro-confinement array and machine-learning-based classification for analyzing the patterned differentiation of mesenchymal stem cells. Description: Tanaka, Nobuyuki, et al. Simple agarose micro-confinement array and machine-learning-based classification for analyzing the patterned differentiation of mesenchymal stem cells. ''PLoS One''. 2017; '''12''' (4):e0173647
Social sensing of urban land use based on analysis of Twitter users' mobility patterns. Description: Soliman, Aiman, et al. Social sensing of urban land use based on analysis of Twitter users' mobility patterns. ''PLoS One''. 2017; '''12''' (7):e0181657
Socioeconomic characterization of regions through the lens of individual financial transactions. Description: Hashemian, Behrooz, et al. Socioeconomic characterization of regions through the lens of individual financial transactions. ''PLoS One''. 2017; '''12''' (11):e0187031
Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism. Description: Levy, Sebastien, et al. Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism. ''Mol Autism''. 2017; '''8''': 65
Structural features embedded in G protein-coupled receptor co-crystal structures are key to their success in virtual screening. Description: Coudrat, Thomas, et al. Structural features embedded in G protein-coupled receptor co-crystal structures are key to their success in virtual screening. ''PLoS One''. 2017; '''12''' (4):e0174719
Supervised Estimation of Granger-Based Causality between Time Series. Description: Benozzo, Danilo, et al. Supervised Estimation of Granger-Based Causality between Time Series. ''Front Neuroinform''. 2017; '''11''': 68
The impacts of drift and selection on genomic evolution in insects. Description: Tong, K Jun, et al. The impacts of drift and selection on genomic evolution in insects. ''PeerJ''. 2017; '''5''': e3241
Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface. Description: Batula, Alyssa M, et al. Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface. ''Biomed Res Int''. 2017; '''2017''': 1463512
Virtual Screening of DrugBank Reveals Two Drugs as New BCRP Inhibitors. Description: Montanari, Floriane, et al. Virtual Screening of DrugBank Reveals Two Drugs as New BCRP Inhibitors. ''SLAS Discov''. 2017 Jan; '''22''' (1):86-93
Virtual-screening workflow tutorials and prospective results from the Teach-Discover-Treat competition 2014 against malaria. Description: Riniker, Sereina, et al. Virtual-screening workflow tutorials and prospective results from the Teach-Discover-Treat competition 2014 against malaria. ''F1000Res''. 2017; '''6''': 1136
White Matter Tract Segmentation as Multiple Linear Assignment Problems. Description: Sharmin, Nusrat, et al. White Matter Tract Segmentation as Multiple Linear Assignment Problems. ''Front Neurosci''. 2017; '''11''': 754
Layer-specificity in the effects of attention and working memory on activity in primary visual cortex. Description: van Kerkoerle, Timo, et al. Layer-specificity in the effects of attention and working memory on activity in primary visual cortex. ''Nat Commun''. 2017 Jan 5; '''8''': 13804
A systematic comparative evaluation of biclustering techniques. Description: Padilha, Victor A, et al. A systematic comparative evaluation of biclustering techniques. ''BMC Bioinformatics''. 2017 Jan 23; '''18''' (1):55
MetaMLST: multi-locus strain-level bacterial typing from metagenomic samples. Description: Zolfo, Moreno, et al. MetaMLST: multi-locus strain-level bacterial typing from metagenomic samples. ''Nucleic Acids Res''. 2017 Jan 25; '''45''' (2):e7
A Systematic Relationship Between Functional Connectivity and Intracortical Myelin in the Human Cerebral Cortex. Description: Huntenburg, Julia M, et al. A Systematic Relationship Between Functional Connectivity and Intracortical Myelin in the Human Cerebral Cortex. ''Cereb Cortex''. 2017 Feb 1; '''27''' (2):981-997
SEPIa, a knowledge-driven algorithm for predicting conformational B-cell epitopes from the amino acid sequence. Description: Dalkas, Georgios A, et al. SEPIa, a knowledge-driven algorithm for predicting conformational B-cell epitopes from the amino acid sequence. ''BMC Bioinformatics''. 2017 Feb 10; '''18''' (1):95
Angiotensin type 1A receptor regulates beta-arrestin binding of the beta2-adrenergic receptor via heterodimerization. Description: Toth, Andras D, et al. Angiotensin type 1A receptor regulates beta-arrestin binding of the beta2-adrenergic receptor via heterodimerization. ''Mol Cell Endocrinol''. 2017 Feb 15; '''442''': 113-124
Unboxing cluster heatmaps. Description: Engle, Sophie, et al. Unboxing cluster heatmaps. ''BMC Bioinformatics''. 2017 Feb 15; '''18''' (Suppl 2):63
RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach. Description: Pan, Xiaoyong, et al. RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach. ''BMC Bioinformatics''. 2017 Feb 28; '''18''' (1):136
Detecting High-Order Epistasis in Nonlinear Genotype-Phenotype Maps. Description: Sailer, Zachary R, et al. Detecting High-Order Epistasis in Nonlinear Genotype-Phenotype Maps. ''Genetics''. 2017 Mar; '''205''' (3):1079-1088
Massively multiplex single-cell Hi-C. Description: Ramani, Vijay, et al. Massively multiplex single-cell Hi-C. ''Nat Methods''. 2017 Mar; '''14''' (3):263-266
Using recurrent neural network models for early detection of heart failure onset. Description: Choi, Edward, et al. Using recurrent neural network models for early detection of heart failure onset. ''J Am Med Inform Assoc''. 2017 Mar 1; '''24''' (2):361-370
Diverse origin of mitochondrial lineages in Iron Age Black Sea Scythians. Description: Juras, Anna, et al. Diverse origin of mitochondrial lineages in Iron Age Black Sea Scythians. ''Sci Rep''. 2017 Mar 7; '''7''': 43950
Functional MRI in Awake Dogs Predicts Suitability for Assistance Work. Description: Berns, Gregory S, et al. Functional MRI in Awake Dogs Predicts Suitability for Assistance Work. ''Sci Rep''. 2017 Mar 7; '''7''': 43704
MOST: most-similar ligand based approach to target prediction. Description: Huang, Tao, et al. MOST: most-similar ligand based approach to target prediction. ''BMC Bioinformatics''. 2017 Mar 11; '''18''' (1):165
Prediction of virus-host infectious association by supervised learning methods. Description: Zhang, Mengge, et al. Prediction of virus-host infectious association by supervised learning methods. ''BMC Bioinformatics''. 2017 Mar 14; '''18''' (Suppl 3):60
The telomeric DNA damage response occurs in the absence of chromatin decompaction. Description: Vancevska, Aleksandra, et al. The telomeric DNA damage response occurs in the absence of chromatin decompaction. ''Genes Dev''. 2017 Mar 15; '''31''' (6):567-577
Late Danubian mitochondrial genomes shed light into the Neolithisation of Central Europe in the 5(th) millennium BC. Description: Chylenski, Maciej, et al. Late Danubian mitochondrial genomes shed light into the Neolithisation of Central Europe in the 5(th) millennium BC. ''BMC Evol Biol''. 2017 Mar 16; '''17''' (1):80
Nonpher: computational method for design of hard-to-synthesize structures. Description: Vorsilak, Milan, et al. Nonpher: computational method for design of hard-to-synthesize structures. ''J Cheminform''. 2017 Mar 20; '''9''' (1):20
Discriminating cognitive status in Parkinson's disease through functional connectomics and machine learning. Description: Abos, Alexandra, et al. Discriminating cognitive status in Parkinson's disease through functional connectomics and machine learning. ''Sci Rep''. 2017 Mar 28; '''7''': 45347
Epigenetic aging signatures in mice livers are slowed by dwarfism, calorie restriction and rapamycin treatment. Description: Wang, Tina, et al. Epigenetic aging signatures in mice livers are slowed by dwarfism, calorie restriction and rapamycin treatment. ''Genome Biol''. 2017 Mar 28; '''18''' (1):57
Microbial strain-level population structure and genetic diversity from metagenomes. Description: Truong, Duy Tin, et al. Microbial strain-level population structure and genetic diversity from metagenomes. ''Genome Res''. 2017 Apr; '''27''' (4):626-638
Power analysis of single-cell RNA-sequencing experiments. Description: Svensson, Valentine, et al. Power analysis of single-cell RNA-sequencing experiments. ''Nat Methods''. 2017 Apr; '''14''' (4):381-387
Prospective identification of hematopoietic lineage choice by deep learning. Description: Buggenthin, Felix, et al. Prospective identification of hematopoietic lineage choice by deep learning. ''Nat Methods''. 2017 Apr; '''14''' (4):403-406
DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning. Description: Angermueller, Christof, et al. DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning. ''Genome Biol''. 2017 Apr 11; '''18''' (1):67
Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data. Description: Garcia-Chimeno, Yolanda, et al. Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data. ''BMC Med Inform Decis Mak''. 2017 Apr 13; '''17''' (1):38
Complete fold annotation of the human proteome using a novel structural feature space. Description: Middleton, Sarah A, et al. Complete fold annotation of the human proteome using a novel structural feature space. ''Sci Rep''. 2017 Apr 13; '''7''': 46321
Machine learning based compartment models with permeability for white matter microstructure imaging. Description: Nedjati-Gilani, Gemma L, et al. Machine learning based compartment models with permeability for white matter microstructure imaging. ''Neuroimage''. 2017 Apr 15; '''150''': 119-135
A Broadly Neutralizing Antibody Targets the Dynamic HIV Envelope Trimer Apex via a Long, Rigidified, and Anionic beta-Hairpin Structure. Description: Lee, Jeong Hyun, et al. A Broadly Neutralizing Antibody Targets the Dynamic HIV Envelope Trimer Apex via a Long, Rigidified, and Anionic beta-Hairpin Structure. ''Immunity''. 2017 Apr 18; '''46''' (4):690-702
Decoding Information for Grasping from the Macaque Dorsomedial Visual Stream. Description: Filippini, Matteo, et al. Decoding Information for Grasping from the Macaque Dorsomedial Visual Stream. ''J Neurosci''. 2017 Apr 19; '''37''' (16):4311-4322
The within-host population dynamics of Mycobacterium tuberculosis vary with treatment efficacy. Description: Trauner, Andrej, et al. The within-host population dynamics of Mycobacterium tuberculosis vary with treatment efficacy. ''Genome Biol''. 2017 Apr 19; '''18''' (1):71
1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Description: Gorski, Mathias, et al. 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. ''Sci Rep''. 2017 Apr 28; '''7''': 45040
Functional implications of microbial and viral gut metagenome changes in early stage L-DOPA-naive Parkinson's disease patients. Description: Bedarf, J R, et al. Functional implications of microbial and viral gut metagenome changes in early stage L-DOPA-naive Parkinson's disease patients. ''Genome Med''. 2017 Apr 28; '''9''' (1):39
A new genome-mining tool redefines the lasso peptide biosynthetic landscape. Description: Tietz, Jonathan I, et al. A new genome-mining tool redefines the lasso peptide biosynthetic landscape. ''Nat Chem Biol''. 2017 May; '''13''' (5):470-478
Covariation of Peptide Abundances Accurately Reflects Protein Concentration Differences. Description: Zhang, Bo, et al. Covariation of Peptide Abundances Accurately Reflects Protein Concentration Differences. ''Mol Cell Proteomics''. 2017 May; '''16''' (5):936-948
Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer. Description: Inglese, Paolo, et al. Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer. ''Chem Sci''. 2017 May 1; '''8''' (5):3500-3511
Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteins. Description: Basu, Sankar, et al. Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteins. ''J Comput Aided Mol Des''. 2017 May; '''31''' (5):453-466
Single-molecule protein identification by sub-nanopore sensors. Description: Kolmogorov, Mikhail, et al. Single-molecule protein identification by sub-nanopore sensors. ''PLoS Comput Biol''. 2017 May; '''13''' (5):e1005356
Spitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas. Description: Lazova, Rossitza, et al. Spitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas. ''Mod Pathol''. 2017 May; '''30''' (5):640-649
Accurate Classification of Protein Subcellular Localization from High-Throughput Microscopy Images Using Deep Learning. Description: Parnamaa, Tanel, et al. Accurate Classification of Protein Subcellular Localization from High-Throughput Microscopy Images Using Deep Learning. ''G3 (Bethesda)''. 2017 May 5; '''7''' (5):1385-1392
Enhancing identification of cancer types via lowly-expressed microRNAs. Description: Rasnic, Roni, et al. Enhancing identification of cancer types via lowly-expressed microRNAs. ''Nucleic Acids Res''. 2017 May 19; '''45''' (9):5048-5060
Modeling complex patterns of differential DNA methylation that associate with gene expression changes. Description: Schlosberg, Christopher E, et al. Modeling complex patterns of differential DNA methylation that associate with gene expression changes. ''Nucleic Acids Res''. 2017 May 19; '''45''' (9):5100-5111
Prediction of cognitive and motor outcome of preterm infants based on automatic quantitative descriptors from neonatal MR brain images. Description: Moeskops, Pim, et al. Prediction of cognitive and motor outcome of preterm infants based on automatic quantitative descriptors from neonatal MR brain images. ''Sci Rep''. 2017 May 19; '''7''' (1):2163
Taking promoters out of enhancers in sequence based predictions of tissue-specific mammalian enhancers. Description: Herman-Izycka, Julia, et al. Taking promoters out of enhancers in sequence based predictions of tissue-specific mammalian enhancers. ''BMC Med Genomics''. 2017 May 24; '''10''' (Suppl 1):34
Optimizing complex phenotypes through model-guided multiplex genome engineering. Description: Kuznetsov, Gleb, et al. Optimizing complex phenotypes through model-guided multiplex genome engineering. ''Genome Biol''. 2017 May 25; '''18''' (1):100
Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer. Description: Isella, Claudio, et al. Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer. ''Nat Commun''. 2017 May 31; '''8''': 15107
Matrix Metalloproteinase-9 and Synaptic Plasticity in the Central Amygdala in Control of Alcohol-Seeking Behavior. Description: Stefaniuk, Marzena, et al. Matrix Metalloproteinase-9 and Synaptic Plasticity in the Central Amygdala in Control of Alcohol-Seeking Behavior. ''Biol Psychiatry''. 2017 Jun 1; '''81''' (11):907-917
Predicting mild cognitive impairment from spontaneous spoken utterances. Description: Asgari, Meysam, et al. Predicting mild cognitive impairment from spontaneous spoken utterances. ''Alzheimers Dement (N Y)''. 2017 Jun; '''3''' (2):219-228
Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis. Description: Mechelli, Andrea, et al. Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis. ''Schizophr Res''. 2017 Jun; '''184''': 32-38
Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning. Description: Sanchez-Gonzalez, A, et al. Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning. ''Nat Commun''. 2017 Jun 5; '''8''': 15461
Faller Classification in Older Adults Using Wearable Sensors Based on Turn and Straight-Walking Accelerometer-Based Features. Description: Drover, Dylan, et al. Faller Classification in Older Adults Using Wearable Sensors Based on Turn and Straight-Walking Accelerometer-Based Features. ''Sensors (Basel)''. 2017 Jun 7; '''17''' (6):
Predicting anatomic therapeutic chemical classification codes using tiered learning. Description: Olson, Thomas, et al. Predicting anatomic therapeutic chemical classification codes using tiered learning. ''BMC Bioinformatics''. 2017 Jun 7; '''18''' (Suppl 8):266
A data driven approach to understanding the organization of high-level visual cortex. Description: Watson, David M, et al. A data driven approach to understanding the organization of high-level visual cortex. ''Sci Rep''. 2017 Jun 15; '''7''' (1):3596
HIPred: an integrative approach to predicting haploinsufficient genes. Description: Shihab, Hashem A, et al. HIPred: an integrative approach to predicting haploinsufficient genes. ''Bioinformatics''. 2017 Jun 15; '''33''' (12):1751-1757
Predicting the impact of non-coding variants on DNA methylation. Description: Zeng, Haoyang, et al. Predicting the impact of non-coding variants on DNA methylation. ''Nucleic Acids Res''. 2017 Jun 20; '''45''' (11):e99
Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data. Description: Koutsoukas, Alexios, et al. Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data. ''J Cheminform''. 2017 Jun 28; '''9''' (1):42
An Automatic Car Counting System Using OverFeat Framework. Description: Biswas, Debojit, et al. An Automatic Car Counting System Using OverFeat Framework. ''Sensors (Basel)''. 2017 Jun 30; '''17''' (7):
Moderate Exercise Has Limited but Distinguishable Effects on the Mouse Microbiome. Description: Lamoureux, Emily V, et al. Moderate Exercise Has Limited but Distinguishable Effects on the Mouse Microbiome. ''mSystems''. 2017 Jul-Aug; '''2''' (4):
DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins. Description: Raimondi, Daniele, et al. DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins. ''Nucleic Acids Res''. 2017 Jul 3; '''45''' (W1):W201-W206
Stable and Dynamic Coding for Working Memory in Primate Prefrontal Cortex. Description: Spaak, Eelke, et al. Stable and Dynamic Coding for Working Memory in Primate Prefrontal Cortex. ''J Neurosci''. 2017 Jul 5; '''37''' (27):6503-6516
Topological analysis of multicellular complexity in the plant hypocotyl. Description: Jackson, Matthew Db, et al. Topological analysis of multicellular complexity in the plant hypocotyl. ''Elife''. 2017 Jul 6; '''6''':
Multiple Ligand-Bound States of a Phosphohexomutase Revealed by Principal Component Analysis of NMR Peak Shifts. Description: Xu, Jia, et al. Multiple Ligand-Bound States of a Phosphohexomutase Revealed by Principal Component Analysis of NMR Peak Shifts. ''Sci Rep''. 2017 Jul 13; '''7''' (1):5343
miniMDS: 3D structural inference from high-resolution Hi-C data. Description: Rieber, Lila, et al. miniMDS: 3D structural inference from high-resolution Hi-C data. ''Bioinformatics''. 2017 Jul 15; '''33''' (14):i261-i266
Assessing the model transferability for prediction of transcription factor binding sites based on chromatin accessibility. Description: Liu, Sheng, et al. Assessing the model transferability for prediction of transcription factor binding sites based on chromatin accessibility. ''BMC Bioinformatics''. 2017 Jul 27; '''18''' (1):355
Attention Selectively Reshapes the Geometry of Distributed Semantic Representation. Description: Nastase, Samuel A, et al. Attention Selectively Reshapes the Geometry of Distributed Semantic Representation. ''Cereb Cortex''. 2017 Aug 1; '''27''' (8):4277-4291
Modelling variability in cardiac electrophysiology: a moment-matching approach. Description: Tixier, Eliott, et al. Modelling variability in cardiac electrophysiology: a moment-matching approach. ''J R Soc Interface''. 2017 Aug; '''14''' (133):
A tandem simulation framework for predicting mapping quality. Description: Langmead, Ben. A tandem simulation framework for predicting mapping quality. ''Genome Biol''. 2017 Aug 10; '''18''' (1):152
Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set. Description: Lenselink, Eelke B, et al. Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set. ''J Cheminform''. 2017 Aug 14; '''9''' (1):45
Rapid phenotypic individualization of bacterial sister cells. Description: Govers, Sander K, et al. Rapid phenotypic individualization of bacterial sister cells. ''Sci Rep''. 2017 Aug 16; '''7''' (1):8473
Social Control of Hypothalamus-Mediated Male Aggression. Description: Yang, Taehong, et al. Social Control of Hypothalamus-Mediated Male Aggression. ''Neuron''. 2017 Aug 16; '''95''' (4):955-970.e4
Direct Learning Hidden Excited State Interaction Patterns from ab initio Dynamics and Its Implication as Alternative Molecular Mechanism Models. Description: Liu, Fang, et al. Direct Learning Hidden Excited State Interaction Patterns from ab initio Dynamics and Its Implication as Alternative Molecular Mechanism Models. ''Sci Rep''. 2017 Aug 18; '''7''' (1):8737
Exploring the Sequence-based Prediction of Folding Initiation Sites in Proteins. Description: Raimondi, Daniele, et al. Exploring the Sequence-based Prediction of Folding Initiation Sites in Proteins. ''Sci Rep''. 2017 Aug 18; '''7''' (1):8826
Altered topology of neural circuits in congenital prosopagnosia. Description: Rosenthal, Gideon, et al. Altered topology of neural circuits in congenital prosopagnosia. ''Elife''. 2017 Aug 21; '''6''':
Word2Vec inversion and traditional text classifiers for phenotyping lupus. Description: Turner, Clayton A, et al. Word2Vec inversion and traditional text classifiers for phenotyping lupus. ''BMC Med Inform Decis Mak''. 2017 Aug 22; '''17''' (1):126
Machine learning-XGBoost analysis of language networks to classify patients with epilepsy. Description: Torlay, L, et al. Machine learning-XGBoost analysis of language networks to classify patients with epilepsy. ''Brain Inform''. 2017 Sep; '''4''' (3):159-169
Mapping Language Networks Using the Structural and Dynamic Brain Connectomes. Description: Del Gaizo, John, et al. Mapping Language Networks Using the Structural and Dynamic Brain Connectomes. ''eNeuro''. 2017 Sep-Oct; '''4''' (5):
Quantitative multiplexed proteomics of Taenia solium cysts obtained from the skeletal muscle and central nervous system of pigs. Description: Navarrete-Perea, Jose, et al. Quantitative multiplexed proteomics of Taenia solium cysts obtained from the skeletal muscle and central nervous system of pigs. ''PLoS Negl Trop Dis''. 2017 Sep; '''11''' (9):e0005962
Sequence features of viral and human Internal Ribosome Entry Sites predictive of their activity. Description: Gritsenko, Alexey A, et al. Sequence features of viral and human Internal Ribosome Entry Sites predictive of their activity. ''PLoS Comput Biol''. 2017 Sep; '''13''' (9):e1005734
Molecular de-novo design through deep reinforcement learning. Description: Olivecrona, Marcus, et al. Molecular de-novo design through deep reinforcement learning. ''J Cheminform''. 2017 Sep 4; '''9''' (1):48
Understanding mutational effects in digenic diseases. Description: Gazzo, Andrea, et al. Understanding mutational effects in digenic diseases. ''Nucleic Acids Res''. 2017 Sep 6; '''45''' (15):e140
Endothelium-derived extracellular vesicles promote splenic monocyte mobilization in myocardial infarction. Description: Akbar, Naveed, et al. Endothelium-derived extracellular vesicles promote splenic monocyte mobilization in myocardial infarction. ''JCI Insight''. 2017 Sep 7; '''2''' (17):
Bilingual Language Switching in the Laboratory versus in the Wild: The Spatiotemporal Dynamics of Adaptive Language Control. Description: Blanco-Elorrieta, Esti, et al. Bilingual Language Switching in the Laboratory versus in the Wild: The Spatiotemporal Dynamics of Adaptive Language Control. ''J Neurosci''. 2017 Sep 13; '''37''' (37):9022-9036
Segmentation and classification of two-channel C. elegans nucleus-labeled fluorescence images. Description: Zhao, Mengdi, et al. Segmentation and classification of two-channel C. elegans nucleus-labeled fluorescence images. ''BMC Bioinformatics''. 2017 Sep 15; '''18''' (1):412
Human Amygdala Tracks a Feature-Based Valence Signal Embedded within the Facial Expression of Surprise. Description: Kim, M Justin, et al. Human Amygdala Tracks a Feature-Based Valence Signal Embedded within the Facial Expression of Surprise. ''J Neurosci''. 2017 Sep 27; '''37''' (39):9510-9518
MLACP: machine-learning-based prediction of anticancer peptides. Description: Manavalan, Balachandran, et al. MLACP: machine-learning-based prediction of anticancer peptides. ''Oncotarget''. 2017 Sep 29; '''8''' (44):77121-77136
A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action. Description: Abadi, Shiran, et al. A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action. ''PLoS Comput Biol''. 2017 Oct; '''13''' (10):e1005807
Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization. Description: Bedbrook, Claire N, et al. Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization. ''PLoS Comput Biol''. 2017 Oct; '''13''' (10):e1005786
Interpretation of microbiota-based diagnostics by explaining individual classifier decisions. Description: Eck, A, et al. Interpretation of microbiota-based diagnostics by explaining individual classifier decisions. ''BMC Bioinformatics''. 2017 Oct 4; '''18''' (1):441
Enhanced unbiased sampling of protein dynamics using evolutionary coupling information. Description: Shamsi, Zahra, et al. Enhanced unbiased sampling of protein dynamics using evolutionary coupling information. ''Sci Rep''. 2017 Oct 5; '''7''' (1):12700
Well-Being Tracking via Smartphone-Measured Activity and Sleep: Cohort Study. Description: DeMasi, Orianna, et al. Well-Being Tracking via Smartphone-Measured Activity and Sleep: Cohort Study. ''JMIR Mhealth Uhealth''. 2017 Oct 5; '''5''' (10):e137
RIFS: a randomly restarted incremental feature selection algorithm. Description: Ye, Yuting, et al. RIFS: a randomly restarted incremental feature selection algorithm. ''Sci Rep''. 2017 Oct 12; '''7''' (1):13013
Recommending Education Materials for Diabetic Questions Using Information Retrieval Approaches. Description: Zeng, Yuqun, et al. Recommending Education Materials for Diabetic Questions Using Information Retrieval Approaches. ''J Med Internet Res''. 2017 Oct 16; '''19''' (10):e342
Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers. Description: Wang, Yunguan, et al. Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers. ''BMC Pulm Med''. 2017 Oct 20; '''17''' (1):133
Fibroblast bioenergetics to classify amyotrophic lateral sclerosis patients. Description: Konrad, Csaba, et al. Fibroblast bioenergetics to classify amyotrophic lateral sclerosis patients. ''Mol Neurodegener''. 2017 Oct 24; '''12''' (1):76
Selective Proteomic Analysis of Antibiotic-Tolerant Cellular Subpopulations in Pseudomonas aeruginosa Biofilms. Description: Babin, Brett M, et al. Selective Proteomic Analysis of Antibiotic-Tolerant Cellular Subpopulations in Pseudomonas aeruginosa Biofilms. ''MBio''. 2017 Oct 24; '''8''' (5):
Widespread Post-transcriptional Attenuation of Genomic Copy-Number Variation in Cancer. Description: Goncalves, Emanuel, et al. Widespread Post-transcriptional Attenuation of Genomic Copy-Number Variation in Cancer. ''Cell Syst''. 2017 Oct 25; '''5''' (4):386-398.e4
Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis. Description: Sarker, Abeed, et al. Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis. ''J Med Internet Res''. 2017 Oct 30; '''19''' (10):e361
Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach. Description: Chen, Jinying, et al. Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach. ''JMIR Med Inform''. 2017 Oct 31; '''5''' (4):e42
A Computationally-Efficient Probabilistic Approach to Model-Based Damage Diagnosis. Description: Warner, James E, et al. A Computationally-Efficient Probabilistic Approach to Model-Based Damage Diagnosis. ''Int J Progn Health Manag''. 2017 Nov; '''8''' (2):026
Improving virtual screening of G protein-coupled receptors via ligand-directed modeling. Description: Coudrat, Thomas, et al. Improving virtual screening of G protein-coupled receptors via ligand-directed modeling. ''PLoS Comput Biol''. 2017 Nov; '''13''' (11):e1005819
Mapping genomic and transcriptomic alterations spatially in epithelial cells adjacent to human breast carcinoma. Description: Abdalla, Moustafa, et al. Mapping genomic and transcriptomic alterations spatially in epithelial cells adjacent to human breast carcinoma. ''Nat Commun''. 2017 Nov 1; '''8''' (1):1245
Real-time motion analytics during brain MRI improve data quality and reduce costs. Description: Dosenbach, Nico U F, et al. Real-time motion analytics during brain MRI improve data quality and reduce costs. ''Neuroimage''. 2017 Nov 1; '''161''': 80-93
Total Lipopolysaccharide from the Human Gut Microbiome Silences Toll-Like Receptor Signaling. Description: d'Hennezel, Eva, et al. Total Lipopolysaccharide from the Human Gut Microbiome Silences Toll-Like Receptor Signaling. ''mSystems''. 2017 Nov-Dec; '''2''' (6):
Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences. Description: Wang, Jun, et al. Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences. ''Int J Mol Sci''. 2017 Nov 8; '''18''' (11):
Quantification of flexoelectricity in PbTiO3/SrTiO3 superlattice polar vortices using machine learning and phase-field modeling. Description: Li, Q, et al. Quantification of flexoelectricity in PbTiO3/SrTiO3 superlattice polar vortices using machine learning and phase-field modeling. ''Nat Commun''. 2017 Nov 13; '''8''' (1):1468
A primacy code for odor identity. Description: Wilson, Christopher D, et al. A primacy code for odor identity. ''Nat Commun''. 2017 Nov 14; '''8''' (1):1477
Millisecond dynamics of BTK reveal kinome-wide conformational plasticity within the apo kinase domain. Description: Sultan, Mohammad M, et al. Millisecond dynamics of BTK reveal kinome-wide conformational plasticity within the apo kinase domain. ''Sci Rep''. 2017 Nov 15; '''7''' (1):15604
A deep auto-encoder model for gene expression prediction. Description: Xie, Rui, et al. A deep auto-encoder model for gene expression prediction. ''BMC Genomics''. 2017 Nov 17; '''18''' (Suppl 9):845
Developing a Machine Learning System for Identification of Severe Hand, Foot, and Mouth Disease from Electronic Medical Record Data. Description: Liu, Guangjian, et al. Developing a Machine Learning System for Identification of Severe Hand, Foot, and Mouth Disease from Electronic Medical Record Data. ''Sci Rep''. 2017 Nov 27; '''7''' (1):16341
PON-SC - program for identifying steric clashes caused by amino acid substitutions. Description: Calyseva, Jelena, et al. PON-SC - program for identifying steric clashes caused by amino acid substitutions. ''BMC Bioinformatics''. 2017 Nov 29; '''18''' (1):531
Ancestral Circuits for the Coordinated Modulation of Brain State. Description: Lovett-Barron, Matthew, et al. Ancestral Circuits for the Coordinated Modulation of Brain State. ''Cell''. 2017 Nov 30; '''171''' (6):1411-1423.e17
Salt-responsive gut commensal modulates TH17 axis and disease. Description: Wilck, Nicola, et al. Salt-responsive gut commensal modulates TH17 axis and disease. ''Nature''. 2017 Nov 30; '''551''' (7682):585-589
A boosting approach for prediction of protein-RNA binding residues. Description: Tang, Yongjun, et al. A boosting approach for prediction of protein-RNA binding residues. ''BMC Bioinformatics''. 2017 Dec 1; '''18''' (Suppl 13):465
A stepwise model of reaction-diffusion and positional information governs self-organized human peri-gastrulation-like patterning. Description: Tewary, Mukul, et al. A stepwise model of reaction-diffusion and positional information governs self-organized human peri-gastrulation-like patterning. ''Development''. 2017 Dec 1; '''144''' (23):4298-4312
CNVcaller: highly efficient and widely applicable software for detecting copy number variations in large populations. Description: Wang, Xihong, et al. CNVcaller: highly efficient and widely applicable software for detecting copy number variations in large populations. ''Gigascience''. 2017 Dec 1; '''6''' (12):1-12
Cut-and-Paste Transposons in Fungi with Diverse Lifestyles. Description: Muszewska, Anna, et al. Cut-and-Paste Transposons in Fungi with Diverse Lifestyles. ''Genome Biol Evol''. 2017 Dec 1; '''9''' (12):3463-3477
HOMINID: a framework for identifying associations between host genetic variation and microbiome composition. Description: Lynch, Joshua, et al. HOMINID: a framework for identifying associations between host genetic variation and microbiome composition. ''Gigascience''. 2017 Dec 1; '''6''' (12):1-7
Prediction of Protein Complexes in Trypanosoma brucei by Protein Correlation Profiling Mass Spectrometry and Machine Learning. Description: Crozier, Thomas W M, et al. Prediction of Protein Complexes in Trypanosoma brucei by Protein Correlation Profiling Mass Spectrometry and Machine Learning. ''Mol Cell Proteomics''. 2017 Dec; '''16''' (12):2254-2267
A Universal 3D Voxel Descriptor for Solid-State Material Informatics with Deep Convolutional Neural Networks. Description: Kajita, Seiji, et al. A Universal 3D Voxel Descriptor for Solid-State Material Informatics with Deep Convolutional Neural Networks. ''Sci Rep''. 2017 Dec 5; '''7''' (1):16991
Discrete and continuous mechanisms of temporal selection in rapid visual streams. Description: Marti, Sebastien, et al. Discrete and continuous mechanisms of temporal selection in rapid visual streams. ''Nat Commun''. 2017 Dec 5; '''8''' (1):1955
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses. Description: Duvallet, Claire, et al. Meta-analysis of gut microbiome studies identifies disease-specific and shared responses. ''Nat Commun''. 2017 Dec 5; '''8''' (1):1784
Single-subunit oligosaccharyltransferases of Trypanosoma brucei display different and predictable peptide acceptor specificities. Description: Jinnelov, Anders, et al. Single-subunit oligosaccharyltransferases of Trypanosoma brucei display different and predictable peptide acceptor specificities. ''J Biol Chem''. 2017 Dec 8; '''292''' (49):20328-20341
Supervised learning for infection risk inference using pathology data. Description: Hernandez, Bernard, et al. Supervised learning for infection risk inference using pathology data. ''BMC Med Inform Decis Mak''. 2017 Dec 8; '''17''' (1):168
Automated tracking to measure behavioural changes in pigs for health and welfare monitoring. Description: Matthews, Stephen G, et al. Automated tracking to measure behavioural changes in pigs for health and welfare monitoring. ''Sci Rep''. 2017 Dec 14; '''7''' (1):17582
Cancer Hallmarks Analytics Tool (CHAT): a text mining approach to organize and evaluate scientific literature on cancer. Description: Baker, Simon, et al. Cancer Hallmarks Analytics Tool (CHAT): a text mining approach to organize and evaluate scientific literature on cancer. ''Bioinformatics''. 2017 Dec 15; '''33''' (24):3973-3981
Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis. Description: Radhakrishnan, Adityanarayanan, et al. Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis. ''Sci Rep''. 2017 Dec 20; '''7''' (1):17946
An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection. Description: Putra, I Putu Edy Suardiyana, et al. An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection. ''Sensors (Basel)''. 2017 Dec 22; '''18''' (1):
Automating the Timed Up and Go Test Using a Depth Camera. Description: Dubois, Amandine, et al. Automating the Timed Up and Go Test Using a Depth Camera. ''Sensors (Basel)''. 2017 Dec 22; '''18''' (1):
Phenotype inference in an Escherichia coli strain panel. Description: Galardini, Marco, et al. Phenotype inference in an Escherichia coli strain panel. ''Elife''. 2017 Dec 27; '''6''':
Saturation mutagenesis reveals manifold determinants of exon definition. Description: Ke, Shengdong, et al. Saturation mutagenesis reveals manifold determinants of exon definition. ''Genome Res''. 2018 Jan; '''28''' (1):11-24
Survey of Image Processing Techniques for Brain Pathology Diagnosis: Challenges and Opportunities. Description: Cenek, Martin, et al. Survey of Image Processing Techniques for Brain Pathology Diagnosis: Challenges and Opportunities. ''Front Robot AI''. 2018; '''5''': 120
Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence. Description: Boenisch, Franziska, et al. Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence. ''Front Robot AI''. 2018; '''5''': 35
ABroAD: A Machine Learning Based Approach to Detect Broadband NIRS Artefacts. Description: Russell-Buckland, Joshua, et al. ABroAD: A Machine Learning Based Approach to Detect Broadband NIRS Artefacts. ''Adv Exp Med Biol''. 2018; '''1072''': 319-324
Accelerometer-based predictive models of fall risk in older women: a pilot study. Description: Hua, Andrew, et al. Accelerometer-based predictive models of fall risk in older women: a pilot study. ''NPJ Digit Med''. 2018; '''1''': 25
A Distinct Esophageal mRNA Pattern Identifies Eosinophilic Esophagitis Patients With Food Impactions. Description: Sallis, Benjamin F, et al. A Distinct Esophageal mRNA Pattern Identifies Eosinophilic Esophagitis Patients With Food Impactions. ''Front Immunol''. 2018; '''9''': 2059
Age of gray matters: Neuroprediction of recidivism. Description: Kiehl, Kent A, et al. Age of gray matters: Neuroprediction of recidivism. ''Neuroimage Clin''. 2018; '''19''': 813-823
A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data. Description: Costello, Zak, et al. A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data. ''NPJ Syst Biol Appl''. 2018; '''4''': 19
A method for real-time classification of insect vectors of mosaic and brown streak disease in cassava plants for future implementation within a low-cost, handheld, in-field multispectral imaging sensor. Description: Fennell, Joseph, et al. A method for real-time classification of insect vectors of mosaic and brown streak disease in cassava plants for future implementation within a low-cost, handheld, in-field multispectral imaging sensor. ''Plant Methods''. 2018; '''14''': 82
A multifactorial model of T cell expansion and durable clinical benefit in response to a PD-L1 inhibitor. Description: Leiserson, Mark D M, et al. A multifactorial model of T cell expansion and durable clinical benefit in response to a PD-L1 inhibitor. ''PLoS One''. 2018; '''13''' (12):e0208422
Analysis of length of hospital stay using electronic health records: A statistical and data mining approach. Description: Baek, Hyunyoung, et al. Analysis of length of hospital stay using electronic health records: A statistical and data mining approach. ''PLoS One''. 2018; '''13''' (4):e0195901
An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes. Description: Solis-Reyes, Stephen, et al. An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes. ''PLoS One''. 2018; '''13''' (11):e0206409
A note on the analysis of two-stage task results: How changes in task structure affect what model-free and model-based strategies predict about the effects of reward and transition on the stay probability. Description: Feher da Silva, Carolina, et al. A note on the analysis of two-stage task results: How changes in task structure affect what model-free and model-based strategies predict about the effects of reward and transition on the stay probability. ''PLoS One''. 2018; '''13''' (4):e0195328
A Pipeline for Classifying Deleterious Coding Mutations in Agricultural Plants. Description: Kovalev, Maxim S, et al. A Pipeline for Classifying Deleterious Coding Mutations in Agricultural Plants. ''Front Plant Sci''. 2018; '''9''': 1734
APPIAN: Automated Pipeline for PET Image Analysis. Description: Funck, Thomas, et al. APPIAN: Automated Pipeline for PET Image Analysis. ''Front Neuroinform''. 2018; '''12''': 64
A Reweighted Scheme to Improve the Representation of the Neural Autoregressive Distribution Estimator. Description: Wang, Zheng, et al. A Reweighted Scheme to Improve the Representation of the Neural Autoregressive Distribution Estimator. ''Comput Intell Neurosci''. 2018; '''2018''': 6401645
Artificial Intelligence Approach for Variant Reporting. Description: Zomnir, Michael G, et al. Artificial Intelligence Approach for Variant Reporting. ''JCO Clin Cancer Inform''. 2018; '''2''':
A streamlined workflow for single-cells genome-wide copy-number profiling by low-pass sequencing of LM-PCR whole-genome amplification products. Description: Ferrarini, Alberto, et al. A streamlined workflow for single-cells genome-wide copy-number profiling by low-pass sequencing of LM-PCR whole-genome amplification products. ''PLoS One''. 2018; '''13''' (3):e0193689
Automated classification of synaptic vesicles in electron tomograms of C. elegans using machine learning. Description: Kaltdorf, Kristin Verena, et al. Automated classification of synaptic vesicles in electron tomograms of C. elegans using machine learning. ''PLoS One''. 2018; '''13''' (10):e0205348
Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes. Description: Verhoeven, Thibault, et al. Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes. ''Neuroimage Clin''. 2018; '''17''': 10-15
Automatically measuring brain ventricular volume within PACS using artificial intelligence. Description: Yepes-Calderon, Fernando, et al. Automatically measuring brain ventricular volume within PACS using artificial intelligence. ''PLoS One''. 2018; '''13''' (3):e0193152
Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network study. Description: Blanc-Durand, Paul, et al. Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network study. ''PLoS One''. 2018; '''13''' (4):e0195798
Bayesian analysis of isothermal titration calorimetry for binding thermodynamics. Description: Nguyen, Trung Hai, et al. Bayesian analysis of isothermal titration calorimetry for binding thermodynamics. ''PLoS One''. 2018; '''13''' (9):e0203224
Binding free energy predictions of farnesoid X receptor (FXR) agonists using a linear interaction energy (LIE) approach with reliability estimation: application to the D3R Grand Challenge 2. Description: Rifai, Eko Aditya, et al. Binding free energy predictions of farnesoid X receptor (FXR) agonists using a linear interaction energy (LIE) approach with reliability estimation: application to the D3R Grand Challenge 2. ''J Comput Aided Mol Des''. 2018 Jan; '''32''' (1):239-249
BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics. Description: Chen, Qingyu, et al. BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics. ''Database (Oxford)''. 2018 Jan 1; '''2018''':
CellExpress: a comprehensive microarray-based cancer cell line and clinical sample gene expression analysis online system. Description: Lee, Yi-Fang, et al. CellExpress: a comprehensive microarray-based cancer cell line and clinical sample gene expression analysis online system. ''Database (Oxford)''. 2018 Jan 1; '''2018''':
Characterization of shifts of koala (Phascolarctos cinereus) intestinal microbial communities associated with antibiotic treatment. Description: Dahlhausen, Katherine E, et al. Characterization of shifts of koala (Phascolarctos cinereus) intestinal microbial communities associated with antibiotic treatment. ''PeerJ''. 2018; '''6''': e4452
Chromatin Landscape Distinguishes the Genomic Loci of Hundreds of Androgen-Receptor-Associated LincRNAs From the Loci of Non-associated LincRNAs. Description: daSilva, Lucas F, et al. Chromatin Landscape Distinguishes the Genomic Loci of Hundreds of Androgen-Receptor-Associated LincRNAs From the Loci of Non-associated LincRNAs. ''Front Genet''. 2018; '''9''': 132
Cognitive and Functional Assessment of Psychosis Stratification Study (CoFAPSS): Rationale, Design, and Characteristics. Description: Clark, Scott R, et al. Cognitive and Functional Assessment of Psychosis Stratification Study (CoFAPSS): Rationale, Design, and Characteristics. ''Front Psychiatry''. 2018; '''9''': 662
Comparative genotypic and phenotypic analysis of human peripheral blood monocytes and surrogate monocyte-like cell lines commonly used in metabolic disease research. Description: Riddy, Darren M, et al. Comparative genotypic and phenotypic analysis of human peripheral blood monocytes and surrogate monocyte-like cell lines commonly used in metabolic disease research. ''PLoS One''. 2018; '''13''' (5):e0197177
Comprehensive Study of Telecytology Using Robotic Digital Microscope and Single Z-Stack Digital Scan for Fine-Needle Aspiration-Rapid On-Site Evaluation. Description: Yao, Keluo, et al. Comprehensive Study of Telecytology Using Robotic Digital Microscope and Single Z-Stack Digital Scan for Fine-Needle Aspiration-Rapid On-Site Evaluation. ''J Pathol Inform''. 2018; '''9''': 49
Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study. Description: Patel, Bhavika K, et al. Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study. ''Eur J Radiol''. 2018 Jan; '''98''': 207-213
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization. Description: Nishio, Mizuho, et al. Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization. ''PLoS One''. 2018; '''13''' (4):e0195875
Computer Vision Evidence Supporting Craniometric Alignment of Rat Brain Atlases to Streamline Expert-Guided, First-Order Migration of Hypothalamic Spatial Datasets Related to Behavioral Control. Description: Khan, Arshad M, et al. Computer Vision Evidence Supporting Craniometric Alignment of Rat Brain Atlases to Streamline Expert-Guided, First-Order Migration of Hypothalamic Spatial Datasets Related to Behavioral Control. ''Front Syst Neurosci''. 2018; '''12''': 7
Congruency of Separable Affix Verb Combinations Is Linearly Indexed by the N400. Description: Hanna, Jeff, et al. Congruency of Separable Affix Verb Combinations Is Linearly Indexed by the N400. ''Front Hum Neurosci''. 2018; '''12''': 219
Customer mobility signatures and financial indicators as predictors in product recommendation. Description: Urkup, Cagan, et al. Customer mobility signatures and financial indicators as predictors in product recommendation. ''PLoS One''. 2018; '''13''' (7):e0201197
Data-Driven Discovery of Immune Contexture Biomarkers. Description: Schwen, Lars Ole, et al. Data-Driven Discovery of Immune Contexture Biomarkers. ''Front Oncol''. 2018; '''8''': 627
Decision Criteria for Large Vessel Occlusion Using Transcranial Doppler Waveform Morphology. Description: Thorpe, Samuel G, et al. Decision Criteria for Large Vessel Occlusion Using Transcranial Doppler Waveform Morphology. ''Front Neurol''. 2018; '''9''': 847
Deep Learning data integration for better risk stratification models of bladder cancer. Description: Poirion, Olivier B, et al. Deep Learning data integration for better risk stratification models of bladder cancer. ''AMIA Jt Summits Transl Sci Proc''. 2018; '''2017''': 197-206
Deep neural network based histological scoring of lung fibrosis and inflammation in the mouse model system. Description: Heinemann, Fabian, et al. Deep neural network based histological scoring of lung fibrosis and inflammation in the mouse model system. ''PLoS One''. 2018; '''13''' (8):e0202708
Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy. Description: Nagasato, Daisuke, et al. Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy. ''J Ophthalmol''. 2018; '''2018''': 1875431
Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia. Description: Gabrys, Hubert S, et al. Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia. ''Front Oncol''. 2018; '''8''': 35
Development of a prediction model for pancreatic cancer in patients with type 2 diabetes using logistic regression and artificial neural network models. Description: Hsieh, Meng Hsuen, et al. Development of a prediction model for pancreatic cancer in patients with type 2 diabetes using logistic regression and artificial neural network models. ''Cancer Manag Res''. 2018; '''10''': 6317-6324
e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods. Description: Zheng, Suqing, et al. e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods. ''Front Chem''. 2018; '''6''': 82
EEG Microstate Sequences From Different Clustering Algorithms Are Information-Theoretically Invariant. Description: von Wegner, Frederic, et al. EEG Microstate Sequences From Different Clustering Algorithms Are Information-Theoretically Invariant. ''Front Comput Neurosci''. 2018; '''12''': 70
Effective injury forecasting in soccer with GPS training data and machine learning. Description: Rossi, Alessio, et al. Effective injury forecasting in soccer with GPS training data and machine learning. ''PLoS One''. 2018; '''13''' (7):e0201264
Efficient multi-task chemogenomics for drug specificity prediction. Description: Playe, Benoit, et al. Efficient multi-task chemogenomics for drug specificity prediction. ''PLoS One''. 2018; '''13''' (10):e0204999
Embedding of Genes Using Cancer Gene Expression Data: Biological Relevance and Potential Application on Biomarker Discovery. Description: Choy, Chi Tung, et al. Embedding of Genes Using Cancer Gene Expression Data: Biological Relevance and Potential Application on Biomarker Discovery. ''Front Genet''. 2018; '''9''': 682
Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose. Description: Ma, Zhiyuan, et al. Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose. ''PLoS One''. 2018; '''13''' (10):e0205872
Episodic memory and delayed recall are significantly more impaired in younger patients with deficit schizophrenia than in elderly patients with amnestic mild cognitive impairment. Description: Kanchanatawan, Buranee, et al. Episodic memory and delayed recall are significantly more impaired in younger patients with deficit schizophrenia than in elderly patients with amnestic mild cognitive impairment. ''PLoS One''. 2018; '''13''' (5):e0197004
Episodix: a serious game to detect cognitive impairment in senior adults. A psychometric study. Description: Valladares-Rodriguez, Sonia, et al. Episodix: a serious game to detect cognitive impairment in senior adults. A psychometric study. ''PeerJ''. 2018; '''6''': e5478
Exploration of PET and MRI radiomic features for decoding breast cancer phenotypes and prognosis. Description: Huang, Shih-Ying, et al. Exploration of PET and MRI radiomic features for decoding breast cancer phenotypes and prognosis. ''NPJ Breast Cancer''. 2018; '''4''': 24
Extending in Silico Protein Target Prediction Models to Include Functional Effects. Description: Mervin, Lewis H, et al. Extending in Silico Protein Target Prediction Models to Include Functional Effects. ''Front Pharmacol''. 2018; '''9''': 613
Extracting chemical-protein relations with ensembles of SVM and deep learning models. Description: Peng, Yifan, et al. Extracting chemical-protein relations with ensembles of SVM and deep learning models. ''Database (Oxford)''. 2018 Jan 1; '''2018''':
Feature selection for the accurate prediction of septic and cardiogenic shock ICU mortality in the acute phase. Description: Aushev, Alexander, et al. Feature selection for the accurate prediction of septic and cardiogenic shock ICU mortality in the acute phase. ''PLoS One''. 2018; '''13''' (11):e0199089
Genotypic differences between strains of the opportunistic pathogen Corynebacterium bovis isolated from humans, cows, and rodents. Description: Cheleuitte-Nieves, Christopher, et al. Genotypic differences between strains of the opportunistic pathogen Corynebacterium bovis isolated from humans, cows, and rodents. ''PLoS One''. 2018; '''13''' (12):e0209231
Good Things for Those Who Wait: Predictive Modeling Highlights Importance of Delay Discounting for Income Attainment. Description: Hampton, William H, et al. Good Things for Those Who Wait: Predictive Modeling Highlights Importance of Delay Discounting for Income Attainment. ''Front Psychol''. 2018; '''9''': 1545
Heterogeneity in pulmonary emphysema: Analysis of CT attenuation using Gaussian mixture model. Description: Nishio, Mizuho, et al. Heterogeneity in pulmonary emphysema: Analysis of CT attenuation using Gaussian mixture model. ''PLoS One''. 2018; '''13''' (2):e0192892
High-Throughput Analysis of Arabidopsis Stem Vibrations to Identify Mutants With Altered Mechanical Properties. Description: Nakata, Miyuki T, et al. High-Throughput Analysis of Arabidopsis Stem Vibrations to Identify Mutants With Altered Mechanical Properties. ''Front Plant Sci''. 2018; '''9''': 780
Identification of Antioxidant Proteins With Deep Learning From Sequence Information. Description: Shao, Lifen, et al. Identification of Antioxidant Proteins With Deep Learning From Sequence Information. ''Front Pharmacol''. 2018; '''9''': 1036
Identification of Mild Cognitive Impairment From Speech in Swedish Using Deep Sequential Neural Networks. Description: Themistocleous, Charalambos, et al. Identification of Mild Cognitive Impairment From Speech in Swedish Using Deep Sequential Neural Networks. ''Front Neurol''. 2018; '''9''': 975
Identification of Potential Prognostic Genes for Neuroblastoma. Description: Zhong, Xiaodan, et al. Identification of Potential Prognostic Genes for Neuroblastoma. ''Front Genet''. 2018; '''9''': 589
Incorporating Protein Dynamics Through Ensemble Docking in Machine Learning Models to Predict Drug Binding. Description: Alghamedy, Fatemah, et al. Incorporating Protein Dynamics Through Ensemble Docking in Machine Learning Models to Predict Drug Binding. ''AMIA Jt Summits Transl Sci Proc''. 2018; '''2017''': 26-34
Information spreading by a combination of MEG source estimation and multivariate pattern classification. Description: Sato, Masashi, et al. Information spreading by a combination of MEG source estimation and multivariate pattern classification. ''PLoS One''. 2018; '''13''' (6):e0198806
In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts. Description: Yang, Hongbin, et al. In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts. ''Front Chem''. 2018; '''6''': 30
In silico vs. Over the Clouds: On-the-Fly Mental State Estimation of Aircraft Pilots, Using a Functional Near Infrared Spectroscopy Based Passive-BCI. Description: Gateau, Thibault, et al. In silico vs. Over the Clouds: On-the-Fly Mental State Estimation of Aircraft Pilots, Using a Functional Near Infrared Spectroscopy Based Passive-BCI. ''Front Hum Neurosci''. 2018; '''12''': 187
Interactions between species introduce spurious associations in microbiome studies. Description: Menon, Rajita, et al. Interactions between species introduce spurious associations in microbiome studies. ''PLoS Comput Biol''. 2018 Jan; '''14''' (1):e1005939
Large-scale wearable data reveal digital phenotypes for daily-life stress detection. Description: Smets, Elena, et al. Large-scale wearable data reveal digital phenotypes for daily-life stress detection. ''NPJ Digit Med''. 2018; '''1''': 67
Learning from data to predict future symptoms of oncology patients. Description: Papachristou, Nikolaos, et al. Learning from data to predict future symptoms of oncology patients. ''PLoS One''. 2018; '''13''' (12):e0208808
Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data. Description: Jaworska, Natalia, et al. Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data. ''Front Psychiatry''. 2018; '''9''': 768
LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer. Description: Babalyan, K, et al. LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer. ''PLoS One''. 2018; '''13''' (11):e0204371
Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson's Disease. Description: Pena-Nogales, Oscar, et al. Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson's Disease. ''Front Neurosci''. 2018; '''12''': 967
Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals. Description: Jeong, Eugene, et al. Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals. ''PLoS One''. 2018; '''13''' (11):e0207749
Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification. Description: Mamoshina, Polina, et al. Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification. ''Front Genet''. 2018; '''9''': 242
Maintaining reading experience continuity across e-book revisions. Description: Yang, Christopher, et al. Maintaining reading experience continuity across e-book revisions. ''Res Pract Technol Enhanc Learn''. 2018; '''13''' (1):24
Metagenomics Biomarkers Selected for Prediction of Three Different Diseases in Chinese Population. Description: Wu, Honglong, et al. Metagenomics Biomarkers Selected for Prediction of Three Different Diseases in Chinese Population. ''Biomed Res Int''. 2018; '''2018''': 2936257
Modern Machine Learning as a Benchmark for Fitting Neural Responses. Description: Benjamin, Ari S, et al. Modern Machine Learning as a Benchmark for Fitting Neural Responses. ''Front Comput Neurosci''. 2018; '''12''': 56
Most yeast SH3 domains bind peptide targets with high intrinsic specificity. Description: Brown, Tom, et al. Most yeast SH3 domains bind peptide targets with high intrinsic specificity. ''PLoS One''. 2018; '''13''' (2):e0193128
Multivariate Classification of Major Depressive Disorder Using the Effective Connectivity and Functional Connectivity. Description: Geng, Xiangfei, et al. Multivariate Classification of Major Depressive Disorder Using the Effective Connectivity and Functional Connectivity. ''Front Neurosci''. 2018; '''12''': 38
Music Familiarity Affects EEG Entrainment When Little Attention Is Paid. Description: Kumagai, Yuiko, et al. Music Familiarity Affects EEG Entrainment When Little Attention Is Paid. ''Front Hum Neurosci''. 2018; '''12''': 444
Network-based features enable prediction of essential genes across diverse organisms. Description: Azhagesan, Karthik, et al. Network-based features enable prediction of essential genes across diverse organisms. ''PLoS One''. 2018; '''13''' (12):e0208722
Novel Prehospital Prediction Model of Large Vessel Occlusion Using Artificial Neural Network. Description: Chen, Zhicai, et al. Novel Prehospital Prediction Model of Large Vessel Occlusion Using Artificial Neural Network. ''Front Aging Neurosci''. 2018; '''10''': 181
On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties. Description: Gutierrez, Salvador, et al. On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties. ''Front Plant Sci''. 2018; '''9''': 1102
Orthologue chemical space and its influence on target prediction. Description: Mervin, Lewis H, et al. Orthologue chemical space and its influence on target prediction. ''Bioinformatics''. 2018 Jan 1; '''34''' (1):72-79
Persistent neuronal activity in human prefrontal cortex links perception and action. Description: Haller, Matar, et al. Persistent neuronal activity in human prefrontal cortex links perception and action. ''Nat Hum Behav''. 2018 Jan; '''2''' (1):80-91
Predicting acute kidney injury at hospital re-entry using high-dimensional electronic health record data. Description: Weisenthal, Samuel J, et al. Predicting acute kidney injury at hospital re-entry using high-dimensional electronic health record data. ''PLoS One''. 2018; '''13''' (11):e0204920
Predicting functional networks from region connectivity profiles in task-based versus resting-state fMRI data. Description: Rasero, Javier, et al. Predicting functional networks from region connectivity profiles in task-based versus resting-state fMRI data. ''PLoS One''. 2018; '''13''' (11):e0207385
Predicting Low Information Laboratory Diagnostic Tests. Description: Roy, Shivaal K, et al. Predicting Low Information Laboratory Diagnostic Tests. ''AMIA Jt Summits Transl Sci Proc''. 2018; '''2017''': 217-226
Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms. Description: van Os, Hendrikus J A, et al. Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms. ''Front Neurol''. 2018; '''9''': 784
Prediction Is a Balancing Act: Importance of Sampling Methods to Balance Sensitivity and Specificity of Predictive Models Based on Imbalanced Chemical Data Sets. Description: Banerjee, Priyanka, et al. Prediction Is a Balancing Act: Importance of Sampling Methods to Balance Sensitivity and Specificity of Predictive Models Based on Imbalanced Chemical Data Sets. ''Front Chem''. 2018; '''6''': 362
Prediction of cognitive and motor development in preterm children using exhaustive feature selection and cross-validation of near-term white matter microstructure. Description: Schadl, Kornel, et al. Prediction of cognitive and motor development in preterm children using exhaustive feature selection and cross-validation of near-term white matter microstructure. ''Neuroimage Clin''. 2018; '''17''': 667-679
*Predictive modeling of treatment resistant depression using data from STARD and an independent clinical study.** Description: Nie, Zhi, et al. Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study. ''PLoS One''. 2018; '''13''' (6):e0197268
PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine. Description: Manavalan, Balachandran, et al. PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine. ''Front Microbiol''. 2018; '''9''': 476
Randomised controlled trial of simvastatin treatment for autism in young children with neurofibromatosis type 1 (SANTA). Description: Stivaros, Stavros, et al. Randomised controlled trial of simvastatin treatment for autism in young children with neurofibromatosis type 1 (SANTA). ''Mol Autism''. 2018; '''9''': 12
Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening. Description: Cang, Zixuan, et al. Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening. ''PLoS Comput Biol''. 2018 Jan; '''14''' (1):e1005929
Scalable and accurate deep learning with electronic health records. Description: Rajkomar, Alvin, et al. Scalable and accurate deep learning with electronic health records. ''NPJ Digit Med''. 2018; '''1''': 18
Social Robotics in Therapy of Apraxia of Speech. Description: Castillo, Jose Carlos, et al. Social Robotics in Therapy of Apraxia of Speech. ''J Healthc Eng''. 2018; '''2018''': 7075290
Strategic Positioning of Connexin36 Gap Junctions Across Human Retinal Ganglion Cell Dendritic Arbors. Description: Kantor, Orsolya, et al. Strategic Positioning of Connexin36 Gap Junctions Across Human Retinal Ganglion Cell Dendritic Arbors. ''Front Cell Neurosci''. 2018; '''12''': 409
Supplemented Alkaline Phosphatase Supports the Immune Response in Patients Undergoing Cardiac Surgery: Clinical and Computational Evidence. Description: Presbitero, Alva, et al. Supplemented Alkaline Phosphatase Supports the Immune Response in Patients Undergoing Cardiac Surgery: Clinical and Computational Evidence. ''Front Immunol''. 2018; '''9''': 2342
Teaching Computational Reproducibility for Neuroimaging. Description: Millman, K Jarrod, et al. Teaching Computational Reproducibility for Neuroimaging. ''Front Neurosci''. 2018; '''12''': 727
The CCB-ID approach to tree species mapping with airborne imaging spectroscopy. Description: Anderson, Christopher B. The CCB-ID approach to tree species mapping with airborne imaging spectroscopy. ''PeerJ''. 2018; '''6''': e5666
The Clinical Picture of Psychosis in Manifest Huntington's Disease: A Comprehensive Analysis of the Enroll-HD Database. Description: Rocha, Natalia P, et al. The Clinical Picture of Psychosis in Manifest Huntington's Disease: A Comprehensive Analysis of the Enroll-HD Database. ''Front Neurol''. 2018; '''9''': 930
The Experience Elicited by Hallucinogens Presents the Highest Similarity to Dreaming within a Large Database of Psychoactive Substance Reports. Description: Sanz, Camila, et al. The Experience Elicited by Hallucinogens Presents the Highest Similarity to Dreaming within a Large Database of Psychoactive Substance Reports. ''Front Neurosci''. 2018; '''12''': 7
The Immune and Non-Immune Pathways That Drive Chronic Gastrointestinal Helminth Burdens in the Wild. Description: Babayan, Simon A, et al. The Immune and Non-Immune Pathways That Drive Chronic Gastrointestinal Helminth Burdens in the Wild. ''Front Immunol''. 2018; '''9''': 56
The interaction of transcription factors controls the spatial layout of plant aerial stem cell niches. Description: Gruel, Jeremy, et al. The interaction of transcription factors controls the spatial layout of plant aerial stem cell niches. ''NPJ Syst Biol Appl''. 2018; '''4''': 36
The mRNA cap methyltransferase gene TbCMT1 is not essential in vitro but is a virulence factor in vivo for bloodstream form Trypanosoma brucei. Description: Kelner, Anna, et al. The mRNA cap methyltransferase gene TbCMT1 is not essential in vitro but is a virulence factor in vivo for bloodstream form Trypanosoma brucei. ''PLoS One''. 2018; '''13''' (7):e0201263
The Relationship Between Microbial Community Structures and Environmental Parameters Revealed by Metagenomic Analysis of Hot Spring Water in the Kirishima Area, Japan. Description: Nishiyama, Eri, et al. The Relationship Between Microbial Community Structures and Environmental Parameters Revealed by Metagenomic Analysis of Hot Spring Water in the Kirishima Area, Japan. ''Front Bioeng Biotechnol''. 2018; '''6''': 202
The Staphylococcus aureus Two-Component System AgrAC Displays Four Distinct Genomic Arrangements That Delineate Genomic Virulence Factor Signatures. Description: Choudhary, Kumari S, et al. The Staphylococcus aureus Two-Component System AgrAC Displays Four Distinct Genomic Arrangements That Delineate Genomic Virulence Factor Signatures. ''Front Microbiol''. 2018; '''9''': 1082
The Varieties of the Psychedelic Experience: A Preliminary Study of the Association Between the Reported Subjective Effects and the Binding Affinity Profiles of Substituted Phenethylamines and Tryptamines. Description: Zamberlan, Federico, et al. The Varieties of the Psychedelic Experience: A Preliminary Study of the Association Between the Reported Subjective Effects and the Binding Affinity Profiles of Substituted Phenethylamines and Tryptamines. ''Front Integr Neurosci''. 2018; '''12''': 54
Thought experiment: Decoding cognitive processes from the fMRI data of one individual. Description: Wegrzyn, Martin, et al. Thought experiment: Decoding cognitive processes from the fMRI data of one individual. ''PLoS One''. 2018; '''13''' (9):e0204338
Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification. Description: Kazeminejad, Amirali, et al. Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification. ''Front Neurosci''. 2018; '''12''': 1018
Urinary metabolic profiling of asymptomatic acute intermittent porphyria using a rule-mining-based algorithm. Description: Luck, Margaux, et al. Urinary metabolic profiling of asymptomatic acute intermittent porphyria using a rule-mining-based algorithm. ''Metabolomics''. 2018; '''14''' (1):10
Using Machine Learning Algorithms to Predict Risk for Development of Calciphylaxis in Patients with Chronic Kidney Disease. Description: Kleiman, Ross S, et al. Using Machine Learning Algorithms to Predict Risk for Development of Calciphylaxis in Patients with Chronic Kidney Disease. ''AMIA Jt Summits Transl Sci Proc''. 2018; '''2017''': 139-146
Using Machine Learning to Predict Synergistic Antimalarial Compound Combinations With Novel Structures. Description: Mason, Daniel J, et al. Using Machine Learning to Predict Synergistic Antimalarial Compound Combinations With Novel Structures. ''Front Pharmacol''. 2018; '''9''': 1096
Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditions. Description: Ahamed, Nizam Uddin, et al. Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditions. ''PLoS One''. 2018; '''13''' (9):e0203839
Visualization of JOV abstracts. Description: Koyamada, Koji, et al. Visualization of JOV abstracts. ''J Vis (Tokyo)''. 2018; '''21''' (2):309-319
Voxel-based 18F-FET PET segmentation and automatic clustering of tumor voxels: A significant association with IDH1 mutation status and survival in patients with gliomas. Description: Blanc-Durand, Paul, et al. Voxel-based 18F-FET PET segmentation and automatic clustering of tumor voxels: A significant association with IDH1 mutation status and survival in patients with gliomas. ''PLoS One''. 2018; '''13''' (6):e0199379
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest. Description: Manavalan, Balachandran, et al. DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest. ''Oncotarget''. 2018 Jan 5; '''9''' (2):1944-1956
Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. Description: Lu, Fred Sun, et al. Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. ''JMIR Public Health Surveill''. 2018 Jan 9; '''4''' (1):e4
An application of machine learning to haematological diagnosis. Description: Guncar, Gregor, et al. An application of machine learning to haematological diagnosis. ''Sci Rep''. 2018 Jan 11; '''8''' (1):411
Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae. Description: Nguyen, Marcus, et al. Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae. ''Sci Rep''. 2018 Jan 11; '''8''' (1):421
Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach. Description: Vandaele, Remy, et al. Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach. ''Sci Rep''. 2018 Jan 11; '''8''' (1):538
Sub-kb Hi-C in D. melanogaster reveals conserved characteristics of TADs between insect and mammalian cells. Description: Wang, Qi, et al. Sub-kb Hi-C in D. melanogaster reveals conserved characteristics of TADs between insect and mammalian cells. ''Nat Commun''. 2018 Jan 15; '''9''' (1):188
Deep learning of mutation-gene-drug relations from the literature. Description: Lee, Kyubum, et al. Deep learning of mutation-gene-drug relations from the literature. ''BMC Bioinformatics''. 2018 Jan 25; '''19''' (1):21
Prediction of enzymatic pathways by integrative pathway mapping. Description: Calhoun, Sara, et al. Prediction of enzymatic pathways by integrative pathway mapping. ''Elife''. 2018 Jan 29; '''7''':
Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of COX7A1 in embryonic and cancer cells. Description: West, Michael D, et al. Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of COX7A1 in embryonic and cancer cells. ''Oncotarget''. 2018 Jan 30; '''9''' (8):7796-7811
Integrating linear optimization with structural modeling to increase HIV neutralization breadth. Description: Sevy, Alexander M, et al. Integrating linear optimization with structural modeling to increase HIV neutralization breadth. ''PLoS Comput Biol''. 2018 Feb; '''14''' (2):e1005999
The Epstein-Barr Virus Episome Maneuvers between Nuclear Chromatin Compartments during Reactivation. Description: Moquin, Stephanie A, et al. The Epstein-Barr Virus Episome Maneuvers between Nuclear Chromatin Compartments during Reactivation. ''J Virol''. 2018 Feb 1; '''92''' (3):
SCANPY: large-scale single-cell gene expression data analysis. Description: Wolf, F Alexander, et al. SCANPY: large-scale single-cell gene expression data analysis. ''Genome Biol''. 2018 Feb 6; '''19''' (1):15
Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits. Description: Katumba, Andrew, et al. Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits. ''Sci Rep''. 2018 Feb 8; '''8''' (1):2653
Microbiome Data Accurately Predicts the Postmortem Interval Using Random Forest Regression Models. Description: Belk, Aeriel, et al. Microbiome Data Accurately Predicts the Postmortem Interval Using Random Forest Regression Models. ''Genes (Basel)''. 2018 Feb 16; '''9''' (2):
UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands. Description: Sandino, Juan, et al. UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands. ''Sensors (Basel)''. 2018 Feb 16; '''18''' (2):
Personalized Physical Activity Coaching: A Machine Learning Approach. Description: Dijkhuis, Talko B, et al. Personalized Physical Activity Coaching: A Machine Learning Approach. ''Sensors (Basel)''. 2018 Feb 19; '''18''' (2):
Maximizing gain in high-throughput screening using conformal prediction. Description: Svensson, Fredrik, et al. Maximizing gain in high-throughput screening using conformal prediction. ''J Cheminform''. 2018 Feb 21; '''10''' (1):7
FISSA: A neuropil decontamination toolbox for calcium imaging signals. Description: Keemink, Sander W, et al. FISSA: A neuropil decontamination toolbox for calcium imaging signals. ''Sci Rep''. 2018 Feb 22; '''8''' (1):3493
Body temperature measurement in mice during acute illness: implantable temperature transponder versus surface infrared thermometry. Description: Mei, Jie, et al. Body temperature measurement in mice during acute illness: implantable temperature transponder versus surface infrared thermometry. ''Sci Rep''. 2018 Feb 23; '''8''' (1):3526
Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis. Description: Beaulieu-Jones, Brett K, et al. Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis. ''JMIR Med Inform''. 2018 Feb 23; '''6''' (1):e11
Creating a 3D microbial and chemical snapshot of a human habitat. Description: Kapono, Clifford A, et al. Creating a 3D microbial and chemical snapshot of a human habitat. ''Sci Rep''. 2018 Feb 27; '''8''' (1):3669
Chronic helminth infection burden differentially affects haematopoietic cell development while ageing selectively impairs adaptive responses to infection. Description: Babayan, Simon A, et al. Chronic helminth infection burden differentially affects haematopoietic cell development while ageing selectively impairs adaptive responses to infection. ''Sci Rep''. 2018 Feb 28; '''8''' (1):3802
Chromatin accessibility prediction via a hybrid deep convolutional neural network. Description: Liu, Qiao, et al. Chromatin accessibility prediction via a hybrid deep convolutional neural network. ''Bioinformatics''. 2018 Mar 1; '''34''' (5):732-738
Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting. Description: Ehrentraut, Claudia, et al. Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting. ''Health Informatics J''. 2018 Mar; '''24''' (1):24-42
Detection of high-grade neoplasia in air-dried cervical PAP smears by a microRNA-based classifier. Description: Ivanov, Mikhail K, et al. Detection of high-grade neoplasia in air-dried cervical PAP smears by a microRNA-based classifier. ''Oncol Rep''. 2018 Mar; '''39''' (3):1099-1111
Generating Modeling Data From Repeat-Dose Toxicity Reports. Description: Lopez-Massaguer, Oriol, et al. Generating Modeling Data From Repeat-Dose Toxicity Reports. ''Toxicol Sci''. 2018 Mar 1; '''162''' (1):287-300
Morphology-driven downscaling of Streptomyces lividans to micro-cultivation. Description: van Dissel, Dino, et al. Morphology-driven downscaling of Streptomyces lividans to micro-cultivation. ''Antonie Van Leeuwenhoek''. 2018 Mar; '''111''' (3):457-469
PATTERNA: transcriptome-wide search for functional RNA elements via structural data signatures. Description: Ledda, Mirko, et al. PATTERNA: transcriptome-wide search for functional RNA elements via structural data signatures. ''Genome Biol''. 2018 Mar 1; '''19''' (1):28
Population-specific design of de-immunized protein biotherapeutics. Description: Schubert, Benjamin, et al. Population-specific design of de-immunized protein biotherapeutics. ''PLoS Comput Biol''. 2018 Mar; '''14''' (3):e1005983
Disease Variants of FGFR3 Reveal Molecular Basis for the Recognition and Additional Roles for Cdc37 in Hsp90 Chaperone System. Description: Bunney, Tom D, et al. Disease Variants of FGFR3 Reveal Molecular Basis for the Recognition and Additional Roles for Cdc37 in Hsp90 Chaperone System. ''Structure''. 2018 Mar 6; '''26''' (3):446-458.e8
OligoMiner provides a rapid, flexible environment for the design of genome-scale oligonucleotide in situ hybridization probes. Description: Beliveau, Brian J, et al. OligoMiner provides a rapid, flexible environment for the design of genome-scale oligonucleotide in situ hybridization probes. ''Proc Natl Acad Sci U S A''. 2018 Mar 6; '''115''' (10):E2183-E2192
Prediction and characterization of human ageing-related proteins by using machine learning. Description: Kerepesi, Csaba, et al. Prediction and characterization of human ageing-related proteins by using machine learning. ''Sci Rep''. 2018 Mar 6; '''8''' (1):4094
Ensemble of rankers for efficient gene signature extraction in smoke exposure classification. Description: Giordano, Maurizio, et al. Ensemble of rankers for efficient gene signature extraction in smoke exposure classification. ''BMC Bioinformatics''. 2018 Mar 8; '''19''' (Suppl 2):48
Estrogen receptor alpha drives pro-resilient transcription in mouse models of depression. Description: Lorsch, Zachary S, et al. Estrogen receptor alpha drives pro-resilient transcription in mouse models of depression. ''Nat Commun''. 2018 Mar 16; '''9''' (1):1116
BTNET : boosted tree based gene regulatory network inference algorithm using time-course measurement data. Description: Park, Sungjoon, et al. BTNET : boosted tree based gene regulatory network inference algorithm using time-course measurement data. ''BMC Syst Biol''. 2018 Mar 19; '''12''' (Suppl 2):20
Detangling PPI networks to uncover functionally meaningful clusters. Description: Hall-Swan, Sarah, et al. Detangling PPI networks to uncover functionally meaningful clusters. ''BMC Syst Biol''. 2018 Mar 21; '''12''' (Suppl 3):24
Volitional Modulation of Primary Visual Cortex Activity Requires the Basal Ganglia. Description: Neely, Ryan M, et al. Volitional Modulation of Primary Visual Cortex Activity Requires the Basal Ganglia. ''Neuron''. 2018 Mar 21; '''97''' (6):1356-1368.e4
Integrative structure and functional anatomy of a nuclear pore complex. Description: Kim, Seung Joong, et al. Integrative structure and functional anatomy of a nuclear pore complex. ''Nature''. 2018 Mar 22; '''555''' (7697):475-482
Extracting biological age from biomedical data via deep learning: too much of a good thing? Description: Pyrkov, Timothy V, et al. Extracting biological age from biomedical data via deep learning: too much of a good thing? ''Sci Rep''. 2018 Mar 26; '''8''' (1):5210
Adaptive cortical parcellations for source reconstructed EEG/MEG connectomes. Description: Farahibozorg, Seyedeh-Rezvan, et al. Adaptive cortical parcellations for source reconstructed EEG/MEG connectomes. ''Neuroimage''. 2018 Apr 1; '''169''': 23-45
An algorithm for the classification of mRNA patterns in eosinophilic esophagitis: Integration of machine learning. Description: Sallis, Benjamin F, et al. An algorithm for the classification of mRNA patterns in eosinophilic esophagitis: Integration of machine learning. ''J Allergy Clin Immunol''. 2018 Apr; '''141''' (4):1354-1364.e9
DDR: efficient computational method to predict drug-target interactions using graph mining and machine learning approaches. Description: Olayan, Rawan S, et al. DDR: efficient computational method to predict drug-target interactions using graph mining and machine learning approaches. ''Bioinformatics''. 2018 Apr 1; '''34''' (7):1164-1173
Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening. Description: Cho, Heeryon, et al. Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening. ''Sensors (Basel)''. 2018 Apr 1; '''18''' (4):
Fast, Accurate, and Stable Feature Selection Using Neural Networks. Description: Deraeve, James, et al. Fast, Accurate, and Stable Feature Selection Using Neural Networks. ''Neuroinformatics''. 2018 Apr; '''16''' (2):253-268
Identification of novel alleles associated with insulin resistance in childhood obesity using pooled-DNA genome-wide association study approach. Description: Kotnik, P, et al. Identification of novel alleles associated with insulin resistance in childhood obesity using pooled-DNA genome-wide association study approach. ''Int J Obes (Lond)''. 2018 Apr; '''42''' (4):686-695
Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia. Description: Schrider, Daniel R, et al. Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia. ''PLoS Genet''. 2018 Apr; '''14''' (4):e1007341
Thermodynamic limit for synthesis of metastable inorganic materials. Description: Aykol, Muratahan, et al. Thermodynamic limit for synthesis of metastable inorganic materials. ''Sci Adv''. 2018 Apr; '''4''' (4):eaaq0148
Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas. Description: Way, Gregory P, et al. Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas. ''Cell Rep''. 2018 Apr 3; '''23''' (1):172-180.e3
Peptide Retention in Hydrophilic Strong Anion Exchange Chromatography Is Driven by Charged and Aromatic Residues. Description: Giese, Sven H, et al. Peptide Retention in Hydrophilic Strong Anion Exchange Chromatography Is Driven by Charged and Aromatic Residues. ''Anal Chem''. 2018 Apr 3; '''90''' (7):4635-4640
Terminal Uridylyltransferases Execute Programmed Clearance of Maternal Transcriptome in Vertebrate Embryos. Description: Chang, Hyeshik, et al. Terminal Uridylyltransferases Execute Programmed Clearance of Maternal Transcriptome in Vertebrate Embryos. ''Mol Cell''. 2018 Apr 5; '''70''' (1):72-82.e7
On the utilization of novel spectral laser scanning for three-dimensional classification of vegetation elements. Description: Li, Zhan, et al. On the utilization of novel spectral laser scanning for three-dimensional classification of vegetation elements. ''Interface Focus''. 2018 Apr 6; '''8''' (2):20170039
PlasFlow: predicting plasmid sequences in metagenomic data using genome signatures. Description: Krawczyk, Pawel S, et al. PlasFlow: predicting plasmid sequences in metagenomic data using genome signatures. ''Nucleic Acids Res''. 2018 Apr 6; '''46''' (6):e35
Finding the molecular scaffold of nuclear receptor inhibitors through high-throughput screening based on proteochemometric modelling. Description: Qiu, Tianyi, et al. Finding the molecular scaffold of nuclear receptor inhibitors through high-throughput screening based on proteochemometric modelling. ''J Cheminform''. 2018 Apr 12; '''10''' (1):21
Population-level distribution and putative immunogenicity of cancer neoepitopes. Description: Wood, Mary A, et al. Population-level distribution and putative immunogenicity of cancer neoepitopes. ''BMC Cancer''. 2018 Apr 13; '''18''' (1):414
An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks. Description: Salehi, Mehraveh, et al. An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks. ''Neuroimage''. 2018 Apr 15; '''170''': 54-67
Prediction of Reach Goals in Depth and Direction from the Parietal Cortex. Description: Filippini, Matteo, et al. Prediction of Reach Goals in Depth and Direction from the Parietal Cortex. ''Cell Rep''. 2018 Apr 17; '''23''' (3):725-732
Identification of residue pairing in interacting beta-strands from a predicted residue contact map. Description: Mao, Wenzhi, et al. Identification of residue pairing in interacting beta-strands from a predicted residue contact map. ''BMC Bioinformatics''. 2018 Apr 19; '''19''' (1):146
Similarity of the dog and human gut microbiomes in gene content and response to diet. Description: Coelho, Luis Pedro, et al. Similarity of the dog and human gut microbiomes in gene content and response to diet. ''Microbiome''. 2018 Apr 19; '''6''' (1):72
Combined cistrome and transcriptome analysis of SKI in AML cells identifies SKI as a co-repressor for RUNX1. Description: Feld, Christine, et al. Combined cistrome and transcriptome analysis of SKI in AML cells identifies SKI as a co-repressor for RUNX1. ''Nucleic Acids Res''. 2018 Apr 20; '''46''' (7):3412-3428
A High-Throughput Mutational Scan of an Intrinsically Disordered Acidic Transcriptional Activation Domain. Description: Staller, Max V, et al. A High-Throughput Mutational Scan of an Intrinsically Disordered Acidic Transcriptional Activation Domain. ''Cell Syst''. 2018 Apr 25; '''6''' (4):444-455.e6
Action and object words are differentially anchored in the sensory motor system - A perspective on cognitive embodiment. Description: Horoufchin, Houpand, et al. Action and object words are differentially anchored in the sensory motor system - A perspective on cognitive embodiment. ''Sci Rep''. 2018 Apr 26; '''8''' (1):6583
Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imaging. Description: Wang, Chuangqi, et al. Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imaging. ''Nat Commun''. 2018 Apr 27; '''9''' (1):1688
Diagnostic Accuracy of Protein Glycation Sites in Long-Term Controlled Patients with Type 2 Diabetes Mellitus and Their Prognostic Potential for Early Diagnosis. Description: Spiller, Sandro, et al. Diagnostic Accuracy of Protein Glycation Sites in Long-Term Controlled Patients with Type 2 Diabetes Mellitus and Their Prognostic Potential for Early Diagnosis. ''Pharmaceuticals (Basel)''. 2018 Apr 30; '''11''' (2):
Prediction of Compound Profiling Matrices Using Machine Learning. Description: Rodriguez-Perez, Raquel, et al. Prediction of Compound Profiling Matrices Using Machine Learning. ''ACS Omega''. 2018 Apr 30; '''3''' (4):4713-4723
Cardiac recovery via extended cell-free delivery of extracellular vesicles secreted by cardiomyocytes derived from induced pluripotent stem cells. Description: Liu, Bohao, et al. Cardiac recovery via extended cell-free delivery of extracellular vesicles secreted by cardiomyocytes derived from induced pluripotent stem cells. ''Nat Biomed Eng''. 2018 May; '''2''' (5):293-303
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. Description: Berens, Philipp, et al. Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. ''PLoS Comput Biol''. 2018 May; '''14''' (5):e1006157
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning. Description: Preuer, Kristina, et al. DeepSynergy: predicting anti-cancer drug synergy with Deep Learning. ''Bioinformatics''. 2018 May 1; '''34''' (9):1538-1546
EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach. Description: Bosl, William J, et al. EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach. ''Sci Rep''. 2018 May 1; '''8''' (1):6828
Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets. Description: Rouillard, Andrew D, et al. Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets. ''PLoS Comput Biol''. 2018 May; '''14''' (5):e1006142
Prediction of plant lncRNA by ensemble machine learning classifiers. Description: Simopoulos, Caitlin M A, et al. Prediction of plant lncRNA by ensemble machine learning classifiers. ''BMC Genomics''. 2018 May 2; '''19''' (1):316
Profiling microbial strains in urban environments using metagenomic sequencing data. Description: Zolfo, Moreno, et al. Profiling microbial strains in urban environments using metagenomic sequencing data. ''Biol Direct''. 2018 May 9; '''13''' (1):9
Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery. Description: Chew, Robert F, et al. Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery. ''Int J Health Geogr''. 2018 May 9; '''17''' (1):12
Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR Ligands. Description: Rataj, Krzysztof, et al. Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR Ligands. ''Molecules''. 2018 May 10; '''23''' (5):
Real-time observation of flexible domain movements in CRISPR-Cas9. Description: Osuka, Saki, et al. Real-time observation of flexible domain movements in CRISPR-Cas9. ''EMBO J''. 2018 May 15; '''37''' (10):
Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin. Description: Bokulich, Nicholas A, et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin. ''Microbiome''. 2018 May 17; '''6''' (1):90
Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery. Description: Simm, Jaak, et al. Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery. ''Cell Chem Biol''. 2018 May 17; '''25''' (5):611-618.e3
Sensory representation of an auditory cued tactile stimulus in the posterior parietal cortex of the mouse. Description: Mohan, Hemanth, et al. Sensory representation of an auditory cued tactile stimulus in the posterior parietal cortex of the mouse. ''Sci Rep''. 2018 May 17; '''8''' (1):7739
Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches. Description: Crichton, Gamal, et al. Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches. ''BMC Bioinformatics''. 2018 May 21; '''19''' (1):176
Effect of missing data on multitask prediction methods. Description: de la Vega de Leon, Antonio, et al. Effect of missing data on multitask prediction methods. ''J Cheminform''. 2018 May 22; '''10''' (1):26
Substructural Connectivity Fingerprint and Extreme Entropy Machines-A New Method of Compound Representation and Analysis. Description: Rataj, Krzysztof, et al. Substructural Connectivity Fingerprint and Extreme Entropy Machines-A New Method of Compound Representation and Analysis. ''Molecules''. 2018 May 23; '''23''' (6):
Fecal Distribution Changes Using Colorectal Ultrasonography in Older People with Physical and Cognitive Impairment Living in Long-Term Care Facilities: A Longitudinal Observational Study. Description: Tanaka, Shiho, et al. Fecal Distribution Changes Using Colorectal Ultrasonography in Older People with Physical and Cognitive Impairment Living in Long-Term Care Facilities: A Longitudinal Observational Study. ''Healthcare (Basel)''. 2018 May 25; '''6''' (2):
Combining amplicon sequencing and metabolomics in cirrhotic patients highlights distinctive microbiota features involved in bacterial translocation, systemic inflammation and hepatic encephalopathy. Description: Iebba, Valerio, et al. Combining amplicon sequencing and metabolomics in cirrhotic patients highlights distinctive microbiota features involved in bacterial translocation, systemic inflammation and hepatic encephalopathy. ''Sci Rep''. 2018 May 29; '''8''' (1):8210
Supervoxels-Based Histon as a New Alzheimer's Disease Imaging Biomarker. Description: Toro, Cesar A Ortiz, et al. Supervoxels-Based Histon as a New Alzheimer's Disease Imaging Biomarker. ''Sensors (Basel)''. 2018 May 29; '''18''' (6):
A synaptic threshold mechanism for computing escape decisions. Description: Evans, Dominic A, et al. A synaptic threshold mechanism for computing escape decisions. ''Nature''. 2018 Jun; '''558''' (7711):590-594
Brain properties predict proximity to symptom onset in sporadic Alzheimer's disease. Description: Vogel, Jacob W, et al. Brain properties predict proximity to symptom onset in sporadic Alzheimer's disease. ''Brain''. 2018 Jun 1; '''141''' (6):1871-1883
Exploring the Viral Channel KcvPBCV-1 Function via Computation. Description: Andersson, Alma E V, et al. Exploring the Viral Channel KcvPBCV-1 Function via Computation. ''J Membr Biol''. 2018 Jun; '''251''' (3):419-430
Genome-wide mutant profiling predicts the mechanism of a Lipid II binding antibiotic. Description: Santiago, Marina, et al. Genome-wide mutant profiling predicts the mechanism of a Lipid II binding antibiotic. ''Nat Chem Biol''. 2018 Jun; '''14''' (6):601-608
Identification of human circadian genes based on time course gene expression profiles by using a deep learning method. Description: Cui, Peng, et al. Identification of human circadian genes based on time course gene expression profiles by using a deep learning method. ''Biochim Biophys Acta Mol Basis Dis''. 2018 Jun; '''1864''' (6 Pt B):2274-2283
Proteomic Analysis of the Cell Cycle of Procylic Form Trypanosoma brucei. Description: Crozier, Thomas W M, et al. Proteomic Analysis of the Cell Cycle of Procylic Form Trypanosoma brucei. ''Mol Cell Proteomics''. 2018 Jun; '''17''' (6):1184-1195
The Role of the Size and Location of the Tumors and of the Vertebral Anatomy in Determining the Structural Stability of the Metastatically Involved Spine: a Finite Element Study. Description: Galbusera, Fabio, et al. The Role of the Size and Location of the Tumors and of the Vertebral Anatomy in Determining the Structural Stability of the Metastatically Involved Spine: a Finite Element Study. ''Transl Oncol''. 2018 Jun; '''11''' (3):639-646
Candida albicans-Induced Epithelial Damage Mediates Translocation through Intestinal Barriers. Description: Allert, Stefanie, et al. Candida albicans-Induced Epithelial Damage Mediates Translocation through Intestinal Barriers. ''MBio''. 2018 Jun 5; '''9''' (3):
Clinical trial design and dissemination: comprehensive analysis of clinicaltrials.gov and PubMed data since 2005. Description: Zwierzyna, Magdalena, et al. Clinical trial design and dissemination: comprehensive analysis of clinicaltrials.gov and PubMed data since 2005. ''BMJ''. 2018 Jun 6; '''361''': k2130
Overcoming safety challenges in CO therapy - Extracorporeal CO delivery under precise feedback control of systemic carboxyhemoglobin levels. Description: Wollborn, Jakob, et al. Overcoming safety challenges in CO therapy - Extracorporeal CO delivery under precise feedback control of systemic carboxyhemoglobin levels. ''J Control Release''. 2018 Jun 10; '''279''': 336-344
Escherichia coli B2 strains prevalent in inflammatory bowel disease patients have distinct metabolic capabilities that enable colonization of intestinal mucosa. Description: Fang, Xin, et al. Escherichia coli B2 strains prevalent in inflammatory bowel disease patients have distinct metabolic capabilities that enable colonization of intestinal mucosa. ''BMC Syst Biol''. 2018 Jun 11; '''12''' (1):66
Connectomics of the zebrafish's lateral-line neuromast reveals wiring and miswiring in a simple microcircuit. Description: Dow, Eliot, et al. Connectomics of the zebrafish's lateral-line neuromast reveals wiring and miswiring in a simple microcircuit. ''Elife''. 2018 Jun 12; '''7''':
Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum. Description: Kornfield, Rachel, et al. Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum. ''J Med Internet Res''. 2018 Jun 12; '''20''' (6):e10136
Gene expression profiling of periodontitis-affected gingival tissue by spatial transcriptomics. Description: Lundmark, Anna, et al. Gene expression profiling of periodontitis-affected gingival tissue by spatial transcriptomics. ''Sci Rep''. 2018 Jun 19; '''8''' (1):9370
Detecting Suicidal Ideation on Forums: Proof-of-Concept Study. Description: Aladag, Ahmet Emre, et al. Detecting Suicidal Ideation on Forums: Proof-of-Concept Study. ''J Med Internet Res''. 2018 Jun 21; '''20''' (6):e215
A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data. Description: Golas, Sara Bersche, et al. A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data. ''BMC Med Inform Decis Mak''. 2018 Jun 22; '''18''' (1):44
Chronic 2P-STED imaging reveals high turnover of dendritic spines in the hippocampus in vivo. Description: Pfeiffer, Thomas, et al. Chronic 2P-STED imaging reveals high turnover of dendritic spines in the hippocampus in vivo. ''Elife''. 2018 Jun 22; '''7''':
Estimating urban above ground biomass with multi-scale LiDAR. Description: Wilkes, Phil, et al. Estimating urban above ground biomass with multi-scale LiDAR. ''Carbon Balance Manag''. 2018 Jun 26; '''13''' (1):10
Pooled CRISPR interference screening enables genome-scale functional genomics study in bacteria with superior performance. Description: Wang, Tianmin, et al. Pooled CRISPR interference screening enables genome-scale functional genomics study in bacteria with superior performance. ''Nat Commun''. 2018 Jun 26; '''9''' (1):2475
A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains. Description: Her, Hsuan-Lin, et al. A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains. ''Bioinformatics''. 2018 Jul 1; '''34''' (13):i89-i95
High-resolution transcriptional dissection of in vivo Atoh1-mediated hair cell conversion in mature cochleae identifies Isl1 as a co-reprogramming factor. Description: Yamashita, Tetsuji, et al. High-resolution transcriptional dissection of in vivo Atoh1-mediated hair cell conversion in mature cochleae identifies Isl1 as a co-reprogramming factor. ''PLoS Genet''. 2018 Jul; '''14''' (7):e1007552
Identification and characterization of Coronaviridae genomes from Vietnamese bats and rats based on conserved protein domains. Description: Phan, My V T, et al. Identification and characterization of Coronaviridae genomes from Vietnamese bats and rats based on conserved protein domains. ''Virus Evol''. 2018 Jul; '''4''' (2):vey035
Image quality improvement in cone-beam CT using the super-resolution technique. Description: Oyama, Asuka, et al. Image quality improvement in cone-beam CT using the super-resolution technique. ''J Radiat Res''. 2018 Jul 1; '''59''' (4):501-510
SIMBAD: a sequence-independent molecular-replacement pipeline. Description: Simpkin, Adam J, et al. SIMBAD: a sequence-independent molecular-replacement pipeline. ''Acta Crystallogr D Struct Biol''. 2018 Jul 1; '''74''' (Pt 7):595-605
ProTox-II: a webserver for the prediction of toxicity of chemicals. Description: Banerjee, Priyanka, et al. ProTox-II: a webserver for the prediction of toxicity of chemicals. ''Nucleic Acids Res''. 2018 Jul 2; '''46''' (W1):W257-W263
Environmental properties of cells improve machine learning-based phenotype recognition accuracy. Description: Toth, Timea, et al. Environmental properties of cells improve machine learning-based phenotype recognition accuracy. ''Sci Rep''. 2018 Jul 4; '''8''' (1):10085
Genome-Wide Determination of Gene Essentiality by Transposon Insertion Sequencing in Yeast Pichia pastoris. Description: Zhu, Jinxiang, et al. Genome-Wide Determination of Gene Essentiality by Transposon Insertion Sequencing in Yeast Pichia pastoris. ''Sci Rep''. 2018 Jul 5; '''8''' (1):10223
Resting-state functional brain connectivity best predicts the personality dimension of openness to experience. Description: Dubois, Julien, et al. Resting-state functional brain connectivity best predicts the personality dimension of openness to experience. ''Personal Neurosci''. 2018 Jul 5; '''1''':
Mother-to-Infant Microbial Transmission from Different Body Sites Shapes the Developing Infant Gut Microbiome. Description: Ferretti, Pamela, et al. Mother-to-Infant Microbial Transmission from Different Body Sites Shapes the Developing Infant Gut Microbiome. ''Cell Host Microbe''. 2018 Jul 11; '''24''' (1):133-145.e5
Rifampin- or Capreomycin-Induced Remodeling of the Mycobacterium smegmatis Mycolic Acid Layer Is Mitigated in Synergistic Combinations with Cationic Antimicrobial Peptides. Description: Man, DeDe Kwun-Wai, et al. Rifampin- or Capreomycin-Induced Remodeling of the Mycobacterium smegmatis Mycolic Acid Layer Is Mitigated in Synergistic Combinations with Cationic Antimicrobial Peptides. ''mSphere''. 2018 Jul 18; '''3''' (4):
Metabolic Phenotyping and Strain Characterisation of Pseudomonas aeruginosa Isolates from Cystic Fibrosis Patients Using Rapid Evaporative Ionisation Mass Spectrometry. Description: Bardin, Emmanuelle E, et al. Metabolic Phenotyping and Strain Characterisation of Pseudomonas aeruginosa Isolates from Cystic Fibrosis Patients Using Rapid Evaporative Ionisation Mass Spectrometry. ''Sci Rep''. 2018 Jul 19; '''8''' (1):10952
Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence tolerance. Description: Mavor, David, et al. Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence tolerance. ''Biol Open''. 2018 Jul 23; '''7''' (7):
miRge 2.0 for comprehensive analysis of microRNA sequencing data. Description: Lu, Yin, et al. miRge 2.0 for comprehensive analysis of microRNA sequencing data. ''BMC Bioinformatics''. 2018 Jul 23; '''19''' (1):275
Metabolomic analysis of mouse prefrontal cortex reveals upregulated analytes during wakefulness compared to sleep. Description: Bourdon, Allen K, et al. Metabolomic analysis of mouse prefrontal cortex reveals upregulated analytes during wakefulness compared to sleep. ''Sci Rep''. 2018 Jul 25; '''8''' (1):11225
Minimally-destructive atmospheric ionisation mass spectrometry authenticates authorship of historical manuscripts. Description: Newton, James, et al. Minimally-destructive atmospheric ionisation mass spectrometry authenticates authorship of historical manuscripts. ''Sci Rep''. 2018 Jul 26; '''8''' (1):10944
Intrusion Detection and Prevention in CoAP Wireless Sensor Networks Using Anomaly Detection. Description: Granjal, Jorge, et al. Intrusion Detection and Prevention in CoAP Wireless Sensor Networks Using Anomaly Detection. ''Sensors (Basel)''. 2018 Jul 27; '''18''' (8):
Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors. Description: Ejupi, Andreas, et al. Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors. ''Sensors (Basel)''. 2018 Jul 31; '''18''' (8):
An automated approach to the quantitation of vocalizations and vocal learning in the songbird. Description: Mets, David G, et al. An automated approach to the quantitation of vocalizations and vocal learning in the songbird. ''PLoS Comput Biol''. 2018 Aug; '''14''' (8):e1006437
Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network. Description: Zhang, Wen, et al. Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network. ''Methods''. 2018 Aug 1; '''145''': 51-59
Mitochondrial genomes reveal an east to west cline of steppe ancestry in Corded Ware populations. Description: Juras, Anna, et al. Mitochondrial genomes reveal an east to west cline of steppe ancestry in Corded Ware populations. ''Sci Rep''. 2018 Aug 2; '''8''' (1):11603
Differential dynamics of cortical neuron dendritic trees revealed by long-term in vivo imaging in neonates. Description: Nakazawa, Shingo, et al. Differential dynamics of cortical neuron dendritic trees revealed by long-term in vivo imaging in neonates. ''Nat Commun''. 2018 Aug 6; '''9''' (1):3106
Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study. Description: Quiroz, Juan Carlos, et al. Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study. ''JMIR Ment Health''. 2018 Aug 8; '''5''' (3):e10153
Entrainment of Circadian Rhythms Depends on Firing Rates and Neuropeptide Release of VIP SCN Neurons. Description: Mazuski, Cristina, et al. Entrainment of Circadian Rhythms Depends on Firing Rates and Neuropeptide Release of VIP SCN Neurons. ''Neuron''. 2018 Aug 8; '''99''' (3):555-563.e5
A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain. Description: Davie, Kristofer, et al. A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain. ''Cell''. 2018 Aug 9; '''174''' (4):982-998.e20
Systematic identification of non-coding pharmacogenomic landscape in cancer. Description: Wang, Yue, et al. Systematic identification of non-coding pharmacogenomic landscape in cancer. ''Nat Commun''. 2018 Aug 9; '''9''' (1):3192
Cerebellar involvement in an evidence-accumulation decision-making task. Description: Deverett, Ben, et al. Cerebellar involvement in an evidence-accumulation decision-making task. ''Elife''. 2018 Aug 13; '''7''':
Functional gradients of the cerebellum. Description: Guell, Xavier, et al. Functional gradients of the cerebellum. ''Elife''. 2018 Aug 14; '''7''':
Deep learning improves antimicrobial peptide recognition. Description: Veltri, Daniel, et al. Deep learning improves antimicrobial peptide recognition. ''Bioinformatics''. 2018 Aug 15; '''34''' (16):2740-2747
Kernelized rank learning for personalized drug recommendation. Description: He, Xiao, et al. Kernelized rank learning for personalized drug recommendation. ''Bioinformatics''. 2018 Aug 15; '''34''' (16):2808-2816
Improved sgRNA design in bacteria via genome-wide activity profiling. Description: Guo, Jiahui, et al. Improved sgRNA design in bacteria via genome-wide activity profiling. ''Nucleic Acids Res''. 2018 Aug 21; '''46''' (14):7052-7069
Prediction of disulfide dihedral angles using chemical shifts. Description: Armstrong, David A, et al. Prediction of disulfide dihedral angles using chemical shifts. ''Chem Sci''. 2018 Aug 21; '''9''' (31):6548-6556
Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks. Description: Cho, Hyunghoon, et al. Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks. ''Cell Syst''. 2018 Aug 22; '''7''' (2):185-191.e4
IDP(-)CRF: Intrinsically Disordered Protein/Region Identification Based on Conditional Random Fields. Description: Liu, Yumeng, et al. IDP(-)CRF: Intrinsically Disordered Protein/Region Identification Based on Conditional Random Fields. ''Int J Mol Sci''. 2018 Aug 22; '''19''' (9):
An Artificial Neural Network Model for Predicting Successful Extubation in Intensive Care Units. Description: Hsieh, Meng-Hsuen, et al. An Artificial Neural Network Model for Predicting Successful Extubation in Intensive Care Units. ''J Clin Med''. 2018 Aug 25; '''7''' (9):
Predicting Aromatic Amine Mutagenicity with Confidence: A Case Study Using Conformal Prediction. Description: Norinder, Ulf, et al. Predicting Aromatic Amine Mutagenicity with Confidence: A Case Study Using Conformal Prediction. ''Biomolecules''. 2018 Aug 29; '''8''' (3):
Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity. Description: Keller, Sina, et al. Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity. ''Int J Environ Res Public Health''. 2018 Aug 30; '''15''' (9):
Integrating Gaze Tracking and Head-Motion Prediction for Mobile Device Authentication: A Proof of Concept. Description: Ma, Zhuo, et al. Integrating Gaze Tracking and Head-Motion Prediction for Mobile Device Authentication: A Proof of Concept. ''Sensors (Basel)''. 2018 Aug 31; '''18''' (9):
Glucocorticoid receptor recruits to enhancers and drives activation by motif-directed binding. Description: McDowell, Ian C, et al. Glucocorticoid receptor recruits to enhancers and drives activation by motif-directed binding. ''Genome Res''. 2018 Sep; '''28''' (9):1272-1284
Engineering the oleaginous yeast Yarrowia lipolytica to produce the aroma compound beta-ionone. Description: Czajka, Jeffrey J, et al. Engineering the oleaginous yeast Yarrowia lipolytica to produce the aroma compound beta-ionone. ''Microb Cell Fact''. 2018 Sep 1; '''17''' (1):136
Extracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivity. Description: Pallares, Vicente, et al. Extracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivity. ''Neuroimage''. 2018 Sep; '''178''': 238-254
Large-scale investigation of the reasons why potentially important genes are ignored. Description: Stoeger, Thomas, et al. Large-scale investigation of the reasons why potentially important genes are ignored. ''PLoS Biol''. 2018 Sep; '''16''' (9):e2006643
Off-target predictions in CRISPR-Cas9 gene editing using deep learning. Description: Lin, Jiecong, et al. Off-target predictions in CRISPR-Cas9 gene editing using deep learning. ''Bioinformatics''. 2018 Sep 1; '''34''' (17):i656-i663
The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features. Description: Cui, Zaixu, et al. The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features. ''Neuroimage''. 2018 Sep; '''178''': 622-637
Time-generalized multivariate analysis of EEG responses reveals a cascading architecture of semantic mismatch processing. Description: Heikel, Edvard, et al. Time-generalized multivariate analysis of EEG responses reveals a cascading architecture of semantic mismatch processing. ''Brain Lang''. 2018 Sep; '''184''': 43-53
Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls. Description: Behravan, Hamid, et al. Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls. ''Sci Rep''. 2018 Sep 3; '''8''' (1):13149
Classification of Overt and Covert Speech for Near-Infrared Spectroscopy-Based Brain Computer Interface. Description: Kamavuako, Ernest Nlandu, et al. Classification of Overt and Covert Speech for Near-Infrared Spectroscopy-Based Brain Computer Interface. ''Sensors (Basel)''. 2018 Sep 7; '''18''' (9):
Visualisation and analysis of hepatitis C virus non-structural proteins using super-resolution microscopy. Description: Bartlett, Christopher, et al. Visualisation and analysis of hepatitis C virus non-structural proteins using super-resolution microscopy. ''Sci Rep''. 2018 Sep 11; '''8''' (1):13604
3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification. Description: Kalinin, Alexandr A, et al. 3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification. ''Sci Rep''. 2018 Sep 12; '''8''' (1):13658
Characterization of the Microbial Population Inhabiting a Solar Saltern Pond of the Odiel Marshlands (SW Spain). Description: Gomez-Villegas, Patricia, et al. Characterization of the Microbial Population Inhabiting a Solar Saltern Pond of the Odiel Marshlands (SW Spain). ''Mar Drugs''. 2018 Sep 12; '''16''' (9):
Development of a Prediction Model for Colorectal Cancer among Patients with Type 2 Diabetes Mellitus Using a Deep Neural Network. Description: Hsieh, Meng-Hsuen, et al. Development of a Prediction Model for Colorectal Cancer among Patients with Type 2 Diabetes Mellitus Using a Deep Neural Network. ''J Clin Med''. 2018 Sep 12; '''7''' (9):
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data. Description: El-Manzalawy, Yasser, et al. Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data. ''BMC Med Genomics''. 2018 Sep 14; '''11''' (Suppl 3):71
Automatic selection of verification tools for efficient analysis of biochemical models. Description: Bakir, Mehmet Emin, et al. Automatic selection of verification tools for efficient analysis of biochemical models. ''Bioinformatics''. 2018 Sep 15; '''34''' (18):3187-3195
Exploring non-linear distance metrics in the structure-activity space: QSAR models for human estrogen receptor. Description: Balabin, Ilya A, et al. Exploring non-linear distance metrics in the structure-activity space: QSAR models for human estrogen receptor. ''J Cheminform''. 2018 Sep 18; '''10''' (1):47
Optimal selection of molecular descriptors for antimicrobial peptides classification: an evolutionary feature weighting approach. Description: Beltran, Jesus A, et al. Optimal selection of molecular descriptors for antimicrobial peptides classification: an evolutionary feature weighting approach. ''BMC Genomics''. 2018 Sep 24; '''19''' (Suppl 7):672
MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study. Description: Ten Kate, Mara, et al. MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study. ''Alzheimers Res Ther''. 2018 Sep 27; '''10''' (1):100
Predicting clinical outcomes in neuroblastoma with genomic data integration. Description: Baali, Ilyes, et al. Predicting clinical outcomes in neuroblastoma with genomic data integration. ''Biol Direct''. 2018 Sep 27; '''13''' (1):20
Efficient Computation of Free Energy Surfaces of Diels(-)Alder Reactions in Explicit Solvent at Ab Initio QM/MM Level. Description: Li, Pengfei, et al. Efficient Computation of Free Energy Surfaces of Diels(-)Alder Reactions in Explicit Solvent at Ab Initio QM/MM Level. ''Molecules''. 2018 Sep 28; '''23''' (10):
Terminal exon characterization with TECtool reveals an abundance of cell-specific isoforms. Description: Gruber, Andreas J, et al. Terminal exon characterization with TECtool reveals an abundance of cell-specific isoforms. ''Nat Methods''. 2018 Oct; '''15''' (10):832-836
Detection of Clavibacter michiganensis subsp. michiganensis Assisted by Micro-Raman Spectroscopy under Laboratory Conditions. Description: Perez, Moises Roberto Vallejo, et al. Detection of Clavibacter michiganensis subsp. michiganensis Assisted by Micro-Raman Spectroscopy under Laboratory Conditions. ''Plant Pathol J''. 2018 Oct; '''34''' (5):381-392
Functional classification of long non-coding RNAs by k-mer content. Description: Kirk, Jessime M, et al. Functional classification of long non-coding RNAs by k-mer content. ''Nat Genet''. 2018 Oct; '''50''' (10):1474-1482
Machine Learning Models for Genetic Risk Assessment of Infants with Non-syndromic Orofacial Cleft. Description: Zhang, Shi-Jian, et al. Machine Learning Models for Genetic Risk Assessment of Infants with Non-syndromic Orofacial Cleft. ''Genomics Proteomics Bioinformatics''. 2018 Oct; '''16''' (5):354-364
Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis. Description: Bismeijer, Tycho, et al. Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis. ''PLoS Comput Biol''. 2018 Oct; '''14''' (10):e1006520
Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods. Description: Obara, Taku, et al. Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods. ''Sci Rep''. 2018 Oct 4; '''8''' (1):14840
Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations. Description: Mamoshina, Polina, et al. Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations. ''J Gerontol A Biol Sci Med Sci''. 2018 Oct 8; '''73''' (11):1482-1490
Fully Automated Echocardiogram Interpretation in Clinical Practice. Description: Zhang, Jeffrey, et al. Fully Automated Echocardiogram Interpretation in Clinical Practice. ''Circulation''. 2018 Oct 16; '''138''' (16):1623-1635
Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance. Description: Kavvas, Erol S, et al. Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance. ''Nat Commun''. 2018 Oct 17; '''9''' (1):4306
CRISPRO: identification of functional protein coding sequences based on genome editing dense mutagenesis. Description: Schoonenberg, Vivien A C, et al. CRISPRO: identification of functional protein coding sequences based on genome editing dense mutagenesis. ''Genome Biol''. 2018 Oct 19; '''19''' (1):169
Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders. Description: Mohammadian Rad, Nastaran, et al. Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders. ''Sensors (Basel)''. 2018 Oct 19; '''18''' (10):
Genome-Wide Sequence Analysis of Kaposi Sarcoma-Associated Herpesvirus Shows Diversification Driven by Recombination. Description: Sallah, Neneh, et al. Genome-Wide Sequence Analysis of Kaposi Sarcoma-Associated Herpesvirus Shows Diversification Driven by Recombination. ''J Infect Dis''. 2018 Oct 20; '''218''' (11):1700-1710
Analysis of drug resistance in HIV protease. Description: Pawar, Shrikant D, et al. Analysis of drug resistance in HIV protease. ''BMC Bioinformatics''. 2018 Oct 22; '''19''' (Suppl 11):362
High-performance and scalable on-chip digital Fourier transform spectroscopy. Description: Kita, Derek M, et al. High-performance and scalable on-chip digital Fourier transform spectroscopy. ''Nat Commun''. 2018 Oct 23; '''9''' (1):4405
Ecologically informed microbial biomarkers and accurate classification of mixed and unmixed samples in an extensive cross-study of human body sites. Description: Tackmann, Janko, et al. Ecologically informed microbial biomarkers and accurate classification of mixed and unmixed samples in an extensive cross-study of human body sites. ''Microbiome''. 2018 Oct 24; '''6''' (1):192
On-Body Sensor Positions Hierarchical Classification. Description: Sang, Vu Ngoc Thanh, et al. On-Body Sensor Positions Hierarchical Classification. ''Sensors (Basel)''. 2018 Oct 24; '''18''' (11):
New Insights into the Evolutionary and Genomic Landscape of Molluscum Contagiosum Virus (MCV) based on Nine MCV1 and Six MCV2 Complete Genome Sequences. Description: Zorec, Tomaz M, et al. New Insights into the Evolutionary and Genomic Landscape of Molluscum Contagiosum Virus (MCV) based on Nine MCV1 and Six MCV2 Complete Genome Sequences. ''Viruses''. 2018 Oct 26; '''10''' (11):
Identification of spatially associated subpopulations by combining scRNAseq and sequential fluorescence in situ hybridization data. Description: Zhu, Qian, et al. Identification of spatially associated subpopulations by combining scRNAseq and sequential fluorescence in situ hybridization data. ''Nat Biotechnol''. 2018 Oct 29;
Gene Essentiality Analyzed by In Vivo Transposon Mutagenesis and Machine Learning in a Stable Haploid Isolate of Candida albicans. Description: Segal, Ella Shtifman, et al. Gene Essentiality Analyzed by In Vivo Transposon Mutagenesis and Machine Learning in a Stable Haploid Isolate of Candida albicans. ''MBio''. 2018 Oct 30; '''9''' (5):
Improving Chemical Autoencoder Latent Space and Molecular De Novo Generation Diversity with Heteroencoders. Description: Bjerrum, Esben Jannik, et al. Improving Chemical Autoencoder Latent Space and Molecular De Novo Generation Diversity with Heteroencoders. ''Biomolecules''. 2018 Oct 30; '''8''' (4):
Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study. Description: Taylor, Andrew G, et al. Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study. ''PLoS Med''. 2018 Nov; '''15''' (11):e1002697
Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study. Description: Nanayakkara, Shane, et al. Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study. ''PLoS Med''. 2018 Nov; '''15''' (11):e1002709
Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome. Description: Ko, Bor-Sheng, et al. Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome. ''EBioMedicine''. 2018 Nov; '''37''': 91-100
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet. Description: Bien, Nicholas, et al. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet. ''PLoS Med''. 2018 Nov; '''15''' (11):e1002699
Linguistic markers of moderate and absolute natural language. Description: Al-Mosaiwi, Mohammed, et al. Linguistic markers of moderate and absolute natural language. ''Pers Individ Dif''. 2018 Nov 1; '''134''': 119-124
Mobile detection of autism through machine learning on home video: A development and prospective validation study. Description: Tariq, Qandeel, et al. Mobile detection of autism through machine learning on home video: A development and prospective validation study. ''PLoS Med''. 2018 Nov; '''15''' (11):e1002705
MODE-TASK: large-scale protein motion tools. Description: Ross, Caroline, et al. MODE-TASK: large-scale protein motion tools. ''Bioinformatics''. 2018 Nov 1; '''34''' (21):3759-3763
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study. Description: Zech, John R, et al. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study. ''PLoS Med''. 2018 Nov; '''15''' (11):e1002683
Prevalence and Nature of Financial Considerations Documented in Narrative Clinical Records in Intensive Care Units. Description: Gordon, Deborah D, et al. Prevalence and Nature of Financial Considerations Documented in Narrative Clinical Records in Intensive Care Units. ''JAMA Netw Open''. 2018 Nov 2; '''1''' (7):e184178
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Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model. Description: Lee, Hyung-Chul, et al. Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model. ''J Clin Med''. 2018 Nov 8; '''7''' (11):
Systemic neurotransmitter responses to clinically approved and experimental neuropsychiatric drugs. Description: Noori, Hamid R, et al. Systemic neurotransmitter responses to clinically approved and experimental neuropsychiatric drugs. ''Nat Commun''. 2018 Nov 8; '''9''' (1):4699
Discovery of rare cells from voluminous single cell expression data. Description: Jindal, Aashi, et al. Discovery of rare cells from voluminous single cell expression data. ''Nat Commun''. 2018 Nov 9; '''9''' (1):4719
A decision support system to follow up and diagnose primary headache patients using semantically enriched data. Description: Vandewiele, Gilles, et al. A decision support system to follow up and diagnose primary headache patients using semantically enriched data. ''BMC Med Inform Decis Mak''. 2018 Nov 13; '''18''' (1):98
A whole lifespan mouse multi-tissue DNA methylation clock. Description: Meer, Margarita V, et al. A whole lifespan mouse multi-tissue DNA methylation clock. ''Elife''. 2018 Nov 14; '''7''':
Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor. Description: Wielgosz, Maciej, et al. Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor. ''Sensors (Basel)''. 2018 Nov 14; '''18''' (11):
Learning protein binding affinity using privileged information. Description: Abbasi, Wajid Arshad, et al. Learning protein binding affinity using privileged information. ''BMC Bioinformatics''. 2018 Nov 15; '''19''' (1):425
Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task. Description: Kharyuk, Pavel, et al. Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task. ''Sci Rep''. 2018 Nov 19; '''8''' (1):17053
Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units. Description: Hsieh, Meng Hsuen, et al. Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units. ''Sci Rep''. 2018 Nov 20; '''8''' (1):17116
Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data. Description: Valdes, Maria Gabriela, et al. Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data. ''BMC Syst Biol''. 2018 Nov 20; '''12''' (Suppl 5):97
Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage. Description: Poirion, Olivier, et al. Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage. ''Nat Commun''. 2018 Nov 20; '''9''' (1):4892
Parsing Hippocampal Theta Oscillations by Nested Spectral Components during Spatial Exploration and Memory-Guided Behavior. Description: Lopes-Dos-Santos, Vitor, et al. Parsing Hippocampal Theta Oscillations by Nested Spectral Components during Spatial Exploration and Memory-Guided Behavior. ''Neuron''. 2018 Nov 21; '''100''' (4):940-952.e7
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A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning. Description: Wang, Nana, et al. A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning. ''Sci Rep''. 2018 Nov 27; '''8''' (1):17430
Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning. Description: Teague, Samantha J, et al. Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning. ''JMIR Pediatr Parent''. 2018 Nov 27; '''1''' (2):e12371
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Distinguishing crystallographic from biological interfaces in protein complexes: role of intermolecular contacts and energetics for classification. Description: Elez, Katarina, et al. Distinguishing crystallographic from biological interfaces in protein complexes: role of intermolecular contacts and energetics for classification. ''BMC Bioinformatics''. 2018 Nov 30; '''19''' (Suppl 15):438
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Deep Learning-Based Survival Analysis Identified Associations Between Molecular Subtype and Optimal Adjuvant Treatment of Patients With Gastric Cancer. Description: Lee, Jeeyun, et al. Deep Learning-Based Survival Analysis Identified Associations Between Molecular Subtype and Optimal Adjuvant Treatment of Patients With Gastric Cancer. ''JCO Clin Cancer Inform''. 2018 Dec; '''2''': 1-14
Factors of hospitalization expenditure of the genitourinary system diseases in the aged based on "System of Health Account 2011" and neural network model. Description: He, Junlin, et al. Factors of hospitalization expenditure of the genitourinary system diseases in the aged based on "System of Health Account 2011" and neural network model. ''J Glob Health''. 2018 Dec; '''8''' (2):020504
Improving the Accuracy of Scores to Predict Gastrostomy after Intracerebral Hemorrhage with Machine Learning. Description: Garg, Ravi, et al. Improving the Accuracy of Scores to Predict Gastrostomy after Intracerebral Hemorrhage with Machine Learning. ''J Stroke Cerebrovasc Dis''. 2018 Dec; '''27''' (12):3570-3574
Machine learning approach for rapid and accurate estimation of optical properties using spatial frequency domain imaging. Description: Panigrahi, Swapnesh, et al. Machine learning approach for rapid and accurate estimation of optical properties using spatial frequency domain imaging. ''J Biomed Opt''. 2018 Dec; '''24''' (7):1-6
Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets. Description: Hay, Edouard A, et al. Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets. ''PLoS Comput Biol''. 2018 Dec; '''14''' (12):e1006628
Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data. Description: Moradigaravand, Danesh, et al. Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data. ''PLoS Comput Biol''. 2018 Dec; '''14''' (12):e1006258
Tumor classification with MALDI-MSI data of tissue microarrays: A case study. Description: Mascini, Nadine E, et al. Tumor classification with MALDI-MSI data of tissue microarrays: A case study. ''Methods''. 2018 Dec 1; '''151''': 21-27
Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling. Description: Nir, Guy, et al. Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling. ''PLoS Genet''. 2018 Dec; '''14''' (12):e1007872
Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes. Description: Pieszko, Konrad, et al. Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes. ''J Transl Med''. 2018 Dec 3; '''16''' (1):334
MSIpred: a python package for tumor microsatellite instability classification from tumor mutation annotation data using a support vector machine. Description: Wang, Chen, et al. MSIpred: a python package for tumor microsatellite instability classification from tumor mutation annotation data using a support vector machine. ''Sci Rep''. 2018 Dec 3; '''8''' (1):17546
Chemlistem: chemical named entity recognition using recurrent neural networks. Description: Corbett, Peter, et al. Chemlistem: chemical named entity recognition using recurrent neural networks. ''J Cheminform''. 2018 Dec 6; '''10''' (1):59
Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data. Description: Marafino, Ben J, et al. Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data. ''JAMA Netw Open''. 2018 Dec 7; '''1''' (8):e185097
Co-existence of multiple bacterivorous clevelandellid ciliate species in hindgut of wood-feeding cockroaches in light of their prokaryotic consortium. Description: Vdacny, Peter, et al. Co-existence of multiple bacterivorous clevelandellid ciliate species in hindgut of wood-feeding cockroaches in light of their prokaryotic consortium. ''Sci Rep''. 2018 Dec 10; '''8''' (1):17749
Flexibility of Boolean Network Reservoir Computers in Approximating Arbitrary Recursive and Non-Recursive Binary Filters. Description: Echlin, Moriah, et al. Flexibility of Boolean Network Reservoir Computers in Approximating Arbitrary Recursive and Non-Recursive Binary Filters. ''Entropy (Basel)''. 2018 Dec 11; '''20''' (12):
Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification. Description: Bhattacharya, Moumita, et al. Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification. ''BMC Med Inform Decis Mak''. 2018 Dec 12; '''18''' (Suppl 4):125
Improving palliative care with deep learning. Description: Avati, Anand, et al. Improving palliative care with deep learning. ''BMC Med Inform Decis Mak''. 2018 Dec 12; '''18''' (Suppl 4):122
Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research. Description: Li, Xiangrui, et al. Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research. ''BMC Med Inform Decis Mak''. 2018 Dec 12; '''18''' (Suppl 4):126
A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder. Description: Perez Arribas, Imanol, et al. A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder. ''Transl Psychiatry''. 2018 Dec 13; '''8''' (1):274
Classification of Rice Heavy Metal Stress Levels Based on Phenological Characteristics Using Remote Sensing Time-Series Images and Data Mining Algorithms. Description: Liu, Tianjiao, et al. Classification of Rice Heavy Metal Stress Levels Based on Phenological Characteristics Using Remote Sensing Time-Series Images and Data Mining Algorithms. ''Sensors (Basel)''. 2018 Dec 14; '''18''' (12):
Co-expression of long non-coding RNAs and autism risk genes in the developing human brain. Description: Cogill, Steven B, et al. Co-expression of long non-coding RNAs and autism risk genes in the developing human brain. ''BMC Syst Biol''. 2018 Dec 14; '''12''' (Suppl 7):91
MoVE identifies metabolic valves to switch between phenotypic states. Description: Venayak, Naveen, et al. MoVE identifies metabolic valves to switch between phenotypic states. ''Nat Commun''. 2018 Dec 14; '''9''' (1):5332
AD or Non-AD: A Deep Learning Approach to Detect Advertisements from Magazines. Description: Almgren, Khaled, et al. AD or Non-AD: A Deep Learning Approach to Detect Advertisements from Magazines. ''Entropy (Basel)''. 2018 Dec 17; '''20''' (12):
Learning to localise weakly-informative sound spectra with and without feedback. Description: Zonooz, Bahram, et al. Learning to localise weakly-informative sound spectra with and without feedback. ''Sci Rep''. 2018 Dec 18; '''8''' (1):17933
Salmonella Persist in Activated Macrophages in T Cell-Sparse Granulomas but Are Contained by Surrounding CXCR3 Ligand-Positioned Th1 Cells. Description: Goldberg, Michael F, et al. Salmonella Persist in Activated Macrophages in T Cell-Sparse Granulomas but Are Contained by Surrounding CXCR3 Ligand-Positioned Th1 Cells. ''Immunity''. 2018 Dec 18; '''49''' (6):1090-1102.e7
Predicting age from the transcriptome of human dermal fibroblasts. Description: Fleischer, Jason G, et al. Predicting age from the transcriptome of human dermal fibroblasts. ''Genome Biol''. 2018 Dec 20; '''19''' (1):221
Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. Description: Nitze, I, et al. Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. ''Nat Commun''. 2018 Dec 21; '''9''' (1):5423
Description and assessment of trustability of motives for self-exclusion reported by online poker gamblers in a cohort using account-based gambling data. Description: Luquiens, Amandine, et al. Description and assessment of trustability of motives for self-exclusion reported by online poker gamblers in a cohort using account-based gambling data. ''BMJ Open''. 2018 Dec 22; '''8''' (12):e022541
Fast and scalable neural embedding models for biomedical sentence classification. Description: Agibetov, Asan, et al. Fast and scalable neural embedding models for biomedical sentence classification. ''BMC Bioinformatics''. 2018 Dec 22; '''19''' (1):541
Using natural language processing and machine learning to identify breast cancer local recurrence. Description: Zeng, Zexian, et al. Using natural language processing and machine learning to identify breast cancer local recurrence. ''BMC Bioinformatics''. 2018 Dec 28; '''19''' (Suppl 17):498
CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features. Description: Zhang, Xuan, et al. CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features. ''BMC Med Genomics''. 2018 Dec 31; '''11''' (Suppl 6):120
DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning. Description: Zhang, Yiqian, et al. DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning. ''BMC Bioinformatics''. 2018 Dec 31; '''19''' (Suppl 19):524
Identifying sequence features that drive ribosomal association for lncRNA. Description: Zeng, Chao, et al. Identifying sequence features that drive ribosomal association for lncRNA. ''BMC Genomics''. 2018 Dec 31; '''19''' (Suppl 10):906
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Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments. Description: Hishinuma, Kazuhiro, et al. Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments. ''Front Robot AI''. 2019; '''6''': 77
Widespread roles of enhancer-like transposable elements in cell identity and long-range genomic interactions. Description: Cao, Yaqiang, et al. Widespread roles of enhancer-like transposable elements in cell identity and long-range genomic interactions. ''Genome Res''. 2019 Jan; '''29''' (1):40-52
Aberrant resting-state functional connectivity of the dorsolateral prefrontal cortex to the anterior insula and its association with fear avoidance belief in chronic neck pain patients. Description: Ihara, Naho, et al. Aberrant resting-state functional connectivity of the dorsolateral prefrontal cortex to the anterior insula and its association with fear avoidance belief in chronic neck pain patients. ''PLoS One''. 2019; '''14''' (8):e0221023
Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images. Description: Masumoto, Hiroki, et al. Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images. ''PeerJ''. 2019; '''7''': e6900
A comparison of machine learning algorithms for the surveillance of autism spectrum disorder. Description: Lee, Scott H, et al. A comparison of machine learning algorithms for the surveillance of autism spectrum disorder. ''PLoS One''. 2019; '''14''' (9):e0222907
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Aerial-trained deep learning networks for surveying cetaceans from satellite imagery. Description: Borowicz, Alex, et al. Aerial-trained deep learning networks for surveying cetaceans from satellite imagery. ''PLoS One''. 2019; '''14''' (10):e0212532
Aerodigestive sampling reveals altered microbial exchange between lung, oropharyngeal, and gastric microbiomes in children with impaired swallow function. Description: Duvallet, Claire, et al. Aerodigestive sampling reveals altered microbial exchange between lung, oropharyngeal, and gastric microbiomes in children with impaired swallow function. ''PLoS One''. 2019; '''14''' (5):e0216453
A feature agnostic approach for glaucoma detection in OCT volumes. Description: Maetschke, Stefan, et al. A feature agnostic approach for glaucoma detection in OCT volumes. ''PLoS One''. 2019; '''14''' (7):e0219126
Alzheimer's Disease Diagnosis Based on Cortical and Subcortical Features. Description: Gupta, Yubraj, et al. Alzheimer's Disease Diagnosis Based on Cortical and Subcortical Features. ''J Healthc Eng''. 2019; '''2019''': 2492719
Analysis of Single-Cell Gene Pair Coexpression Landscapes by Stochastic Kinetic Modeling Reveals Gene-Pair Interactions in Development. Description: Gallivan, Cameron P, et al. Analysis of Single-Cell Gene Pair Coexpression Landscapes by Stochastic Kinetic Modeling Reveals Gene-Pair Interactions in Development. ''Front Genet''. 2019; '''10''': 1387
Anatomical features of Fagaceae wood statistically extracted by computer vision approaches: Some relationships with evolution. Description: Kobayashi, Kayoko, et al. Anatomical features of Fagaceae wood statistically extracted by computer vision approaches: Some relationships with evolution. ''PLoS One''. 2019; '''14''' (8):e0220762
A non-contact infection screening system using medical radar and Linux-embedded FPGA: Implementation and preliminary validation. Description: Nguyen, Cuong V, et al. A non-contact infection screening system using medical radar and Linux-embedded FPGA: Implementation and preliminary validation. ''Inform Med Unlocked''. 2019; '''16''': 100225
A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures. Description: Grassi, Massimiliano, et al. A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures. ''Front Neurol''. 2019; '''10''': 756
A Novel Hybrid CNN-SVR for CRISPR/Cas9 Guide RNA Activity Prediction. Description: Zhang, Guishan, et al. A Novel Hybrid CNN-SVR for CRISPR/Cas9 Guide RNA Activity Prediction. ''Front Genet''. 2019; '''10''': 1303
A Novel Sparse Compositional Technique Reveals Microbial Perturbations. Description: Martino, Cameron, et al. A Novel Sparse Compositional Technique Reveals Microbial Perturbations. ''mSystems''. 2019 Jan-Feb; '''4''' (1):
Applying Machine Learning to Ultrafast Shape Recognition in Ligand-Based Virtual Screening. Description: Bonanno, Etienne, et al. Applying Machine Learning to Ultrafast Shape Recognition in Ligand-Based Virtual Screening. ''Front Pharmacol''. 2019; '''10''': 1675
A Practical Electronic Health Record-Based Dry Weight Supervision Model for Hemodialysis Patients. Description: Bi, Zhaori, et al. A Practical Electronic Health Record-Based Dry Weight Supervision Model for Hemodialysis Patients. ''IEEE J Transl Eng Health Med''. 2019; '''7''': 4200109
A Random Forests Framework for Modeling Haplotypes as Mosaics of Reference Haplotypes. Description: Faux, Pierre, et al. A Random Forests Framework for Modeling Haplotypes as Mosaics of Reference Haplotypes. ''Front Genet''. 2019; '''10''': 562
A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features. Description: Lv, Zhibin, et al. A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features. ''Front Bioeng Biotechnol''. 2019; '''7''': 215
A repository of microbial marker genes related to human health and diseases for host phenotype prediction using microbiome data. Description: Han, Wontack, et al. A repository of microbial marker genes related to human health and diseases for host phenotype prediction using microbiome data. ''Pac Symp Biocomput''. 2019; '''24''': 236-247
Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction. Description: Bahado-Singh, Ray Oliver, et al. Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction. ''PLoS One''. 2019; '''14''' (4):e0214121
Assessing reliability of intra-tumor heterogeneity estimates from single sample whole exome sequencing data. Description: Abecassis, Judith, et al. Assessing reliability of intra-tumor heterogeneity estimates from single sample whole exome sequencing data. ''PLoS One''. 2019; '''14''' (11):e0224143
Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms. Description: Dhahri, Habib, et al. Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms. ''J Healthc Eng''. 2019; '''2019''': 4253641
Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learning. Description: Nagasato, Daisuke, et al. Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learning. ''PLoS One''. 2019; '''14''' (11):e0223965
Automated Detection of Parkinson's Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network. Description: Ali, Liaqat, et al. Automated Detection of Parkinson's Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network. ''IEEE J Transl Eng Health Med''. 2019; '''7''': 2000410
Automated, Efficient, and Accelerated Knowledge Modeling of the Cognitive Neuroimaging Literature Using the ATHENA Toolkit. Description: Riedel, Michael C, et al. Automated, Efficient, and Accelerated Knowledge Modeling of the Cognitive Neuroimaging Literature Using the ATHENA Toolkit. ''Front Neurosci''. 2019; '''13''': 494
Biomarker discovery in inflammatory bowel diseases using network-based feature selection. Description: Abbas, Mostafa, et al. Biomarker discovery in inflammatory bowel diseases using network-based feature selection. ''PLoS One''. 2019; '''14''' (11):e0225382
Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module. Description: Jiang, Yun, et al. Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module. ''PLoS One''. 2019; '''14''' (3):e0214587
Calour: an Interactive, Microbe-Centric Analysis Tool. Description: Xu, Zhenjiang Zech, et al. Calour: an Interactive, Microbe-Centric Analysis Tool. ''mSystems''. 2019 Jan-Feb; '''4''' (1):
CANCROX: a cross-species cancer therapy database. Description: de Avila, Paulo Muniz, et al. CANCROX: a cross-species cancer therapy database. ''Database (Oxford)''. 2019 Jan 1; '''2019''':
cano-wgMLST_BacCompare: A Bacterial Genome Analysis Platform for Epidemiological Investigation and Comparative Genomic Analysis. Description: Liu, Yen-Yi, et al. cano-wgMLST_BacCompare: A Bacterial Genome Analysis Platform for Epidemiological Investigation and Comparative Genomic Analysis. ''Front Microbiol''. 2019; '''10''': 1687
Capsule Networks Showed Excellent Performance in the Classification of hERG Blockers/Nonblockers. Description: Wang, Yiwei, et al. Capsule Networks Showed Excellent Performance in the Classification of hERG Blockers/Nonblockers. ''Front Pharmacol''. 2019; '''10''': 1631
Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants. Description: Alaa, Ahmed M, et al. Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants. ''PLoS One''. 2019; '''14''' (5):e0213653
Cascaded Wx: A Novel Prognosis-Related Feature Selection Framework in Human Lung Adenocarcinoma Transcriptomes. Description: Shin, Bonggun, et al. Cascaded Wx: A Novel Prognosis-Related Feature Selection Framework in Human Lung Adenocarcinoma Transcriptomes. ''Front Genet''. 2019; '''10''': 662
"CATAStrophy," a Genome-Informed Trophic Classification of Filamentous Plant Pathogens - How Many Different Types of Filamentous Plant Pathogens Are There? Description: Hane, James K, et al. "CATAStrophy," a Genome-Informed Trophic Classification of Filamentous Plant Pathogens - How Many Different Types of Filamentous Plant Pathogens Are There? ''Front Microbiol''. 2019; '''10''': 3088
Cerebellar resting-state functional connectivity in Parkinson's disease and multiple system atrophy: Characterization of abnormalities and potential for differential diagnosis at the single-patient level. Description: Baggio, Hugo C, et al. Cerebellar resting-state functional connectivity in Parkinson's disease and multiple system atrophy: Characterization of abnormalities and potential for differential diagnosis at the single-patient level. ''Neuroimage Clin''. 2019; '''22''': 101720
Classification of neurons in the adult mouse cochlear nucleus: Linear discriminant analysis. Description: Manis, Paul B, et al. Classification of neurons in the adult mouse cochlear nucleus: Linear discriminant analysis. ''PLoS One''. 2019; '''14''' (10):e0223137
Clinical and Experimental Factors Influencing the Efficacy of Neurofeedback in ADHD: A Meta-Analysis. Description: Bussalb, Aurore, et al. Clinical and Experimental Factors Influencing the Efficacy of Neurofeedback in ADHD: A Meta-Analysis. ''Front Psychiatry''. 2019; '''10''': 35
Comparison between diffusion MRI tractography and histological tract-tracing of cortico-cortical structural connectivity in the ferret brain. Description: Delettre, Celine, et al. Comparison between diffusion MRI tractography and histological tract-tracing of cortico-cortical structural connectivity in the ferret brain. ''Netw Neurosci''. 2019; '''3''' (4):1038-1050
Computational framework for targeted high-coverage sequencing based NIPT. Description: Teder, Hindrek, et al. Computational framework for targeted high-coverage sequencing based NIPT. ''PLoS One''. 2019; '''14''' (7):e0209139
Computational screening of antimicrobial peptides for Acinetobacter baumannii. Description: Majumder, Ayan, et al. Computational screening of antimicrobial peptides for Acinetobacter baumannii. ''PLoS One''. 2019; '''14''' (10):e0219693
Cre-Dependent Optogenetic Transgenic Mice Without Early Age-Related Hearing Loss. Description: Lyngholm, Daniel, et al. Cre-Dependent Optogenetic Transgenic Mice Without Early Age-Related Hearing Loss. ''Front Aging Neurosci''. 2019; '''11''': 29
CT-Based Radiomics Signature for the Preoperative Discrimination Between Head and Neck Squamous Cell Carcinoma Grades. Description: Wu, Wenli, et al. CT-Based Radiomics Signature for the Preoperative Discrimination Between Head and Neck Squamous Cell Carcinoma Grades. ''Front Oncol''. 2019; '''9''': 821
Data-Mining Approach on Transcriptomics and Methylomics Placental Analysis Highlights Genes in Fetal Growth Restriction. Description: Chabrun, Floris, et al. Data-Mining Approach on Transcriptomics and Methylomics Placental Analysis Highlights Genes in Fetal Growth Restriction. ''Front Genet''. 2019; '''10''': 1292
Decoding spatial location of perceived pain to acupuncture needle using multivoxel pattern analysis. Description: Jung, Won-Mo, et al. Decoding spatial location of perceived pain to acupuncture needle using multivoxel pattern analysis. ''Mol Pain''. 2019 Jan-Dec; '''15''': 1744806919877060
Deep Learning Based Analysis of Histopathological Images of Breast Cancer. Description: Xie, Juanying, et al. Deep Learning Based Analysis of Histopathological Images of Breast Cancer. ''Front Genet''. 2019; '''10''': 80
Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data. Description: Idakwo, Gabriel, et al. Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data. ''Front Physiol''. 2019; '''10''': 1044
Deep learning for in vitro prediction of pharmaceutical formulations. Description: Yang, Yilong, et al. Deep learning for in vitro prediction of pharmaceutical formulations. ''Acta Pharm Sin B''. 2019 Jan; '''9''' (1):177-185
Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses. Description: Wang, Hao, et al. Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses. ''Front Pharmacol''. 2019; '''10''': 42
DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance. Description: Matsuzaka, Yasunari, et al. DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance. ''Front Bioeng Biotechnol''. 2019; '''7''': 485
Detecting Adverse Drug Events with Rapidly Trained Classification Models. Description: Chapman, Alec B, et al. Detecting Adverse Drug Events with Rapidly Trained Classification Models. ''Drug Saf''. 2019 Jan; '''42''' (1):147-156
Detection of Enriched T Cell Epitope Specificity in Full T Cell Receptor Sequence Repertoires. Description: Gielis, Sofie, et al. Detection of Enriched T Cell Epitope Specificity in Full T Cell Receptor Sequence Repertoires. ''Front Immunol''. 2019; '''10''': 2820
Developing well-calibrated illness severity scores for decision support in the critically ill. Description: Cosgriff, Christopher V, et al. Developing well-calibrated illness severity scores for decision support in the critically ill. ''NPJ Digit Med''. 2019; '''2''': 76
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. Description: Nagpal, Kunal, et al. Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. ''NPJ Digit Med''. 2019; '''2''': 48
Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database. Description: Hung, Chen-Ying, et al. Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database. ''PLoS One''. 2019; '''14''' (3):e0213007
Deviation from normative brain development is associated with symptom severity in autism spectrum disorder. Description: Tunc, Birkan, et al. Deviation from normative brain development is associated with symptom severity in autism spectrum disorder. ''Mol Autism''. 2019; '''10''': 46
Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes. Description: Wang, Yun, et al. Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes. ''Neuroimage Clin''. 2019; '''23''': 101859
Disrupted structural connectivity of fronto-deep gray matter pathways in progressive supranuclear palsy. Description: Abos, Alexandra, et al. Disrupted structural connectivity of fronto-deep gray matter pathways in progressive supranuclear palsy. ''Neuroimage Clin''. 2019; '''23''': 101899
Early and Accurate Prediction of Clinical Response to Methotrexate Treatment in Juvenile Idiopathic Arthritis Using Machine Learning. Description: Mo, Xiaolan, et al. Early and Accurate Prediction of Clinical Response to Methotrexate Treatment in Juvenile Idiopathic Arthritis Using Machine Learning. ''Front Pharmacol''. 2019; '''10''': 1155
EEG-Based Classification of Internally- and Externally-Directed Attention in an Augmented Reality Paradigm. Description: Vortmann, Lisa-Marie, et al. EEG-Based Classification of Internally- and Externally-Directed Attention in an Augmented Reality Paradigm. ''Front Hum Neurosci''. 2019; '''13''': 348
Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric Decoder. Description: Krasoulis, Agamemnon, et al. Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric Decoder. ''Front Neurosci''. 2019; '''13''': 891
Efficient Prediction of Vitamin B Deficiencies via Machine-Learning Using Routine Blood Test Results in Patients With Intense Psychiatric Episode. Description: Tamune, Hidetaka, et al. Efficient Prediction of Vitamin B Deficiencies via Machine-Learning Using Routine Blood Test Results in Patients With Intense Psychiatric Episode. ''Front Psychiatry''. 2019; '''10''': 1029
EnContact: predicting enhancer-enhancer contacts using sequence-based deep learning model. Description: Gan, Mingxin, et al. EnContact: predicting enhancer-enhancer contacts using sequence-based deep learning model. ''PeerJ''. 2019; '''7''': e7657
Enhanced Immunomodulation in Inflammatory Environments Favors Human Cardiac Mesenchymal Stromal-Like Cells for Allogeneic Cell Therapies. Description: Diedrichs, Falk, et al. Enhanced Immunomodulation in Inflammatory Environments Favors Human Cardiac Mesenchymal Stromal-Like Cells for Allogeneic Cell Therapies. ''Front Immunol''. 2019; '''10''': 1716
Enhancing timeliness of drug overdose mortality surveillance: A machine learning approach. Description: Ward, Patrick J, et al. Enhancing timeliness of drug overdose mortality surveillance: A machine learning approach. ''PLoS One''. 2019; '''14''' (10):e0223318
Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies. Description: Manduchi, Elisabetta, et al. Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies. ''BioData Min''. 2019; '''12''': 14
Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition. Description: Kunert-Graf, James M, et al. Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition. ''Front Comput Neurosci''. 2019; '''13''': 75
Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death. Description: Awan, Saqib E, et al. Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death. ''PLoS One''. 2019; '''14''' (6):e0218760
Finding Constellations in Chemical Space Through Core Analysis. Description: Naveja, J Jesus, et al. Finding Constellations in Chemical Space Through Core Analysis. ''Front Chem''. 2019; '''7''': 510
Fourier-Transform Infrared (FTIR) Spectroscopy for Typing of Clinical Enterobacter cloacae Complex Isolates. Description: Vogt, Sophia, et al. Fourier-Transform Infrared (FTIR) Spectroscopy for Typing of Clinical Enterobacter cloacae Complex Isolates. ''Front Microbiol''. 2019; '''10''': 2582
Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition. Description: Tiwari, Abhishek, et al. Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition. ''Comput Intell Neurosci''. 2019; '''2019''': 3076324
GECKO is a genetic algorithm to classify and explore high throughput sequencing data. Description: Thomas, Aubin, et al. GECKO is a genetic algorithm to classify and explore high throughput sequencing data. ''Commun Biol''. 2019; '''2''': 222
iDEF-PseRAAC: Identifying the Defensin Peptide by Using Reduced Amino Acid Composition Descriptor. Description: Zuo, Yongchun, et al. iDEF-PseRAAC: Identifying the Defensin Peptide by Using Reduced Amino Acid Composition Descriptor. ''Evol Bioinform Online''. 2019; '''15''': 1176934319867088
Identification of genetic markers for cortical areas using a Random Forest classification routine and the Allen Mouse Brain Atlas. Description: Weed, Natalie, et al. Identification of genetic markers for cortical areas using a Random Forest classification routine and the Allen Mouse Brain Atlas. ''PLoS One''. 2019; '''14''' (9):e0212898
Identification of Novel Antibacterials Using Machine Learning Techniques. Description: Ivanenkov, Yan A, et al. Identification of Novel Antibacterials Using Machine Learning Techniques. ''Front Pharmacol''. 2019; '''10''': 913
Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma Using Large-Scale Transcriptomics Data. Description: Kaur, Harpreet, et al. Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma Using Large-Scale Transcriptomics Data. ''Front Genet''. 2019; '''10''': 1306
Immune mediator expression signatures are associated with improved outcome in ovarian carcinoma. Description: Nakamura, Mano, et al. Immune mediator expression signatures are associated with improved outcome in ovarian carcinoma. ''Oncoimmunology''. 2019; '''8''' (6):e1593811
Impact of a Pharmacist-Led Intervention on 30-Day Readmission and Assessment of Factors Predictive of Readmission in African American Men With Heart Failure. Description: McKinley, DeAngelo, et al. Impact of a Pharmacist-Led Intervention on 30-Day Readmission and Assessment of Factors Predictive of Readmission in African American Men With Heart Failure. ''Am J Mens Health''. 2019 Jan-Feb; '''13''' (1):1557988318814295
Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics. Description: Adhikari, Lasith, et al. Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics. ''PLoS One''. 2019; '''14''' (4):e0214904
Integration of Random Forest Classifiers and Deep Convolutional Neural Networks for Classification and Biomolecular Modeling of Cancer Driver Mutations. Description: Agajanian, Steve, et al. Integration of Random Forest Classifiers and Deep Convolutional Neural Networks for Classification and Biomolecular Modeling of Cancer Driver Mutations. ''Front Mol Biosci''. 2019; '''6''': 44
Investigating the Effects of Mechanical Stimulation on Retinal Ganglion Cell Spontaneous Spiking Activity. Description: Marrese, Marica, et al. Investigating the Effects of Mechanical Stimulation on Retinal Ganglion Cell Spontaneous Spiking Activity. ''Front Neurosci''. 2019; '''13''': 1023
Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning. Description: Kusche, Carl, et al. Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning. ''PLoS One''. 2019; '''14''' (5):e0216493
Lateral ventricle volume trajectories predict response inhibition in older age-A longitudinal brain imaging and machine learning approach. Description: Lundervold, Astri J, et al. Lateral ventricle volume trajectories predict response inhibition in older age-A longitudinal brain imaging and machine learning approach. ''PLoS One''. 2019; '''14''' (4):e0207967
Leaf-Movement-Based Growth Prediction Model Using Optical Flow Analysis and Machine Learning in Plant Factory. Description: Nagano, Shogo, et al. Leaf-Movement-Based Growth Prediction Model Using Optical Flow Analysis and Machine Learning in Plant Factory. ''Front Plant Sci''. 2019; '''10''': 227
Leveraging Image-Derived Phenotypic Measurements for Drug-Target Interaction Predictions. Description: Kuthuru, Srikanth, et al. Leveraging Image-Derived Phenotypic Measurements for Drug-Target Interaction Predictions. ''Cancer Inform''. 2019; '''18''': 1176935119856595
Ligand Binding Induces Agonistic-Like Conformational Adaptations in Helix 12 of Progesterone Receptor Ligand Binding Domain. Description: Zheng, Liangzhen, et al. Ligand Binding Induces Agonistic-Like Conformational Adaptations in Helix 12 of Progesterone Receptor Ligand Binding Domain. ''Front Chem''. 2019; '''7''': 315
Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients. Description: Decaro, Cristoforo, et al. Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients. ''IEEE J Transl Eng Health Med''. 2019; '''7''': 4100308
Machine Learning Classification Model for Functional Binding Modes of TEM-1 beta-Lactamase. Description: Wang, Feng, et al. Machine Learning Classification Model for Functional Binding Modes of TEM-1 beta-Lactamase. ''Front Mol Biosci''. 2019; '''6''': 47
Machine learning discovery of longitudinal patterns of depression and suicidal ideation. Description: Gong, Jue, et al. Machine learning discovery of longitudinal patterns of depression and suicidal ideation. ''PLoS One''. 2019; '''14''' (9):e0222665
Machine learning framework for assessment of microbial factory performance. Description: Oyetunde, Tolutola, et al. Machine learning framework for assessment of microbial factory performance. ''PLoS One''. 2019; '''14''' (1):e0210558
Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data. Description: Masino, Aaron J, et al. Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data. ''PLoS One''. 2019; '''14''' (2):e0212665
Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients. Description: Hasnain, Zaki, et al. Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients. ''PLoS One''. 2019; '''14''' (2):e0210976
Machine learning prediction of emesis and gastrointestinal state in ferrets. Description: Nanivadekar, Ameya C, et al. Machine learning prediction of emesis and gastrointestinal state in ferrets. ''PLoS One''. 2019; '''14''' (10):e0223279
Measuring the tilt and slant of Chinese handwriting in primary school students: A computerized approach. Description: Li, Monica M Q, et al. Measuring the tilt and slant of Chinese handwriting in primary school students: A computerized approach. ''PLoS One''. 2019; '''14''' (11):e0223485
Microbiome predictors of dysbiosis and VRE decolonization in patients with recurrent C. difficile infections in a multi-center retrospective study. Description: Santiago, Marina, et al. Microbiome predictors of dysbiosis and VRE decolonization in patients with recurrent C. difficile infections in a multi-center retrospective study. ''AIMS Microbiol''. 2019; '''5''' (1):1-18
Modeling the Quality of Player Passing Decisions in Australian Rules Football Relative to Risk, Reward, and Commitment. Description: Spencer, Bartholomew, et al. Modeling the Quality of Player Passing Decisions in Australian Rules Football Relative to Risk, Reward, and Commitment. ''Front Psychol''. 2019; '''10''': 1777
Modelling tick bite risk by combining random forests and count data regression models. Description: Garcia-Marti, Irene, et al. Modelling tick bite risk by combining random forests and count data regression models. ''PLoS One''. 2019; '''14''' (12):e0216511
Modulation of vitamin D signaling by the pioneer factor CEBPA. Description: Nurminen, Veijo, et al. Modulation of vitamin D signaling by the pioneer factor CEBPA. ''Biochim Biophys Acta Gene Regul Mech''. 2019 Jan; '''1862''' (1):96-106
Multilevel and Multiscale Feature Aggregation in Deep Networks for Facial Constitution Classification. Description: Huan, Er-Yang, et al. Multilevel and Multiscale Feature Aggregation in Deep Networks for Facial Constitution Classification. ''Comput Math Methods Med''. 2019; '''2019''': 1258782
Multivariate prediction of functional outcome using lesion topography characterized by acute diffusion tensor imaging. Description: Moulton, Eric, et al. Multivariate prediction of functional outcome using lesion topography characterized by acute diffusion tensor imaging. ''Neuroimage Clin''. 2019; '''23''': 101821
Nature representation in South American protected areas: country contrasts and conservation priorities. Description: Baldi, German, et al. Nature representation in South American protected areas: country contrasts and conservation priorities. ''PeerJ''. 2019; '''7''': e7155
Neural Correlates of Anesthesia in Newborn Mice and Humans. Description: Chini, Mattia, et al. Neural Correlates of Anesthesia in Newborn Mice and Humans. ''Front Neural Circuits''. 2019; '''13''': 38
Neural responses to monetary incentives in bipolar disorder. Description: Johnson, Sheri L, et al. Neural responses to monetary incentives in bipolar disorder. ''Neuroimage Clin''. 2019; '''24''': 102018
Noninvasive Evaluation of the Pathologic Grade of Hepatocellular Carcinoma Using MCF-3DCNN: A Pilot Study. Description: Yang, Da-Wei, et al. Noninvasive Evaluation of the Pathologic Grade of Hepatocellular Carcinoma Using MCF-3DCNN: A Pilot Study. ''Biomed Res Int''. 2019; '''2019''': 9783106
On the development of sleep states in the first weeks of life. Description: Wielek, Tomasz, et al. On the development of sleep states in the first weeks of life. ''PLoS One''. 2019; '''14''' (10):e0224521
On the Sparse Structure of Natural Sounds and Natural Images: Similarities, Differences, and Implications for Neural Coding. Description: Dodds, Eric McVoy, et al. On the Sparse Structure of Natural Sounds and Natural Images: Similarities, Differences, and Implications for Neural Coding. ''Front Comput Neurosci''. 2019; '''13''': 39
On the utilization of deep and ensemble learning to detect milk adulteration. Description: Neto, Habib Asseiss, et al. On the utilization of deep and ensemble learning to detect milk adulteration. ''BioData Min''. 2019; '''12''': 13
Optimization of Real-Time EEG Artifact Removal and Emotion Estimation for Human-Robot Interaction Applications. Description: Val-Calvo, Mikel, et al. Optimization of Real-Time EEG Artifact Removal and Emotion Estimation for Human-Robot Interaction Applications. ''Front Comput Neurosci''. 2019; '''13''': 80
Pelvic floor pressure distribution profile in urinary incontinence: a classification study with feature selection. Description: Carafini, Adriano, et al. Pelvic floor pressure distribution profile in urinary incontinence: a classification study with feature selection. ''PeerJ''. 2019; '''7''': e8207
Predicted Brain Age After Stroke. Description: Egorova, Natalia, et al. Predicted Brain Age After Stroke. ''Front Aging Neurosci''. 2019; '''11''': 348
Predicting breast cancer risk using personal health data and machine learning models. Description: Stark, Gigi F, et al. Predicting breast cancer risk using personal health data and machine learning models. ''PLoS One''. 2019; '''14''' (12):e0226765
Predicting Complete Remission of Acute Myeloid Leukemia: Machine Learning Applied to Gene Expression. Description: Gal, Ophir, et al. Predicting Complete Remission of Acute Myeloid Leukemia: Machine Learning Applied to Gene Expression. ''Cancer Inform''. 2019; '''18''': 1176935119835544
Predicting inadequate postoperative pain management in depressed patients: A machine learning approach. Description: Parthipan, Arjun, et al. Predicting inadequate postoperative pain management in depressed patients: A machine learning approach. ''PLoS One''. 2019; '''14''' (2):e0210575
Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers. Description: Pieszko, Konrad, et al. Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers. ''Dis Markers''. 2019; '''2019''': 9056402
Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers. Description: Fraser, Kathleen C, et al. Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers. ''Front Aging Neurosci''. 2019; '''11''': 205
Predicting opioid dependence from electronic health records with machine learning. Description: Ellis, Randall J, et al. Predicting opioid dependence from electronic health records with machine learning. ''BioData Min''. 2019; '''12''': 3
Predicting scheduled hospital attendance with artificial intelligence. Description: Nelson, Amy, et al. Predicting scheduled hospital attendance with artificial intelligence. ''NPJ Digit Med''. 2019; '''2''': 26
Predicting the occurrence of surgical site infections using text mining and machine learning. Description: da Silva, Daniel A, et al. Predicting the occurrence of surgical site infections using text mining and machine learning. ''PLoS One''. 2019; '''14''' (12):e0226272
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning. Description: Pruksawan, Sirawit, et al. Prediction and optimization of epoxy adhesive strength from a small dataset through active learning. ''Sci Technol Adv Mater''. 2019; '''20''' (1):1010-1021
Prediction of adolescent subjective well-being: A machine learning approach. Description: Zhang, Naixin, et al. Prediction of adolescent subjective well-being: A machine learning approach. ''Gen Psychiatr''. 2019; '''32''' (5):e100096
Prediction of Chemotherapy Response of Osteosarcoma Using Baseline (18)F-FDG Textural Features Machine Learning Approaches with PCA. Description: Jeong, Su Young, et al. Prediction of Chemotherapy Response of Osteosarcoma Using Baseline (18)F-FDG Textural Features Machine Learning Approaches with PCA. ''Contrast Media Mol Imaging''. 2019; '''2019''': 3515080
Prediction of Gait Impairment in Toddlers Born Preterm From Near-Term Brain Microstructure Assessed With DTI, Using Exhaustive Feature Selection and Cross-Validation. Description: Cahill-Rowley, Katelyn, et al. Prediction of Gait Impairment in Toddlers Born Preterm From Near-Term Brain Microstructure Assessed With DTI, Using Exhaustive Feature Selection and Cross-Validation. ''Front Hum Neurosci''. 2019; '''13''': 305
Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning. Description: Gonzalez Jimenez, Mario, et al. Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning. ''Wellcome Open Res''. 2019; '''4''': 76
Prediction of risk scores for colorectal cancer patients from the concentration of proteins involved in mitochondrial apoptotic pathway. Description: Lathwal, Anjali, et al. Prediction of risk scores for colorectal cancer patients from the concentration of proteins involved in mitochondrial apoptotic pathway. ''PLoS One''. 2019; '''14''' (9):e0217527
Prediction of the Antioxidant Response Elements' Response of Compound by Deep Learning. Description: Bai, Fang, et al. Prediction of the Antioxidant Response Elements' Response of Compound by Deep Learning. ''Front Chem''. 2019; '''7''': 385
Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI. Description: Shinde, Sumeet, et al. Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI. ''Neuroimage Clin''. 2019; '''22''': 101748
Prioritizing bona fide bacterial small RNAs with machine learning classifiers. Description: Eppenhof, Erik J J, et al. Prioritizing bona fide bacterial small RNAs with machine learning classifiers. ''PeerJ''. 2019; '''7''': e6304
QuantiMus: A Machine Learning-Based Approach for High Precision Analysis of Skeletal Muscle Morphology. Description: Kastenschmidt, Jenna M, et al. QuantiMus: A Machine Learning-Based Approach for High Precision Analysis of Skeletal Muscle Morphology. ''Front Physiol''. 2019; '''10''': 1416
Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist the Diagnosis of Idiopathic Parkinson's Disease. Description: Cheng, Zenghui, et al. Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist the Diagnosis of Idiopathic Parkinson's Disease. ''Front Aging Neurosci''. 2019; '''11''': 167
Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization. Description: Toivonen, Jussi, et al. Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization. ''PLoS One''. 2019; '''14''' (7):e0217702
Reduced neural sensitivity to rapid individual face discrimination in autism spectrum disorder. Description: Vettori, Sofie, et al. Reduced neural sensitivity to rapid individual face discrimination in autism spectrum disorder. ''Neuroimage Clin''. 2019; '''21''': 101613
Remote sensing tree classification with a multilayer perceptron. Description: Sumsion, G Rex, et al. Remote sensing tree classification with a multilayer perceptron. ''PeerJ''. 2019; '''7''': e6101
Risk Prediction Tool for Aggressive Tumors in Clinical T1 Stage Clear Cell Renal Cell Carcinoma Using Molecular Biomarkers. Description: Park, Jee Soo, et al. Risk Prediction Tool for Aggressive Tumors in Clinical T1 Stage Clear Cell Renal Cell Carcinoma Using Molecular Biomarkers. ''Comput Struct Biotechnol J''. 2019; '''17''': 371-377
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status. Description: Weninger, Leon, et al. Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status. ''Front Comput Neurosci''. 2019; '''13''': 73
Selection of Optimal Ancestry Informative Markers for Classification and Ancestry Proportion Estimation in Pigs. Description: Liang, Zuoxiang, et al. Selection of Optimal Ancestry Informative Markers for Classification and Ancestry Proportion Estimation in Pigs. ''Front Genet''. 2019; '''10''': 183
Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection. Description: Fang, Yong, et al. Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection. ''PLoS One''. 2019; '''14''' (9):e0222713
Severity Classification of Conjunctival Hyperaemia by Deep Neural Network Ensembles. Description: Masumoto, Hiroki, et al. Severity Classification of Conjunctival Hyperaemia by Deep Neural Network Ensembles. ''J Ophthalmol''. 2019; '''2019''': 7820971
Sex differences in brain correlates of STEM anxiety. Description: Gonzalez, Ariel A, et al. Sex differences in brain correlates of STEM anxiety. ''NPJ Sci Learn''. 2019; '''4''': 18
Single cell RNA sequencing reveals regional heterogeneity of hepatobiliary innate lymphoid cells in a tissue-enriched fashion. Description: Peters, Anna L, et al. Single cell RNA sequencing reveals regional heterogeneity of hepatobiliary innate lymphoid cells in a tissue-enriched fashion. ''PLoS One''. 2019; '''14''' (4):e0215481
Smartwatches Can Detect Walker and Cane Use in Older Adults. Description: Antos, Stephen A, et al. Smartwatches Can Detect Walker and Cane Use in Older Adults. ''Innov Aging''. 2019 Jan; '''3''' (1):igz008
Spatial synchronization codes from coupled rate-phase neurons. Description: Monaco, Joseph D, et al. Spatial synchronization codes from coupled rate-phase neurons. ''PLoS Comput Biol''. 2019 Jan; '''15''' (1):e1006741
SPVec: A Word2vec-Inspired Feature Representation Method for Drug-Target Interaction Prediction. Description: Zhang, Yu-Fang, et al. SPVec: A Word2vec-Inspired Feature Representation Method for Drug-Target Interaction Prediction. ''Front Chem''. 2019; '''7''': 895
Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma. Description: Blackledge, Matthew D, et al. Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma. ''Front Oncol''. 2019; '''9''': 941
T-Cell Receptor Cognate Target Prediction Based on Paired alpha and beta Chain Sequence and Structural CDR Loop Similarities. Description: Lanzarotti, Esteban, et al. T-Cell Receptor Cognate Target Prediction Based on Paired alpha and beta Chain Sequence and Structural CDR Loop Similarities. ''Front Immunol''. 2019; '''10''': 2080
The Diagnostic Value of Radiomics-Based Machine Learning in Predicting the Grade of Meningiomas Using Conventional Magnetic Resonance Imaging: A Preliminary Study. Description: Chen, Chaoyue, et al. The Diagnostic Value of Radiomics-Based Machine Learning in Predicting the Grade of Meningiomas Using Conventional Magnetic Resonance Imaging: A Preliminary Study. ''Front Oncol''. 2019; '''9''': 1338
Tracing Geographical Origins of Teas Based on FT-NIR Spectroscopy: Introduction of Model Updating and Imbalanced Data Handling Approaches. Description: Hong, Xue-Zhen, et al. Tracing Geographical Origins of Teas Based on FT-NIR Spectroscopy: Introduction of Model Updating and Imbalanced Data Handling Approaches. ''J Anal Methods Chem''. 2019; '''2019''': 1537568
Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework. Description: Liu, Xun, et al. Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework. ''Sci Technol Adv Mater''. 2019; '''20''' (1):1090-1102
Using deep maxout neural networks to improve the accuracy of function prediction from protein interaction networks. Description: Wan, Cen, et al. Using deep maxout neural networks to improve the accuracy of function prediction from protein interaction networks. ''PLoS One''. 2019; '''14''' (7):e0209958
Using machine learning models to predict oxygen saturation following ventilator support adjustment in critically ill children: A single center pilot study. Description: Ghazal, Sam, et al. Using machine learning models to predict oxygen saturation following ventilator support adjustment in critically ill children: A single center pilot study. ''PLoS One''. 2019; '''14''' (2):e0198921
ViraMiner: Deep learning on raw DNA sequences for identifying viral genomes in human samples. Description: Tampuu, Ardi, et al. ViraMiner: Deep learning on raw DNA sequences for identifying viral genomes in human samples. ''PLoS One''. 2019; '''14''' (9):e0222271
Visual cues that predict intuitive risk perception in the case of HIV. Description: Schmalzle, Ralf, et al. Visual cues that predict intuitive risk perception in the case of HIV. ''PLoS One''. 2019; '''14''' (2):e0211770
What Do Neighbors Tell About You: The Local Context of Cis-Regulatory Modules Complicates Prediction of Regulatory Variants. Description: Penzar, Dmitry D, et al. What Do Neighbors Tell About You: The Local Context of Cis-Regulatory Modules Complicates Prediction of Regulatory Variants. ''Front Genet''. 2019; '''10''': 1078
HIV-1 Neutralizing Antibody Signatures and Application to Epitope-Targeted Vaccine Design. Description: Bricault, Christine A, et al. HIV-1 Neutralizing Antibody Signatures and Application to Epitope-Targeted Vaccine Design. ''Cell Host Microbe''. 2019 Jan 9; '''25''' (1):59-72.e8
Coupled Single-Cell CRISPR Screening and Epigenomic Profiling Reveals Causal Gene Regulatory Networks. Description: Rubin, Adam J, et al. Coupled Single-Cell CRISPR Screening and Epigenomic Profiling Reveals Causal Gene Regulatory Networks. ''Cell''. 2019 Jan 10; '''176''' (1-2):361-376.e17
Intelligent Spectroscopy System Used for Physicochemical Variables Estimation in Sugar Cane Soils. Description: Landeta-Escamilla, Ofelia, et al. Intelligent Spectroscopy System Used for Physicochemical Variables Estimation in Sugar Cane Soils. ''Sensors (Basel)''. 2019 Jan 10; '''19''' (2):
Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery. Description: Bosc, Nicolas, et al. Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery. ''J Cheminform''. 2019 Jan 10; '''11''' (1):4
Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches. Description: Lu, Fred S, et al. Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches. ''Nat Commun''. 2019 Jan 11; '''10''' (1):147
Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers. Description: Mamoshina, Polina, et al. Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers. ''Sci Rep''. 2019 Jan 15; '''9''' (1):142
Decoding attentional states for neurofeedback: Mindfulness vs. wandering thoughts. Description: Zhigalov, A, et al. Decoding attentional states for neurofeedback: Mindfulness vs. wandering thoughts. ''Neuroimage''. 2019 Jan 15; '''185''': 565-574
Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error. Description: Bannach-Brown, Alexandra, et al. Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error. ''Syst Rev''. 2019 Jan 15; '''8''' (1):23
Statistical tests for detecting variance effects in quantitative trait studies. Description: Dumitrascu, Bianca, et al. Statistical tests for detecting variance effects in quantitative trait studies. ''Bioinformatics''. 2019 Jan 15; '''35''' (2):200-210
Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning. Description: Kalmady, Sunil Vasu, et al. Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning. ''NPJ Schizophr''. 2019 Jan 18; '''5''' (1):2
[Clinical differences between primary nasopharyngeal NK/T-cell lymphoma and primary nasal cavity NK/T-cell lymphoma with nasopharynx extension]. Description: Liu, W X, et al. [Clinical differences between primary nasopharyngeal NK/T-cell lymphoma and primary nasal cavity NK/T-cell lymphoma with nasopharynx extension]. ''Zhonghua Zhong Liu Za Zhi''. 2019 Jan 23; '''41''' (1):56-62
Label-free classification of neurons and glia in neural stem cell cultures using a hyperspectral imaging microscopy combined with machine learning. Description: Ogi, Hiroshi, et al. Label-free classification of neurons and glia in neural stem cell cultures using a hyperspectral imaging microscopy combined with machine learning. ''Sci Rep''. 2019 Jan 24; '''9''' (1):633
Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction. Description: Zhao, Juan, et al. Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction. ''Sci Rep''. 2019 Jan 24; '''9''' (1):717
NP-Scout: Machine Learning Approach for the Quantification and Visualization of the Natural Product-Likeness of Small Molecules. Description: Chen, Ya, et al. NP-Scout: Machine Learning Approach for the Quantification and Visualization of the Natural Product-Likeness of Small Molecules. ''Biomolecules''. 2019 Jan 24; '''9''' (2):
Motor context dominates output from purkinje cell functional regions during reflexive visuomotor behaviours. Description: Knogler, Laura D, et al. Motor context dominates output from purkinje cell functional regions during reflexive visuomotor behaviours. ''Elife''. 2019 Jan 25; '''8''':
Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China. Description: Wang, Yumiao, et al. Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China. ''Int J Environ Res Public Health''. 2019 Jan 28; '''16''' (3):
Predicting Blood(-)Brain Barrier Permeability of Marine-Derived Kinase Inhibitors Using Ensemble Classifiers Reveals Potential Hits for Neurodegenerative Disorders. Description: Plisson, Fabien, et al. Predicting Blood(-)Brain Barrier Permeability of Marine-Derived Kinase Inhibitors Using Ensemble Classifiers Reveals Potential Hits for Neurodegenerative Disorders. ''Mar Drugs''. 2019 Jan 29; '''17''' (2):
Allosteric mechanism of the circadian protein Vivid resolved through Markov state model and machine learning analysis. Description: Zhou, Hongyu, et al. Allosteric mechanism of the circadian protein Vivid resolved through Markov state model and machine learning analysis. ''PLoS Comput Biol''. 2019 Feb; '''15''' (2):e1006801
Capturing chemical intuition in synthesis of metal-organic frameworks. Description: Moosavi, Seyed Mohamad, et al. Capturing chemical intuition in synthesis of metal-organic frameworks. ''Nat Commun''. 2019 Feb 1; '''10''' (1):539
Commonality despite exceptional diversity in the baseline human antibody repertoire. Description: Briney, Bryan, et al. Commonality despite exceptional diversity in the baseline human antibody repertoire. ''Nature''. 2019 Feb; '''566''' (7744):393-397
Discovery of new potent hits against intracellular Trypanosoma cruzi by QSAR-based virtual screening. Description: Melo-Filho, Cleber C, et al. Discovery of new potent hits against intracellular Trypanosoma cruzi by QSAR-based virtual screening. ''Eur J Med Chem''. 2019 Feb 1; '''163''': 649-659
Gut microbiome structure and metabolic activity in inflammatory bowel disease. Description: Franzosa, Eric A, et al. Gut microbiome structure and metabolic activity in inflammatory bowel disease. ''Nat Microbiol''. 2019 Feb; '''4''' (2):293-305
Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department. Description: Chiew, Calvin J, et al. Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department. ''Medicine (Baltimore)''. 2019 Feb; '''98''' (6):e14197
Informatics tools to assess the success of procedural harmonization in preclinical multicenter biomarker discovery study on post-traumatic epileptogenesis. Description: Ciszek, Robert, et al. Informatics tools to assess the success of procedural harmonization in preclinical multicenter biomarker discovery study on post-traumatic epileptogenesis. ''Epilepsy Res''. 2019 Feb; '''150''': 17-26
Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models. Description: Funnell, Tyler, et al. Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models. ''PLoS Comput Biol''. 2019 Feb; '''15''' (2):e1006799
Integrating exosomal microRNAs and electronic health data improved tuberculosis diagnosis. Description: Hu, Xuejiao, et al. Integrating exosomal microRNAs and electronic health data improved tuberculosis diagnosis. ''EBioMedicine''. 2019 Feb; '''40''': 564-573
Molecular subtyping of cancer and nomination of kinase candidates for inhibition with phosphoproteomics: Reanalysis of CPTAC ovarian cancer. Description: Tong, Mengsha, et al. Molecular subtyping of cancer and nomination of kinase candidates for inhibition with phosphoproteomics: Reanalysis of CPTAC ovarian cancer. ''EBioMedicine''. 2019 Feb; '''40''': 305-317
New tolerance factor to predict the stability of perovskite oxides and halides. Description: Bartel, Christopher J, et al. New tolerance factor to predict the stability of perovskite oxides and halides. ''Sci Adv''. 2019 Feb; '''5''' (2):eaav0693
PaDuA: A Python Library for High-Throughput (Phospho)proteomics Data Analysis. Description: Ressa, Anna, et al. PaDuA: A Python Library for High-Throughput (Phospho)proteomics Data Analysis. ''J Proteome Res''. 2019 Feb 1; '''18''' (2):576-584
Robust, atlas-free, automatic segmentation of brain MRI in health and disease. Description: Selvaganesan, Kartiga, et al. Robust, atlas-free, automatic segmentation of brain MRI in health and disease. ''Heliyon''. 2019 Feb; '''5''' (2):e01226
Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks. Description: Metwally, Ahmed A, et al. Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks. ''PLoS Comput Biol''. 2019 Feb; '''15''' (2):e1006693
Avoiding hERG-liability in drug design via synergetic combinations of different (Q)SAR methodologies and data sources: a case study in an industrial setting. Description: Hanser, Thierry, et al. Avoiding hERG-liability in drug design via synergetic combinations of different (Q)SAR methodologies and data sources: a case study in an industrial setting. ''J Cheminform''. 2019 Feb 2; '''11''' (1):9
Single-molecule sequencing detection of N6-methyladenine in microbial reference materials. Description: McIntyre, Alexa B R, et al. Single-molecule sequencing detection of N6-methyladenine in microbial reference materials. ''Nat Commun''. 2019 Feb 4; '''10''' (1):579
Chemical space exploration guided by deep neural networks. Description: Karlov, Dmitry S, et al. Chemical space exploration guided by deep neural networks. ''RSC Adv''. 2019 Feb 5; '''9''' (9):5151-5157
Structural rearrangements generate cell-specific, gene-independent CRISPR-Cas9 loss of fitness effects. Description: Goncalves, Emanuel, et al. Structural rearrangements generate cell-specific, gene-independent CRISPR-Cas9 loss of fitness effects. ''Genome Biol''. 2019 Feb 5; '''20''' (1):27
A data-informatics method to quantitatively represent ternary eutectic microstructures. Description: Sargin, Irmak, et al. A data-informatics method to quantitatively represent ternary eutectic microstructures. ''Sci Rep''. 2019 Feb 7; '''9''' (1):1591
Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors' Data. Description: Li, Kenan, et al. Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors' Data. ''JMIR Mhealth Uhealth''. 2019 Feb 7; '''7''' (2):e11201
Differences in neurotropism and neurotoxicity among retrograde viral tracers. Description: Sun, Leqiang, et al. Differences in neurotropism and neurotoxicity among retrograde viral tracers. ''Mol Neurodegener''. 2019 Feb 8; '''14''' (1):8
Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity. Description: Linker, Stephanie M, et al. Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity. ''Genome Biol''. 2019 Feb 11; '''20''' (1):30
Development of Orthogonal Linear Separation Analysis (OLSA) to Decompose Drug Effects into Basic Components. Description: Mizuno, Tadahaya, et al. Development of Orthogonal Linear Separation Analysis (OLSA) to Decompose Drug Effects into Basic Components. ''Sci Rep''. 2019 Feb 12; '''9''' (1):1824
Development of Prediction Models Using Machine Learning Algorithms for Girls with Suspected Central Precocious Puberty: Retrospective Study. Description: Pan, Liyan, et al. Development of Prediction Models Using Machine Learning Algorithms for Girls with Suspected Central Precocious Puberty: Retrospective Study. ''JMIR Med Inform''. 2019 Feb 12; '''7''' (1):e11728
Four-dimensional joint visualization of electrode degradation and liquid water distribution inside operating polymer electrolyte fuel cells. Description: White, Robin T, et al. Four-dimensional joint visualization of electrode degradation and liquid water distribution inside operating polymer electrolyte fuel cells. ''Sci Rep''. 2019 Feb 12; '''9''' (1):1843
SALMANTICOR study. Rationale and design of a population-based study to identify structural heart disease abnormalities: a spatial and machine learning analysis. Description: Melero-Alegria, Jose Ignacio, et al. SALMANTICOR study. Rationale and design of a population-based study to identify structural heart disease abnormalities: a spatial and machine learning analysis. ''BMJ Open''. 2019 Feb 13; '''9''' (2):e024605
Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations. Description: Winter, Robin, et al. Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations. ''Chem Sci''. 2019 Feb 14; '''10''' (6):1692-1701
Cross-Device Computation Coordination for Mobile Collocated Interactions with Wearables. Description: Yoon, Hyoseok, et al. Cross-Device Computation Coordination for Mobile Collocated Interactions with Wearables. ''Sensors (Basel)''. 2019 Feb 15; '''19''' (4):
Machine Learning Approach for Determining the Formation of beta-Lactam Antibiotic Complexes with Cyclodextrins Using Multispectral Analysis. Description: Mizera, Mikolaj, et al. Machine Learning Approach for Determining the Formation of beta-Lactam Antibiotic Complexes with Cyclodextrins Using Multispectral Analysis. ''Molecules''. 2019 Feb 19; '''24''' (4):
Single-Cell Transcriptomics of Regulatory T Cells Reveals Trajectories of Tissue Adaptation. Description: Miragaia, Ricardo J, et al. Single-Cell Transcriptomics of Regulatory T Cells Reveals Trajectories of Tissue Adaptation. ''Immunity''. 2019 Feb 19; '''50''' (2):493-504.e7
Automated behavioural analysis reveals the basic behavioural repertoire of the urochordate Ciona intestinalis. Description: Rudolf, Jerneja, et al. Automated behavioural analysis reveals the basic behavioural repertoire of the urochordate Ciona intestinalis. ''Sci Rep''. 2019 Feb 20; '''9''' (1):2416
Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations. Description: Wakamiya, Shoko, et al. Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations. ''J Med Internet Res''. 2019 Feb 20; '''21''' (2):e12783
BGFE: A Deep Learning Model for ncRNA-Protein Interaction Predictions Based on Improved Sequence Information. Description: Zhan, Zhao-Hui, et al. BGFE: A Deep Learning Model for ncRNA-Protein Interaction Predictions Based on Improved Sequence Information. ''Int J Mol Sci''. 2019 Feb 23; '''20''' (4):
Chronology-based architecture of descending circuits that underlie the development of locomotor repertoire after birth. Description: Pujala, Avinash, et al. Chronology-based architecture of descending circuits that underlie the development of locomotor repertoire after birth. ''Elife''. 2019 Feb 25; '''8''':
Differentiation of Patients with Balance Insufficiency (Vestibular Hypofunction) versus Normal Subjects Using a Low-Cost Small Wireless Wearable Gait Sensor. Description: Nguyen, Tam Q, et al. Differentiation of Patients with Balance Insufficiency (Vestibular Hypofunction) versus Normal Subjects Using a Low-Cost Small Wireless Wearable Gait Sensor. ''Biosensors (Basel)''. 2019 Feb 26; '''9''' (1):
High Sensitivity Profiling of Chromatin Structure by MNase-SSP. Description: Ramani, Vijay, et al. High Sensitivity Profiling of Chromatin Structure by MNase-SSP. ''Cell Rep''. 2019 Feb 26; '''26''' (9):2465-2476.e4
Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes. Description: Zhou, Felix Y, et al. Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes. ''Elife''. 2019 Feb 26; '''8''':
Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning. Description: O'Brien, Aidan R, et al. Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning. ''Sci Rep''. 2019 Feb 26; '''9''' (1):2788
Integrative modeling reveals key chromatin and sequence signatures predicting super-enhancers. Description: Khan, Aziz, et al. Integrative modeling reveals key chromatin and sequence signatures predicting super-enhancers. ''Sci Rep''. 2019 Feb 27; '''9''' (1):2877
Utilisation of Ambient Laser Desorption Ionisation Mass Spectrometry (ALDI-MS) Improves Lipid-Based Microbial Species Level Identification. Description: Cameron, Simon J S, et al. Utilisation of Ambient Laser Desorption Ionisation Mass Spectrometry (ALDI-MS) Improves Lipid-Based Microbial Species Level Identification. ''Sci Rep''. 2019 Feb 28; '''9''' (1):3006
Electronic structure at coarse-grained resolutions from supervised machine learning. Description: Jackson, Nicholas E, et al. Electronic structure at coarse-grained resolutions from supervised machine learning. ''Sci Adv''. 2019 Mar; '''5''' (3):eaav1190
Evaluation of Machine Learning Classifiers to Predict Compound Mechanism of Action When Transferred across Distinct Cell Lines. Description: Warchal, Scott J, et al. Evaluation of Machine Learning Classifiers to Predict Compound Mechanism of Action When Transferred across Distinct Cell Lines. ''SLAS Discov''. 2019 Mar; '''24''' (3):224-233
Neural architecture supporting active emotion processing in children: A multivariate approach. Description: Camacho, M Catalina, et al. Neural architecture supporting active emotion processing in children: A multivariate approach. ''Neuroimage''. 2019 Mar; '''188''': 171-180
Temporal evolution of cortical ensembles promoting remote memory retrieval. Description: DeNardo, Laura A, et al. Temporal evolution of cortical ensembles promoting remote memory retrieval. ''Nat Neurosci''. 2019 Mar; '''22''' (3):460-469
Use of Machine Learning to Identify Follow-Up Recommendations in Radiology Reports. Description: Carrodeguas, Emmanuel, et al. Use of Machine Learning to Identify Follow-Up Recommendations in Radiology Reports. ''J Am Coll Radiol''. 2019 Mar; '''16''' (3):336-343
Cooperative Changes in Solvent Exposure Identify Cryptic Pockets, Switches, and Allosteric Coupling. Description: Porter, Justin R, et al. Cooperative Changes in Solvent Exposure Identify Cryptic Pockets, Switches, and Allosteric Coupling. ''Biophys J''. 2019 Mar 5; '''116''' (5):818-830
Host Taxon Predictor - A Tool for Predicting Taxon of the Host of a Newly Discovered Virus. Description: Galan, Wojciech, et al. Host Taxon Predictor - A Tool for Predicting Taxon of the Host of a Newly Discovered Virus. ''Sci Rep''. 2019 Mar 5; '''9''' (1):3436
Intelligent and Dynamic Ransomware Spread Detection and Mitigation in Integrated Clinical Environments. Description: Fernandez Maimo, Lorenzo, et al. Intelligent and Dynamic Ransomware Spread Detection and Mitigation in Integrated Clinical Environments. ''Sensors (Basel)''. 2019 Mar 5; '''19''' (5):
Regulation of Intronic Polyadenylation by PCF11 Impacts mRNA Expression of Long Genes. Description: Wang, Ruijia, et al. Regulation of Intronic Polyadenylation by PCF11 Impacts mRNA Expression of Long Genes. ''Cell Rep''. 2019 Mar 5; '''26''' (10):2766-2778.e6
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework. Description: Bussy, Simon, et al. Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework. ''BMC Med Res Methodol''. 2019 Mar 6; '''19''' (1):50
A Hippocampus-Accumbens Tripartite Neuronal Motif Guides Appetitive Memory in Space. Description: Trouche, Stephanie, et al. A Hippocampus-Accumbens Tripartite Neuronal Motif Guides Appetitive Memory in Space. ''Cell''. 2019 Mar 7; '''176''' (6):1393-1406.e16
Characterisation of nonlinear receptive fields of visual neurons by convolutional neural network. Description: Ukita, Jumpei, et al. Characterisation of nonlinear receptive fields of visual neurons by convolutional neural network. ''Sci Rep''. 2019 Mar 7; '''9''' (1):3791
Probabilistic ancestry maps: a method to assess and visualize population substructures in genetics. Description: Gaspar, Helena A, et al. Probabilistic ancestry maps: a method to assess and visualize population substructures in genetics. ''BMC Bioinformatics''. 2019 Mar 7; '''20''' (1):116
Ancient Mitochondrial Genomes Reveal the Absence of Maternal Kinship in the Burials of Catalhoyuk People and Their Genetic Affinities. Description: Chylenski, Maciej, et al. Ancient Mitochondrial Genomes Reveal the Absence of Maternal Kinship in the Burials of Catalhoyuk People and Their Genetic Affinities. ''Genes (Basel)''. 2019 Mar 11; '''10''' (3):
Detecting Hypoglycemia Incidents Reported in Patients' Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance. Description: Chen, Jinying, et al. Detecting Hypoglycemia Incidents Reported in Patients' Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance. ''J Med Internet Res''. 2019 Mar 11; '''21''' (3):e11990
ANN-Based Soft Sensor to Predict Effluent Violations in Wastewater Treatment Plants. Description: Pisa, Ivan, et al. ANN-Based Soft Sensor to Predict Effluent Violations in Wastewater Treatment Plants. ''Sensors (Basel)''. 2019 Mar 13; '''19''' (6):
Optimal respiratory-gated [(18)F]FDG PET/CT significantly impacts the quantification of metabolic parameters and their correlation with overall survival in patients with pancreatic ductal adenocarcinoma. Description: Smeets, Esther M M, et al. Optimal respiratory-gated [(18)F]FDG PET/CT significantly impacts the quantification of metabolic parameters and their correlation with overall survival in patients with pancreatic ductal adenocarcinoma. ''EJNMMI Res''. 2019 Mar 13; '''9''' (1):24
Repeated clinical malaria episodes are associated with modification of the immune system in children. Description: Bediako, Yaw, et al. Repeated clinical malaria episodes are associated with modification of the immune system in children. ''BMC Med''. 2019 Mar 13; '''17''' (1):60
A k-mer grammar analysis to uncover maize regulatory architecture. Description: Mejia-Guerra, Maria Katherine, et al. A k-mer grammar analysis to uncover maize regulatory architecture. ''BMC Plant Biol''. 2019 Mar 15; '''19''' (1):103
Near real-time enumeration of live and dead bacteria using a fibre-based spectroscopic device. Description: Ou, Fang, et al. Near real-time enumeration of live and dead bacteria using a fibre-based spectroscopic device. ''Sci Rep''. 2019 Mar 18; '''9''' (1):4807
Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning. Description: Chaber, Radoslaw, et al. Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning. ''Molecules''. 2019 Mar 19; '''24''' (6):
Computational geometry analysis of dendritic spines by structured illumination microscopy. Description: Kashiwagi, Yutaro, et al. Computational geometry analysis of dendritic spines by structured illumination microscopy. ''Nat Commun''. 2019 Mar 20; '''10''' (1):1285
A Scalable, Multiplexed Assay for Decoding GPCR-Ligand Interactions with RNA Sequencing. Description: Jones, Eric M, et al. A Scalable, Multiplexed Assay for Decoding GPCR-Ligand Interactions with RNA Sequencing. ''Cell Syst''. 2019 Mar 27; '''8''' (3):254-260.e6
Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. Description: Wu, Guangsheng, et al. Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. ''BMC Bioinformatics''. 2019 Mar 29; '''20''' (Suppl 3):134
reactIDR: evaluation of the statistical reproducibility of high-throughput structural analyses towards a robust RNA structure prediction. Description: Kawaguchi, Risa, et al. reactIDR: evaluation of the statistical reproducibility of high-throughput structural analyses towards a robust RNA structure prediction. ''BMC Bioinformatics''. 2019 Mar 29; '''20''' (Suppl 3):130
Automatic screening using word embeddings achieved high sensitivity and workload reduction for updating living network meta-analyses. Description: Lerner, Ivan, et al. Automatic screening using word embeddings achieved high sensitivity and workload reduction for updating living network meta-analyses. ''J Clin Epidemiol''. 2019 Apr; '''108''': 86-94
Estimation of the breadth of CD4bs targeting HIV antibodies by molecular modeling and machine learning. Description: Conti, Simone, et al. Estimation of the breadth of CD4bs targeting HIV antibodies by molecular modeling and machine learning. ''PLoS Comput Biol''. 2019 Apr; '''15''' (4):e1006954
Intra-individual methylomics detects the impact of early-life adversity. Description: Jiang, Shan, et al. Intra-individual methylomics detects the impact of early-life adversity. ''Life Sci Alliance''. 2019 Apr; '''2''' (2):
Natural language processing and recurrent network models for identifying genomic mutation-associated cancer treatment change from patient progress notes. Description: Guan, Meijian, et al. Natural language processing and recurrent network models for identifying genomic mutation-associated cancer treatment change from patient progress notes. ''JAMIA Open''. 2019 Apr; '''2''' (1):139-149
New insights from uncultivated genomes of the global human gut microbiome. Description: Nayfach, Stephen, et al. New insights from uncultivated genomes of the global human gut microbiome. ''Nature''. 2019 Apr; '''568''' (7753):505-510
Nonanimal Models for Acute Toxicity Evaluations: Applying Data-Driven Profiling and Read-Across. Description: Russo, Daniel P, et al. Nonanimal Models for Acute Toxicity Evaluations: Applying Data-Driven Profiling and Read-Across. ''Environ Health Perspect''. 2019 Apr; '''127''' (4):47001
Modern Virtual Fencing Application: Monitoring and Controlling Behavior of Goats Using GPS Collars and Warning Signals. Description: Muminov, Azamjon, et al. Modern Virtual Fencing Application: Monitoring and Controlling Behavior of Goats Using GPS Collars and Warning Signals. ''Sensors (Basel)''. 2019 Apr 2; '''19''' (7):
QligFEP: an automated workflow for small molecule free energy calculations in Q. Description: Jespers, Willem, et al. QligFEP: an automated workflow for small molecule free energy calculations in Q. ''J Cheminform''. 2019 Apr 2; '''11''' (1):26
Supervised machine learning of ultracold atoms with speckle disorder. Description: Pilati, S, et al. Supervised machine learning of ultracold atoms with speckle disorder. ''Sci Rep''. 2019 Apr 4; '''9''' (1):5613
Distinguishing the sources of silica nanoparticles by dual isotopic fingerprinting and machine learning. Description: Yang, Xuezhi, et al. Distinguishing the sources of silica nanoparticles by dual isotopic fingerprinting and machine learning. ''Nat Commun''. 2019 Apr 8; '''10''' (1):1620
TeachOpenCADD: a teaching platform for computer-aided drug design using open source packages and data. Description: Sydow, Dominique, et al. TeachOpenCADD: a teaching platform for computer-aided drug design using open source packages and data. ''J Cheminform''. 2019 Apr 8; '''11''' (1):29
Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques. Description: Balan, Oana, et al. Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques. ''Sensors (Basel)''. 2019 Apr 11; '''19''' (7):
Prognostic models based on imaging findings in glioblastoma: Human versus Machine. Description: Molina-Garcia, David, et al. Prognostic models based on imaging findings in glioblastoma: Human versus Machine. ''Sci Rep''. 2019 Apr 12; '''9''' (1):5982
Development of a protein-ligand extended connectivity (PLEC) fingerprint and its application for binding affinity predictions. Description: Wojcikowski, Maciej, et al. Development of a protein-ligand extended connectivity (PLEC) fingerprint and its application for binding affinity predictions. ''Bioinformatics''. 2019 Apr 15; '''35''' (8):1334-1341
Understanding User Experience: Exploring Participants' Messages With a Web-Based Behavioral Health Intervention for Adolescents With Chronic Pain. Description: Chen, Annie T, et al. Understanding User Experience: Exploring Participants' Messages With a Web-Based Behavioral Health Intervention for Adolescents With Chronic Pain. ''J Med Internet Res''. 2019 Apr 15; '''21''' (4):e11756
Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach. Description: Verberne, Suzan, et al. Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach. ''JMIR Cancer''. 2019 Apr 17; '''5''' (1):e9887
Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study. Description: Cho, Chul-Hyun, et al. Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study. ''J Med Internet Res''. 2019 Apr 17; '''21''' (4):e11029
Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records. Description: Pikoula, Maria, et al. Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records. ''BMC Med Inform Decis Mak''. 2019 Apr 18; '''19''' (1):86
Conformational Dynamics of the HIV-Vif Protein Complex. Description: Ball, K Aurelia, et al. Conformational Dynamics of the HIV-Vif Protein Complex. ''Biophys J''. 2019 Apr 23; '''116''' (8):1432-1445
Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM. Description: Chen, Huidong, et al. Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM. ''Nat Commun''. 2019 Apr 23; '''10''' (1):1903
The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex. Description: Zerlaut, Yann, et al. The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex. ''Cell Rep''. 2019 Apr 23; '''27''' (4):1119-1132.e7
Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study. Description: Tariq, Qandeel, et al. Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study. ''J Med Internet Res''. 2019 Apr 24; '''21''' (4):e13822
Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches. Description: Rozet, Alan, et al. Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches. ''J Med Internet Res''. 2019 Apr 26; '''21''' (4):e12910
A highly predictive signature of cognition and brain atrophy for progression to Alzheimer's dementia. Description: Tam, Angela, et al. A highly predictive signature of cognition and brain atrophy for progression to Alzheimer's dementia. ''Gigascience''. 2019 May 1; '''8''' (5):
A novel method to address the association between received dose intensity and survival outcome: benefits of approaching treatment intensification at a more individualised level in a trial of the European Osteosarcoma Intergroup. Description: Lancia, Carlo, et al. A novel method to address the association between received dose intensity and survival outcome: benefits of approaching treatment intensification at a more individualised level in a trial of the European Osteosarcoma Intergroup. ''Cancer Chemother Pharmacol''. 2019 May; '''83''' (5):951-962
Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction. Description: Chen, Michael L, et al. Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction. ''EBioMedicine''. 2019 May; '''43''': 356-369
Decoding the processing stages of mental arithmetic with magnetoencephalography. Description: Pinheiro-Chagas, Pedro, et al. Decoding the processing stages of mental arithmetic with magnetoencephalography. ''Cortex''. 2019 May; '''114''': 124-139
Diffusion-weighted magnetic resonance spectroscopy enables cell-specific monitoring of astrocyte reactivity in vivo. Description: Ligneul, Clemence, et al. Diffusion-weighted magnetic resonance spectroscopy enables cell-specific monitoring of astrocyte reactivity in vivo. ''Neuroimage''. 2019 May 1; '''191''': 457-469
Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine. Description: Liu, Jinjin, et al. Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine. ''EBioMedicine''. 2019 May; '''43''': 454-459
Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias. Description: Cai, Ming Bo, et al. Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias. ''PLoS Comput Biol''. 2019 May; '''15''' (5):e1006299
Exploring the Potential of Spherical Harmonics and PCVM for Compounds Activity Prediction. Description: Wiercioch, Magdalena. Exploring the Potential of Spherical Harmonics and PCVM for Compounds Activity Prediction. ''Int J Mol Sci''. 2019 May 2; '''20''' (9):
Neuronal Dynamics Regulating Brain and Behavioral State Transitions. Description: Andalman, Aaron S, et al. Neuronal Dynamics Regulating Brain and Behavioral State Transitions. ''Cell''. 2019 May 2; '''177''' (4):970-985.e20
Using Thermography to Confirm Genotypic Variation for Drought Response in Maize. Description: Casari, Raphael A C N, et al. Using Thermography to Confirm Genotypic Variation for Drought Response in Maize. ''Int J Mol Sci''. 2019 May 8; '''20''' (9):
Modeling and Experimental Study for Online Measurement of Hydraulic Cylinder Micro Leakage Based on Convolutional Neural Network. Description: Guo, Yuan, et al. Modeling and Experimental Study for Online Measurement of Hydraulic Cylinder Micro Leakage Based on Convolutional Neural Network. ''Sensors (Basel)''. 2019 May 9; '''19''' (9):
Real-Time Drink Trigger Detection in Free-living Conditions Using Inertial Sensors. Description: Gomes, Diana, et al. Real-Time Drink Trigger Detection in Free-living Conditions Using Inertial Sensors. ''Sensors (Basel)''. 2019 May 9; '''19''' (9):
Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow. Description: Constantinou, Iordania, et al. Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow. ''Micromachines (Basel)''. 2019 May 9; '''10''' (5):
Predicting the decision making chemicals used for bacterial growth. Description: Ashino, Kazuha, et al. Predicting the decision making chemicals used for bacterial growth. ''Sci Rep''. 2019 May 10; '''9''' (1):7251
Recognition of 3'-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning models. Description: Shein, Alexander, et al. Recognition of 3'-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning models. ''Sci Rep''. 2019 May 10; '''9''' (1):7211
A Comparative Study of Machine Learning Algorithms in Predicting Severe Complications after Bariatric Surgery. Description: Cao, Yang, et al. A Comparative Study of Machine Learning Algorithms in Predicting Severe Complications after Bariatric Surgery. ''J Clin Med''. 2019 May 12; '''8''' (5):
Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika Virus. Description: Daughton, Ashlynn R, et al. Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika Virus. ''J Med Internet Res''. 2019 May 13; '''21''' (5):e13090
The dynamic conformational landscape of the protein methyltransferase SETD8. Description: Chen, Shi, et al. The dynamic conformational landscape of the protein methyltransferase SETD8. ''Elife''. 2019 May 13; '''8''':
A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer. Description: Wagner, Johanna, et al. A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer. ''Cell''. 2019 May 16; '''177''' (5):1330-1345.e18
Disentangling Genetic and Environmental Effects on the Proteotypes of Individuals. Description: Romanov, Natalie, et al. Disentangling Genetic and Environmental Effects on the Proteotypes of Individuals. ''Cell''. 2019 May 16; '''177''' (5):1308-1318.e10
Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees. Description: Li, Li, et al. Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees. ''Sci Rep''. 2019 May 22; '''9''' (1):7703
An exploration strategy improves the diversity of de novo ligands using deep reinforcement learning: a case for the adenosine A2A receptor. Description: Liu, Xuhan, et al. An exploration strategy improves the diversity of de novo ligands using deep reinforcement learning: a case for the adenosine A2A receptor. ''J Cheminform''. 2019 May 24; '''11''' (1):35
Uncovering the structure of self-regulation through data-driven ontology discovery. Description: Eisenberg, Ian W, et al. Uncovering the structure of self-regulation through data-driven ontology discovery. ''Nat Commun''. 2019 May 24; '''10''' (1):2319
Molecular Profiling of Ulcerative Colitis Subjects from the TURANDOT Trial Reveals Novel Pharmacodynamic/Efficacy Biomarkers. Description: Zhou, Huanyu, et al. Molecular Profiling of Ulcerative Colitis Subjects from the TURANDOT Trial Reveals Novel Pharmacodynamic/Efficacy Biomarkers. ''J Crohns Colitis''. 2019 May 27; '''13''' (6):702-713
Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning. Description: Konishi, Hiroki, et al. Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning. ''BMC Bioinformatics''. 2019 May 28; '''20''' (1):267
Contribution of LTi and TH17 cells to B cell aggregate formation in the central nervous system in a mouse model of multiple sclerosis. Description: Schropp, Verena, et al. Contribution of LTi and TH17 cells to B cell aggregate formation in the central nervous system in a mouse model of multiple sclerosis. ''J Neuroinflammation''. 2019 May 28; '''16''' (1):111
Using an innovative stacked ensemble algorithm for the accurate prediction of preterm birth Description: Ramalingam, Pari, et al. Using an innovative stacked ensemble algorithm for the accurate prediction of preterm birth ''J Turk Ger Gynecol Assoc''. 2019 May 28; '''20''' (2):70-78
Method to measure the mismatch between target and achieved received dose intensity of chemotherapy in cancer trials: a retrospective analysis of the MRC BO06 trial in osteosarcoma. Description: Lancia, Carlo, et al. Method to measure the mismatch between target and achieved received dose intensity of chemotherapy in cancer trials: a retrospective analysis of the MRC BO06 trial in osteosarcoma. ''BMJ Open''. 2019 May 30; '''9''' (5):e022980
Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity. Description: Allen, Chad H G, et al. Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity. ''J Cheminform''. 2019 May 31; '''11''' (1):36
Contrasting characteristic behaviours among common laboratory mouse strains. Description: Sultana, Razia, et al. Contrasting characteristic behaviours among common laboratory mouse strains. ''R Soc Open Sci''. 2019 Jun; '''6''' (6):190574
Differentiation of glioblastoma from solitary brain metastases using radiomic machine-learning classifiers. Description: Qian, Zenghui, et al. Differentiation of glioblastoma from solitary brain metastases using radiomic machine-learning classifiers. ''Cancer Lett''. 2019 Jun 1; '''451''': 128-135
Identifying antimicrobial peptides using word embedding with deep recurrent neural networks. Description: Hamid, Md-Nafiz, et al. Identifying antimicrobial peptides using word embedding with deep recurrent neural networks. ''Bioinformatics''. 2019 Jun 1; '''35''' (12):2009-2016
Network pharmacology based investigation into the effect and mechanism of Modified Sijunzi Decoction against the subtypes of chronic atrophic gastritis. Description: Tian, Guihua, et al. Network pharmacology based investigation into the effect and mechanism of Modified Sijunzi Decoction against the subtypes of chronic atrophic gastritis. ''Pharmacol Res''. 2019 Jun; '''144''': 158-166
Rapid and cost-effective evaluation of bacterial viability using fluorescence spectroscopy. Description: Ou, Fang, et al. Rapid and cost-effective evaluation of bacterial viability using fluorescence spectroscopy. ''Anal Bioanal Chem''. 2019 Jun; '''411''' (16):3653-3663
Rational discovery of dual-indication multi-target PDE/Kinase inhibitor for precision anti-cancer therapy using structural systems pharmacology. Description: Lim, Hansaim, et al. Rational discovery of dual-indication multi-target PDE/Kinase inhibitor for precision anti-cancer therapy using structural systems pharmacology. ''PLoS Comput Biol''. 2019 Jun; '''15''' (6):e1006619
Semi-automated open water iceberg detection from Landsat applied to Disko Bay, West Greenland. Description: Scheick, Jessica, et al. Semi-automated open water iceberg detection from Landsat applied to Disko Bay, West Greenland. ''J Glaciol''. 2019 Jun; '''65''' (251):468-480
The effect of fractional inspired oxygen concentration on early warning score performance: A database analysis. Description: Malycha, James, et al. The effect of fractional inspired oxygen concentration on early warning score performance: A database analysis. ''Resuscitation''. 2019 Jun; '''139''': 192-199
Transcriptomic correlates of electrophysiological and morphological diversity within and across excitatory and inhibitory neuron classes. Description: Bomkamp, Claire, et al. Transcriptomic correlates of electrophysiological and morphological diversity within and across excitatory and inhibitory neuron classes. ''PLoS Comput Biol''. 2019 Jun; '''15''' (6):e1007113
wgd-simple command line tools for the analysis of ancient whole-genome duplications. Description: Zwaenepoel, Arthur, et al. wgd-simple command line tools for the analysis of ancient whole-genome duplications. ''Bioinformatics''. 2019 Jun 1; '''35''' (12):2153-2155
Detection of DNA base modifications by deep recurrent neural network on Oxford Nanopore sequencing data. Description: Liu, Qian, et al. Detection of DNA base modifications by deep recurrent neural network on Oxford Nanopore sequencing data. ''Nat Commun''. 2019 Jun 4; '''10''' (1):2449
Suicide Among Older Adults Living in or Transitioning to Residential Long-term Care, 2003 to 2015. Description: Mezuk, Briana, et al. Suicide Among Older Adults Living in or Transitioning to Residential Long-term Care, 2003 to 2015. ''JAMA Netw Open''. 2019 Jun 5; '''2''' (6):e195627
Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index. Description: Orlando, Gabriele, et al. Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index. ''Nat Commun''. 2019 Jun 7; '''10''' (1):2511
Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation. Description: Manavalan, Balachandran, et al. Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation. ''Mol Ther Nucleic Acids''. 2019 Jun 7; '''16''': 733-744
Identification of compounds that rescue otic and myelination defects in the zebrafish adgrg6 (gpr126) mutant. Description: Diamantopoulou, Elvira, et al. Identification of compounds that rescue otic and myelination defects in the zebrafish adgrg6 (gpr126) mutant. ''Elife''. 2019 Jun 10; '''8''':
Deep Learning for the Radiographic Detection of Periodontal Bone Loss. Description: Krois, Joachim, et al. Deep Learning for the Radiographic Detection of Periodontal Bone Loss. ''Sci Rep''. 2019 Jun 11; '''9''' (1):8495
Fast and automatic assessment of fall risk by coupling machine learning algorithms with a depth camera to monitor simple balance tasks. Description: Dubois, Amandine, et al. Fast and automatic assessment of fall risk by coupling machine learning algorithms with a depth camera to monitor simple balance tasks. ''J Neuroeng Rehabil''. 2019 Jun 11; '''16''' (1):71
Predicting disease-causing variant combinations. Description: Papadimitriou, Sofia, et al. Predicting disease-causing variant combinations. ''Proc Natl Acad Sci U S A''. 2019 Jun 11; '''116''' (24):11878-11887
Agglomerative Clustering of Enteric Infections and Weather Parameters to Identify Seasonal Outbreaks in Cold Climates. Description: Stashevsky, Pavel S, et al. Agglomerative Clustering of Enteric Infections and Weather Parameters to Identify Seasonal Outbreaks in Cold Climates. ''Int J Environ Res Public Health''. 2019 Jun 12; '''16''' (12):
Changes in the gut microbiome and fermentation products concurrent with enhanced longevity in acarbose-treated mice. Description: Smith, Byron J, et al. Changes in the gut microbiome and fermentation products concurrent with enhanced longevity in acarbose-treated mice. ''BMC Microbiol''. 2019 Jun 13; '''19''' (1):130
Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders. Description: Ghannad-Rezaie, Mostafa, et al. Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders. ''Nat Commun''. 2019 Jun 13; '''10''' (1):2620
Illuminating G-Protein-Coupling Selectivity of GPCRs. Description: Inoue, Asuka, et al. Illuminating G-Protein-Coupling Selectivity of GPCRs. ''Cell''. 2019 Jun 13; '''177''' (7):1933-1947.e25
Statistical representation models for mutation information within genomic data. Description: Ozcan Simsek, N Ozlem, et al. Statistical representation models for mutation information within genomic data. ''BMC Bioinformatics''. 2019 Jun 13; '''20''' (1):324
On-treatment biomarkers can improve prediction of response to neoadjuvant chemotherapy in breast cancer. Description: Bownes, Richard J, et al. On-treatment biomarkers can improve prediction of response to neoadjuvant chemotherapy in breast cancer. ''Breast Cancer Res''. 2019 Jun 14; '''21''' (1):73
A systematic analysis of genomics-based modeling approaches for prediction of drug response to cytotoxic chemotherapies. Description: Mannheimer, Joshua D, et al. A systematic analysis of genomics-based modeling approaches for prediction of drug response to cytotoxic chemotherapies. ''BMC Med Genomics''. 2019 Jun 17; '''12''' (1):87
A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques. Description: Alaiz-Moreton, Hector, et al. A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques. ''Sensors (Basel)''. 2019 Jun 18; '''19''' (12):
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images. Description: Cortes-Ciriano, Isidro, et al. KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images. ''J Cheminform''. 2019 Jun 19; '''11''' (1):41
Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring. Description: Chowdhury, Muhammad E H, et al. Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring. ''Sensors (Basel)''. 2019 Jun 20; '''19''' (12):
Structure-preserving visualisation of high dimensional single-cell datasets. Description: Szubert, Benjamin, et al. Structure-preserving visualisation of high dimensional single-cell datasets. ''Sci Rep''. 2019 Jun 20; '''9''' (1):8914
EEG Decoding Reveals the Strength and Temporal Dynamics of Goal-Relevant Representations. Description: Hubbard, Jason, et al. EEG Decoding Reveals the Strength and Temporal Dynamics of Goal-Relevant Representations. ''Sci Rep''. 2019 Jun 21; '''9''' (1):9051
Prediction of Sub-Monomer A2 Domain Dynamics of the von Willebrand Factor by Machine Learning Algorithm and Coarse-Grained Molecular Dynamics Simulation. Description: Morabito, Michael J, et al. Prediction of Sub-Monomer A2 Domain Dynamics of the von Willebrand Factor by Machine Learning Algorithm and Coarse-Grained Molecular Dynamics Simulation. ''Sci Rep''. 2019 Jun 21; '''9''' (1):9037
Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders. Description: Gomes, Diana, et al. Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders. ''Sensors (Basel)''. 2019 Jun 22; '''19''' (12):
Identifying pre-disease signals before metabolic syndrome in mice by dynamical network biomarkers. Description: Koizumi, Keiichi, et al. Identifying pre-disease signals before metabolic syndrome in mice by dynamical network biomarkers. ''Sci Rep''. 2019 Jun 24; '''9''' (1):8767
Modeling Nanostructure in Graphene Oxide: Inhomogeneity and the Percolation Threshold. Description: Sinclair, Robert C, et al. Modeling Nanostructure in Graphene Oxide: Inhomogeneity and the Percolation Threshold. ''J Chem Inf Model''. 2019 Jun 24; '''59''' (6):2741-2745
FunSet: an open-source software and web server for performing and displaying Gene Ontology enrichment analysis. Description: Hale, Matthew L, et al. FunSet: an open-source software and web server for performing and displaying Gene Ontology enrichment analysis. ''BMC Bioinformatics''. 2019 Jun 27; '''20''' (1):359
Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain. Description: Hu, Xiao-Su, et al. Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain. ''J Med Internet Res''. 2019 Jun 28; '''21''' (6):e13594
Genetic variant pathogenicity prediction trained using disease-specific clinical sequencing data sets. Description: Evans, Perry, et al. Genetic variant pathogenicity prediction trained using disease-specific clinical sequencing data sets. ''Genome Res''. 2019 Jul; '''29''' (7):1144-1151
A deep learning radiomics model for preoperative grading in meningioma. Description: Zhu, Yongbei, et al. A deep learning radiomics model for preoperative grading in meningioma. ''Eur J Radiol''. 2019 Jul; '''116''': 128-134
MVPA Analysis of Intertrial Phase Coherence of Neuromagnetic Responses to Words Reliably Classifies Multiple Levels of Language Processing in the Brain. Description: Jensen, Mads, et al. MVPA Analysis of Intertrial Phase Coherence of Neuromagnetic Responses to Words Reliably Classifies Multiple Levels of Language Processing in the Brain. ''eNeuro''. 2019 Jul/Aug; '''6''' (4):
Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters. Description: Domanskyi, Sergii, et al. Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters. ''BMC Bioinformatics''. 2019 Jul 1; '''20''' (1):369
Prediction of survival outcomes in patients with epithelial ovarian cancer using machine learning methods. Description: Paik, E Sun, et al. Prediction of survival outcomes in patients with epithelial ovarian cancer using machine learning methods. ''J Gynecol Oncol''. 2019 Jul; '''30''' (4):e65
Stratification of asthma phenotypes by airway proteomic signatures. Description: Schofield, James P R, et al. Stratification of asthma phenotypes by airway proteomic signatures. ''J Allergy Clin Immunol''. 2019 Jul; '''144''' (1):70-82
AlloDriver: a method for the identification and analysis of cancer driver targets. Description: Song, Kun, et al. AlloDriver: a method for the identification and analysis of cancer driver targets. ''Nucleic Acids Res''. 2019 Jul 2; '''47''' (W1):W315-W321
PRECOG: PREdicting COupling probabilities of G-protein coupled receptors. Description: Singh, Gurdeep, et al. PRECOG: PREdicting COupling probabilities of G-protein coupled receptors. ''Nucleic Acids Res''. 2019 Jul 2; '''47''' (W1):W395-W401
A Flexible Model of Working Memory. Description: Bouchacourt, Flora, et al. A Flexible Model of Working Memory. ''Neuron''. 2019 Jul 3; '''103''' (1):147-160.e8
Comparative Effectiveness of New Approaches to Improve Mortality Risk Models From Medicare Claims Data. Description: Krumholz, Harlan M, et al. Comparative Effectiveness of New Approaches to Improve Mortality Risk Models From Medicare Claims Data. ''JAMA Netw Open''. 2019 Jul 3; '''2''' (7):e197314
Leveraging machine learning techniques for predicting pancreatic neuroendocrine tumor grades using biochemical and tumor markers. Description: Zhou, Rui-Quan, et al. Leveraging machine learning techniques for predicting pancreatic neuroendocrine tumor grades using biochemical and tumor markers. ''World J Clin Cases''. 2019 Jul 6; '''7''' (13):1611-1622
Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq. Description: Kotliar, Dylan, et al. Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq. ''Elife''. 2019 Jul 8; '''8''':
Artificial Intelligence Prediction Model for the Cost and Mortality of Renal Replacement Therapy in Aged and Super-Aged Populations in Taiwan. Description: Lin, Shih-Yi, et al. Artificial Intelligence Prediction Model for the Cost and Mortality of Renal Replacement Therapy in Aged and Super-Aged Populations in Taiwan. ''J Clin Med''. 2019 Jul 9; '''8''' (7):
Automatically determining cause of death from verbal autopsy narratives. Description: Jeblee, Serena, et al. Automatically determining cause of death from verbal autopsy narratives. ''BMC Med Inform Decis Mak''. 2019 Jul 9; '''19''' (1):127
Multi-channel PINN: investigating scalable and transferable neural networks for drug discovery. Description: Lee, Munhwan, et al. Multi-channel PINN: investigating scalable and transferable neural networks for drug discovery. ''J Cheminform''. 2019 Jul 9; '''11''' (1):46
A Combination of Indoor Localization and Wearable Sensor-Based Physical Activity Recognition to Assess Older Patients Undergoing Subacute Rehabilitation: Baseline Study Results. Description: Ramezani, Ramin, et al. A Combination of Indoor Localization and Wearable Sensor-Based Physical Activity Recognition to Assess Older Patients Undergoing Subacute Rehabilitation: Baseline Study Results. ''JMIR Mhealth Uhealth''. 2019 Jul 10; '''7''' (7):e14090
Effects of Individuality, Education, and Image on Visual Attention: Analyzing Eye-tracking Data using Machine Learning. Description: Lee, Sangwon, et al. Effects of Individuality, Education, and Image on Visual Attention: Analyzing Eye-tracking Data using Machine Learning. ''J Eye Mov Res''. 2019 Jul 16; '''12''' (2):
Cerebellar disruption impairs working memory during evidence accumulation. Description: Deverett, Ben, et al. Cerebellar disruption impairs working memory during evidence accumulation. ''Nat Commun''. 2019 Jul 16; '''10''' (1):3128
Predicting microbial growth in a mixed culture from growth curve data. Description: Ram, Yoav, et al. Predicting microbial growth in a mixed culture from growth curve data. ''Proc Natl Acad Sci U S A''. 2019 Jul 16; '''116''' (29):14698-14707
Local Interaction Density (LID), a Fast and Efficient Tool to Prioritize Docking Poses. Description: Jacquemard, Celien, et al. Local Interaction Density (LID), a Fast and Efficient Tool to Prioritize Docking Poses. ''Molecules''. 2019 Jul 18; '''24''' (14):
Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction. Description: Padmanabhan, Meghana, et al. Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction. ''J Clin Med''. 2019 Jul 18; '''8''' (7):
Tradeoffs and Compatibilities of Chemical Properties in CpHqFrOs System. Description: Okamoto, Yasuharu. Tradeoffs and Compatibilities of Chemical Properties in CpHqFrOs System. ''Sci Rep''. 2019 Jul 19; '''9''' (1):10487
Hip and Wrist-Worn Accelerometer Data Analysis for Toddler Activities. Description: Kwon, Soyang, et al. Hip and Wrist-Worn Accelerometer Data Analysis for Toddler Activities. ''Int J Environ Res Public Health''. 2019 Jul 21; '''16''' (14):
Design and Evaluation of a Non-ContactBed-Mounted Sensing Device for AutomatedIn-Home Detection of Obstructive Sleep Apnea:A Pilot Study. Description: Mosquera-Lopez, Clara, et al. Design and Evaluation of a Non-ContactBed-Mounted Sensing Device for AutomatedIn-Home Detection of Obstructive Sleep Apnea:A Pilot Study. ''Biosensors (Basel)''. 2019 Jul 22; '''9''' (3):
Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach. Description: Kasthurirathne, Suranga N, et al. Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach. ''J Med Internet Res''. 2019 Jul 22; '''21''' (7):e13809
Emergence of digital biomarkers to predict and modify treatment efficacy: machine learning study. Description: Guthrie, Nicole L, et al. Emergence of digital biomarkers to predict and modify treatment efficacy: machine learning study. ''BMJ Open''. 2019 Jul 23; '''9''' (7):e030710
Attentional amplification of neural codes for number independent of other quantities along the dorsal visual stream. Description: Castaldi, Elisa, et al. Attentional amplification of neural codes for number independent of other quantities along the dorsal visual stream. ''Elife''. 2019 Jul 24; '''8''':
Comparison of Data Fusion Methods as Consensus Scores for Ensemble Docking. Description: Bajusz, David, et al. Comparison of Data Fusion Methods as Consensus Scores for Ensemble Docking. ''Molecules''. 2019 Jul 24; '''24''' (15):
Benchmarking of alignment-free sequence comparison methods. Description: Zielezinski, Andrzej, et al. Benchmarking of alignment-free sequence comparison methods. ''Genome Biol''. 2019 Jul 25; '''20''' (1):144
Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium. Description: Park, Hyejin, et al. Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium. ''Int J Environ Res Public Health''. 2019 Jul 25; '''16''' (15):
Development of the Self Optimising Kohonen Index Network (SKiNET) for Raman Spectroscopy Based Detection of Anatomical Eye Tissue. Description: Banbury, Carl, et al. Development of the Self Optimising Kohonen Index Network (SKiNET) for Raman Spectroscopy Based Detection of Anatomical Eye Tissue. ''Sci Rep''. 2019 Jul 25; '''9''' (1):10812
Applicability Domain of Active Learning in Chemical Probe Identification: Convergence in Learning from Non-Specific Compounds and Decision Rule Clarification. Description: Polash, Ahsan Habib, et al. Applicability Domain of Active Learning in Chemical Probe Identification: Convergence in Learning from Non-Specific Compounds and Decision Rule Clarification. ''Molecules''. 2019 Jul 26; '''24''' (15):
Identification of DNA motifs that regulate DNA methylation. Description: Wang, Mengchi, et al. Identification of DNA motifs that regulate DNA methylation. ''Nucleic Acids Res''. 2019 Jul 26; '''47''' (13):6753-6768
Comprehensive feature selection for classifying the treatment outcome of high-intensity ultrasound therapy in uterine fibroids. Description: Suomi, Visa, et al. Comprehensive feature selection for classifying the treatment outcome of high-intensity ultrasound therapy in uterine fibroids. ''Sci Rep''. 2019 Jul 29; '''9''' (1):10907
Revisiting the Allosteric Regulation of Sodium Cation on the Binding of Adenosine at the Human A2A Adenosine Receptor: Insights from Supervised Molecular Dynamics (SuMD) Simulations. Description: Bissaro, Maicol, et al. Revisiting the Allosteric Regulation of Sodium Cation on the Binding of Adenosine at the Human A2A Adenosine Receptor: Insights from Supervised Molecular Dynamics (SuMD) Simulations. ''Molecules''. 2019 Jul 29; '''24''' (15):
Strategies and limitations in app usage and human mobility. Description: De Nadai, Marco, et al. Strategies and limitations in app usage and human mobility. ''Sci Rep''. 2019 Jul 29; '''9''' (1):10935
Real-time decoding of question-and-answer speech dialogue using human cortical activity. Description: Moses, David A, et al. Real-time decoding of question-and-answer speech dialogue using human cortical activity. ''Nat Commun''. 2019 Jul 30; '''10''' (1):3096
A 23 gene-based molecular prognostic score precisely predicts overall survival of breast cancer patients. Description: Shimizu, Hideyuki, et al. A 23 gene-based molecular prognostic score precisely predicts overall survival of breast cancer patients. ''EBioMedicine''. 2019 Aug; '''46''': 150-159
A lipophilicity-based energy function for membrane-protein modelling and design. Description: Weinstein, Jonathan Yaacov, et al. A lipophilicity-based energy function for membrane-protein modelling and design. ''PLoS Comput Biol''. 2019 Aug; '''15''' (8):e1007318
Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation. Description: Kitamura, Gene, et al. Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation. ''J Digit Imaging''. 2019 Aug; '''32''' (4):672-677
Dark-matter matters: Discriminating subtle blood cancers using the darkest DNA. Description: Parida, Laxmi, et al. Dark-matter matters: Discriminating subtle blood cancers using the darkest DNA. ''PLoS Comput Biol''. 2019 Aug; '''15''' (8):e1007332
Fine needle aspirates comprehensively sample intrahepatic immunity. Description: Gill, Upkar S, et al. Fine needle aspirates comprehensively sample intrahepatic immunity. ''Gut''. 2019 Aug; '''68''' (8):1493-1503
Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs. Description: Ludwig, Nicole, et al. Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs. ''Genomics Proteomics Bioinformatics''. 2019 Aug; '''17''' (4):430-440
Massive metagenomic data analysis using abundance-based machine learning. Description: Harris, Zachary N, et al. Massive metagenomic data analysis using abundance-based machine learning. ''Biol Direct''. 2019 Aug 1; '''14''' (1):12
Mitochondrial DNA variability of the Polish population. Description: Jarczak, Justyna, et al. Mitochondrial DNA variability of the Polish population. ''Eur J Hum Genet''. 2019 Aug; '''27''' (8):1304-1314
Predicting kinase inhibitors using bioactivity matrix derived informer sets. Description: Zhang, Huikun, et al. Predicting kinase inhibitors using bioactivity matrix derived informer sets. ''PLoS Comput Biol''. 2019 Aug; '''15''' (8):e1006813
Comparison of Target Features for Predicting Drug-Target Interactions by Deep Neural Network Based on Large-Scale Drug-Induced Transcriptome Data. Description: Lee, Hanbi, et al. Comparison of Target Features for Predicting Drug-Target Interactions by Deep Neural Network Based on Large-Scale Drug-Induced Transcriptome Data. ''Pharmaceutics''. 2019 Aug 2; '''11''' (8):
Identifying Smoking Environments From Images of Daily Life With Deep Learning. Description: Engelhard, Matthew M, et al. Identifying Smoking Environments From Images of Daily Life With Deep Learning. ''JAMA Netw Open''. 2019 Aug 2; '''2''' (8):e197939
In silico design and optimization of selective membranolytic anticancer peptides. Description: Gabernet, Gisela, et al. In silico design and optimization of selective membranolytic anticancer peptides. ''Sci Rep''. 2019 Aug 2; '''9''' (1):11282
Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing Methods. Description: Skaljic, Meliha, et al. Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing Methods. ''JAMA Netw Open''. 2019 Aug 2; '''2''' (8):e1910399
Development of a Mouse Pain Scale Using Sub-second Behavioral Mapping and Statistical Modeling. Description: Abdus-Saboor, Ishmail, et al. Development of a Mouse Pain Scale Using Sub-second Behavioral Mapping and Statistical Modeling. ''Cell Rep''. 2019 Aug 6; '''28''' (6):1623-1634.e4
Identification of Primary Antimicrobial Resistance Drivers in Agricultural Nontyphoidal Salmonella enterica Serovars by Using Machine Learning. Description: Maguire, Finlay, et al. Identification of Primary Antimicrobial Resistance Drivers in Agricultural Nontyphoidal Salmonella enterica Serovars by Using Machine Learning. ''mSystems''. 2019 Aug 6; '''4''' (4):
Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering. Description: Suzuki, Yuta, et al. Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering. ''Proc Natl Acad Sci U S A''. 2019 Aug 6; '''116''' (32):15842-15848
A parsimonious approach for screening moderate-to-profound hearing loss in a community-dwelling geriatric population based on a decision tree analysis. Description: Zhang, Min, et al. A parsimonious approach for screening moderate-to-profound hearing loss in a community-dwelling geriatric population based on a decision tree analysis. ''BMC Geriatr''. 2019 Aug 7; '''19''' (1):214
ANO5 mutations in the Polish limb girdle muscular dystrophy patients: Effects on the protein structure. Description: Jarmula, Adam, et al. ANO5 mutations in the Polish limb girdle muscular dystrophy patients: Effects on the protein structure. ''Sci Rep''. 2019 Aug 8; '''9''' (1):11533
Combining structural and bioactivity-based fingerprints improves prediction performance and scaffold hopping capability. Description: Laufkotter, Oliver, et al. Combining structural and bioactivity-based fingerprints improves prediction performance and scaffold hopping capability. ''J Cheminform''. 2019 Aug 8; '''11''' (1):54
Comparison of Two-Talker Attention Decoding from EEG with Nonlinear Neural Networks and Linear Methods. Description: Ciccarelli, Gregory, et al. Comparison of Two-Talker Attention Decoding from EEG with Nonlinear Neural Networks and Linear Methods. ''Sci Rep''. 2019 Aug 8; '''9''' (1):11538
Training machine learning models to predict 30-day mortality in patients discharged from the emergency department: a retrospective, population-based registry study. Description: Blom, Mathias Carl, et al. Training machine learning models to predict 30-day mortality in patients discharged from the emergency department: a retrospective, population-based registry study. ''BMJ Open''. 2019 Aug 10; '''9''' (8):e028015
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning. Description: Makino, Masaki, et al. Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning. ''Sci Rep''. 2019 Aug 14; '''9''' (1):11862
iPromoter-2L2.0: Identifying Promoters and Their Types by Combining Smoothing Cutting Window Algorithm and Sequence-Based Features. Description: Liu, Bin, et al. iPromoter-2L2.0: Identifying Promoters and Their Types by Combining Smoothing Cutting Window Algorithm and Sequence-Based Features. ''Mol Ther Nucleic Acids''. 2019 Aug 14; '''18''': 80-87
Adaptive neural network classifier for decoding MEG signals. Description: Zubarev, Ivan, et al. Adaptive neural network classifier for decoding MEG signals. ''Neuroimage''. 2019 Aug 15; '''197''': 425-434
IVS2vec: A tool of Inverse Virtual Screening based on word2vec and deep learning techniques. Description: Zhang, Haiping, et al. IVS2vec: A tool of Inverse Virtual Screening based on word2vec and deep learning techniques. ''Methods''. 2019 Aug 15; '''166''': 57-65
SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome. Description: Basith, Shaherin, et al. SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome. ''Mol Ther Nucleic Acids''. 2019 Aug 16; '''18''': 131-141
VIST - a Variant-Information Search Tool for precision oncology. Description: Seva, Jurica, et al. VIST - a Variant-Information Search Tool for precision oncology. ''BMC Bioinformatics''. 2019 Aug 16; '''20''' (1):429
A hierarchy of environmental covariates control the global biogeography of soil bacterial richness. Description: Bickel, Samuel, et al. A hierarchy of environmental covariates control the global biogeography of soil bacterial richness. ''Sci Rep''. 2019 Aug 20; '''9''' (1):12129
Antibiotic resistance and metabolic profiles as functional biomarkers that accurately predict the geographic origin of city metagenomics samples. Description: Casimiro-Soriguer, Carlos S, et al. Antibiotic resistance and metabolic profiles as functional biomarkers that accurately predict the geographic origin of city metagenomics samples. ''Biol Direct''. 2019 Aug 20; '''14''' (1):15
Chitosan Films for Microfluidic Studies of Single Bacteria and Perspectives for Antibiotic Susceptibility Testing. Description: Treguier, Julie, et al. Chitosan Films for Microfluidic Studies of Single Bacteria and Perspectives for Antibiotic Susceptibility Testing. ''MBio''. 2019 Aug 20; '''10''' (4):
Evolutionary characteristics of intergenic transcribed regions indicate rare novel genes and widespread noisy transcription in the Poaceae. Description: Lloyd, John P, et al. Evolutionary characteristics of intergenic transcribed regions indicate rare novel genes and widespread noisy transcription in the Poaceae. ''Sci Rep''. 2019 Aug 20; '''9''' (1):12122
Characterization of Behavioral Transitions Through Social Media Analysis: A Mixed-Methods Approach. Description: Singh, Tavleen, et al. Characterization of Behavioral Transitions Through Social Media Analysis: A Mixed-Methods Approach. ''Stud Health Technol Inform''. 2019 Aug 21; '''264''': 1228-1232
Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care. Description: Xu, Zhenxing, et al. Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care. ''Stud Health Technol Inform''. 2019 Aug 21; '''264''': 462-466
Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture? Description: Bartholomeus, Esther, et al. Diagnosing enterovirus meningitis via blood transcriptomics: an alternative for lumbar puncture? ''J Transl Med''. 2019 Aug 23; '''17''' (1):282
Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA. Description: Wan, Nathan, et al. Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA. ''BMC Cancer''. 2019 Aug 23; '''19''' (1):832
Statistical learning attenuates visual activity only for attended stimuli. Description: Richter, David, et al. Statistical learning attenuates visual activity only for attended stimuli. ''Elife''. 2019 Aug 23; '''8''':
Analyzing Learned Molecular Representations for Property Prediction. Description: Yang, Kevin, et al. Analyzing Learned Molecular Representations for Property Prediction. ''J Chem Inf Model''. 2019 Aug 26; '''59''' (8):3370-3388
Reproducibility of CRISPR-Cas9 methods for generation of conditional mouse alleles: a multi-center evaluation. Description: Gurumurthy, Channabasavaiah B, et al. Reproducibility of CRISPR-Cas9 methods for generation of conditional mouse alleles: a multi-center evaluation. ''Genome Biol''. 2019 Aug 26; '''20''' (1):171
Multi-study reanalysis of 2,213 acute myeloid leukemia patients reveals age- and sex-dependent gene expression signatures. Description: Roushangar, Raeuf, et al. Multi-study reanalysis of 2,213 acute myeloid leukemia patients reveals age- and sex-dependent gene expression signatures. ''Sci Rep''. 2019 Aug 27; '''9''' (1):12413
A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell types. Description: Libbrecht, Maxwell W, et al. A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell types. ''Genome Biol''. 2019 Aug 28; '''20''' (1):180
Dissecting genetic factors affecting phenylephrine infusion rates during anesthesia: a genome-wide association study employing EHR data. Description: Zhang, Yanfei, et al. Dissecting genetic factors affecting phenylephrine infusion rates during anesthesia: a genome-wide association study employing EHR data. ''BMC Med''. 2019 Aug 28; '''17''' (1):168
In-house Implementation of Tumor Mutational Burden Testing to Predict Durable Clinical Benefit in Non-small Cell Lung Cancer and Melanoma Patients. Description: Heeke, Simon, et al. In-house Implementation of Tumor Mutational Burden Testing to Predict Durable Clinical Benefit in Non-small Cell Lung Cancer and Melanoma Patients. ''Cancers (Basel)''. 2019 Aug 29; '''11''' (9):
Accurate Classification of Biological and non-Biological Interfaces in Protein Crystal Structures using Subtle Covariation Signals. Description: Fukasawa, Yoshinori, et al. Accurate Classification of Biological and non-Biological Interfaces in Protein Crystal Structures using Subtle Covariation Signals. ''Sci Rep''. 2019 Aug 30; '''9''' (1):12603
Drug response prediction by ensemble learning and drug-induced gene expression signatures. Description: Tan, Mehmet, et al. Drug response prediction by ensemble learning and drug-induced gene expression signatures. ''Genomics''. 2019 Sep; '''111''' (5):1078-1088
Clinical Data Extraction and Normalization of Cyrillic Electronic Health Records Via Deep-Learning Natural Language Processing. Description: Zhao, Boyang. Clinical Data Extraction and Normalization of Cyrillic Electronic Health Records Via Deep-Learning Natural Language Processing. ''JCO Clin Cancer Inform''. 2019 Sep; '''3''': 1-9
Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue. Description: Ma, Yutao, et al. Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue. ''IEEE Trans Biomed Eng''. 2019 Sep; '''66''' (9):2447-2456
Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex. Description: Livezey, Jesse A, et al. Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex. ''PLoS Comput Biol''. 2019 Sep; '''15''' (9):e1007091
Deep learning for stage prediction in neuroblastoma using gene expression data. Description: Park, Aron, et al. Deep learning for stage prediction in neuroblastoma using gene expression data. ''Genomics Inform''. 2019 Sep; '''17''' (3):e30
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data. Description: Yan, Weizheng, et al. Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data. ''EBioMedicine''. 2019 Sep; '''47''': 543-552
Machine learning methods can more efficiently predict prostate cancer compared with prostate-specific antigen density and prostate-specific antigen velocity. Description: Nitta, Satoshi, et al. Machine learning methods can more efficiently predict prostate cancer compared with prostate-specific antigen density and prostate-specific antigen velocity. ''Prostate Int''. 2019 Sep; '''7''' (3):114-118
Niche stiffness underlies the ageing of central nervous system progenitor cells. Description: Segel, Michael, et al. Niche stiffness underlies the ageing of central nervous system progenitor cells. ''Nature''. 2019 Sep; '''573''' (7772):130-134
Parafoveal thinning of inner retina is associated with visual dysfunction in Lewy body diseases. Description: Murueta-Goyena, Ane, et al. Parafoveal thinning of inner retina is associated with visual dysfunction in Lewy body diseases. ''Mov Disord''. 2019 Sep; '''34''' (9):1315-1324
Predicting gene expression in the human malaria parasite Plasmodium falciparum using histone modification, nucleosome positioning, and 3D localization features. Description: Read, David F, et al. Predicting gene expression in the human malaria parasite Plasmodium falciparum using histone modification, nucleosome positioning, and 3D localization features. ''PLoS Comput Biol''. 2019 Sep; '''15''' (9):e1007329
Systematic characterization of BAF mutations provides insights into intracomplex synthetic lethalities in human cancers. Description: Schick, Sandra, et al. Systematic characterization of BAF mutations provides insights into intracomplex synthetic lethalities in human cancers. ''Nat Genet''. 2019 Sep; '''51''' (9):1399-1410
Value of machine learning in predicting TAVI outcomes. Description: Lopes, R R, et al. Value of machine learning in predicting TAVI outcomes. ''Neth Heart J''. 2019 Sep; '''27''' (9):443-450
A dual role of prestimulus spontaneous neural activity in visual object recognition. Description: Podvalny, Ella, et al. A dual role of prestimulus spontaneous neural activity in visual object recognition. ''Nat Commun''. 2019 Sep 2; '''10''' (1):3910
MITRE: inferring features from microbiota time-series data linked to host status. Description: Bogart, Elijah, et al. MITRE: inferring features from microbiota time-series data linked to host status. ''Genome Biol''. 2019 Sep 2; '''20''' (1):186
Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology. Description: Tanigawa, Yosuke, et al. Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology. ''Nat Commun''. 2019 Sep 6; '''10''' (1):4064
Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties. Description: Zhu, Susu, et al. Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties. ''Molecules''. 2019 Sep 7; '''24''' (18):
A comparison of automatic cell identification methods for single-cell RNA sequencing data. Description: Abdelaal, Tamim, et al. A comparison of automatic cell identification methods for single-cell RNA sequencing data. ''Genome Biol''. 2019 Sep 9; '''20''' (1):194
Estimation of Arsenic Content in Soil Based on Laboratory and Field Reflectance Spectroscopy. Description: Wei, Lifei, et al. Estimation of Arsenic Content in Soil Based on Laboratory and Field Reflectance Spectroscopy. ''Sensors (Basel)''. 2019 Sep 10; '''19''' (18):
nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data. Description: Muller, Paul, et al. nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data. ''BMC Bioinformatics''. 2019 Sep 10; '''20''' (1):465
Randomized Lasso Links Microbial Taxa with Aquatic Functional Groups Inferred from Flow Cytometry. Description: Rubbens, Peter, et al. Randomized Lasso Links Microbial Taxa with Aquatic Functional Groups Inferred from Flow Cytometry. ''mSystems''. 2019 Sep 10; '''4''' (5):
Genomic Variation among Strains of Crithidia bombi and C. expoeki. Description: Gerasimov, Evgeny, et al. Genomic Variation among Strains of Crithidia bombi and C. expoeki. ''mSphere''. 2019 Sep 11; '''4''' (5):
Wearable Digital Sensors to Identify Risks of Postpartum Depression and Personalize Psychological Treatment for Adolescent Mothers: Protocol for a Mixed Methods Exploratory Study in Rural Nepal. Description: Poudyal, Anubhuti, et al. Wearable Digital Sensors to Identify Risks of Postpartum Depression and Personalize Psychological Treatment for Adolescent Mothers: Protocol for a Mixed Methods Exploratory Study in Rural Nepal. ''JMIR Res Protoc''. 2019 Sep 11; '''8''' (8):e14734
A Novel Performance Assessment Approach Using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest. Description: Sevgen, Eray, et al. A Novel Performance Assessment Approach Using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest. ''Sensors (Basel)''. 2019 Sep 12; '''19''' (18):
A Tablet-Based App for Carpal Tunnel Syndrome Screening: Diagnostic Case-Control Study. Description: Fujita, Koji, et al. A Tablet-Based App for Carpal Tunnel Syndrome Screening: Diagnostic Case-Control Study. ''JMIR Mhealth Uhealth''. 2019 Sep 13; '''7''' (9):e14172
Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas. Description: Scala, Federico, et al. Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas. ''Nat Commun''. 2019 Sep 13; '''10''' (1):4174
Intra- and Interspecies Variability of Single-Cell Innate Fluorescence Signature of Microbial Cell. Description: Yawata, Yutaka, et al. Intra- and Interspecies Variability of Single-Cell Innate Fluorescence Signature of Microbial Cell. ''Appl Environ Microbiol''. 2019 Sep 15; '''85''' (18):
NCBI's Virus Discovery Hackathon: Engaging Research Communities to Identify Cloud Infrastructure Requirements. Description: Connor, Ryan, et al. NCBI's Virus Discovery Hackathon: Engaging Research Communities to Identify Cloud Infrastructure Requirements. ''Genes (Basel)''. 2019 Sep 16; '''10''' (9):
Machine learning to predict final fire size at the time of ignition. Description: Coffield, Shane R, et al. Machine learning to predict final fire size at the time of ignition. ''Int J Wildland Fire''. 2019 Sep 17; '''28''' (11):861-873
Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning. Description: Wang, Daqi, et al. Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning. ''Nat Commun''. 2019 Sep 19; '''10''' (1):4284
A Modular System for Detection, Tracking and Analysis of Human Faces in Thermal Infrared Recordings. Description: Kopaczka, Marcin, et al. A Modular System for Detection, Tracking and Analysis of Human Faces in Thermal Infrared Recordings. ''Sensors (Basel)''. 2019 Sep 24; '''19''' (19):
An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos. Description: Hu, Jingtao, et al. An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos. ''Sensors (Basel)''. 2019 Sep 24; '''19''' (19):
Data Driven Investigation of Bispectral Index Algorithm. Description: Lee, Hyung-Chul, et al. Data Driven Investigation of Bispectral Index Algorithm. ''Sci Rep''. 2019 Sep 24; '''9''' (1):13769
Multiplexed and high-throughput neuronal fluorescence imaging with diffusible probes. Description: Guo, Syuan-Ming, et al. Multiplexed and high-throughput neuronal fluorescence imaging with diffusible probes. ''Nat Commun''. 2019 Sep 26; '''10''' (1):4377
Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach. Description: Batbaatar, Erdenebileg, et al. Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach. ''Int J Environ Res Public Health''. 2019 Sep 27; '''16''' (19):
Predictions of the mechanical properties of unidirectional fibre composites by supervised machine learning. Description: Pathan, M V, et al. Predictions of the mechanical properties of unidirectional fibre composites by supervised machine learning. ''Sci Rep''. 2019 Sep 27; '''9''' (1):13964
A deep neural network model for packing density predictions and its application in the study of 1.5 million organic molecules. Description: Afzal, Mohammad Atif Faiz, et al. A deep neural network model for packing density predictions and its application in the study of 1.5 million organic molecules. ''Chem Sci''. 2019 Sep 28; '''10''' (36):8374-8383
Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction Reliability. Description: Wilm, Anke, et al. Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction Reliability. ''Int J Mol Sci''. 2019 Sep 28; '''20''' (19):
Multivariate Comparison of Cytokine Profiles for Normal- and Low-Bone-Density Subjects. Description: Dingle, Kamaludin, et al. Multivariate Comparison of Cytokine Profiles for Normal- and Low-Bone-Density Subjects. ''Diagnostics (Basel)''. 2019 Sep 30; '''9''' (4):
Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library. Description: Matsuzaka, Yasunari, et al. Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library. ''Int J Mol Sci''. 2019 Sep 30; '''20''' (19):
Sequence determinants of polyadenylation-mediated regulation. Description: Vainberg Slutskin, Ilya, et al. Sequence determinants of polyadenylation-mediated regulation. ''Genome Res''. 2019 Oct; '''29''' (10):1635-1647
Ancestral reconstruction of protein interaction networks. Description: Liebeskind, Benjamin J, et al. Ancestral reconstruction of protein interaction networks. ''PLoS Comput Biol''. 2019 Oct; '''15''' (10):e1007396
Categorical encoding of decision variables in orbitofrontal cortex. Description: Onken, Arno, et al. Categorical encoding of decision variables in orbitofrontal cortex. ''PLoS Comput Biol''. 2019 Oct; '''15''' (10):e1006667
Machine learning in secondary progressive multiple sclerosis: an improved predictive model for short-term disability progression. Description: Law, Marco Tk, et al. Machine learning in secondary progressive multiple sclerosis: an improved predictive model for short-term disability progression. ''Mult Scler J Exp Transl Clin''. 2019 Oct-Dec; '''5''' (4):2055217319885983
Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis. Description: Arnol, Damien, et al. Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis. ''Cell Rep''. 2019 Oct 1; '''29''' (1):202-211.e6
Paralog buffering contributes to the variable essentiality of genes in cancer cell lines. Description: De Kegel, Barbara, et al. Paralog buffering contributes to the variable essentiality of genes in cancer cell lines. ''PLoS Genet''. 2019 Oct; '''15''' (10):e1008466
Predicting weaning difficulty for planned extubation patients with an artificial neural network. Description: Hsieh, Meng Hsuen, et al. Predicting weaning difficulty for planned extubation patients with an artificial neural network. ''Medicine (Baltimore)''. 2019 Oct; '''98''' (40):e17392
Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study. Description: Kolossvary, Marton, et al. Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study. ''Radiology''. 2019 Oct; '''293''' (1):89-96
Sepsis surveillance: an examination of parameter sensitivity and alert reliability. Description: Amland, Robert C, et al. Sepsis surveillance: an examination of parameter sensitivity and alert reliability. ''JAMIA Open''. 2019 Oct; '''2''' (3):339-345
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. Description: Gomez-Verdejo, Vanessa, et al. Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. ''Neuroinformatics''. 2019 Oct; '''17''' (4):593-609
Tournament leave-pair-out cross-validation for receiver operating characteristic analysis. Description: Montoya Perez, Ileana, et al. Tournament leave-pair-out cross-validation for receiver operating characteristic analysis. ''Stat Methods Med Res''. 2019 Oct-Nov; '''28''' (10-11):2975-2991
DNA Methylation Markers for Pan-Cancer Prediction by Deep Learning. Description: Liu, Biao, et al. DNA Methylation Markers for Pan-Cancer Prediction by Deep Learning. ''Genes (Basel)''. 2019 Oct 4; '''10''' (10):
Artificial intelligence reveals environmental constraints on colour diversity in insects. Description: Wu, Shipher, et al. Artificial intelligence reveals environmental constraints on colour diversity in insects. ''Nat Commun''. 2019 Oct 7; '''10''' (1):4554
Joint inference and alignment of genome structures enables characterization of compartment-independent reorganization across cell types. Description: Rieber, Lila, et al. Joint inference and alignment of genome structures enables characterization of compartment-independent reorganization across cell types. ''Epigenetics Chromatin''. 2019 Oct 8; '''12''' (1):61
Machine Learning for LTE Energy Detection Performance Improvement. Description: Wasilewska, Malgorzata, et al. Machine Learning for LTE Energy Detection Performance Improvement. ''Sensors (Basel)''. 2019 Oct 8; '''19''' (19):
Liking Product Landscape: Going Deeper into Understanding Consumers' Hedonic Evaluations. Description: Sanchez, Claudia N, et al. Liking Product Landscape: Going Deeper into Understanding Consumers' Hedonic Evaluations. ''Foods''. 2019 Oct 9; '''8''' (10):
A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study. Description: Peine, Arne, et al. A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study. ''JMIR Med Inform''. 2019 Oct 10; '''7''' (4):e14806
A deep learning genome-mining strategy for biosynthetic gene cluster prediction. Description: Hannigan, Geoffrey D, et al. A deep learning genome-mining strategy for biosynthetic gene cluster prediction. ''Nucleic Acids Res''. 2019 Oct 10; '''47''' (18):e110
Animal Movement Prediction Based on Predictive Recurrent Neural Network. Description: Rew, Jehyeok, et al. Animal Movement Prediction Based on Predictive Recurrent Neural Network. ''Sensors (Basel)''. 2019 Oct 11; '''19''' (20):
Inference of transcription factor binding from cell-free DNA enables tumor subtype prediction and early detection. Description: Ulz, Peter, et al. Inference of transcription factor binding from cell-free DNA enables tumor subtype prediction and early detection. ''Nat Commun''. 2019 Oct 11; '''10''' (1):4666
Species abundance information improves sequence taxonomy classification accuracy. Description: Kaehler, Benjamin D, et al. Species abundance information improves sequence taxonomy classification accuracy. ''Nat Commun''. 2019 Oct 11; '''10''' (1):4643
Identification of Key Genes for the Precise Classification between Solenopsis invicta and S. geminata Facilitating the Quarantine Process. Description: Kim, Kil-Hyun, et al. Identification of Key Genes for the Precise Classification between Solenopsis invicta and S. geminata Facilitating the Quarantine Process. ''Genes (Basel)''. 2019 Oct 15; '''10''' (10):
Text-mined dataset of inorganic materials synthesis recipes. Description: Kononova, Olga, et al. Text-mined dataset of inorganic materials synthesis recipes. ''Sci Data''. 2019 Oct 15; '''6''' (1):203
Approach and assessment of automated stereotactic radiotherapy planning for early stage non-small-cell lung cancer. Description: Bai, Xue, et al. Approach and assessment of automated stereotactic radiotherapy planning for early stage non-small-cell lung cancer. ''Biomed Eng Online''. 2019 Oct 16; '''18''' (1):101
A Super-Learner Model for Tumor Motion Prediction and Management in Radiation Therapy: Development and Feasibility Evaluation. Description: Lin, Hui, et al. A Super-Learner Model for Tumor Motion Prediction and Management in Radiation Therapy: Development and Feasibility Evaluation. ''Sci Rep''. 2019 Oct 16; '''9''' (1):14868
Depression and suicide risk prediction models using blood-derived multi-omics data. Description: Bhak, Youngjune, et al. Depression and suicide risk prediction models using blood-derived multi-omics data. ''Transl Psychiatry''. 2019 Oct 17; '''9''' (1):262
DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data. Description: Arisdakessian, Cedric, et al. DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data. ''Genome Biol''. 2019 Oct 18; '''20''' (1):211
Hierarchical Classification of Urban ALS Data by Using Geometry and Intensity Information. Description: Liu, Xiaoqiang, et al. Hierarchical Classification of Urban ALS Data by Using Geometry and Intensity Information. ''Sensors (Basel)''. 2019 Oct 21; '''19''' (20):
Local redox conditions in cells imaged via non-fluorescent transient states of NAD(P)H. Description: Tornmalm, Johan, et al. Local redox conditions in cells imaged via non-fluorescent transient states of NAD(P)H. ''Sci Rep''. 2019 Oct 21; '''9''' (1):15070
Deregulated Adhesion Program in Palatal Keratinocytes of Orofacial Cleft Patients. Description: Mammadova, Aysel, et al. Deregulated Adhesion Program in Palatal Keratinocytes of Orofacial Cleft Patients. ''Genes (Basel)''. 2019 Oct 23; '''10''' (11):
Identification of Bicycling Periods Using the MicroPEM Personal Exposure Monitor. Description: Chew, Robert, et al. Identification of Bicycling Periods Using the MicroPEM Personal Exposure Monitor. ''Sensors (Basel)''. 2019 Oct 23; '''19''' (21):
Predicting Materials Properties with Little Data Using Shotgun Transfer Learning. Description: Yamada, Hironao, et al. Predicting Materials Properties with Little Data Using Shotgun Transfer Learning. ''ACS Cent Sci''. 2019 Oct 23; '''5''' (10):1717-1730
An Association of Gut Microbiota with Different Phenotypes in Chinese Patients with Rheumatoid Arthritis. Description: Chiang, Hsin-I, et al. An Association of Gut Microbiota with Different Phenotypes in Chinese Patients with Rheumatoid Arthritis. ''J Clin Med''. 2019 Oct 24; '''8''' (11):
Prophages and satellite prophages are widespread in Streptococcus and may play a role in pneumococcal pathogenesis. Description: Rezaei Javan, Reza, et al. Prophages and satellite prophages are widespread in Streptococcus and may play a role in pneumococcal pathogenesis. ''Nat Commun''. 2019 Oct 24; '''10''' (1):4852
Chemical Patterns of Proteasome Inhibitors: Lessons Learned from Two Decades of Drug Design. Description: Guedes, Romina A, et al. Chemical Patterns of Proteasome Inhibitors: Lessons Learned from Two Decades of Drug Design. ''Int J Mol Sci''. 2019 Oct 25; '''20''' (21):
4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N(4)-methylcytosine Sites in the Mouse Genome. Description: Manavalan, Balachandran, et al. 4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N(4)-methylcytosine Sites in the Mouse Genome. ''Cells''. 2019 Oct 28; '''8''' (11):
Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests. Description: Meyer, Jesse G, et al. Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests. ''J Chem Inf Model''. 2019 Oct 28; '''59''' (10):4438-4449
PCAViz: An Open-Source Python/JavaScript Toolkit for Visualizing Molecular Dynamics Simulations in the Web Browser. Description: Pacheco, Sayuri, et al. PCAViz: An Open-Source Python/JavaScript Toolkit for Visualizing Molecular Dynamics Simulations in the Web Browser. ''J Chem Inf Model''. 2019 Oct 28; '''59''' (10):4087-4092
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction. Description: Lee, Hyunkwang, et al. Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction. ''Sci Rep''. 2019 Oct 29; '''9''' (1):15540
Uncovering extensive post-translation regulation during human cell cycle progression by integrative multi-'omics analysis. Description: Parkes, Gregory M, et al. Uncovering extensive post-translation regulation during human cell cycle progression by integrative multi-'omics analysis. ''BMC Bioinformatics''. 2019 Oct 29; '''20''' (1):536
Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach. Description: Spasic, Irena, et al. Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach. ''JMIR Med Inform''. 2019 Oct 31; '''7''' (4):e15980
Discovery of Human Signaling Systems: Pairing Peptides to G Protein-Coupled Receptors. Description: Foster, Simon R, et al. Discovery of Human Signaling Systems: Pairing Peptides to G Protein-Coupled Receptors. ''Cell''. 2019 Oct 31; '''179''' (4):895-908.e21
Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record-Based Computable Phenotype Derivation and Validation Study. Description: Chartash, David, et al. Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record-Based Computable Phenotype Derivation and Validation Study. ''JMIR Med Inform''. 2019 Oct 31; '''7''' (4):e15794
Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma. Description: Clark, David J, et al. Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma. ''Cell''. 2019 Oct 31; '''179''' (4):964-983.e31
MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks. Description: Yamabe, Masato, et al. MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks. ''Sci Rep''. 2019 Oct 31; '''9''' (1):15793
Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study. Description: Marcon, Magda, et al. Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study. ''Eur Radiol Exp''. 2019 Nov 1; '''3''' (1):44
Differential Adaptation in Azimuth and Elevation to Acute Monaural Spatial Hearing after Training with Visual Feedback. Description: Zonooz, Bahram, et al. Differential Adaptation in Azimuth and Elevation to Acute Monaural Spatial Hearing after Training with Visual Feedback. ''eNeuro''. 2019 Nov/Dec; '''6''' (6):
Identification of invasive and radionuclide imaging markers of coronary plaque vulnerability using radiomic analysis of coronary computed tomography angiography. Description: Kolossvary, Marton, et al. Identification of invasive and radionuclide imaging markers of coronary plaque vulnerability using radiomic analysis of coronary computed tomography angiography. ''Eur Heart J Cardiovasc Imaging''. 2019 Nov 1; '''20''' (11):1250-1258
Modeling other minds: Bayesian inference explains human choices in group decision-making. Description: Khalvati, Koosha, et al. Modeling other minds: Bayesian inference explains human choices in group decision-making. ''Sci Adv''. 2019 Nov; '''5''' (11):eaax8783
Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network. Description: Ye, Hai, et al. Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network. ''Eur Radiol''. 2019 Nov; '''29''' (11):6191-6201
SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance. Description: Kim, Hui Kwon, et al. SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance. ''Sci Adv''. 2019 Nov; '''5''' (11):eaax9249
The impact of antimicrobials on gonococcal evolution. Description: Sanchez-Buso, Leonor, et al. The impact of antimicrobials on gonococcal evolution. ''Nat Microbiol''. 2019 Nov; '''4''' (11):1941-1950
UMAP reveals cryptic population structure and phenotype heterogeneity in large genomic cohorts. Description: Diaz-Papkovich, Alex, et al. UMAP reveals cryptic population structure and phenotype heterogeneity in large genomic cohorts. ''PLoS Genet''. 2019 Nov; '''15''' (11):e1008432
ProTstab - predictor for cellular protein stability. Description: Yang, Yang, et al. ProTstab - predictor for cellular protein stability. ''BMC Genomics''. 2019 Nov 4; '''20''' (1):804
Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits. Description: Azodi, Christina B, et al. Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits. ''G3 (Bethesda)''. 2019 Nov 5; '''9''' (11):3691-3702
Fall Risk Prediction in Multiple Sclerosis Using Postural Sway Measures: A Machine Learning Approach. Description: Sun, Ruopeng, et al. Fall Risk Prediction in Multiple Sclerosis Using Postural Sway Measures: A Machine Learning Approach. ''Sci Rep''. 2019 Nov 6; '''9''' (1):16154
Metabolomics Test Materials for Quality Control: A Study of a Urine Materials Suite. Description: Bearden, Daniel W, et al. Metabolomics Test Materials for Quality Control: A Study of a Urine Materials Suite. ''Metabolites''. 2019 Nov 7; '''9''' (11):
Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study. Description: Jin, Yonghao, et al. Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study. ''JMIR Med Inform''. 2019 Nov 8; '''7''' (4):e14340
Correlation between Nuclear Morphology and Adipogenic Differentiation: Application of a Combined Experimental and Computational Modeling Approach. Description: McColloch, Andrew, et al. Correlation between Nuclear Morphology and Adipogenic Differentiation: Application of a Combined Experimental and Computational Modeling Approach. ''Sci Rep''. 2019 Nov 8; '''9''' (1):16381
The Performance of Different Artificial Intelligence Models in Predicting Breast Cancer among Individuals Having Type 2 Diabetes Mellitus. Description: Hsieh, Meng-Hsuen, et al. The Performance of Different Artificial Intelligence Models in Predicting Breast Cancer among Individuals Having Type 2 Diabetes Mellitus. ''Cancers (Basel)''. 2019 Nov 8; '''11''' (11):
A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia. Description: Shahabi, Hejar, et al. A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia. ''Sensors (Basel)''. 2019 Nov 9; '''19''' (22):
Decreased plasma phospholipid concentrations and increased acid sphingomyelinase activity are accurate biomarkers for community-acquired pneumonia. Description: Arshad, Haroon, et al. Decreased plasma phospholipid concentrations and increased acid sphingomyelinase activity are accurate biomarkers for community-acquired pneumonia. ''J Transl Med''. 2019 Nov 11; '''17''' (1):365
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome. Description: Azarkhalili, Behrooz, et al. DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome. ''Sci Rep''. 2019 Nov 11; '''9''' (1):16526
Differentiation of multiple system atrophy from Parkinson's disease by structural connectivity derived from probabilistic tractography. Description: Abos, Alexandra, et al. Differentiation of multiple system atrophy from Parkinson's disease by structural connectivity derived from probabilistic tractography. ''Sci Rep''. 2019 Nov 11; '''9''' (1):16488
Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach. Description: Cearns, Micah, et al. Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach. ''Transl Psychiatry''. 2019 Nov 11; '''9''' (1):285
Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes. Description: Arguello-Casteleiro, Mercedes, et al. Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes. ''J Biomed Semantics''. 2019 Nov 12; '''10''' (Suppl 1):22
Mapping the perturbome network of cellular perturbations. Description: Caldera, Michael, et al. Mapping the perturbome network of cellular perturbations. ''Nat Commun''. 2019 Nov 13; '''10''' (1):5140
A New Look at the Structures of Old Sepsis Actors by Exploratory Data Analysis Tools. Description: Gnoni, Antonio, et al. A New Look at the Structures of Old Sepsis Actors by Exploratory Data Analysis Tools. ''Antibiotics (Basel)''. 2019 Nov 14; '''8''' (4):
Evaluating nanopore sequencing data processing pipelines for structural variation identification. Description: Zhou, Anbo, et al. Evaluating nanopore sequencing data processing pipelines for structural variation identification. ''Genome Biol''. 2019 Nov 14; '''20''' (1):237
Integrated Counts of Carbohydrate-Active Protein Domains as Metabolic Readouts to Distinguish Probiotic Biology and Human Fecal Metagenomes. Description: Liu, Hong-Hsing, et al. Integrated Counts of Carbohydrate-Active Protein Domains as Metabolic Readouts to Distinguish Probiotic Biology and Human Fecal Metagenomes. ''Sci Rep''. 2019 Nov 14; '''9''' (1):16836
Distinct functional roles of the mirror neuron system and the mentalizing system. Description: Geiger, Alexander, et al. Distinct functional roles of the mirror neuron system and the mentalizing system. ''Neuroimage''. 2019 Nov 15; '''202''': 116102
Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysis. Description: Raimondi, Daniele, et al. Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysis. ''Sci Rep''. 2019 Nov 15; '''9''' (1):16932
Machine Learning to Quantitate Neutrophil NETosis. Description: Elsherif, Laila, et al. Machine Learning to Quantitate Neutrophil NETosis. ''Sci Rep''. 2019 Nov 15; '''9''' (1):16891
A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors. Description: Dehghani, Akbar, et al. A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors. ''Sensors (Basel)''. 2019 Nov 18; '''19''' (22):
Assessment of computational methods for the analysis of single-cell ATAC-seq data. Description: Chen, Huidong, et al. Assessment of computational methods for the analysis of single-cell ATAC-seq data. ''Genome Biol''. 2019 Nov 18; '''20''' (1):241
BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning approaches. Description: Liu, Bin, et al. BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning approaches. ''Nucleic Acids Res''. 2019 Nov 18; '''47''' (20):e127
A novel framework for horizontal and vertical data integration in cancer studies with application to survival time prediction models. Description: Mihaylov, Iliyan, et al. A novel framework for horizontal and vertical data integration in cancer studies with application to survival time prediction models. ''Biol Direct''. 2019 Nov 21; '''14''' (1):22
Feature selection with the Fisher score followed by the Maximal Clique Centrality algorithm can accurately identify the hub genes of hepatocellular carcinoma. Description: Li, Chengzhang, et al. Feature selection with the Fisher score followed by the Maximal Clique Centrality algorithm can accurately identify the hub genes of hepatocellular carcinoma. ''Sci Rep''. 2019 Nov 21; '''9''' (1):17283
Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data. Description: Kang, Min Ju, et al. Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data. ''BMC Med Inform Decis Mak''. 2019 Nov 21; '''19''' (1):231
Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson's Disease: A Comprehensive Machine Learning Approach. Description: Rehman, Rana Zia Ur, et al. Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson's Disease: A Comprehensive Machine Learning Approach. ''Sci Rep''. 2019 Nov 21; '''9''' (1):17269
Evidence for confounding eye movements under attempted fixation and active viewing in cognitive neuroscience. Description: Thielen, Jordy, et al. Evidence for confounding eye movements under attempted fixation and active viewing in cognitive neuroscience. ''Sci Rep''. 2019 Nov 25; '''9''' (1):17456
Elements of a stochastic 3D prediction engine in larval zebrafish prey capture. Description: Bolton, Andrew D, et al. Elements of a stochastic 3D prediction engine in larval zebrafish prey capture. ''Elife''. 2019 Nov 26; '''8''':
Non-Destructive Soluble Solids Content Determination for 'Rocha' Pear Based on VIS-SWNIR Spectroscopy under 'Real World' Sorting Facility Conditions. Description: Passos, Dario, et al. Non-Destructive Soluble Solids Content Determination for 'Rocha' Pear Based on VIS-SWNIR Spectroscopy under 'Real World' Sorting Facility Conditions. ''Sensors (Basel)''. 2019 Nov 26; '''19''' (23):
Bayesian Inference of Allelic Inclusion Rates in the Human T Cell Receptor Repertoire. Description: Carter, Jason A, et al. Bayesian Inference of Allelic Inclusion Rates in the Human T Cell Receptor Repertoire. ''Cell Syst''. 2019 Nov 27; '''9''' (5):475-482.e4
Machine learning-based dynamic mortality prediction after traumatic brain injury. Description: Raj, Rahul, et al. Machine learning-based dynamic mortality prediction after traumatic brain injury. ''Sci Rep''. 2019 Nov 27; '''9''' (1):17672
Characterization of genetic subclonal evolution in pancreatic cancer mouse models. Description: Niknafs, Noushin, et al. Characterization of genetic subclonal evolution in pancreatic cancer mouse models. ''Nat Commun''. 2019 Nov 28; '''10''' (1):5435
The art of using t-SNE for single-cell transcriptomics. Description: Kobak, Dmitry, et al. The art of using t-SNE for single-cell transcriptomics. ''Nat Commun''. 2019 Nov 28; '''10''' (1):5416
ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning. Description: Ruiz-Reche, Angel, et al. ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning. ''Genome Biol''. 2019 Nov 29; '''20''' (1):260
Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade. Description: Shu, Jun, et al. Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade. ''Eur J Radiol''. 2019 Dec; '''121''': 108738
Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade Gliomas. Description: Jiang, Chendan, et al. Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade Gliomas. ''Eur J Radiol''. 2019 Dec; '''121''': 108714
ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest. Description: Li, Jiajin, et al. ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest. ''PLoS Comput Biol''. 2019 Dec; '''15''' (12):e1007556
Impact framework: A python package for writing data analysis workflows to interpret microbial physiology. Description: Venayak, Naveen, et al. Impact framework: A python package for writing data analysis workflows to interpret microbial physiology. ''Metab Eng Commun''. 2019 Dec; '''9''': e00089
Necrotizing enterocolitis is preceded by increased gut bacterial replication, Klebsiella, and fimbriae-encoding bacteria. Description: Olm, Matthew R, et al. Necrotizing enterocolitis is preceded by increased gut bacterial replication, Klebsiella, and fimbriae-encoding bacteria. ''Sci Adv''. 2019 Dec; '''5''' (12):eaax5727
Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study. Description: Wu, Qingxia, et al. Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study. ''EBioMedicine''. 2019 Dec; '''50''': 355-365
DNA methylation in AgRP neurons regulates voluntary exercise behavior in mice. Description: MacKay, Harry, et al. DNA methylation in AgRP neurons regulates voluntary exercise behavior in mice. ''Nat Commun''. 2019 Dec 2; '''10''' (1):5364
Glycolysis gene expression profilings screen for prognostic risk signature of hepatocellular carcinoma. Description: Jiang, Longyang, et al. Glycolysis gene expression profilings screen for prognostic risk signature of hepatocellular carcinoma. ''Aging (Albany NY)''. 2019 Dec 2; '''11''' (23):10861-10882
Phylogenomics of 10,575 genomes reveals evolutionary proximity between domains Bacteria and Archaea. Description: Zhu, Qiyun, et al. Phylogenomics of 10,575 genomes reveals evolutionary proximity between domains Bacteria and Archaea. ''Nat Commun''. 2019 Dec 2; '''10''' (1):5477
Risk Stratification for Postoperative Acute Kidney Injury in Major Noncardiac Surgery Using Preoperative and Intraoperative Data. Description: Lei, Victor J, et al. Risk Stratification for Postoperative Acute Kidney Injury in Major Noncardiac Surgery Using Preoperative and Intraoperative Data. ''JAMA Netw Open''. 2019 Dec 2; '''2''' (12):e1916921
One-year changes in brain microstructure differentiate preclinical Huntington's disease stages. Description: Pflanz, Chris Patrick, et al. One-year changes in brain microstructure differentiate preclinical Huntington's disease stages. ''Neuroimage Clin''. 2019 Dec 3; '''25''': 102099
Text-mining clinically relevant cancer biomarkers for curation into the CIViC database. Description: Lever, Jake, et al. Text-mining clinically relevant cancer biomarkers for curation into the CIViC database. ''Genome Med''. 2019 Dec 3; '''11''' (1):78
Chronic Stress Induces Activity, Synaptic, and Transcriptional Remodeling of the Lateral Habenula Associated with Deficits in Motivated Behaviors. Description: Cerniauskas, Ignas, et al. Chronic Stress Induces Activity, Synaptic, and Transcriptional Remodeling of the Lateral Habenula Associated with Deficits in Motivated Behaviors. ''Neuron''. 2019 Dec 4; '''104''' (5):899-915.e8
Immune repertoire fingerprinting by principal component analysis reveals shared features in subject groups with common exposures. Description: Sevy, Alexander M, et al. Immune repertoire fingerprinting by principal component analysis reveals shared features in subject groups with common exposures. ''BMC Bioinformatics''. 2019 Dec 4; '''20''' (1):629
The Escherichia coli transcriptome mostly consists of independently regulated modules. Description: Sastry, Anand V, et al. The Escherichia coli transcriptome mostly consists of independently regulated modules. ''Nat Commun''. 2019 Dec 4; '''10''' (1):5536
Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease. Description: Rehman, Rana Zia Ur, et al. Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease. ''Sensors (Basel)''. 2019 Dec 5; '''19''' (24):
Epidemiological pathology of Abeta deposition in the ageing brain in CFAS: addition of multiple Abeta-derived measures does not improve dementia assessment using logistic regression and machine learning approaches. Description: Wharton, S B, et al. Epidemiological pathology of Abeta deposition in the ageing brain in CFAS: addition of multiple Abeta-derived measures does not improve dementia assessment using logistic regression and machine learning approaches. ''Acta Neuropathol Commun''. 2019 Dec 5; '''7''' (1):198
Predicting Long-Term Health-Related Quality of Life after Bariatric Surgery Using a Conventional Neural Network: A Study Based on the Scandinavian Obesity Surgery Registry. Description: Cao, Yang, et al. Predicting Long-Term Health-Related Quality of Life after Bariatric Surgery Using a Conventional Neural Network: A Study Based on the Scandinavian Obesity Surgery Registry. ''J Clin Med''. 2019 Dec 5; '''8''' (12):
tRNA functional signatures classify plastids as late-branching cyanobacteria. Description: Lawrence, Travis J, et al. tRNA functional signatures classify plastids as late-branching cyanobacteria. ''BMC Evol Biol''. 2019 Dec 9; '''19''' (1):224
Deciphering essential cistromes using genome-wide CRISPR screens. Description: Fei, Teng, et al. Deciphering essential cistromes using genome-wide CRISPR screens. ''Proc Natl Acad Sci U S A''. 2019 Dec 10; '''116''' (50):25186-25195
Finnish Parkinson's disease study integrating protein-protein interaction network data with exome sequencing analysis. Description: Siitonen, Ari, et al. Finnish Parkinson's disease study integrating protein-protein interaction network data with exome sequencing analysis. ''Sci Rep''. 2019 Dec 11; '''9''' (1):18865
A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients. Description: Joo, Minjae, et al. A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients. ''Int J Mol Sci''. 2019 Dec 12; '''20''' (24):
Prediction of Colon Cancer Stages and Survival Period with Machine Learning Approach. Description: Gupta, Pushpanjali, et al. Prediction of Colon Cancer Stages and Survival Period with Machine Learning Approach. ''Cancers (Basel)''. 2019 Dec 12; '''11''' (12):
Multiple Compounds Recognition from The Tandem Mass Spectral Data Using Convolutional Neural Network. Description: Lv, Jiali, et al. Multiple Compounds Recognition from The Tandem Mass Spectral Data Using Convolutional Neural Network. ''Molecules''. 2019 Dec 15; '''24''' (24):
Rumen Bacteria and Serum Metabolites Predictive of Feed Efficiency Phenotypes in Beef Cattle. Description: Clemmons, Brooke A, et al. Rumen Bacteria and Serum Metabolites Predictive of Feed Efficiency Phenotypes in Beef Cattle. ''Sci Rep''. 2019 Dec 17; '''9''' (1):19265
Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings. Description: Celebi, Remzi, et al. Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings. ''BMC Bioinformatics''. 2019 Dec 18; '''20''' (1):726
OutCyte: a novel tool for predicting unconventional protein secretion. Description: Zhao, Linlin, et al. OutCyte: a novel tool for predicting unconventional protein secretion. ''Sci Rep''. 2019 Dec 19; '''9''' (1):19448
Physical Workload Tracking Using Human Activity Recognition with Wearable Devices. Description: Manjarres, Jose, et al. Physical Workload Tracking Using Human Activity Recognition with Wearable Devices. ''Sensors (Basel)''. 2019 Dec 19; '''20''' (1):
Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis. Description: Nakamoto, Takahiro, et al. Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis. ''Sci Rep''. 2019 Dec 19; '''9''' (1):19411
Improved cell composition deconvolution method of bulk gene expression profiles to quantify subsets of immune cells. Description: Chiu, Yen-Jung, et al. Improved cell composition deconvolution method of bulk gene expression profiles to quantify subsets of immune cells. ''BMC Med Genomics''. 2019 Dec 20; '''12''' (Suppl 8):169
Emergence of the Affect from the Variation in the Whole-Brain Flow of Information. Description: Keshmiri, Soheil, et al. Emergence of the Affect from the Variation in the Whole-Brain Flow of Information. ''Brain Sci''. 2019 Dec 21; '''10''' (1):
Arterial spin labeling versus (18)F-FDG-PET to identify mild cognitive impairment. Description: Dolui, Sudipto, et al. Arterial spin labeling versus (18)F-FDG-PET to identify mild cognitive impairment. ''Neuroimage Clin''. 2019 Dec 23; '''25''': 102146
Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network. Description: Xiao, Qingxin, et al. Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network. ''BMC Bioinformatics''. 2019 Dec 24; '''20''' (Suppl 25):688
Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device. Description: Walch, Olivia, et al. Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device. ''Sleep''. 2019 Dec 24; '''42''' (12):
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. Description: Tiulpin, Aleksei, et al. Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. ''Sci Rep''. 2019 Dec 27; '''9''' (1):20038
Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces. Description: Zheng, Yi, et al. Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces. ''BMC Bioinformatics''. 2019 Dec 27; '''20''' (Suppl 23):605
A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition. Description: Mustaqeem, et al. A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition. ''Sensors (Basel)''. 2019 Dec 28; '''20''' (1):
Deep analysis and optimization of CARD antibiotic resistance gene discovery models. Description: Yao, Haobin, et al. Deep analysis and optimization of CARD antibiotic resistance gene discovery models. ''BMC Genomics''. 2019 Dec 30; '''20''' (Suppl 10):914
Investigating the role of super-enhancer RNAs underlying embryonic stem cell differentiation. Description: Chang, Hao-Chun, et al. Investigating the role of super-enhancer RNAs underlying embryonic stem cell differentiation. ''BMC Genomics''. 2019 Dec 30; '''20''' (Suppl 10):896
Toward a Robust, Universal Predictor of Gas Hydrate Equilibria by Means of a Deep Learning Regression. Description: Landgrebe, Michael K B, et al. Toward a Robust, Universal Predictor of Gas Hydrate Equilibria by Means of a Deep Learning Regression. ''ACS Omega''. 2019 Dec 31; '''4''' (27):22399-22417
Abnormal Sleep Signals Vulnerability to Chronic Social Defeat Stress. Description: Radwan, Basma, et al. Abnormal Sleep Signals Vulnerability to Chronic Social Defeat Stress. ''Front Neurosci''. 2020; '''14''': 610655
Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors. Description: Ahmed, Sajid, et al. Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors. ''Comput Struct Biotechnol J''. 2020; '''18''': 3528-3538
Accurate spatiotemporal mapping of drug overdose deaths by machine learning of drug-related web-searches. Description: Campo, David S, et al. Accurate spatiotemporal mapping of drug overdose deaths by machine learning of drug-related web-searches. ''PLoS One''. 2020; '''15''' (12):e0243622
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data. Description: Tabares-Soto, Reinel, et al. A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data. ''PeerJ Comput Sci''. 2020; '''6''': e270
Activity-Dependent Remodeling of Synaptic Protein Organization Revealed by High Throughput Analysis of STED Nanoscopy Images. Description: Wiesner, Theresa, et al. Activity-Dependent Remodeling of Synaptic Protein Organization Revealed by High Throughput Analysis of STED Nanoscopy Images. ''Front Neural Circuits''. 2020; '''14''': 57
A Decision-Making Supporting Prediction Method for Breast Cancer Neoadjuvant Chemotherapy. Description: Song, Dong, et al. A Decision-Making Supporting Prediction Method for Breast Cancer Neoadjuvant Chemotherapy. ''Front Oncol''. 2020; '''10''': 592556
Altered kinetics of circulating progenitor cells in cardiopulmonary bypass (CPB) associated vasoplegic patients: A pilot study. Description: Nandi, Sanhita, et al. Altered kinetics of circulating progenitor cells in cardiopulmonary bypass (CPB) associated vasoplegic patients: A pilot study. ''PLoS One''. 2020; '''15''' (11):e0242375
A Machine Learning Based Dose Prediction of Lutein Supplements for Individuals With Eye Fatigue. Description: Kan, Juntao, et al. A Machine Learning Based Dose Prediction of Lutein Supplements for Individuals With Eye Fatigue. ''Front Nutr''. 2020; '''7''': 577923
Analysing Head-Thorax Choreography During Free-Flights in Bumblebees. Description: Odenthal, Luise, et al. Analysing Head-Thorax Choreography During Free-Flights in Bumblebees. ''Front Behav Neurosci''. 2020; '''14''': 610029
An electronic nose using a single graphene FET and machine learning for water, methanol, and ethanol. Description: Hayasaka, Takeshi, et al. An electronic nose using a single graphene FET and machine learning for water, methanol, and ethanol. ''Microsyst Nanoeng''. 2020; '''6''': 50
An Immune-Related Gene Panel for Preoperative Lymph Node Status Evaluation in Advanced Gastric Cancer. Description: Yang, Yuan, et al. An Immune-Related Gene Panel for Preoperative Lymph Node Status Evaluation in Advanced Gastric Cancer. ''Biomed Res Int''. 2020; '''2020''': 8450656
An Integrative Computational Approach for the Prediction of Human-Plasmodium Protein-Protein Interactions. Description: Ghedira, Kais, et al. An Integrative Computational Approach for the Prediction of Human-Plasmodium Protein-Protein Interactions. ''Biomed Res Int''. 2020; '''2020''': 2082540
An Interpretable Predictive Model of Vaccine Utilization for Tanzania. Description: Hariharan, Ramkumar, et al. An Interpretable Predictive Model of Vaccine Utilization for Tanzania. ''Front Artif Intell''. 2020; '''3''': 559617
Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation. Description: Vaiyapuri, Thavavel, et al. Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation. ''PeerJ Comput Sci''. 2020; '''6''': e327
Application of MRI Radiomics-Based Machine Learning Model to Improve Contralateral BI-RADS 4 Lesion Assessment. Description: Hao, Wen, et al. Application of MRI Radiomics-Based Machine Learning Model to Improve Contralateral BI-RADS 4 Lesion Assessment. ''Front Oncol''. 2020; '''10''': 531476
Applications of Support Vector Machine in Genomic Prediction in Pig and Maize Populations. Description: Zhao, Wei, et al. Applications of Support Vector Machine in Genomic Prediction in Pig and Maize Populations. ''Front Genet''. 2020; '''11''': 598318
Applying Deep Learning Techniques to Estimate Patterns of Musical Gesture. Description: Dalmazzo, David, et al. Applying Deep Learning Techniques to Estimate Patterns of Musical Gesture. ''Front Psychol''. 2020; '''11''': 575971
Applying the Inverse Efficiency Score to Visual-Motor Task for Studying Speed-Accuracy Performance While Aging. Description: Statsenko, Yauhen, et al. Applying the Inverse Efficiency Score to Visual-Motor Task for Studying Speed-Accuracy Performance While Aging. ''Front Aging Neurosci''. 2020; '''12''': 574401
Artificial intelligence in automatic classification of invasive ductal carcinoma breast cancer in digital pathology images. Description: Abdolahi, Mohammad, et al. Artificial intelligence in automatic classification of invasive ductal carcinoma breast cancer in digital pathology images. ''Med J Islam Repub Iran''. 2020; '''34''': 140
Associating Type 2 Diabetes Risk Factor Genes and FDG-PET Brain Metabolism in Normal Aging and Alzheimer's Disease. Description: Nugent, Scott, et al. Associating Type 2 Diabetes Risk Factor Genes and FDG-PET Brain Metabolism in Normal Aging and Alzheimer's Disease. ''Front Aging Neurosci''. 2020; '''12''': 580633
ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq. Description: Lu, Rita Jui-Hsien, et al. ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq. ''Front Genet''. 2020; '''11''': 618478
Atom-specific persistent homology and its application to protein flexibility analysis. Description: Bramer, David, et al. Atom-specific persistent homology and its application to protein flexibility analysis. ''Comput Math Biophys''. 2020 Jan; '''8''' (1):1-35
A Urine-Based Liquid Biopsy Method for Detection of Upper Tract Urinary Carcinoma. Description: Xu, Yansheng, et al. A Urine-Based Liquid Biopsy Method for Detection of Upper Tract Urinary Carcinoma. ''Front Oncol''. 2020; '''10''': 597486
Case Report of Dual-Site Neurostimulation and Chronic Recording of Cortico-Striatal Circuitry in a Patient With Treatment Refractory Obsessive Compulsive Disorder. Description: Olsen, Sarah T, et al. Case Report of Dual-Site Neurostimulation and Chronic Recording of Cortico-Striatal Circuitry in a Patient With Treatment Refractory Obsessive Compulsive Disorder. ''Front Hum Neurosci''. 2020; '''14''': 569973
Cognitive Impairment and Dementia in Primary Care: Current Knowledge and Future Directions Based on Findings From a Large Cross-Sectional Study in Crete, Greece. Description: Bertsias, Antonios, et al. Cognitive Impairment and Dementia in Primary Care: Current Knowledge and Future Directions Based on Findings From a Large Cross-Sectional Study in Crete, Greece. ''Front Med (Lausanne)''. 2020; '''7''': 592924
Cognitive Processes Underlying Verbal Fluency in Multiple Sclerosis. Description: Delgado-Alvarez, Alfonso, et al. Cognitive Processes Underlying Verbal Fluency in Multiple Sclerosis. ''Front Neurol''. 2020; '''11''': 629183
Comparison of Machine Learning Models for Prediction of Initial Intravenous Immunoglobulin Resistance in Children With Kawasaki Disease. Description: Kuniyoshi, Yasutaka, et al. Comparison of Machine Learning Models for Prediction of Initial Intravenous Immunoglobulin Resistance in Children With Kawasaki Disease. ''Front Pediatr''. 2020; '''8''': 570834
Constellation Loss: Improving the Efficiency of Deep Metric Learning Loss Functions for the Optimal Embedding of histopathological images. Description: Medela, Alfonso, et al. Constellation Loss: Improving the Efficiency of Deep Metric Learning Loss Functions for the Optimal Embedding of histopathological images. ''J Pathol Inform''. 2020; '''11''': 38
Construction and Validation of Predictive Model to Identify Critical Genes Associated with Advanced Kidney Disease. Description: Xin, Guangda, et al. Construction and Validation of Predictive Model to Identify Critical Genes Associated with Advanced Kidney Disease. ''Int J Genomics''. 2020; '''2020''': 7524057
Crop-Zone Weed Mycobiomes of the South-Western Australian Grain Belt. Description: Michael, Pippa J, et al. Crop-Zone Weed Mycobiomes of the South-Western Australian Grain Belt. ''Front Microbiol''. 2020; '''11''': 581592
Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung Adenocarcinoma. Description: Zhang, Baihua, et al. Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung Adenocarcinoma. ''Front Oncol''. 2020; '''10''': 598721
Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury. Description: Li, Ting, et al. Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury. ''Front Bioeng Biotechnol''. 2020; '''8''': 562677
Deep Neural Networks Outperform the CAPRA Score in Predicting Biochemical Recurrence After Prostatectomy. Description: Sargos, Paul, et al. Deep Neural Networks Outperform the CAPRA Score in Predicting Biochemical Recurrence After Prostatectomy. ''Front Oncol''. 2020; '''10''': 607923
Developing a machine learning model to identify protein-protein interaction hotspots to facilitate drug discovery. Description: Nandakumar, Rohit, et al. Developing a machine learning model to identify protein-protein interaction hotspots to facilitate drug discovery. ''PeerJ''. 2020; '''8''': e10381
Development and external validation of a prognostic tool for COVID-19 critical disease. Description: Chow, Daniel S, et al. Development and external validation of a prognostic tool for COVID-19 critical disease. ''PLoS One''. 2020; '''15''' (12):e0242953
Development and Validation of a Personalized Survival Prediction Model for Uterine Adenosarcoma: A Population-Based Deep Learning Study. Description: Qu, Wenjie, et al. Development and Validation of a Personalized Survival Prediction Model for Uterine Adenosarcoma: A Population-Based Deep Learning Study. ''Front Oncol''. 2020; '''10''': 623818
Distinguishing Focal Cortical Dysplasia From Glioneuronal Tumors in Patients With Epilepsy by Machine Learning. Description: Guo, Yi, et al. Distinguishing Focal Cortical Dysplasia From Glioneuronal Tumors in Patients With Epilepsy by Machine Learning. ''Front Neurol''. 2020; '''11''': 548305
DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains. Description: Chen, Xiayu, et al. DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains. ''Front Comput Neurosci''. 2020; '''14''': 580632
Domain-Scan: Combinatorial Sero-Diagnosis of Infectious Diseases Using Machine Learning. Description: Hada-Neeman, Smadar, et al. Domain-Scan: Combinatorial Sero-Diagnosis of Infectious Diseases Using Machine Learning. ''Front Immunol''. 2020; '''11''': 619896
Early screening of autism spectrum disorder using cry features. Description: Khozaei, Aida, et al. Early screening of autism spectrum disorder using cry features. ''PLoS One''. 2020; '''15''' (12):e0241690
Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge. Description: Couvy-Duchesne, Baptiste, et al. Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge. ''Front Psychiatry''. 2020; '''11''': 593336
Evaluation of classification and forecasting methods on time series gene expression data. Description: Tripto, Nafis Irtiza, et al. Evaluation of classification and forecasting methods on time series gene expression data. ''PLoS One''. 2020; '''15''' (11):e0241686
Evolutionary model discovery of causal factors behind the socio-agricultural behavior of the Ancestral Pueblo. Description: Gunaratne, Chathika, et al. Evolutionary model discovery of causal factors behind the socio-agricultural behavior of the Ancestral Pueblo. ''PLoS One''. 2020; '''15''' (12):e0239922
Exploratory Analysis of Qualitative MR Imaging Features for the Differentiation of Glioblastoma and Brain Metastases. Description: Meier, Raphael, et al. Exploratory Analysis of Qualitative MR Imaging Features for the Differentiation of Glioblastoma and Brain Metastases. ''Front Oncol''. 2020; '''10''': 581037
Home chemical and microbial transitions across urbanization. Description: McCall, Laura-Isobel, et al. Home chemical and microbial transitions across urbanization. ''Nat Microbiol''. 2020 Jan; '''5''' (1):108-115
Identification of Protein Subcellular Localization With Network and Functional Embeddings. Description: Pan, Xiaoyong, et al. Identification of Protein Subcellular Localization With Network and Functional Embeddings. ''Front Genet''. 2020; '''11''': 626500
Identifying Robust Microbiota Signatures and Interpretable Rules to Distinguish Cancer Subtypes. Description: Chen, Lei, et al. Identifying Robust Microbiota Signatures and Interpretable Rules to Distinguish Cancer Subtypes. ''Front Mol Biosci''. 2020; '''7''': 604794
Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection. Description: Zhang, Yu-Hang, et al. Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection. ''Front Cell Dev Biol''. 2020; '''8''': 627302
Image Patch-Based Net Water Uptake and Radiomics Models Predict Malignant Cerebral Edema After Ischemic Stroke. Description: Fu, Bowen, et al. Image Patch-Based Net Water Uptake and Radiomics Models Predict Malignant Cerebral Edema After Ischemic Stroke. ''Front Neurol''. 2020; '''11''': 609747
Imaging Subthreshold Voltage Oscillation With Cellular Resolution in the Inferior Olive in vitro. Description: Dorgans, Kevin, et al. Imaging Subthreshold Voltage Oscillation With Cellular Resolution in the Inferior Olive in vitro. ''Front Cell Neurosci''. 2020; '''14''': 607843
Imbalanced learning: Improving classification of diabetic neuropathy from magnetic resonance imaging. Description: Teh, Kevin, et al. Imbalanced learning: Improving classification of diabetic neuropathy from magnetic resonance imaging. ''PLoS One''. 2020; '''15''' (12):e0243907
Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning. Description: Xie, Liangxu, et al. Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning. ''Front Pharmacol''. 2020; '''11''': 606668
Influencing Factors and Machine Learning-Based Prediction of Side Effects in Psychotherapy. Description: Yao, Lijun, et al. Influencing Factors and Machine Learning-Based Prediction of Side Effects in Psychotherapy. ''Front Psychiatry''. 2020; '''11''': 537442
Introducing a Method for Intervals Correction on Multiple Likert Scales: A Case Study on an Urban Soundscape Data Collection Instrument. Description: Lionello, Matteo, et al. Introducing a Method for Intervals Correction on Multiple Likert Scales: A Case Study on an Urban Soundscape Data Collection Instrument. ''Front Psychol''. 2020; '''11''': 602831
Investigation on Data Fusion of Multisource Spectral Data for Rice Leaf Diseases Identification Using Machine Learning Methods. Description: Feng, Lei, et al. Investigation on Data Fusion of Multisource Spectral Data for Rice Leaf Diseases Identification Using Machine Learning Methods. ''Front Plant Sci''. 2020; '''11''': 577063
Isolation of monoclonal antibodies from anti-synthetase syndrome patients and affinity maturation by recombination of independent somatic variants. Description: Burman, Luke, et al. Isolation of monoclonal antibodies from anti-synthetase syndrome patients and affinity maturation by recombination of independent somatic variants. ''MAbs''. 2020 Jan-Dec; '''12''' (1):1836718
Lactate dehydrogenase kinetics predict chemotherapy response in recurrent metastatic nasopharyngeal carcinoma. Description: Huang, Luo, et al. Lactate dehydrogenase kinetics predict chemotherapy response in recurrent metastatic nasopharyngeal carcinoma. ''Ther Adv Med Oncol''. 2020; '''12''': 1758835920970050
Machine learning-assisted enzyme engineering. Description: Siedhoff, Niklas E, et al. Machine learning-assisted enzyme engineering. ''Methods Enzymol''. 2020; '''643''': 281-315
Machine Learning-Based Identification of Suicidal Risk in Patients With Schizophrenia Using Multi-Level Resting-State fMRI Features. Description: Bohaterewicz, Bartosz, et al. Machine Learning-Based Identification of Suicidal Risk in Patients With Schizophrenia Using Multi-Level Resting-State fMRI Features. ''Front Neurosci''. 2020; '''14''': 605697
Machine Learning for Histologic Subtype Classification of Non-Small Cell Lung Cancer: A Retrospective Multicenter Radiomics Study. Description: Yang, Fengchang, et al. Machine Learning for Histologic Subtype Classification of Non-Small Cell Lung Cancer: A Retrospective Multicenter Radiomics Study. ''Front Oncol''. 2020; '''10''': 608598
Machine Learning for the Preliminary Diagnosis of Dementia. Description: Zhu, Fubao, et al. Machine Learning for the Preliminary Diagnosis of Dementia. ''Sci Program''. 2020; '''2020''': 5629090
Machine learning prediction of motor response after deep brain stimulation in Parkinson's disease-proof of principle in a retrospective cohort. Description: Habets, Jeroen G V, et al. Machine learning prediction of motor response after deep brain stimulation in Parkinson's disease-proof of principle in a retrospective cohort. ''PeerJ''. 2020; '''8''': e10317
Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction. Description: Khalili, Elham, et al. Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction. ''Front Plant Sci''. 2020; '''11''': 590529
Multiregional-Based Magnetic Resonance Imaging Radiomics Combined With Clinical Data Improves Efficacy in Predicting Lymph Node Metastasis of Rectal Cancer. Description: Liu, Xiangchun, et al. Multiregional-Based Magnetic Resonance Imaging Radiomics Combined With Clinical Data Improves Efficacy in Predicting Lymph Node Metastasis of Rectal Cancer. ''Front Oncol''. 2020; '''10''': 585767
PARMAP: A Pan-Genome-Based Computational Framework for Predicting Antimicrobial Resistance. Description: Li, Xuefei, et al. PARMAP: A Pan-Genome-Based Computational Framework for Predicting Antimicrobial Resistance. ''Front Microbiol''. 2020; '''11''': 578795
Pathological Cluster Identification by Unsupervised Analysis in 3,822 UK Biobank Cardiac MRIs. Description: Zheng, Qiao, et al. Pathological Cluster Identification by Unsupervised Analysis in 3,822 UK Biobank Cardiac MRIs. ''Front Cardiovasc Med''. 2020; '''7''': 539788
Polish is quantitatively different on quartzite flakes used on different worked materials. Description: Pedergnana, Antonella, et al. Polish is quantitatively different on quartzite flakes used on different worked materials. ''PLoS One''. 2020; '''15''' (12):e0243295
Post-hoc modification of linear models: Combining machine learning with domain information to make solid inferences from noisy data. Description: van Vliet, Marijn, et al. Post-hoc modification of linear models: Combining machine learning with domain information to make solid inferences from noisy data. ''Neuroimage''. 2020 Jan 1; '''204''': 116221
Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest Technique. Description: Xia, Nengzhi, et al. Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest Technique. ''Front Neurol''. 2020; '''11''': 538052
Radiomics Signatures of Cardiovascular Risk Factors in Cardiac MRI: Results From the UK Biobank. Description: Cetin, Irem, et al. Radiomics Signatures of Cardiovascular Risk Factors in Cardiac MRI: Results From the UK Biobank. ''Front Cardiovasc Med''. 2020; '''7''': 591368
Rapid Microbial Quality Assessment of Chicken Liver Inoculated or Not With Salmonella Using FTIR Spectroscopy and Machine Learning. Description: Dourou, Dimitra, et al. Rapid Microbial Quality Assessment of Chicken Liver Inoculated or Not With Salmonella Using FTIR Spectroscopy and Machine Learning. ''Front Microbiol''. 2020; '''11''': 623788
Recognition of Consumer Preference by Analysis and Classification EEG Signals. Description: Aldayel, Mashael, et al. Recognition of Consumer Preference by Analysis and Classification EEG Signals. ''Front Hum Neurosci''. 2020; '''14''': 604639
Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME. Description: Yousef, Malik, et al. Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME. ''F1000Res''. 2020; '''9''': 1255
Regional Gray Matter Volume Identifies High Risk of Unsafe Driving in Healthy Older People. Description: Yamamoto, Yasuharu, et al. Regional Gray Matter Volume Identifies High Risk of Unsafe Driving in Healthy Older People. ''Front Aging Neurosci''. 2020; '''12''': 592979
Repeated Multiview Imaging for Estimating Seedling Tiller Counts of Wheat Genotypes Using Drones. Description: Roth, Lukas, et al. Repeated Multiview Imaging for Estimating Seedling Tiller Counts of Wheat Genotypes Using Drones. ''Plant Phenomics''. 2020; '''2020''': 3729715
Risk Factors of Cerebral Infarction and Myocardial Infarction after Carotid Endarterectomy Analyzed by Machine Learning. Description: Bai, Peng, et al. Risk Factors of Cerebral Infarction and Myocardial Infarction after Carotid Endarterectomy Analyzed by Machine Learning. ''Comput Math Methods Med''. 2020; '''2020''': 6217392
Rupture Risk Assessment for Cerebral Aneurysm Using Interpretable Machine Learning on Multidimensional Data. Description: Ou, Chubin, et al. Rupture Risk Assessment for Cerebral Aneurysm Using Interpretable Machine Learning on Multidimensional Data. ''Front Neurol''. 2020; '''11''': 570181
Semisupervised Deep State-Space Model for Plant Growth Modeling. Description: Shibata, S, et al. Semisupervised Deep State-Space Model for Plant Growth Modeling. ''Plant Phenomics''. 2020; '''2020''': 4261965
SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning. Description: Xu, Jing, et al. SE-stacking: Improving user purchase behavior prediction by information fusion and ensemble learning. ''PLoS One''. 2020; '''15''' (11):e0242629
Soil Bacterial and Fungal Richness Forecast Patterns of Early Pine Litter Decomposition. Description: Albright, Michaeline B N, et al. Soil Bacterial and Fungal Richness Forecast Patterns of Early Pine Litter Decomposition. ''Front Microbiol''. 2020; '''11''': 542220
The Use of High-Throughput Phenotyping for Assessment of Heat Stress-Induced Changes in Arabidopsis. Description: Gao, Ge, et al. The Use of High-Throughput Phenotyping for Assessment of Heat Stress-Induced Changes in Arabidopsis. ''Plant Phenomics''. 2020; '''2020''': 3723916
Thin-Slice Magnetic Resonance Imaging-Based Radiomics Signature Predicts Chromosomal 1p/19q Co-deletion Status in Grade II and III Gliomas. Description: Kong, Ziren, et al. Thin-Slice Magnetic Resonance Imaging-Based Radiomics Signature Predicts Chromosomal 1p/19q Co-deletion Status in Grade II and III Gliomas. ''Front Neurol''. 2020; '''11''': 551771
Tonsil Mycobiome in PFAPA (Periodic Fever, Aphthous Stomatitis, Pharyngitis, Adenitis) Syndrome: A Case-Control Study. Description: Tejesvi, Mysore V, et al. Tonsil Mycobiome in PFAPA (Periodic Fever, Aphthous Stomatitis, Pharyngitis, Adenitis) Syndrome: A Case-Control Study. ''Front Cell Infect Microbiol''. 2020; '''10''': 616814
Toward a Better Understanding of Bioassays for the Development of Biopharmaceuticals by Exploring the Structure-Antibody-Dependent Cellular Cytotoxicity Relationship in Human Primary Cells. Description: Wieckowski, Sebastien, et al. Toward a Better Understanding of Bioassays for the Development of Biopharmaceuticals by Exploring the Structure-Antibody-Dependent Cellular Cytotoxicity Relationship in Human Primary Cells. ''Front Immunol''. 2020; '''11''': 552596
Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection Method. Description: Zhou, Lei, et al. Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection Method. ''Front Plant Sci''. 2020; '''11''': 575810
Within- and cross-species predictions of plant specialized metabolism genes using transfer learning. Description: Moore, Bethany M, et al. Within- and cross-species predictions of plant specialized metabolism genes using transfer learning. ''In Silico Plants''. 2020; '''2''' (1):diaa005
Y-Chromosome Genetic Analysis of Modern Polish Population. Description: Grochowalski, Lukasz, et al. Y-Chromosome Genetic Analysis of Modern Polish Population. ''Front Genet''. 2020; '''11''': 567309
A Bayesian machine scientist to aid in the solution of challenging scientific problems. Description: Guimera, Roger, et al. A Bayesian machine scientist to aid in the solution of challenging scientific problems. ''Sci Adv''. 2020 Jan; '''6''' (5):eaav6971
A brain connectivity characterization of children with different levels of mathematical achievement based on graph metrics. Description: Torres-Ramos, Sulema, et al. A brain connectivity characterization of children with different levels of mathematical achievement based on graph metrics. ''PLoS One''. 2020; '''15''' (1):e0227613
A comparative study of machine learning algorithms for predicting acute kidney injury after liver cancer resection. Description: Lei, Lei, et al. A comparative study of machine learning algorithms for predicting acute kidney injury after liver cancer resection. ''PeerJ''. 2020; '''8''': e8583
A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling. Description: Zhong, Junda, et al. A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling. ''J Healthc Eng''. 2020; '''2020''': 8847144
A computational framework to explore large-scale biosynthetic diversity. Description: Navarro-Munoz, Jorge C, et al. A computational framework to explore large-scale biosynthetic diversity. ''Nat Chem Biol''. 2020 Jan; '''16''' (1):60-68
A Computed Tomography-Based Radiomics Nomogram to Preoperatively Predict Tumor Necrosis in Patients With Clear Cell Renal Cell Carcinoma. Description: Jiang, Yi, et al. A Computed Tomography-Based Radiomics Nomogram to Preoperatively Predict Tumor Necrosis in Patients With Clear Cell Renal Cell Carcinoma. ''Front Oncol''. 2020; '''10''': 592
A CT-Based Radiomics Approach for the Differential Diagnosis of Sarcomatoid and Clear Cell Renal Cell Carcinoma. Description: Meng, Xiaoli, et al. A CT-Based Radiomics Approach for the Differential Diagnosis of Sarcomatoid and Clear Cell Renal Cell Carcinoma. ''Biomed Res Int''. 2020; '''2020''': 7103647
AgeGuess, a Methylomic Prediction Model for Human Ages. Description: Gao, Xiaoqian, et al. AgeGuess, a Methylomic Prediction Model for Human Ages. ''Front Bioeng Biotechnol''. 2020; '''8''': 80
A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity. Description: Goodman-Meza, David, et al. A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity. ''PLoS One''. 2020; '''15''' (9):e0239474
A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population. Description: Wang, Tengyang, et al. A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population. ''PLoS One''. 2020; '''15''' (8):e0237321
A Machine Learning Approach to the Differentiation of Functional Magnetic Resonance Imaging Data of Chronic Fatigue Syndrome (CFS) From a Sedentary Control. Description: Provenzano, Destie, et al. A Machine Learning Approach to the Differentiation of Functional Magnetic Resonance Imaging Data of Chronic Fatigue Syndrome (CFS) From a Sedentary Control. ''Front Comput Neurosci''. 2020; '''14''': 2
A Method for Predicting Hemolytic Potency of Chemically Modified Peptides From Its Structure. Description: Kumar, Vinod, et al. A Method for Predicting Hemolytic Potency of Chemically Modified Peptides From Its Structure. ''Front Pharmacol''. 2020; '''11''': 54
Analysis of computational codon usage models and their association with translationally slow codons. Description: Wright, Gabriel, et al. Analysis of computational codon usage models and their association with translationally slow codons. ''PLoS One''. 2020; '''15''' (4):e0232003
An Analysis of Proteochemometric and Conformal Prediction Machine Learning Protein-Ligand Binding Affinity Models. Description: Parks, Conor, et al. An Analysis of Proteochemometric and Conformal Prediction Machine Learning Protein-Ligand Binding Affinity Models. ''Front Mol Biosci''. 2020; '''7''': 93
A Neural Network Framework for Predicting the Tissue-of-Origin of 15 Common Cancer Types Based on RNA-Seq Data. Description: He, Binsheng, et al. A Neural Network Framework for Predicting the Tissue-of-Origin of 15 Common Cancer Types Based on RNA-Seq Data. ''Front Bioeng Biotechnol''. 2020; '''8''': 737
A Panel of Urinary Long Non-coding RNAs Differentiate Bladder Cancer from Urocystitis. Description: Yu, Xiao, et al. A Panel of Urinary Long Non-coding RNAs Differentiate Bladder Cancer from Urocystitis. ''J Cancer''. 2020; '''11''' (4):781-787
A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study. Description: Zou, Xiao-Ling, et al. A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study. ''PLoS One''. 2020; '''15''' (7):e0236378
A proteomic atlas of senescence-associated secretomes for aging biomarker development. Description: Basisty, Nathan, et al. A proteomic atlas of senescence-associated secretomes for aging biomarker development. ''PLoS Biol''. 2020 Jan; '''18''' (1):e3000599
Aptamer based proteomic pilot study reveals a urine signature indicative of pediatric urinary tract infections. Description: Dong, Liang, et al. Aptamer based proteomic pilot study reveals a urine signature indicative of pediatric urinary tract infections. ''PLoS One''. 2020; '''15''' (7):e0235328
A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancer. Description: Demircioglu, Aydin, et al. A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancer. ''PLoS One''. 2020; '''15''' (6):e0234871
A theoretical morphological model for quantitative description of the three-dimensional floral morphology in water lily (Nymphaea). Description: Kirie, Shiryu, et al. A theoretical morphological model for quantitative description of the three-dimensional floral morphology in water lily (Nymphaea). ''PLoS One''. 2020; '''15''' (10):e0239781
Autoantibody profiling identifies predictive biomarkers of response to anti-PD1 therapy in cancer patients. Description: Tan, Qiaoyun, et al. Autoantibody profiling identifies predictive biomarkers of response to anti-PD1 therapy in cancer patients. ''Theranostics''. 2020; '''10''' (14):6399-6410
Automated abnormality classification of chest radiographs using deep convolutional neural networks. Description: Tang, Yu-Xing, et al. Automated abnormality classification of chest radiographs using deep convolutional neural networks. ''NPJ Digit Med''. 2020; '''3''': 70
Automatic Prediction of MGMT Status in Glioblastoma via Deep Learning-Based MR Image Analysis. Description: Chen, Xin, et al. Automatic Prediction of MGMT Status in Glioblastoma via Deep Learning-Based MR Image Analysis. ''Biomed Res Int''. 2020; '''2020''': 9258649
Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning. Description: Baskaran, Lohendran, et al. Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning. ''PLoS One''. 2020; '''15''' (5):e0232573
Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification. Description: Zhou, Jiamin, et al. Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification. ''Front Endocrinol (Lausanne)''. 2020; '''11''': 612
Bacterial communities associated with cell phones and shoes. Description: Coil, David A, et al. Bacterial communities associated with cell phones and shoes. ''PeerJ''. 2020; '''8''': e9235
Bacterial Genome Wide Association Studies (bGWAS) and Transcriptomics Identifies Cryptic Antimicrobial Resistance Mechanisms in Acinetobacter baumannii. Description: Roe, Chandler, et al. Bacterial Genome Wide Association Studies (bGWAS) and Transcriptomics Identifies Cryptic Antimicrobial Resistance Mechanisms in Acinetobacter baumannii. ''Front Public Health''. 2020; '''8''': 451
BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces. Description: Simoes, Marco, et al. BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces. ''Front Neurosci''. 2020; '''14''': 568104
Blind method for discovering number of clusters in multidimensional datasets by regression on linkage hierarchies generated from random data. Description: Zalay, Osbert C. Blind method for discovering number of clusters in multidimensional datasets by regression on linkage hierarchies generated from random data. ''PLoS One''. 2020; '''15''' (1):e0227788
Brain aging in temporal lobe epilepsy: Chronological, structural, and functional. Description: Hwang, Gyujoon, et al. Brain aging in temporal lobe epilepsy: Chronological, structural, and functional. ''Neuroimage Clin''. 2020; '''25''': 102183
Brown fat does not cause cachexia in cancer patients: A large retrospective longitudinal FDG-PET/CT cohort study. Description: Becker, Anton S, et al. Brown fat does not cause cachexia in cancer patients: A large retrospective longitudinal FDG-PET/CT cohort study. ''PLoS One''. 2020; '''15''' (10):e0239990
Cancer Risk Analysis Based on Improved Probabilistic Neural Network. Description: Yang, Chaoyu, et al. Cancer Risk Analysis Based on Improved Probabilistic Neural Network. ''Front Comput Neurosci''. 2020; '''14''': 58
CERENKOV3: Clustering and molecular network-derived features improve computational prediction of functional noncoding SNPs. Description: Yao, Yao, et al. CERENKOV3: Clustering and molecular network-derived features improve computational prediction of functional noncoding SNPs. ''Pac Symp Biocomput''. 2020; '''25''': 535-546
Challenges of machine learning model validation using correlated behaviour data: Evaluation of cross-validation strategies and accuracy measures. Description: Ferdinandy, Bence, et al. Challenges of machine learning model validation using correlated behaviour data: Evaluation of cross-validation strategies and accuracy measures. ''PLoS One''. 2020; '''15''' (7):e0236092
Characterizing the postmortem human bone microbiome from surface-decomposed remains. Description: Emmons, Alexandra L, et al. Characterizing the postmortem human bone microbiome from surface-decomposed remains. ''PLoS One''. 2020; '''15''' (7):e0218636
Children with autism spectrum disorder produce more ambiguous and less socially meaningful facial expressions: an experimental study using random forest classifiers. Description: Grossard, Charline, et al. Children with autism spectrum disorder produce more ambiguous and less socially meaningful facial expressions: an experimental study using random forest classifiers. ''Mol Autism''. 2020; '''11''': 5
Classification and Graphical Analysis of Alzheimer's Disease and Its Prodromal Stage Using Multimodal Features From Structural, Diffusion, and Functional Neuroimaging Data and the APOE Genotype. Description: Gupta, Yubraj, et al. Classification and Graphical Analysis of Alzheimer's Disease and Its Prodromal Stage Using Multimodal Features From Structural, Diffusion, and Functional Neuroimaging Data and the APOE Genotype. ''Front Aging Neurosci''. 2020; '''12''': 238
Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Cortical and Subcortical Features from MRI T1 Brain Images Utilizing Four Different Types of Datasets. Description: Toshkhujaev, Saidjalol, et al. Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Cortical and Subcortical Features from MRI T1 Brain Images Utilizing Four Different Types of Datasets. ''J Healthc Eng''. 2020; '''2020''': 3743171
Classification of Social Anxiety Disorder With Support Vector Machine Analysis Using Neural Correlates of Social Signals of Threat. Description: Xing, Mengqi, et al. Classification of Social Anxiety Disorder With Support Vector Machine Analysis Using Neural Correlates of Social Signals of Threat. ''Front Psychiatry''. 2020; '''11''': 144
Classifying Elite From Novice Athletes Using Simulated Wearable Sensor Data. Description: Ross, Gwyneth B, et al. Classifying Elite From Novice Athletes Using Simulated Wearable Sensor Data. ''Front Bioeng Biotechnol''. 2020; '''8''': 814
Classifying shoulder implants in X-ray images using deep learning. Description: Urban, Gregor, et al. Classifying shoulder implants in X-ray images using deep learning. ''Comput Struct Biotechnol J''. 2020; '''18''': 967-972
Clinical, Conventional CT and Radiomic Feature-Based Machine Learning Models for Predicting ALK Rearrangement Status in Lung Adenocarcinoma Patients. Description: Song, Lan, et al. Clinical, Conventional CT and Radiomic Feature-Based Machine Learning Models for Predicting ALK Rearrangement Status in Lung Adenocarcinoma Patients. ''Front Oncol''. 2020; '''10''': 369
clustifyr: an R package for automated single-cell RNA sequencing cluster classification. Description: Fu, Rui, et al. clustifyr: an R package for automated single-cell RNA sequencing cluster classification. ''F1000Res''. 2020; '''9''': 223
Common biochemical properties of metabolic genes recurrently dysregulated in tumors. Description: Oruganty, Krishnadev, et al. Common biochemical properties of metabolic genes recurrently dysregulated in tumors. ''Cancer Metab''. 2020; '''8''': 5
Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation. Description: Singh, Gurpreet, et al. Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation. ''PLoS One''. 2020; '''15''' (9):e0239934
Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan. Description: Xia, Xianwu, et al. Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan. ''Front Oncol''. 2020; '''10''': 418
Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma. Description: Chen, Chaoyue, et al. Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma. ''Front Oncol''. 2020; '''10''': 1151
Computing Skin Cutaneous Melanoma Outcome From the HLA-Alleles and Clinical Characteristics. Description: Dhall, Anjali, et al. Computing Skin Cutaneous Melanoma Outcome From the HLA-Alleles and Clinical Characteristics. ''Front Genet''. 2020; '''11''': 221
Continuous Blood Pressure Estimation From Electrocardiogram and Photoplethysmogram During Arrhythmias. Description: Liu, ZengDing, et al. Continuous Blood Pressure Estimation From Electrocardiogram and Photoplethysmogram During Arrhythmias. ''Front Physiol''. 2020; '''11''': 575407
Convex Representations Using Deep Archetypal Analysis for Predicting Glaucoma. Description: Thakur, Anshul, et al. Convex Representations Using Deep Archetypal Analysis for Predicting Glaucoma. ''IEEE J Transl Eng Health Med''. 2020; '''8''': 3800107
Cortical Tuning is Impaired After Perceptual Experience in Primary Visual Cortex of Serotonin Transporter-Deficient Mice. Description: Pak, Alexandr, et al. Cortical Tuning is Impaired After Perceptual Experience in Primary Visual Cortex of Serotonin Transporter-Deficient Mice. ''Cereb Cortex Commun''. 2020; '''1''' (1):tgaa066
Could dementia be detected from UK primary care patients' records by simple automated methods earlier than by the treating physician? A retrospective case-control study. Description: Ford, Elizabeth, et al. Could dementia be detected from UK primary care patients' records by simple automated methods earlier than by the treating physician? A retrospective case-control study. ''Wellcome Open Res''. 2020; '''5''': 120
Crystal structure of Thermus thermophilus methylenetetrahydrofolate dehydrogenase and determinants of thermostability. Description: Maiello, Fernando, et al. Crystal structure of Thermus thermophilus methylenetetrahydrofolate dehydrogenase and determinants of thermostability. ''PLoS One''. 2020; '''15''' (5):e0232959
CytokineExplore: An Online Tool for Statistical Analysis of Cytokine Concentration Datasets. Description: Kassem, Osama, et al. CytokineExplore: An Online Tool for Statistical Analysis of Cytokine Concentration Datasets. ''J Inflamm Res''. 2020; '''13''': 401-410
Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer's Disease Diagnosis. Description: Furutani, Naoki, et al. Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer's Disease Diagnosis. ''Front Psychiatry''. 2020; '''11''': 531801
Deep graph embedding for prioritizing synergistic anticancer drug combinations. Description: Jiang, Peiran, et al. Deep graph embedding for prioritizing synergistic anticancer drug combinations. ''Comput Struct Biotechnol J''. 2020; '''18''': 427-438
Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model. Description: Ko, Yu-Chieh, et al. Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model. ''PLoS One''. 2020; '''15''' (5):e0233079
Deep learning from "passive feeding" to "selective eating" of real-world data. Description: Li, Zhongwen, et al. Deep learning from "passive feeding" to "selective eating" of real-world data. ''NPJ Digit Med''. 2020; '''3''': 143
Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex. Description: Sanchez Fernandez, Ivan, et al. Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex. ''PLoS One''. 2020; '''15''' (4):e0232376
Deep learning predicts microbial interactions from self-organized spatiotemporal patterns. Description: Lee, Joon-Yong, et al. Deep learning predicts microbial interactions from self-organized spatiotemporal patterns. ''Comput Struct Biotechnol J''. 2020; '''18''': 1259-1269
Deep representation learning of electronic health records to unlock patient stratification at scale. Description: Landi, Isotta, et al. Deep representation learning of electronic health records to unlock patient stratification at scale. ''NPJ Digit Med''. 2020; '''3''': 96
Defining the sediment prokaryotic communities of the Indian River Lagoon, FL, USA, an Estuary of National Significance. Description: Bradshaw, David J 2nd, et al. Defining the sediment prokaryotic communities of the Indian River Lagoon, FL, USA, an Estuary of National Significance. ''PLoS One''. 2020; '''15''' (10):e0236305
Describing the antimicrobial usage patterns of companion animal veterinary practices; free text analysis of more than 4.4 million consultation records. Description: Hur, Brian A, et al. Describing the antimicrobial usage patterns of companion animal veterinary practices; free text analysis of more than 4.4 million consultation records. ''PLoS One''. 2020; '''15''' (3):e0230049
Development and Validation of a Deep Learning Radiomics Model Predicting Lymph Node Status in Operable Cervical Cancer. Description: Dong, Taotao, et al. Development and Validation of a Deep Learning Radiomics Model Predicting Lymph Node Status in Operable Cervical Cancer. ''Front Oncol''. 2020; '''10''': 464
Development and validation of a robotic multifactorial fall-risk predictive model: A one-year prospective study in community-dwelling older adults. Description: Cella, Alberto, et al. Development and validation of a robotic multifactorial fall-risk predictive model: A one-year prospective study in community-dwelling older adults. ''PLoS One''. 2020; '''15''' (6):e0234904
Development and validation of risk prediction models for multiple cardiovascular diseases and Type 2 diabetes. Description: Rezaee, Mehrdad, et al. Development and validation of risk prediction models for multiple cardiovascular diseases and Type 2 diabetes. ''PLoS One''. 2020; '''15''' (7):e0235758
Development, Validation and Comparison of Artificial Neural Network Models and Logistic Regression Models Predicting Survival of Unresectable Pancreatic Cancer. Description: Tong, Zhou, et al. Development, Validation and Comparison of Artificial Neural Network Models and Logistic Regression Models Predicting Survival of Unresectable Pancreatic Cancer. ''Front Bioeng Biotechnol''. 2020; '''8''': 196
Differential Gut Microbiota and Fecal Metabolites Related With the Clinical Subtypes of Myasthenia Gravis. Description: Tan, Xunmin, et al. Differential Gut Microbiota and Fecal Metabolites Related With the Clinical Subtypes of Myasthenia Gravis. ''Front Microbiol''. 2020; '''11''': 564579
Dissecting efficiency of a 5' rapid amplification of cDNA ends (5'-RACE) approach for profiling T-cell receptor beta repertoire. Description: Lin, Yu-Hung, et al. Dissecting efficiency of a 5' rapid amplification of cDNA ends (5'-RACE) approach for profiling T-cell receptor beta repertoire. ''PLoS One''. 2020; '''15''' (7):e0236366
Early Prediction of Clinical Response to Etanercept Treatment in Juvenile Idiopathic Arthritis Using Machine Learning. Description: Mo, Xiaolan, et al. Early Prediction of Clinical Response to Etanercept Treatment in Juvenile Idiopathic Arthritis Using Machine Learning. ''Front Pharmacol''. 2020; '''11''': 1164
Effects of Label Noise on Deep Learning-Based Skin Cancer Classification. Description: Hekler, Achim, et al. Effects of Label Noise on Deep Learning-Based Skin Cancer Classification. ''Front Med (Lausanne)''. 2020; '''7''': 177
Enabling community-based metrology for wood-degrading fungi. Description: Perez, Rolando, et al. Enabling community-based metrology for wood-degrading fungi. ''Fungal Biol Biotechnol''. 2020; '''7''': 2
Ensemble learning model for diagnosing COVID-19 from routine blood tests. Description: AlJame, Maryam, et al. Ensemble learning model for diagnosing COVID-19 from routine blood tests. ''Inform Med Unlocked''. 2020; '''21''': 100449
Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. Description: Zhao, Yijun, et al. Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. ''NPJ Digit Med''. 2020; '''3''': 135
Estimating the heritability of psychological measures in the Human Connectome Project dataset. Description: Han, Yanting, et al. Estimating the heritability of psychological measures in the Human Connectome Project dataset. ''PLoS One''. 2020; '''15''' (7):e0235860
Evaluation of Artificial Intelligence in Participating Structure-Based Virtual Screening for Identifying Novel Interleukin-1 Receptor Associated Kinase-1 Inhibitors. Description: Che, Jinxin, et al. Evaluation of Artificial Intelligence in Participating Structure-Based Virtual Screening for Identifying Novel Interleukin-1 Receptor Associated Kinase-1 Inhibitors. ''Front Oncol''. 2020; '''10''': 1769
Evaluation of machine learning models for automatic detection of DNA double strand breaks after irradiation using a gammaH2AX foci assay. Description: Hohmann, Tim, et al. Evaluation of machine learning models for automatic detection of DNA double strand breaks after irradiation using a gammaH2AX foci assay. ''PLoS One''. 2020; '''15''' (2):e0229620
Expression based biomarkers and models to classify early and late-stage samples of Papillary Thyroid Carcinoma. Description: Bhalla, Sherry, et al. Expression based biomarkers and models to classify early and late-stage samples of Papillary Thyroid Carcinoma. ''PLoS One''. 2020; '''15''' (4):e0231629
Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing. Description: Pandey, Mohit, et al. Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing. ''PLoS One''. 2020; '''15''' (7):e0236827
Factors affecting COVID-19 infected and death rates inform lockdown-related policymaking. Description: Roy, Satyaki, et al. Factors affecting COVID-19 infected and death rates inform lockdown-related policymaking. ''PLoS One''. 2020; '''15''' (10):e0241165
Fatigue Evaluation through Machine Learning and a Global Fatigue Descriptor. Description: Ramos, G, et al. Fatigue Evaluation through Machine Learning and a Global Fatigue Descriptor. ''J Healthc Eng''. 2020; '''2020''': 6484129
Featured Gut Microbiomes Associated With the Progression of Chronic Hepatitis B Disease. Description: Chen, Zhangran, et al. Featured Gut Microbiomes Associated With the Progression of Chronic Hepatitis B Disease. ''Front Microbiol''. 2020; '''11''': 383
FeAture Explorer (FAE): A tool for developing and comparing radiomics models. Description: Song, Yang, et al. FeAture Explorer (FAE): A tool for developing and comparing radiomics models. ''PLoS One''. 2020; '''15''' (8):e0237587
G2G: A web-server for the prediction of human synthetic lethal interactions. Description: Almozlino, Yom Tov, et al. G2G: A web-server for the prediction of human synthetic lethal interactions. ''Comput Struct Biotechnol J''. 2020; '''18''': 1028-1031
Global Image Properties Predict Ratings of Affective Pictures. Description: Redies, Christoph, et al. Global Image Properties Predict Ratings of Affective Pictures. ''Front Psychol''. 2020; '''11''': 953
Heart rate fragmentation gives novel insights into non-autonomic mechanisms governing beat-to-beat control of the heart's rhythm. Description: Lensen, Irene S, et al. Heart rate fragmentation gives novel insights into non-autonomic mechanisms governing beat-to-beat control of the heart's rhythm. ''JRSM Cardiovasc Dis''. 2020 Jan-Dec; '''9''': 2048004020948732
Hidden duplicates: 10s or 100s of Indian trials, registered with ClinicalTrials.gov, have not been registered in India, as required by law. Description: Kumari, Sangeeta, et al. Hidden duplicates: 10s or 100s of Indian trials, registered with ClinicalTrials.gov, have not been registered in India, as required by law. ''PLoS One''. 2020; '''15''' (6):e0234925
Identification of DNA methylation patterns and biomarkers for clear-cell renal cell carcinoma by multi-omics data analysis. Description: Liu, Pengfei, et al. Identification of DNA methylation patterns and biomarkers for clear-cell renal cell carcinoma by multi-omics data analysis. ''PeerJ''. 2020; '''8''': e9654
Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning. Description: Zhang, Guishan, et al. Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning. ''Front Genet''. 2020; '''11''': 655
Identifying psychosis spectrum youth using support vector machines and cerebral blood perfusion as measured by arterial spin labeled fMRI. Description: Overton, Dawson J, et al. Identifying psychosis spectrum youth using support vector machines and cerebral blood perfusion as measured by arterial spin labeled fMRI. ''Neuroimage Clin''. 2020; '''27''': 102304
Immune-Related Prognostic Model in Colon Cancer: A Gene Expression-Based Study. Description: Yang, Haojie, et al. Immune-Related Prognostic Model in Colon Cancer: A Gene Expression-Based Study. ''Front Genet''. 2020; '''11''': 401
Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model: A pilot study. Description: Chang Junior, Joao, et al. Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model: A pilot study. ''PLoS One''. 2020; '''15''' (9):e0238199
Improving the Assessment of Mild Cognitive Impairment in Advanced Age With a Novel Multi-Feature Automated Speech and Language Analysis of Verbal Fluency. Description: Chen, Liu, et al. Improving the Assessment of Mild Cognitive Impairment in Advanced Age With a Novel Multi-Feature Automated Speech and Language Analysis of Verbal Fluency. ''Front Psychol''. 2020; '''11''': 535
Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database. Description: Inaguma, Daijo, et al. Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database. ''PLoS One''. 2020; '''15''' (9):e0239262
Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer's Disease Neuroimaging (ADNI) database. Description: Beltran, Juan Felipe, et al. Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer's Disease Neuroimaging (ADNI) database. ''PLoS One''. 2020; '''15''' (7):e0235663
Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth. Description: Bjerre-Nielsen, Andreas, et al. Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth. ''PLoS One''. 2020; '''15''' (7):e0234003
In silico Comparison of Left Atrial Ablation Techniques That Target the Anatomical, Structural, and Electrical Substrates of Atrial Fibrillation. Description: Roney, Caroline H, et al. In silico Comparison of Left Atrial Ablation Techniques That Target the Anatomical, Structural, and Electrical Substrates of Atrial Fibrillation. ''Front Physiol''. 2020; '''11''': 1145
Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling. Description: Chierici, Marco, et al. Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling. ''Front Oncol''. 2020; '''10''': 1065
Interpreting neural decoding models using grouped model reliance. Description: Valentin, Simon, et al. Interpreting neural decoding models using grouped model reliance. ''PLoS Comput Biol''. 2020 Jan; '''16''' (1):e1007148
Iris sanguinea is conspecific with I. sibirica (Iridaceae) according to morphology and plastid DNA sequence data. Description: Boltenkov, Eugeny, et al. Iris sanguinea is conspecific with I. sibirica (Iridaceae) according to morphology and plastid DNA sequence data. ''PeerJ''. 2020; '''8''': e10088
Large-Scale Structure-Based Prediction of Stable Peptide Binding to Class I HLAs Using Random Forests. Description: Abella, Jayvee R, et al. Large-Scale Structure-Based Prediction of Stable Peptide Binding to Class I HLAs Using Random Forests. ''Front Immunol''. 2020; '''11''': 1583
Learning to localize sounds in a highly reverberant environment: Machine-learning tracking of dolphin whistle-like sounds in a pool. Description: Woodward, Sean F, et al. Learning to localize sounds in a highly reverberant environment: Machine-learning tracking of dolphin whistle-like sounds in a pool. ''PLoS One''. 2020; '''15''' (6):e0235155
Link-centric analysis of variation by demographics in mobile phone communication patterns. Description: Fudolig, Mikaela Irene D, et al. Link-centric analysis of variation by demographics in mobile phone communication patterns. ''PLoS One''. 2020; '''15''' (1):e0227037
Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population. Description: Ward, Andrew, et al. Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population. ''NPJ Digit Med''. 2020; '''3''': 125
Machine Learning Approach to Predict Risk of 90-Day Hospital Readmissions in Patients With Atrial Fibrillation: Implications for Quality Improvement in Healthcare. Description: Hung, Man, et al. Machine Learning Approach to Predict Risk of 90-Day Hospital Readmissions in Patients With Atrial Fibrillation: Implications for Quality Improvement in Healthcare. ''Health Serv Res Manag Epidemiol''. 2020 Jan-Dec; '''7''': 2333392820961887
Machine Learning-Based Radiomics Predicting Tumor Grades and Expression of Multiple Pathologic Biomarkers in Gliomas. Description: Gao, Min, et al. Machine Learning-Based Radiomics Predicting Tumor Grades and Expression of Multiple Pathologic Biomarkers in Gliomas. ''Front Oncol''. 2020; '''10''': 1676
Machine-Learning Classifiers in Discrimination of Lesions Located in the Anterior Skull Base. Description: Zhang, Yang, et al. Machine-Learning Classifiers in Discrimination of Lesions Located in the Anterior Skull Base. ''Front Oncol''. 2020; '''10''': 752
Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz). Description: Selvaraj, Michael Gomez, et al. Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz). ''Plant Methods''. 2020; '''16''': 87
Machine learning for syndromic surveillance using veterinary necropsy reports. Description: Bollig, Nathan, et al. Machine learning for syndromic surveillance using veterinary necropsy reports. ''PLoS One''. 2020; '''15''' (2):e0228105
mAML: an automated machine learning pipeline with a microbiome repository for human disease classification. Description: Yang, Fenglong, et al. mAML: an automated machine learning pipeline with a microbiome repository for human disease classification. ''Database (Oxford)''. 2020 Jan 1; '''2020''':
Man vs. machine: Predicting hospital bed demand from an emergency department. Description: Lucini, Filipe Rissieri, et al. Man vs. machine: Predicting hospital bed demand from an emergency department. ''PLoS One''. 2020; '''15''' (8):e0237937
Medical Informatics Platform (MIP): A Pilot Study Across Clinical Italian Cohorts. Description: Redolfi, Alberto, et al. Medical Informatics Platform (MIP): A Pilot Study Across Clinical Italian Cohorts. ''Front Neurol''. 2020; '''11''': 1021
Microbiotyping the Sinonasal Microbiome. Description: Bassiouni, Ahmed, et al. Microbiotyping the Sinonasal Microbiome. ''Front Cell Infect Microbiol''. 2020; '''10''': 137
MISTIC: A prediction tool to reveal disease-relevant deleterious missense variants. Description: Chennen, Kirsley, et al. MISTIC: A prediction tool to reveal disease-relevant deleterious missense variants. ''PLoS One''. 2020; '''15''' (7):e0236962
Modeling cannabinoids from a large-scale sample of Cannabis sativa chemotypes. Description: Vergara, Daniela, et al. Modeling cannabinoids from a large-scale sample of Cannabis sativa chemotypes. ''PLoS One''. 2020; '''15''' (9):e0236878
Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron. Description: Car, Zlatan, et al. Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron. ''Comput Math Methods Med''. 2020; '''2020''': 5714714
Multi-Dimensional, Short-Timescale Quantification of Parkinson's Disease and Essential Tremor Motor Dysfunction. Description: Sanderson, John B, et al. Multi-Dimensional, Short-Timescale Quantification of Parkinson's Disease and Essential Tremor Motor Dysfunction. ''Front Neurol''. 2020; '''11''': 886
Multifractal and Entropy-Based Analysis of Delta Band Neural Activity Reveals Altered Functional Connectivity Dynamics in Schizophrenia. Description: Racz, Frigyes Samuel, et al. Multifractal and Entropy-Based Analysis of Delta Band Neural Activity Reveals Altered Functional Connectivity Dynamics in Schizophrenia. ''Front Syst Neurosci''. 2020; '''14''': 49
MU-PseUDeep: A deep learning method for prediction of pseudouridine sites. Description: Khan, Saad M, et al. MU-PseUDeep: A deep learning method for prediction of pseudouridine sites. ''Comput Struct Biotechnol J''. 2020; '''18''': 1877-1883
Neonatal morphometric similarity mapping for predicting brain age and characterizing neuroanatomic variation associated with preterm birth. Description: Galdi, Paola, et al. Neonatal morphometric similarity mapping for predicting brain age and characterizing neuroanatomic variation associated with preterm birth. ''Neuroimage Clin''. 2020; '''25''': 102195
Neoplastic and Non-neoplastic Acute Intracerebral Hemorrhage in CT Brain Scans: Machine Learning-Based Prediction Using Radiomic Image Features. Description: Nawabi, Jawed, et al. Neoplastic and Non-neoplastic Acute Intracerebral Hemorrhage in CT Brain Scans: Machine Learning-Based Prediction Using Radiomic Image Features. ''Front Neurol''. 2020; '''11''': 285
Novel morphological multi-scale evaluation system for quality assessment of decellularized liver scaffolds. Description: Moulisova, Vladimira, et al. Novel morphological multi-scale evaluation system for quality assessment of decellularized liver scaffolds. ''J Tissue Eng''. 2020 Jan-Dec; '''11''': 2041731420921121
Novel translational phenotypes and biomarkers for creatine transporter deficiency. Description: Mazziotti, Raffaele, et al. Novel translational phenotypes and biomarkers for creatine transporter deficiency. ''Brain Commun''. 2020; '''2''' (2):fcaa089
Obtaining new resolutions in carnivore tooth pit morphological analyses: A methodological update for digital taphonomy. Description: Courtenay, Lloyd A, et al. Obtaining new resolutions in carnivore tooth pit morphological analyses: A methodological update for digital taphonomy. ''PLoS One''. 2020; '''15''' (10):e0240328
Ontological analyses reveal clinically-significant clear cell renal cell carcinoma subtypes with convergent evolutionary trajectories into an aggressive type. Description: Cai, Qi, et al. Ontological analyses reveal clinically-significant clear cell renal cell carcinoma subtypes with convergent evolutionary trajectories into an aggressive type. ''EBioMedicine''. 2020 Jan; '''51''': 102526
PCA-based method for managing and analyzing single-spot analysis referenced to spectral imaging for artworks diagnostics. Description: Marchioro, Giacomo, et al. PCA-based method for managing and analyzing single-spot analysis referenced to spectral imaging for artworks diagnostics. ''MethodsX''. 2020; '''7''': 100799
PredDBP-Stack: Prediction of DNA-Binding Proteins from HMM Profiles using a Stacked Ensemble Method. Description: Wang, Jun, et al. PredDBP-Stack: Prediction of DNA-Binding Proteins from HMM Profiles using a Stacked Ensemble Method. ''Biomed Res Int''. 2020; '''2020''': 7297631
Predicting Bacteriophage Enzymes and Hydrolases by Using Combined Features. Description: Li, Hong-Fei, et al. Predicting Bacteriophage Enzymes and Hydrolases by Using Combined Features. ''Front Bioeng Biotechnol''. 2020; '''8''': 183
Predicting gene regulatory regions with a convolutional neural network for processing double-strand genome sequence information. Description: Onimaru, Koh, et al. Predicting gene regulatory regions with a convolutional neural network for processing double-strand genome sequence information. ''PLoS One''. 2020; '''15''' (7):e0235748
Predicting in vivo MRI Gradient-Field Induced Voltage Levels on Implanted Deep Brain Stimulation Systems Using Neural Networks. Description: Erturk, M Arcan, et al. Predicting in vivo MRI Gradient-Field Induced Voltage Levels on Implanted Deep Brain Stimulation Systems Using Neural Networks. ''Front Hum Neurosci''. 2020; '''14''': 34
Prediction of human fetal-maternal blood concentration ratio of chemicals. Description: Wang, Chia-Chi, et al. Prediction of human fetal-maternal blood concentration ratio of chemicals. ''PeerJ''. 2020; '''8''': e9562
Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method. Description: Yang, Xiaodi, et al. Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method. ''Comput Struct Biotechnol J''. 2020; '''18''': 153-161
Predictive modeling for trustworthiness and other subjective text properties in online nutrition and health communication. Description: Kauttonen, Janne, et al. Predictive modeling for trustworthiness and other subjective text properties in online nutrition and health communication. ''PLoS One''. 2020; '''15''' (8):e0237144
Prognostic analysis of histopathological images using pre-trained convolutional neural networks: application to hepatocellular carcinoma. Description: Lu, Liangqun, et al. Prognostic analysis of histopathological images using pre-trained convolutional neural networks: application to hepatocellular carcinoma. ''PeerJ''. 2020; '''8''': e8668
Proteomic Profiling as a Diagnostic Biomarker for Discriminating Between Bipolar and Unipolar Depression. Description: Kittel-Schneider, Sarah, et al. Proteomic Profiling as a Diagnostic Biomarker for Discriminating Between Bipolar and Unipolar Depression. ''Front Psychiatry''. 2020; '''11''': 189
Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model. Description: Wichert, Ines, et al. Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model. ''Front Neuroinform''. 2020; '''14''': 31
Question classification based on Bloom's taxonomy cognitive domain using modified TF-IDF and word2vec. Description: Mohammed, Manal, et al. Question classification based on Bloom's taxonomy cognitive domain using modified TF-IDF and word2vec. ''PLoS One''. 2020; '''15''' (3):e0230442
Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy. Description: Shao, Lizhi, et al. Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy. ''Theranostics''. 2020; '''10''' (22):10200-10212
Radiomics and Machine Learning Differentiate Soft-Tissue Lipoma and Liposarcoma Better than Musculoskeletal Radiologists. Description: Malinauskaite, Ieva, et al. Radiomics and Machine Learning Differentiate Soft-Tissue Lipoma and Liposarcoma Better than Musculoskeletal Radiologists. ''Sarcoma''. 2020; '''2020''': 7163453
Radiomics Features Predict CIC Mutation Status in Lower Grade Glioma. Description: Zhang, Luyuan, et al. Radiomics Features Predict CIC Mutation Status in Lower Grade Glioma. ''Front Oncol''. 2020; '''10''': 937
Recognition of Mitochondrial Proteins in Plasmodium Based on the Tripeptide Composition. Description: Bian, Haodong, et al. Recognition of Mitochondrial Proteins in Plasmodium Based on the Tripeptide Composition. ''Front Cell Dev Biol''. 2020; '''8''': 578901
Recognizing hotspots in Brief Eclectic Psychotherapy for PTSD by text and audio mining. Description: Wiegersma, Sytske, et al. Recognizing hotspots in Brief Eclectic Psychotherapy for PTSD by text and audio mining. ''Eur J Psychotraumatol''. 2020; '''11''' (1):1726672
Replicable simulation of distal hot water premise plumbing using convectively-mixed pipe reactors. Description: Spencer, M Storme, et al. Replicable simulation of distal hot water premise plumbing using convectively-mixed pipe reactors. ''PLoS One''. 2020; '''15''' (9):e0238385
RF-PseU: A Random Forest Predictor for RNA Pseudouridine Sites. Description: Lv, Zhibin, et al. RF-PseU: A Random Forest Predictor for RNA Pseudouridine Sites. ''Front Bioeng Biotechnol''. 2020; '''8''': 134
Robust Distance Measures for kNN Classification of Cancer Data. Description: Ehsani, Rezvan, et al. Robust Distance Measures for kNN Classification of Cancer Data. ''Cancer Inform''. 2020; '''19''': 1176935120965542
Severity Detection for the Coronavirus Disease 2019 (COVID-19) Patients Using a Machine Learning Model Based on the Blood and Urine Tests. Description: Yao, Haochen, et al. Severity Detection for the Coronavirus Disease 2019 (COVID-19) Patients Using a Machine Learning Model Based on the Blood and Urine Tests. ''Front Cell Dev Biol''. 2020; '''8''': 683
Short k-mer abundance profiles yield robust machine learning features and accurate classifiers for RNA viruses. Description: Alam, Md Nafis Ul, et al. Short k-mer abundance profiles yield robust machine learning features and accurate classifiers for RNA viruses. ''PLoS One''. 2020; '''15''' (9):e0239381
Site-specific machine learning predictive fertilization models for potato crops in Eastern Canada. Description: Coulibali, Zonlehoua, et al. Site-specific machine learning predictive fertilization models for potato crops in Eastern Canada. ''PLoS One''. 2020; '''15''' (8):e0230888
Spatial Information of Somatosensory Stimuli in the Brain: Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data. Description: Lee, In-Seon, et al. Spatial Information of Somatosensory Stimuli in the Brain: Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data. ''Neural Plast''. 2020; '''2020''': 8307580
Stable biomarker identification for predicting schizophrenia in the human connectome. Description: Gutierrez-Gomez, Leonardo, et al. Stable biomarker identification for predicting schizophrenia in the human connectome. ''Neuroimage Clin''. 2020; '''27''': 102316
Structures and dynamics of the novel S1/S2 protease cleavage site loop of the SARS-CoV-2 spike glycoprotein. Description: Lemmin, Thomas, et al. Structures and dynamics of the novel S1/S2 protease cleavage site loop of the SARS-CoV-2 spike glycoprotein. ''J Struct Biol X''. 2020; '''4''': 100038
Supervised Machine Learning Applied to Automate Flash and Prolonged Capillary Refill Detection by Pulse Oximetry. Description: Hunter, Ryan Brandon, et al. Supervised Machine Learning Applied to Automate Flash and Prolonged Capillary Refill Detection by Pulse Oximetry. ''Front Physiol''. 2020; '''11''': 564589
tbiExtractor: A framework for extracting traumatic brain injury common data elements from radiology reports. Description: Mahan, Margaret, et al. tbiExtractor: A framework for extracting traumatic brain injury common data elements from radiology reports. ''PLoS One''. 2020; '''15''' (7):e0214775
The citation advantage of linking publications to research data. Description: Colavizza, Giovanni, et al. The citation advantage of linking publications to research data. ''PLoS One''. 2020; '''15''' (4):e0230416
The physiological effects of noninvasive brain stimulation fundamentally differ across the human cortex. Description: Castrillon, Gabriel, et al. The physiological effects of noninvasive brain stimulation fundamentally differ across the human cortex. ''Sci Adv''. 2020 Jan; '''6''' (5):eaay2739
Time-series cardiovascular risk factors and receipt of screening for breast, cervical, and colon cancer: The Guideline Advantage. Description: Guo, Aixia, et al. Time-series cardiovascular risk factors and receipt of screening for breast, cervical, and colon cancer: The Guideline Advantage. ''PLoS One''. 2020; '''15''' (8):e0236836
Tissue-guided LASSO for prediction of clinical drug response using preclinical samples. Description: Huang, Edward W, et al. Tissue-guided LASSO for prediction of clinical drug response using preclinical samples. ''PLoS Comput Biol''. 2020 Jan; '''16''' (1):e1007607
Total Functional Score of Enhancer Elements Identifies Lineage-Specific Enhancers That Drive Differentiation of Pancreatic Cells. Description: Malladi, Venkat S, et al. Total Functional Score of Enhancer Elements Identifies Lineage-Specific Enhancers That Drive Differentiation of Pancreatic Cells. ''Bioinform Biol Insights''. 2020; '''14''': 1177932220938063
Toward automated classification of pathological transcranial Doppler waveform morphology via spectral clustering. Description: Thorpe, Samuel G, et al. Toward automated classification of pathological transcranial Doppler waveform morphology via spectral clustering. ''PLoS One''. 2020; '''15''' (2):e0228642
Towards story-based classification of movie scenes. Description: Liu, Chang, et al. Towards story-based classification of movie scenes. ''PLoS One''. 2020; '''15''' (2):e0228579
Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). Description: Drimalla, Hanna, et al. Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). ''NPJ Digit Med''. 2020; '''3''': 25
Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approach. Description: Carrillo-Larco, Rodrigo M, et al. Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approach. ''Wellcome Open Res''. 2020; '''5''': 56
Using machine learning for predicting cervical cancer from Swedish electronic health records by mining hierarchical representations. Description: Weegar, Rebecka, et al. Using machine learning for predicting cervical cancer from Swedish electronic health records by mining hierarchical representations. ''PLoS One''. 2020; '''15''' (8):e0237911
Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients. Description: Dovgan, Erik, et al. Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients. ''PLoS One''. 2020; '''15''' (6):e0233976
Wheat ear counting using K-means clustering segmentation and convolutional neural network. Description: Xu, Xin, et al. Wheat ear counting using K-means clustering segmentation and convolutional neural network. ''Plant Methods''. 2020; '''16''': 106
Whole slide images reflect DNA methylation patterns of human tumors. Description: Zheng, Hong, et al. Whole slide images reflect DNA methylation patterns of human tumors. ''NPJ Genom Med''. 2020; '''5''': 11
Yield prediction by machine learning from UAS-based mulit-sensor data fusion in soybean. Description: Herrero-Huerta, Monica, et al. Yield prediction by machine learning from UAS-based mulit-sensor data fusion in soybean. ''Plant Methods''. 2020; '''16''': 78
Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation. Description: Tiwari, Premanand, et al. Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation. ''JAMA Netw Open''. 2020 Jan 3; '''3''' (1):e1919396
Evolving knowledge graph similarity for supervised learning in complex biomedical domains. Description: Sousa, Rita T, et al. Evolving knowledge graph similarity for supervised learning in complex biomedical domains. ''BMC Bioinformatics''. 2020 Jan 3; '''21''' (1):6
ROCK inhibitors upregulate the neuroprotective Parkin-mediated mitophagy pathway. Description: Moskal, Natalia, et al. ROCK inhibitors upregulate the neuroprotective Parkin-mediated mitophagy pathway. ''Nat Commun''. 2020 Jan 3; '''11''' (1):88
Towards Mixed-Initiative Human-Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction. Description: Chanel, Caroline P C, et al. Towards Mixed-Initiative Human-Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction. ''Sensors (Basel)''. 2020 Jan 5; '''20''' (1):
Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression. Description: Hua, Xiumeng, et al. Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression. ''BMC Med''. 2020 Jan 6; '''18''' (1):2
Novel prognostication of patients with spinal and pelvic chondrosarcoma using deep survival neural networks. Description: Ryu, Sung Mo, et al. Novel prognostication of patients with spinal and pelvic chondrosarcoma using deep survival neural networks. ''BMC Med Inform Decis Mak''. 2020 Jan 6; '''20''' (1):3
SETDB1-Mediated Cell Fate Transition between 2C-Like and Pluripotent States. Description: Wu, Kaixin, et al. SETDB1-Mediated Cell Fate Transition between 2C-Like and Pluripotent States. ''Cell Rep''. 2020 Jan 7; '''30''' (1):25-36.e6
Datasets and their influence on the development of computer assisted synthesis planning tools in the pharmaceutical domain. Description: Thakkar, Amol, et al. Datasets and their influence on the development of computer assisted synthesis planning tools in the pharmaceutical domain. ''Chem Sci''. 2020 Jan 7; '''11''' (1):154-168
An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection. Description: Gomes, Pedro A B, et al. An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection. ''Sci Rep''. 2020 Jan 8; '''10''' (1):9
Mechanistic insights into transcription factor cooperativity and its impact on protein-phenotype interactions. Description: Ibarra, Ignacio L, et al. Mechanistic insights into transcription factor cooperativity and its impact on protein-phenotype interactions. ''Nat Commun''. 2020 Jan 8; '''11''' (1):124
Computational exploration of molecular receptive fields in the olfactory bulb reveals a glomerulus-centric chemical map. Description: Soelter, Jan, et al. Computational exploration of molecular receptive fields in the olfactory bulb reveals a glomerulus-centric chemical map. ''Sci Rep''. 2020 Jan 9; '''10''' (1):77
Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks. Description: Marouf, Mohamed, et al. Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks. ''Nat Commun''. 2020 Jan 9; '''11''' (1):166
Analysis of Relevant Features from Photoplethysmographic Signals for Atrial Fibrillation Classification. Description: Millan, Cesar A, et al. Analysis of Relevant Features from Photoplethysmographic Signals for Atrial Fibrillation Classification. ''Int J Environ Res Public Health''. 2020 Jan 13; '''17''' (2):
Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques. Description: Rashidi, Hooman H, et al. Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques. ''Sci Rep''. 2020 Jan 14; '''10''' (1):205
Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis. Description: Schafflick, David, et al. Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis. ''Nat Commun''. 2020 Jan 14; '''11''' (1):247
Predictions of Cu, Zn, and Cd Concentrations in Soil Using Portable X-Ray Fluorescence Measurements. Description: Adler, Karl, et al. Predictions of Cu, Zn, and Cd Concentrations in Soil Using Portable X-Ray Fluorescence Measurements. ''Sensors (Basel)''. 2020 Jan 14; '''20''' (2):
An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy. Description: Balan, Oana, et al. An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy. ''Sensors (Basel)''. 2020 Jan 15; '''20''' (2):
Campylobacter Abundance in Breastfed Infants and Identification of a New Species in the Global Enterics Multicenter Study. Description: Bian, Xiaoming, et al. Campylobacter Abundance in Breastfed Infants and Identification of a New Species in the Global Enterics Multicenter Study. ''mSphere''. 2020 Jan 15; '''5''' (1):
Diverse approaches to predicting drug-induced liver injury using gene-expression profiles. Description: Sumsion, G Rex, et al. Diverse approaches to predicting drug-induced liver injury using gene-expression profiles. ''Biol Direct''. 2020 Jan 15; '''15''' (1):1
Doing More with Less: A Comparison of 16S Hypervariable Regions in Search of Defining the Shrimp Microbiota. Description: Garcia-Lopez, Rodrigo, et al. Doing More with Less: A Comparison of 16S Hypervariable Regions in Search of Defining the Shrimp Microbiota. ''Microorganisms''. 2020 Jan 17; '''8''' (1):
Circuit Mechanisms Underlying Chromatic Encoding in Drosophila Photoreceptors. Description: Heath, Sarah L, et al. Circuit Mechanisms Underlying Chromatic Encoding in Drosophila Photoreceptors. ''Curr Biol''. 2020 Jan 20; '''30''' (2):264-275.e8
Prediction of Acquired Antimicrobial Resistance for Multiple Bacterial Species Using Neural Networks. Description: Aytan-Aktug, D, et al. Prediction of Acquired Antimicrobial Resistance for Multiple Bacterial Species Using Neural Networks. ''mSystems''. 2020 Jan 21; '''5''' (1):
Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping. Description: Williams, Alex H, et al. Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping. ''Neuron''. 2020 Jan 22; '''105''' (2):246-259.e8
Guiding the Refinement of Biochemical Knowledgebases with Ensembles of Metabolic Networks and Machine Learning. Description: Medlock, Gregory L, et al. Guiding the Refinement of Biochemical Knowledgebases with Ensembles of Metabolic Networks and Machine Learning. ''Cell Syst''. 2020 Jan 22; '''10''' (1):109-119.e3
Integrating computational lead optimization diagnostics with analog design and candidate selection. Description: Yonchev, Dimitar, et al. Integrating computational lead optimization diagnostics with analog design and candidate selection. ''Future Sci OA''. 2020 Jan 24; '''6''' (3):FSO451
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Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments. Description: Jackson, Christopher A, et al. Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments. ''Elife''. 2020 Jan 27; '''9''':
Internal short circuit detection in Li-ion batteries using supervised machine learning. Description: Naha, Arunava, et al. Internal short circuit detection in Li-ion batteries using supervised machine learning. ''Sci Rep''. 2020 Jan 28; '''10''' (1):1301
Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories. Description: Lopez-Vazquez, Vanesa, et al. Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories. ''Sensors (Basel)''. 2020 Jan 28; '''20''' (3):
Chromatin mapping and single-cell immune profiling define the temporal dynamics of ibrutinib response in CLL. Description: Rendeiro, Andre F, et al. Chromatin mapping and single-cell immune profiling define the temporal dynamics of ibrutinib response in CLL. ''Nat Commun''. 2020 Jan 29; '''11''' (1):577
Single-cell transcriptomics identifies CD44 as a marker and regulator of endothelial to haematopoietic transition. Description: Oatley, Morgan, et al. Single-cell transcriptomics identifies CD44 as a marker and regulator of endothelial to haematopoietic transition. ''Nat Commun''. 2020 Jan 29; '''11''' (1):586
Computational Detection of Breast Cancer Invasiveness with DNA Methylation Biomarkers. Description: Wang, Chunyu, et al. Computational Detection of Breast Cancer Invasiveness with DNA Methylation Biomarkers. ''Cells''. 2020 Jan 30; '''9''' (2):
Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours. Description: Iizuka, Osamu, et al. Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours. ''Sci Rep''. 2020 Jan 30; '''10''' (1):1504
Dissecting the factors shaping fish skin microbiomes in a heterogeneous inland water system. Description: Krotman, Yaron, et al. Dissecting the factors shaping fish skin microbiomes in a heterogeneous inland water system. ''Microbiome''. 2020 Jan 31; '''8''' (1):9
sgRNA-PSM: Predict sgRNAs On-Target Activity Based on Position-Specific Mismatch. Description: Liu, Bin, et al. sgRNA-PSM: Predict sgRNAs On-Target Activity Based on Position-Specific Mismatch. ''Mol Ther Nucleic Acids''. 2020 Jan 31; '''20''': 323-330
Expert-level diagnosis of nasal polyps using deep learning on whole-slide imaging. Description: Wu, Qingwu, et al. Expert-level diagnosis of nasal polyps using deep learning on whole-slide imaging. ''J Allergy Clin Immunol''. 2020 Feb; '''145''' (2):698-701.e6
Combining genomics and epidemiology to track mumps virus transmission in the United States. Description: Wohl, Shirlee, et al. Combining genomics and epidemiology to track mumps virus transmission in the United States. ''PLoS Biol''. 2020 Feb; '''18''' (2):e3000611
GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins. Description: Wang, Chenwei, et al. GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins. ''Genomics Proteomics Bioinformatics''. 2020 Feb; '''18''' (1):72-80
Nonlinear mixed selectivity supports reliable neural computation. Description: Johnston, W Jeffrey, et al. Nonlinear mixed selectivity supports reliable neural computation. ''PLoS Comput Biol''. 2020 Feb; '''16''' (2):e1007544
Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records. Description: Tang, Shengpu, et al. Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records. ''JCO Clin Cancer Inform''. 2020 Feb; '''4''': 128-135
Realistic assumptions about spatial locations and clustering of premises matter for models of foot-and-mouth disease spread in the United States. Description: Sellman, Stefan, et al. Realistic assumptions about spatial locations and clustering of premises matter for models of foot-and-mouth disease spread in the United States. ''PLoS Comput Biol''. 2020 Feb; '''16''' (2):e1007641
Using Rapid Chlorophyll Fluorescence Transients to Classify Vitis Genotypes. Description: Marques da Silva, Jorge, et al. Using Rapid Chlorophyll Fluorescence Transients to Classify Vitis Genotypes. ''Plants (Basel)''. 2020 Feb 1; '''9''' (2):
Altered Hippocampal Epigenetic Regulation Underlying Reduced Cognitive Development in Response to Early Life Environmental Insults. Description: Schachtschneider, Kyle M, et al. Altered Hippocampal Epigenetic Regulation Underlying Reduced Cognitive Development in Response to Early Life Environmental Insults. ''Genes (Basel)''. 2020 Feb 4; '''11''' (2):
Changes in microbiome and metabolomic profiles of fecal samples stored with stabilizing solution at room temperature: a pilot study. Description: Lim, Mi Young, et al. Changes in microbiome and metabolomic profiles of fecal samples stored with stabilizing solution at room temperature: a pilot study. ''Sci Rep''. 2020 Feb 4; '''10''' (1):1789
Identifying glycan motifs using a novel subtree mining approach. Description: Coff, Lachlan, et al. Identifying glycan motifs using a novel subtree mining approach. ''BMC Bioinformatics''. 2020 Feb 4; '''21''' (1):42
M3C: Monte Carlo reference-based consensus clustering. Description: John, Christopher R, et al. M3C: Monte Carlo reference-based consensus clustering. ''Sci Rep''. 2020 Feb 4; '''10''' (1):1816
Molecular Insights from Conformational Ensembles via Machine Learning. Description: Fleetwood, Oliver, et al. Molecular Insights from Conformational Ensembles via Machine Learning. ''Biophys J''. 2020 Feb 4; '''118''' (3):765-780
Two-Stream Attention Network for Pain Recognition from Video Sequences. Description: Thiam, Patrick, et al. Two-Stream Attention Network for Pain Recognition from Video Sequences. ''Sensors (Basel)''. 2020 Feb 4; '''20''' (3):
Ranking environmental degradation trends of plastic marine debris based on physical properties and molecular structure. Description: Min, Kyungjun, et al. Ranking environmental degradation trends of plastic marine debris based on physical properties and molecular structure. ''Nat Commun''. 2020 Feb 5; '''11''' (1):727
Identification of gene signature for treatment response to guide precision oncology in clear-cell renal cell carcinoma. Description: D'Costa, Ninadh M, et al. Identification of gene signature for treatment response to guide precision oncology in clear-cell renal cell carcinoma. ''Sci Rep''. 2020 Feb 6; '''10''' (1):2026
Identification of the relative timing of infectiousness and symptom onset for outbreak control. Description: Cope, Robert C, et al. Identification of the relative timing of infectiousness and symptom onset for outbreak control. ''J Theor Biol''. 2020 Feb 7; '''486''': 110079
Teleconsultations between Patients and Healthcare Professionals in Primary Care in Catalonia: The Evaluation of Text Classification Algorithms Using Supervised Machine Learning. Description: Lopez Segui, Francesc, et al. Teleconsultations between Patients and Healthcare Professionals in Primary Care in Catalonia: The Evaluation of Text Classification Algorithms Using Supervised Machine Learning. ''Int J Environ Res Public Health''. 2020 Feb 9; '''17''' (3):
Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression. Description: Cuomo, Anna S E, et al. Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression. ''Nat Commun''. 2020 Feb 10; '''11''' (1):810
Temporal dynamics of protein complex formation and dissociation during human cytomegalovirus infection. Description: Hashimoto, Yutaka, et al. Temporal dynamics of protein complex formation and dissociation during human cytomegalovirus infection. ''Nat Commun''. 2020 Feb 10; '''11''' (1):806
Combined Linear Interaction Energy and Alchemical Solvation Free-Energy Approach for Protein-Binding Affinity Computation. Description: Rifai, Eko Aditya, et al. Combined Linear Interaction Energy and Alchemical Solvation Free-Energy Approach for Protein-Binding Affinity Computation. ''J Chem Theory Comput''. 2020 Feb 11; '''16''' (2):1300-1310
Machine learning-aided analyses of thousands of draft genomes reveal specific features of activated sludge processes. Description: Ye, Lin, et al. Machine learning-aided analyses of thousands of draft genomes reveal specific features of activated sludge processes. ''Microbiome''. 2020 Feb 11; '''8''' (1):16
Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level. Description: Yoo, Tae Keun, et al. Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level. ''Transl Vis Sci Technol''. 2020 Feb 12; '''9''' (2):8
Self-reinoculation with fecal flora changes microbiota density and composition leading to an altered bile-acid profile in the mouse small intestine. Description: Bogatyrev, Said R, et al. Self-reinoculation with fecal flora changes microbiota density and composition leading to an altered bile-acid profile in the mouse small intestine. ''Microbiome''. 2020 Feb 12; '''8''' (1):19
Machine Learning Algorithms for Predicting the Recurrence of Stage IV Colorectal Cancer After Tumor Resection. Description: Xu, Yucan, et al. Machine Learning Algorithms for Predicting the Recurrence of Stage IV Colorectal Cancer After Tumor Resection. ''Sci Rep''. 2020 Feb 13; '''10''' (1):2519
Predictability of drug-induced liver injury by machine learning. Description: Chierici, Marco, et al. Predictability of drug-induced liver injury by machine learning. ''Biol Direct''. 2020 Feb 13; '''15''' (1):3
Prediction of Antioxidant Activity of Cherry Fruits from UAS Multispectral Imagery Using Machine Learning. Description: Karydas, Christos, et al. Prediction of Antioxidant Activity of Cherry Fruits from UAS Multispectral Imagery Using Machine Learning. ''Antioxidants (Basel)''. 2020 Feb 14; '''9''' (2):
Similar genomic patterns of clinical infective endocarditis and oral isolates of Streptococcus sanguinis and Streptococcus gordonii. Description: Iversen, Katrine Hojholt, et al. Similar genomic patterns of clinical infective endocarditis and oral isolates of Streptococcus sanguinis and Streptococcus gordonii. ''Sci Rep''. 2020 Feb 17; '''10''' (1):2728
manta: a Clustering Algorithm for Weighted Ecological Networks. Description: Rottjers, Lisa, et al. manta: a Clustering Algorithm for Weighted Ecological Networks. ''mSystems''. 2020 Feb 18; '''5''' (1):
Optimal Multi-Stage Arrhythmia Classification Approach. Description: Zheng, Jianwei, et al. Optimal Multi-Stage Arrhythmia Classification Approach. ''Sci Rep''. 2020 Feb 19; '''10''' (1):2898
MicroRNAs Cause Accelerated Decay of Short-Tailed Target mRNAs. Description: Eisen, Timothy J, et al. MicroRNAs Cause Accelerated Decay of Short-Tailed Target mRNAs. ''Mol Cell''. 2020 Feb 20; '''77''' (4):775-785.e8
Accurate inference of the full base-pairing structure of RNA by deep mutational scanning and covariation-induced deviation of activity. Description: Zhang, Zhe, et al. Accurate inference of the full base-pairing structure of RNA by deep mutational scanning and covariation-induced deviation of activity. ''Nucleic Acids Res''. 2020 Feb 20; '''48''' (3):1451-1465
A salivary metabolite signature that reflects gingival host-microbe interactions: instability predicts gingivitis susceptibility. Description: Fernandez-Gutierrez, Marcela M, et al. A salivary metabolite signature that reflects gingival host-microbe interactions: instability predicts gingivitis susceptibility. ''Sci Rep''. 2020 Feb 20; '''10''' (1):3008
Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records. Description: Zheng, Le, et al. Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records. ''Transl Psychiatry''. 2020 Feb 20; '''10''' (1):72
Functional Translatome Proteomics Reveal Converging and Dose-Dependent Regulation by mTORC1 and eIF2alpha. Description: Klann, Kevin, et al. Functional Translatome Proteomics Reveal Converging and Dose-Dependent Regulation by mTORC1 and eIF2alpha. ''Mol Cell''. 2020 Feb 20; '''77''' (4):913-925.e4
Quantitative properties of a feedback circuit predict frequency-dependent pattern separation. Description: Braganza, Oliver, et al. Quantitative properties of a feedback circuit predict frequency-dependent pattern separation. ''Elife''. 2020 Feb 20; '''9''':
Resource Usage and Performance Trade-offs for Machine Learning Models in Smart Environments. Description: Preuveneers, Davy, et al. Resource Usage and Performance Trade-offs for Machine Learning Models in Smart Environments. ''Sensors (Basel)''. 2020 Feb 20; '''20''' (4):
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis. Description: Lin, Eugene, et al. A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis. ''BMC Bioinformatics''. 2020 Feb 21; '''21''' (1):64
Using Domain Knowledge for Interpretable and Competitive Multi-Class Human Activity Recognition. Description: Scheurer, Sebastian, et al. Using Domain Knowledge for Interpretable and Competitive Multi-Class Human Activity Recognition. ''Sensors (Basel)''. 2020 Feb 22; '''20''' (4):
Characterization of Esophageal Cancer and ItsAssociation with Influencing Factors in GuangzhouCity, China. Description: Cui, Cheng, et al. Characterization of Esophageal Cancer and ItsAssociation with Influencing Factors in GuangzhouCity, China. ''Int J Environ Res Public Health''. 2020 Feb 26; '''17''' (5):
Detecting Binge Drinking and Alcohol-Related Risky Behaviours from Twitter's Users: An Exploratory Content- and Topology-Based Analysis. Description: Crocamo, Cristina, et al. Detecting Binge Drinking and Alcohol-Related Risky Behaviours from Twitter's Users: An Exploratory Content- and Topology-Based Analysis. ''Int J Environ Res Public Health''. 2020 Feb 26; '''17''' (5):
Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India. Description: Saha, Sunil, et al. Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India. ''Sensors (Basel)''. 2020 Feb 28; '''20''' (5):
An Autoencoder and Machine Learning Model to Predict Suicidal Ideation with Brain Structural Imaging. Description: Weng, Jun-Cheng, et al. An Autoencoder and Machine Learning Model to Predict Suicidal Ideation with Brain Structural Imaging. ''J Clin Med''. 2020 Feb 29; '''9''' (3):
Development and validation of a nomogram to predict coronary heart disease in patients with rheumatoid arthritis in northern China. Description: Wei, Tingting, et al. Development and validation of a nomogram to predict coronary heart disease in patients with rheumatoid arthritis in northern China. ''Aging (Albany NY)''. 2020 Feb 29; '''12''' (4):3190-3204
Efficient identification of novel anti-glioma lead compounds by machine learning models. Description: Neves, Bruno Junior, et al. Efficient identification of novel anti-glioma lead compounds by machine learning models. ''Eur J Med Chem''. 2020 Mar 1; '''189''': 111981
Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning. Description: Orlenko, Alena, et al. Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning. ''Bioinformatics''. 2020 Mar 1; '''36''' (6):1772-1778
Taxonomic resolution of the ribosomal RNA operon in bacteria: implications for its use with long-read sequencing. Description: de Oliveira Martins, Leonardo, et al. Taxonomic resolution of the ribosomal RNA operon in bacteria: implications for its use with long-read sequencing. ''NAR Genom Bioinform''. 2020 Mar; '''2''' (1):lqz016
The effects of glyphosate and AMPA on the mediterranean mussel Mytilus galloprovincialis and its microbiota. Description: Iori, S, et al. The effects of glyphosate and AMPA on the mediterranean mussel Mytilus galloprovincialis and its microbiota. ''Environ Res''. 2020 Mar; '''182''': 108984
10,000 social brains: Sex differentiation in human brain anatomy. Description: Kiesow, Hannah, et al. 10,000 social brains: Sex differentiation in human brain anatomy. ''Sci Adv''. 2020 Mar; '''6''' (12):eaaz1170
Cell-type-specific signaling networks in heterocellular organoids. Description: Qin, Xiao, et al. Cell-type-specific signaling networks in heterocellular organoids. ''Nat Methods''. 2020 Mar; '''17''' (3):335-342
Circuit and Cellular Mechanisms Facilitate the Transformation from Dense to Sparse Coding in the Insect Olfactory System. Description: Betkiewicz, Rinaldo, et al. Circuit and Cellular Mechanisms Facilitate the Transformation from Dense to Sparse Coding in the Insect Olfactory System. ''eNeuro''. 2020 Mar/Apr; '''7''' (2):
Development and validation of a radiomics model based on T2WI images for preoperative prediction of microsatellite instability status in rectal cancer: Study Protocol Clinical Trial (SPIRIT Compliant). Description: Huang, Zixing, et al. Development and validation of a radiomics model based on T2WI images for preoperative prediction of microsatellite instability status in rectal cancer: Study Protocol Clinical Trial (SPIRIT Compliant). ''Medicine (Baltimore)''. 2020 Mar; '''99''' (10):e19428
Diagnosing schizophrenia with network analysis and a machine learning method. Description: Jo, Young Tak, et al. Diagnosing schizophrenia with network analysis and a machine learning method. ''Int J Methods Psychiatr Res''. 2020 Mar; '''29''' (1):e1818
Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens. Description: Hyun, Jason C, et al. Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens. ''PLoS Comput Biol''. 2020 Mar; '''16''' (3):e1007608
Multiplexed single-molecule enzyme activity analysis for counting disease-related proteins in biological samples. Description: Sakamoto, Shingo, et al. Multiplexed single-molecule enzyme activity analysis for counting disease-related proteins in biological samples. ''Sci Adv''. 2020 Mar; '''6''' (11):eaay0888
Observations of grain-boundary phase transformations in an elemental metal. Description: Meiners, Thorsten, et al. Observations of grain-boundary phase transformations in an elemental metal. ''Nature''. 2020 Mar; '''579''' (7799):375-378
Predicting death by suicide following an emergency department visit for parasuicide with administrative health care system data and machine learning. Description: Sanderson, Michael, et al. Predicting death by suicide following an emergency department visit for parasuicide with administrative health care system data and machine learning. ''EClinicalMedicine''. 2020 Mar; '''20''': 100281
The parasitic worm product ES-62 promotes health- and life-span in a high calorie diet-accelerated mouse model of ageing. Description: Crowe, Jenny, et al. The parasitic worm product ES-62 promotes health- and life-span in a high calorie diet-accelerated mouse model of ageing. ''PLoS Pathog''. 2020 Mar; '''16''' (3):e1008391
Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs. Description: Jost, Marco, et al. Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs. ''Nat Biotechnol''. 2020 Mar; '''38''' (3):355-364
Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data. Description: Ashoor, Haitham, et al. Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data. ''Nat Commun''. 2020 Mar 3; '''11''' (1):1173
NanoVar: accurate characterization of patients' genomic structural variants using low-depth nanopore sequencing. Description: Tham, Cheng Yong, et al. NanoVar: accurate characterization of patients' genomic structural variants using low-depth nanopore sequencing. ''Genome Biol''. 2020 Mar 3; '''21''' (1):56
Genetic and phenotypic landscape of the mitochondrial genome in the Japanese population. Description: Yamamoto, Kenichi, et al. Genetic and phenotypic landscape of the mitochondrial genome in the Japanese population. ''Commun Biol''. 2020 Mar 5; '''3''' (1):104
Virtual-freezing fluorescence imaging flow cytometry. Description: Mikami, Hideharu, et al. Virtual-freezing fluorescence imaging flow cytometry. ''Nat Commun''. 2020 Mar 6; '''11''' (1):1162
LRRpredictor-A New LRR Motif Detection Method for Irregular Motifs of Plant NLR Proteins Using an Ensemble of Classifiers. Description: Martin, Eliza C, et al. LRRpredictor-A New LRR Motif Detection Method for Irregular Motifs of Plant NLR Proteins Using an Ensemble of Classifiers. ''Genes (Basel)''. 2020 Mar 8; '''11''' (3):
Temporal chunking as a mechanism for unsupervised learning of task-sets. Description: Bouchacourt, Flora, et al. Temporal chunking as a mechanism for unsupervised learning of task-sets. ''Elife''. 2020 Mar 9; '''9''':
A decision tree to improve identification of pathogenic mutations in clinical practice. Description: do Nascimento, Priscilla Machado, et al. A decision tree to improve identification of pathogenic mutations in clinical practice. ''BMC Med Inform Decis Mak''. 2020 Mar 10; '''20''' (1):52
Stroke Prediction with Machine Learning Methods among Older Chinese. Description: Wu, Yafei, et al. Stroke Prediction with Machine Learning Methods among Older Chinese. ''Int J Environ Res Public Health''. 2020 Mar 12; '''17''' (6):
A learning based framework for diverse biomolecule relationship prediction in molecular association network. Description: Guo, Zhen-Hao, et al. A learning based framework for diverse biomolecule relationship prediction in molecular association network. ''Commun Biol''. 2020 Mar 13; '''3''' (1):118
Prediction Model of Aryl Hydrocarbon Receptor Activation by a Novel QSAR Approach, DeepSnap-Deep Learning. Description: Matsuzaka, Yasunari, et al. Prediction Model of Aryl Hydrocarbon Receptor Activation by a Novel QSAR Approach, DeepSnap-Deep Learning. ''Molecules''. 2020 Mar 13; '''25''' (6):
Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition. Description: Bemister-Buffington, Joseph, et al. Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition. ''Biomolecules''. 2020 Mar 14; '''10''' (3):
STDP Forms Associations between Memory Traces in Networks of Spiking Neurons. Description: Pokorny, Christoph, et al. STDP Forms Associations between Memory Traces in Networks of Spiking Neurons. ''Cereb Cortex''. 2020 Mar 14; '''30''' (3):952-968
An initial experience of machine learning based on multi-sequence texture parameters in magnetic resonance imaging to differentiate glioblastoma from brain metastases. Description: Tateishi, Machiko, et al. An initial experience of machine learning based on multi-sequence texture parameters in magnetic resonance imaging to differentiate glioblastoma from brain metastases. ''J Neurol Sci''. 2020 Mar 15; '''410''': 116514
Predicting future onset of depression among community dwelling adults in the Republic of Korea using a machine learning algorithm. Description: Na, Kyoung-Sae, et al. Predicting future onset of depression among community dwelling adults in the Republic of Korea using a machine learning algorithm. ''Neurosci Lett''. 2020 Mar 16; '''721''': 134804
Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population Data. Description: Syed-Abdul, Shabbir, et al. Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population Data. ''Sci Rep''. 2020 Mar 16; '''10''' (1):4583
Congruency and reactivation aid memory integration through reinstatement of prior knowledge. Description: van Kesteren, Marlieke T R, et al. Congruency and reactivation aid memory integration through reinstatement of prior knowledge. ''Sci Rep''. 2020 Mar 16; '''10''' (1):4776
Defining Epidermal Basal Cell States during Skin Homeostasis and Wound Healing Using Single-Cell Transcriptomics. Description: Haensel, Daniel, et al. Defining Epidermal Basal Cell States during Skin Homeostasis and Wound Healing Using Single-Cell Transcriptomics. ''Cell Rep''. 2020 Mar 17; '''30''' (11):3932-3947.e6
Machine Learning Uncovers Food- and Excipient-Drug Interactions. Description: Reker, Daniel, et al. Machine Learning Uncovers Food- and Excipient-Drug Interactions. ''Cell Rep''. 2020 Mar 17; '''30''' (11):3710-3716.e4
Variant effect predictions capture some aspects of deep mutational scanning experiments. Description: Reeb, Jonas, et al. Variant effect predictions capture some aspects of deep mutational scanning experiments. ''BMC Bioinformatics''. 2020 Mar 17; '''21''' (1):107
Visual Analysis of Odor Interaction Based on Support Vector Regression Method. Description: Yan, Luchun, et al. Visual Analysis of Odor Interaction Based on Support Vector Regression Method. ''Sensors (Basel)''. 2020 Mar 19; '''20''' (6):
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data. Description: Smith, Aaron M, et al. Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data. ''BMC Bioinformatics''. 2020 Mar 20; '''21''' (1):119
The Interplay between Mucosal Microbiota Composition and Host Gene-Expression is Linked with Infliximab Response in Inflammatory Bowel Diseases. Description: Dovrolis, Nikolas, et al. The Interplay between Mucosal Microbiota Composition and Host Gene-Expression is Linked with Infliximab Response in Inflammatory Bowel Diseases. ''Microorganisms''. 2020 Mar 20; '''8''' (3):
Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis. Description: Yperman, Jan, et al. Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis. ''BMC Neurol''. 2020 Mar 21; '''20''' (1):105
High-resolution Repli-Seq defines the temporal choreography of initiation, elongation and termination of replication in mammalian cells. Description: Zhao, Peiyao A, et al. High-resolution Repli-Seq defines the temporal choreography of initiation, elongation and termination of replication in mammalian cells. ''Genome Biol''. 2020 Mar 24; '''21''' (1):76
Pilot study of eruption forecasting with muography using convolutional neural network. Description: Nomura, Yukihiro, et al. Pilot study of eruption forecasting with muography using convolutional neural network. ''Sci Rep''. 2020 Mar 24; '''10''' (1):5272
Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980-2015. Description: Malacova, Eva, et al. Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980-2015. ''Sci Rep''. 2020 Mar 24; '''10''' (1):5354
Spatial Expression Pattern of the Major Ca(2+)-Buffer Proteins in Mouse Retinal Ganglion Cells. Description: Kovacs-Oller, Tamas, et al. Spatial Expression Pattern of the Major Ca(2+)-Buffer Proteins in Mouse Retinal Ganglion Cells. ''Cells''. 2020 Mar 25; '''9''' (4):
Optimization of energy state transition trajectory supports the development of executive function during youth. Description: Cui, Zaixu, et al. Optimization of energy state transition trajectory supports the development of executive function during youth. ''Elife''. 2020 Mar 27; '''9''':
Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer. Description: Asada, Ken, et al. Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer. ''Biomolecules''. 2020 Mar 30; '''10''' (4):
Network-Based Single-Cell RNA-Seq Data Imputation Enhances Cell Type Identification. Description: Zand, Maryam, et al. Network-Based Single-Cell RNA-Seq Data Imputation Enhances Cell Type Identification. ''Genes (Basel)''. 2020 Mar 31; '''11''' (4):
A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging. Description: Peng, AiJun, et al. A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging. ''Eur J Radiol''. 2020 Apr; '''125''': 108892
Chance and necessity in the pleiotropic consequences of adaptation for budding yeast. Description: Jerison, Elizabeth R, et al. Chance and necessity in the pleiotropic consequences of adaptation for budding yeast. ''Nat Ecol Evol''. 2020 Apr; '''4''' (4):601-611
Stratocumulus cloud clearings: statistics from satellites, reanalysis models, and airborne measurements. Description: Dadashazar, Hossein, et al. Stratocumulus cloud clearings: statistics from satellites, reanalysis models, and airborne measurements. ''Atmos Chem Phys''. 2020 Apr; '''20''' (8):4637-4665
Towards automated generation of curated datasets in radiology: Application of natural language processing to unstructured reports exemplified on CT for pulmonary embolism. Description: Weikert, Thomas, et al. Towards automated generation of curated datasets in radiology: Application of natural language processing to unstructured reports exemplified on CT for pulmonary embolism. ''Eur J Radiol''. 2020 Apr; '''125''': 108862
Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning. Description: Jeon, Eunjoo, et al. Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning. ''Healthc Inform Res''. 2020 Apr; '''26''' (2):104-111
Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases. Description: Taujale, Rahil, et al. Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases. ''Elife''. 2020 Apr 1; '''9''':
In vitro characterization of the human segmentation clock. Description: Diaz-Cuadros, Margarete, et al. In vitro characterization of the human segmentation clock. ''Nature''. 2020 Apr; '''580''' (7801):113-118
Loss-of-function tolerance of enhancers in the human genome. Description: Xu, Duo, et al. Loss-of-function tolerance of enhancers in the human genome. ''PLoS Genet''. 2020 Apr; '''16''' (4):e1008663
Machine Learning Methods for Predicting Human-Adaptive Influenza A Viruses Based on Viral Nucleotide Compositions. Description: Li, Jing, et al. Machine Learning Methods for Predicting Human-Adaptive Influenza A Viruses Based on Viral Nucleotide Compositions. ''Mol Biol Evol''. 2020 Apr 1; '''37''' (4):1224-1236
Predicting cell lineages using autoencoders and optimal transport. Description: Yang, Karren Dai, et al. Predicting cell lineages using autoencoders and optimal transport. ''PLoS Comput Biol''. 2020 Apr; '''16''' (4):e1007828
Scedar: A scalable Python package for single-cell RNA-seq exploratory data analysis. Description: Zhang, Yuanchao, et al. Scedar: A scalable Python package for single-cell RNA-seq exploratory data analysis. ''PLoS Comput Biol''. 2020 Apr; '''16''' (4):e1007794
ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data. Description: Piccolo, Stephen R, et al. ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data. ''Gigascience''. 2020 Apr 1; '''9''' (4):
Single-cell chromatin accessibility maps reveal regulatory programs driving early mouse organogenesis. Description: Pijuan-Sala, Blanca, et al. Single-cell chromatin accessibility maps reveal regulatory programs driving early mouse organogenesis. ''Nat Cell Biol''. 2020 Apr; '''22''' (4):487-497
Skin Diseases Classification Using Deep Leaning Methods. Description: UdriStoiu, Anca-Loredana, et al. Skin Diseases Classification Using Deep Leaning Methods. ''Curr Health Sci J''. 2020 Apr-Jun; '''46''' (2):136-140
High-Resolution Motor State Detection in Parkinson's Disease Using Convolutional Neural Networks. Description: Pfister, Franz M J, et al. High-Resolution Motor State Detection in Parkinson's Disease Using Convolutional Neural Networks. ''Sci Rep''. 2020 Apr 3; '''10''' (1):5860
Intraretinal Fluid Pattern Characterization in Optical Coherence Tomography Images. Description: de Moura, Joaquim, et al. Intraretinal Fluid Pattern Characterization in Optical Coherence Tomography Images. ''Sensors (Basel)''. 2020 Apr 3; '''20''' (7):
OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images. Description: Ovchinnikova, Katja, et al. OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images. ''BMC Bioinformatics''. 2020 Apr 3; '''21''' (1):129
Similar history biases for distinct prospective decisions of self-performance. Description: Mei, Ning, et al. Similar history biases for distinct prospective decisions of self-performance. ''Sci Rep''. 2020 Apr 3; '''10''' (1):5854
Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice. Description: Vishwanath, Manoj, et al. Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice. ''Sensors (Basel)''. 2020 Apr 4; '''20''' (7):
Single-Cell Transcriptomes Reveal Diverse Regulatory Strategies for Olfactory Receptor Expression and Axon Targeting. Description: Li, Hongjie, et al. Single-Cell Transcriptomes Reveal Diverse Regulatory Strategies for Olfactory Receptor Expression and Axon Targeting. ''Curr Biol''. 2020 Apr 6; '''30''' (7):1189-1198.e5
A direct role for SNX9 in the biogenesis of filopodia. Description: Jarsch, Iris K, et al. A direct role for SNX9 in the biogenesis of filopodia. ''J Cell Biol''. 2020 Apr 6; '''219''' (4):
Interpretation of HDX Data by Maximum-Entropy Reweighting of Simulated Structural Ensembles. Description: Bradshaw, Richard T, et al. Interpretation of HDX Data by Maximum-Entropy Reweighting of Simulated Structural Ensembles. ''Biophys J''. 2020 Apr 7; '''118''' (7):1649-1664
Dynamic spherical harmonics approach for shape classification of migrating cells. Description: Medyukhina, Anna, et al. Dynamic spherical harmonics approach for shape classification of migrating cells. ''Sci Rep''. 2020 Apr 8; '''10''' (1):6072
A Method for Chlorophyll-a and Suspended Solids Prediction through Remote Sensing and Machine Learning. Description: Silveira Kupssinsku, Lucas, et al. A Method for Chlorophyll-a and Suspended Solids Prediction through Remote Sensing and Machine Learning. ''Sensors (Basel)''. 2020 Apr 9; '''20''' (7):
The Combination of Adaptive Convolutional Neural Network and Bag of Visual Words in Automatic Diagnosis of Third Molar Complications on Dental X-Ray Images. Description: Ngoc, Vo Truong Nhu, et al. The Combination of Adaptive Convolutional Neural Network and Bag of Visual Words in Automatic Diagnosis of Third Molar Complications on Dental X-Ray Images. ''Diagnostics (Basel)''. 2020 Apr 9; '''10''' (4):
A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors. Description: Garcia-Gonzalez, Daniel, et al. A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors. ''Sensors (Basel)''. 2020 Apr 13; '''20''' (8):
Predictive Analytics for Retention in Care in an Urban HIV Clinic. Description: Ramachandran, Arthi, et al. Predictive Analytics for Retention in Care in an Urban HIV Clinic. ''Sci Rep''. 2020 Apr 14; '''10''' (1):6421
The sifting of visual information in the superior colliculus. Description: Lee, Kyu Hyun, et al. The sifting of visual information in the superior colliculus. ''Elife''. 2020 Apr 14; '''9''':
DeltaSCOPE: A new method to quantify 3D biological structures and identify differences in zebrafish forebrain development. Description: Schwartz, Morgan S, et al. DeltaSCOPE: A new method to quantify 3D biological structures and identify differences in zebrafish forebrain development. ''Dev Biol''. 2020 Apr 15; '''460''' (2):115-138
ppiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfaces. Description: Queiroz, Felippe C, et al. ppiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfaces. ''BMC Bioinformatics''. 2020 Apr 15; '''21''' (1):143
The influence of chlorine in indoor swimming pools on the composition of breathing phase of professional swimmers. Description: Swinarew, Andrzej S, et al. The influence of chlorine in indoor swimming pools on the composition of breathing phase of professional swimmers. ''Respir Res''. 2020 Apr 15; '''21''' (1):88
Automatic Anomaly Detection on In-Production Manufacturing Machines Using Statistical Learning Methods. Description: Pittino, Federico, et al. Automatic Anomaly Detection on In-Production Manufacturing Machines Using Statistical Learning Methods. ''Sensors (Basel)''. 2020 Apr 20; '''20''' (8):
Application of Meta-Analysis and Machine Learning Methods to the Prediction of Methane Production from In Vitro Mixed Ruminal Micro-Organism Fermentation. Description: Ellis, Jennifer L, et al. Application of Meta-Analysis and Machine Learning Methods to the Prediction of Methane Production from In Vitro Mixed Ruminal Micro-Organism Fermentation. ''Animals (Basel)''. 2020 Apr 21; '''10''' (4):
Population coupling predicts the plasticity of stimulus responses in cortical circuits. Description: Sweeney, Yann, et al. Population coupling predicts the plasticity of stimulus responses in cortical circuits. ''Elife''. 2020 Apr 21; '''9''':
Computational Models Identify Several FDA Approved or Experimental Drugs as Putative Agents Against SARS-CoV-2. Description: Bobrowski, Tesia, et al. Computational Models Identify Several FDA Approved or Experimental Drugs as Putative Agents Against SARS-CoV-2. ''ChemRxiv''. 2020 Apr 22;
Individual Variation in Functional Topography of Association Networks in Youth. Description: Cui, Zaixu, et al. Individual Variation in Functional Topography of Association Networks in Youth. ''Neuron''. 2020 Apr 22; '''106''' (2):340-353.e8
Finding Plastic Patches in Coastal Waters using Optical Satellite Data. Description: Biermann, Lauren, et al. Finding Plastic Patches in Coastal Waters using Optical Satellite Data. ''Sci Rep''. 2020 Apr 23; '''10''' (1):5364
Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study. Description: Daughton, Ashlynn R, et al. Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study. ''JMIR Public Health Surveill''. 2020 Apr 24; '''6''' (2):e14986
Multiparametric Modelling of Survival in Pancreatic Ductal Adenocarcinoma Using Clinical, Histomorphological, Genetic and Image-Derived Parameters. Description: Kaissis, Georgios A, et al. Multiparametric Modelling of Survival in Pancreatic Ductal Adenocarcinoma Using Clinical, Histomorphological, Genetic and Image-Derived Parameters. ''J Clin Med''. 2020 Apr 25; '''9''' (5):
Open Software/Hardware Platform for Human-Computer Interface Based on Electrooculography (EOG) Signal Classification. Description: Martinez-Cervero, Jayro, et al. Open Software/Hardware Platform for Human-Computer Interface Based on Electrooculography (EOG) Signal Classification. ''Sensors (Basel)''. 2020 Apr 25; '''20''' (9):
A Comparative Analysis of Breast Cancer Detection and Diagnosis Using Data Visualization and Machine Learning Applications. Description: Ak, Muhammet Fatih. A Comparative Analysis of Breast Cancer Detection and Diagnosis Using Data Visualization and Machine Learning Applications. ''Healthcare (Basel)''. 2020 Apr 26; '''8''' (2):
LogEvent2vec: LogEvent-to-Vector Based Anomaly Detection for Large-Scale Logs in Internet of Things. Description: Wang, Jin, et al. LogEvent2vec: LogEvent-to-Vector Based Anomaly Detection for Large-Scale Logs in Internet of Things. ''Sensors (Basel)''. 2020 Apr 26; '''20''' (9):
Hyperspectral Classification of Cyperus esculentus Clones and Morphologically Similar Weeds. Description: Lauwers, Marlies, et al. Hyperspectral Classification of Cyperus esculentus Clones and Morphologically Similar Weeds. ''Sensors (Basel)''. 2020 Apr 28; '''20''' (9):
Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study. Description: Yang, Qi, et al. Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study. ''EBioMedicine''. 2020 Apr 28; '''56''': 102777
Time Series Resolution of the Fish Necrobiome Reveals a Decomposer Succession Involving Toxigenic Bacterial Pathogens. Description: Lobb, Briallen, et al. Time Series Resolution of the Fish Necrobiome Reveals a Decomposer Succession Involving Toxigenic Bacterial Pathogens. ''mSystems''. 2020 Apr 28; '''5''' (2):
Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes. Description: Mih, Nathan, et al. Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes. ''BMC Bioinformatics''. 2020 Apr 29; '''21''' (1):162
Highly parallel and efficient single cell mRNA sequencing with paired picoliter chambers. Description: Zhang, Mingxia, et al. Highly parallel and efficient single cell mRNA sequencing with paired picoliter chambers. ''Nat Commun''. 2020 Apr 30; '''11''' (1):2118
Integrated Natural Language Processing and Machine Learning Models for Standardizing Radiotherapy Structure Names. Description: Syed, Khajamoinuddin, et al. Integrated Natural Language Processing and Machine Learning Models for Standardizing Radiotherapy Structure Names. ''Healthcare (Basel)''. 2020 Apr 30; '''8''' (2):
Alterations in the sterol signature of detritivorous fish along pollution gradients in the Rio de la Plata basin (Argentina): From plant to sewage-based diet. Description: Speranza, Eric Demian, et al. Alterations in the sterol signature of detritivorous fish along pollution gradients in the Rio de la Plata basin (Argentina): From plant to sewage-based diet. ''Environ Res''. 2020 May; '''184''': 109351
A machine learning approach to explore cognitive signatures in patients with temporo-mesial epilepsy. Description: Roger, E, et al. A machine learning approach to explore cognitive signatures in patients with temporo-mesial epilepsy. ''Neuropsychologia''. 2020 May; '''142''': 107455
A Shallow Convolutional Neural Network Predicts Prognosis of Lung Cancer Patients in Multi-Institutional CT-Image Data. Description: Mukherjee, Pritam, et al. A Shallow Convolutional Neural Network Predicts Prognosis of Lung Cancer Patients in Multi-Institutional CT-Image Data. ''Nat Mach Intell''. 2020 May; '''2''' (5):274-282
Association of NPAC score with survival after acute myocardial infarction. Description: Li, Christien Kh, et al. Association of NPAC score with survival after acute myocardial infarction. ''Atherosclerosis''. 2020 May; '''301''': 30-36
STHAM: an agent based model for simulating human exposure across high resolution spatiotemporal domains. Description: Lund, Albert M, et al. STHAM: an agent based model for simulating human exposure across high resolution spatiotemporal domains. ''J Expo Sci Environ Epidemiol''. 2020 May; '''30''' (3):459-468
Using extreme gradient boosting to identify origin of replication in Saccharomyces cerevisiae via hybrid features. Description: Do, Duyen Thi, et al. Using extreme gradient boosting to identify origin of replication in Saccharomyces cerevisiae via hybrid features. ''Genomics''. 2020 May; '''112''' (3):2445-2451
Adverse effects of electronic cigarettes on the disease-naive oral microbiome. Description: Ganesan, Sukirth M, et al. Adverse effects of electronic cigarettes on the disease-naive oral microbiome. ''Sci Adv''. 2020 May; '''6''' (22):eaaz0108
A Model for Structured Information Representation in Neural Networks of the Brain. Description: Muller, Michael G, et al. A Model for Structured Information Representation in Neural Networks of the Brain. ''eNeuro''. 2020 May/Jun; '''7''' (3):
Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic Models. Description: Hughes, Michael C, et al. Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic Models. ''JAMA Netw Open''. 2020 May 1; '''3''' (5):e205308
Automated interpretation of the coronary angioscopy with deep convolutional neural networks. Description: Miyoshi, Toru, et al. Automated interpretation of the coronary angioscopy with deep convolutional neural networks. ''Open Heart''. 2020 May; '''7''' (1):
Benchmarking predictions of MHC class I restricted T cell epitopes in a comprehensively studied model system. Description: Paul, Sinu, et al. Benchmarking predictions of MHC class I restricted T cell epitopes in a comprehensively studied model system. ''PLoS Comput Biol''. 2020 May; '''16''' (5):e1007757
CBPtools: a Python package for regional connectivity-based parcellation. Description: Reuter, Niels, et al. CBPtools: a Python package for regional connectivity-based parcellation. ''Brain Struct Funct''. 2020 May; '''225''' (4):1261-1275
Decoding and encoding models reveal the role of mental simulation in the brain representation of meaning. Description: Soto, David, et al. Decoding and encoding models reveal the role of mental simulation in the brain representation of meaning. ''R Soc Open Sci''. 2020 May; '''7''' (5):192043
Designing exceptional gas-separation polymer membranes using machine learning. Description: Barnett, J Wesley, et al. Designing exceptional gas-separation polymer membranes using machine learning. ''Sci Adv''. 2020 May; '''6''' (20):eaaz4301
Development and evaluation of a venous computed tomography radiomics model to predict lymph node metastasis from non-small cell lung cancer. Description: Cong, Mengdi, et al. Development and evaluation of a venous computed tomography radiomics model to predict lymph node metastasis from non-small cell lung cancer. ''Medicine (Baltimore)''. 2020 May; '''99''' (18):e20074
Predicting host taxonomic information from viral genomes: A comparison of feature representations. Description: Young, Francesca, et al. Predicting host taxonomic information from viral genomes: A comparison of feature representations. ''PLoS Comput Biol''. 2020 May; '''16''' (5):e1007894
Predicting Lung Cancer Survival Using Probabilistic Reclassification of TNM Editions With a Bayesian Network. Description: Sieswerda, Melle S, et al. Predicting Lung Cancer Survival Using Probabilistic Reclassification of TNM Editions With a Bayesian Network. ''JCO Clin Cancer Inform''. 2020 May; '''4''': 436-443
Sulfur K-edge micro- and full-field XANES identify marker for preparation method of ultramarine pigment from lapis lazuli in historical paints. Description: Gambardella, Alessa A, et al. Sulfur K-edge micro- and full-field XANES identify marker for preparation method of ultramarine pigment from lapis lazuli in historical paints. ''Sci Adv''. 2020 May; '''6''' (18):eaay8782
A Machine Learning-based Algorithm for Water Network Contamination Source Localization. Description: Grbcic, Luka, et al. A Machine Learning-based Algorithm for Water Network Contamination Source Localization. ''Sensors (Basel)''. 2020 May 3; '''20''' (9):
Traction Forces Control Cell-Edge Dynamics and Mediate Distance Sensitivity during Cell Polarization. Description: Messi, Zeno, et al. Traction Forces Control Cell-Edge Dynamics and Mediate Distance Sensitivity during Cell Polarization. ''Curr Biol''. 2020 May 4; '''30''' (9):1762-1769.e5
A Quantitative Framework for Evaluating Single-Cell Data Structure Preservation by Dimensionality Reduction Techniques. Description: Heiser, Cody N, et al. A Quantitative Framework for Evaluating Single-Cell Data Structure Preservation by Dimensionality Reduction Techniques. ''Cell Rep''. 2020 May 5; '''31''' (5):107576
Machine Learning on Mainstream Microcontrollers. Description: Sakr, Fouad, et al. Machine Learning on Mainstream Microcontrollers. ''Sensors (Basel)''. 2020 May 5; '''20''' (9):
Prediction of chronological and biological age from laboratory data. Description: Sagers, Luke, et al. Prediction of chronological and biological age from laboratory data. ''Aging (Albany NY)''. 2020 May 5; '''12''' (9):7626-7638
A human lung tumor microenvironment interactome identifies clinically relevant cell-type cross-talk. Description: Gentles, Andrew J, et al. A human lung tumor microenvironment interactome identifies clinically relevant cell-type cross-talk. ''Genome Biol''. 2020 May 7; '''21''' (1):107
Mantis-ml: Disease-Agnostic Gene Prioritization from High-Throughput Genomic Screens by Stochastic Semi-supervised Learning. Description: Vitsios, Dimitrios, et al. Mantis-ml: Disease-Agnostic Gene Prioritization from High-Throughput Genomic Screens by Stochastic Semi-supervised Learning. ''Am J Hum Genet''. 2020 May 7; '''106''' (5):659-678
Random Forest Models for Accurate Identification of Coordination Environments from X-Ray Absorption Near-Edge Structure. Description: Zheng, Chen, et al. Random Forest Models for Accurate Identification of Coordination Environments from X-Ray Absorption Near-Edge Structure. ''Patterns (N Y)''. 2020 May 8; '''1''' (2):100013
Deep Learning Neural Networks to Predict Serious Complications After Bariatric Surgery: Analysis of Scandinavian Obesity Surgery Registry Data. Description: Cao, Yang, et al. Deep Learning Neural Networks to Predict Serious Complications After Bariatric Surgery: Analysis of Scandinavian Obesity Surgery Registry Data. ''JMIR Med Inform''. 2020 May 8; '''8''' (5):e15992
Neural Correlates of Multisensory Detection Behavior: Comparison of Primary and Higher-Order Visual Cortex. Description: Meijer, Guido T, et al. Neural Correlates of Multisensory Detection Behavior: Comparison of Primary and Higher-Order Visual Cortex. ''Cell Rep''. 2020 May 12; '''31''' (6):107636
Coronary heart disease and mortality following a breast cancer diagnosis. Description: Guo, Aixia, et al. Coronary heart disease and mortality following a breast cancer diagnosis. ''BMC Med Inform Decis Mak''. 2020 May 13; '''20''' (1):88
Correlation-centred variable selection of a gene expression signature to predict breast cancer metastasis. Description: Hikichi, Shiori, et al. Correlation-centred variable selection of a gene expression signature to predict breast cancer metastasis. ''Sci Rep''. 2020 May 13; '''10''' (1):7923
Deep brain stimulation-guided optogenetic rescue of parkinsonian symptoms. Description: Valverde, Sebastien, et al. Deep brain stimulation-guided optogenetic rescue of parkinsonian symptoms. ''Nat Commun''. 2020 May 13; '''11''' (1):2388
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study. Description: Howard, Derek, et al. Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study. ''J Med Internet Res''. 2020 May 13; '''22''' (5):e15371
Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study. Description: Mohammed, Akram, et al. Using Machine Learning to Predict Early Onset Acute Organ Failure in Critically Ill Intensive Care Unit Patients With Sickle Cell Disease: Retrospective Study. ''J Med Internet Res''. 2020 May 13; '''22''' (5):e14693
Iroquois Homeobox Protein 2 Identified as a Potential Biomarker for Parkinson's Disease. Description: Sim, Hyuna, et al. Iroquois Homeobox Protein 2 Identified as a Potential Biomarker for Parkinson's Disease. ''Int J Mol Sci''. 2020 May 14; '''21''' (10):
Disturbed expression of autophagy genes in blood of Parkinson's disease patients. Description: El Haddad, Said, et al. Disturbed expression of autophagy genes in blood of Parkinson's disease patients. ''Gene''. 2020 May 15; '''738''': 144454
An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRI. Description: Lam, Wilfred W, et al. An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRI. ''Sci Rep''. 2020 May 15; '''10''' (1):8063
Feature Importance of Stabilised Rammed Earth Components Affecting the Compressive Strength Calculated with Explainable Artificial Intelligence Tools. Description: Anysz, Hubert, et al. Feature Importance of Stabilised Rammed Earth Components Affecting the Compressive Strength Calculated with Explainable Artificial Intelligence Tools. ''Materials (Basel)''. 2020 May 18; '''13''' (10):
Retrieval practice facilitates memory updating by enhancing and differentiating medial prefrontal cortex representations. Description: Ye, Zhifang, et al. Retrieval practice facilitates memory updating by enhancing and differentiating medial prefrontal cortex representations. ''Elife''. 2020 May 18; '''9''':
Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers. Description: Engemann, Denis A, et al. Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers. ''Elife''. 2020 May 19; '''9''':
CytoCensus, mapping cell identity and division in tissues and organs using machine learning. Description: Hailstone, Martin, et al. CytoCensus, mapping cell identity and division in tissues and organs using machine learning. ''Elife''. 2020 May 19; '''9''':
Direct comparison shows that mRNA-based diagnostics incorporate information which cannot be learned directly from genomic mutations. Description: Ravkin, Hersh D, et al. Direct comparison shows that mRNA-based diagnostics incorporate information which cannot be learned directly from genomic mutations. ''BMC Bioinformatics''. 2020 May 19; '''21''' (1):196
Exposure to negative stereotypes influences representations of monetary incentives in the nucleus accumbens. Description: Welborn, B Locke, et al. Exposure to negative stereotypes influences representations of monetary incentives in the nucleus accumbens. ''Soc Cogn Affect Neurosci''. 2020 May 19; '''15''' (3):347-358
Similarity-Based Methods and Machine Learning Approaches for Target Prediction in Early Drug Discovery: Performance and Scope. Description: Mathai, Neann, et al. Similarity-Based Methods and Machine Learning Approaches for Target Prediction in Early Drug Discovery: Performance and Scope. ''Int J Mol Sci''. 2020 May 19; '''21''' (10):
Single-Cell RNA Sequencing Reveals a Dynamic Stromal Niche That Supports Tumor Growth. Description: Davidson, Sarah, et al. Single-Cell RNA Sequencing Reveals a Dynamic Stromal Niche That Supports Tumor Growth. ''Cell Rep''. 2020 May 19; '''31''' (7):107628
Striatal shape alteration as a staging biomarker for Parkinson's Disease. Description: Peralta, Maxime, et al. Striatal shape alteration as a staging biomarker for Parkinson's Disease. ''Neuroimage Clin''. 2020 May 19; '''27''': 102272
GPS-PBS: A Deep Learning Framework to Predict Phosphorylation Sites that Specifically Interact with Phosphoprotein-Binding Domains. Description: Guo, Yaping, et al. GPS-PBS: A Deep Learning Framework to Predict Phosphorylation Sites that Specifically Interact with Phosphoprotein-Binding Domains. ''Cells''. 2020 May 20; '''9''' (5):
IRE1alpha and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells. Description: Rodvold, Jeffrey J, et al. IRE1alpha and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells. ''Sci Rep''. 2020 May 20; '''10''' (1):8348
Precise coupling of the thalamic head-direction system to hippocampal ripples. Description: Viejo, Guillaume, et al. Precise coupling of the thalamic head-direction system to hippocampal ripples. ''Nat Commun''. 2020 May 20; '''11''' (1):2524
Computational identification of cell-specific variable regions in ChIP-seq data. Description: Andreani, Tommaso, et al. Computational identification of cell-specific variable regions in ChIP-seq data. ''Nucleic Acids Res''. 2020 May 21; '''48''' (9):e53
Microbiome disturbance and resilience dynamics of the upper respiratory tract during influenza A virus infection. Description: Kaul, Drishti, et al. Microbiome disturbance and resilience dynamics of the upper respiratory tract during influenza A virus infection. ''Nat Commun''. 2020 May 21; '''11''' (1):2537
Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data. Description: Widera, Pawel, et al. Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data. ''Sci Rep''. 2020 May 21; '''10''' (1):8427
Nonlinear Analysis of Visually Normal EEGs to Differentiate Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS). Description: Sathyanarayana, Aarti, et al. Nonlinear Analysis of Visually Normal EEGs to Differentiate Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS). ''Sci Rep''. 2020 May 21; '''10''' (1):8419
A biochemically-interpretable machine learning classifier for microbial GWAS. Description: Kavvas, Erol S, et al. A biochemically-interpretable machine learning classifier for microbial GWAS. ''Nat Commun''. 2020 May 22; '''11''' (1):2580
Combining gene expression profiling and machine learning to diagnose B-cell non-Hodgkin lymphoma. Description: Bobee, Victor, et al. Combining gene expression profiling and machine learning to diagnose B-cell non-Hodgkin lymphoma. ''Blood Cancer J''. 2020 May 22; '''10''' (5):59
Eye-Catching Microbes-Polyphasic Analysis of the Microbiota on Microscope Oculars Verifies Their Role as Fomites. Description: Fritz, Birgit, et al. Eye-Catching Microbes-Polyphasic Analysis of the Microbiota on Microscope Oculars Verifies Their Role as Fomites. ''J Clin Med''. 2020 May 22; '''9''' (5):
Using Artificial Intelligence and Novel Polynomials to Predict Subjective Refraction. Description: Rampat, Radhika, et al. Using Artificial Intelligence and Novel Polynomials to Predict Subjective Refraction. ''Sci Rep''. 2020 May 22; '''10''' (1):8565
CT-based radiomics scores predict response to neoadjuvant chemotherapy and survival in patients with gastric cancer. Description: Sun, Kai-Yu, et al. CT-based radiomics scores predict response to neoadjuvant chemotherapy and survival in patients with gastric cancer. ''BMC Cancer''. 2020 May 25; '''20''' (1):468
Logistic Regression Algorithm Differentiates Gulf War Illness (GWI) Functional Magnetic Resonance Imaging (fMRI) Data from a Sedentary Control. Description: Provenzano, Destie, et al. Logistic Regression Algorithm Differentiates Gulf War Illness (GWI) Functional Magnetic Resonance Imaging (fMRI) Data from a Sedentary Control. ''Brain Sci''. 2020 May 25; '''10''' (5):
PTB-XL, a large publicly available electrocardiography dataset. Description: Wagner, Patrick, et al. PTB-XL, a large publicly available electrocardiography dataset. ''Sci Data''. 2020 May 25; '''7''' (1):154
The Development of the Military Service Identification Tool: Identifying Military Veterans in a Clinical Research Database Using Natural Language Processing and Machine Learning. Description: Leightley, Daniel, et al. The Development of the Military Service Identification Tool: Identifying Military Veterans in a Clinical Research Database Using Natural Language Processing and Machine Learning. ''JMIR Med Inform''. 2020 May 25; '''8''' (5):e15852
Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes. Description: Abasiyanik, M Fatih, et al. Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes. ''Nat Commun''. 2020 May 25; '''11''' (1):2607
Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network. Description: Tomita, Naofumi, et al. Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network. ''Neuroimage Clin''. 2020 May 26; '''27''': 102276
Predicting Phenotypic Polymyxin Resistance in Klebsiella pneumoniae through Machine Learning Analysis of Genomic Data. Description: Macesic, Nenad, et al. Predicting Phenotypic Polymyxin Resistance in Klebsiella pneumoniae through Machine Learning Analysis of Genomic Data. ''mSystems''. 2020 May 26; '''5''' (3):
Gentle Versus Strong Touch Classification: Preliminary Results, Challenges, and Potentials. Description: Keshmiri, Soheil, et al. Gentle Versus Strong Touch Classification: Preliminary Results, Challenges, and Potentials. ''Sensors (Basel)''. 2020 May 27; '''20''' (11):
How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach. Description: Cammel, Simone A, et al. How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach. ''BMC Med Inform Decis Mak''. 2020 May 27; '''20''' (1):97
Hippocampal and cortical mechanisms at retrieval explain variability in episodic remembering in older adults. Description: Trelle, Alexandra N, et al. Hippocampal and cortical mechanisms at retrieval explain variability in episodic remembering in older adults. ''Elife''. 2020 May 29; '''9''':
Mental Health-Related Behaviors and Discussions Among Young Adults: Analysis and Classification. Description: Rivas, Ryan, et al. Mental Health-Related Behaviors and Discussions Among Young Adults: Analysis and Classification. ''J Med Internet Res''. 2020 May 29; '''22''' (5):e17224
MethGET: web-based bioinformatics software for correlating genome-wide DNA methylation and gene expression. Description: Teng, Chin-Sheng, et al. MethGET: web-based bioinformatics software for correlating genome-wide DNA methylation and gene expression. ''BMC Genomics''. 2020 May 29; '''21''' (1):375
(18)F-fluorodeoxyglucose positron emission tomography/computed tomography-based radiomic features for prediction of epidermal growth factor receptor mutation status and prognosis in patients with lung adenocarcinoma. Description: Yang, Bin, et al. (18)F-fluorodeoxyglucose positron emission tomography/computed tomography-based radiomic features for prediction of epidermal growth factor receptor mutation status and prognosis in patients with lung adenocarcinoma. ''Transl Lung Cancer Res''. 2020 Jun; '''9''' (3):563-574
Factorial study of the RNA-seq computational workflow identifies biases as technical gene signatures. Description: Simoneau, Joel, et al. Factorial study of the RNA-seq computational workflow identifies biases as technical gene signatures. ''NAR Genom Bioinform''. 2020 Jun; '''2''' (2):lqaa043
Quantitative analysis of Y-Chromosome gene expression across 36 human tissues. Description: Godfrey, Alexander K, et al. Quantitative analysis of Y-Chromosome gene expression across 36 human tissues. ''Genome Res''. 2020 Jun; '''30''' (6):860-873
101 Dothideomycetes genomes: A test case for predicting lifestyles and emergence of pathogens. Description: Haridas, S, et al. 101 Dothideomycetes genomes: A test case for predicting lifestyles and emergence of pathogens. ''Stud Mycol''. 2020 Jun; '''96''': 141-153
A Retrospective Comparison of Deep Learning to Manual Annotations for Optic Disc and Optic Cup Segmentation in Fundus Photographs. Description: Fu, Huazhu, et al. A Retrospective Comparison of Deep Learning to Manual Annotations for Optic Disc and Optic Cup Segmentation in Fundus Photographs. ''Transl Vis Sci Technol''. 2020 Jun; '''9''' (2):33
CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems. Description: Padilha, Victor A, et al. CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems. ''Gigascience''. 2020 Jun 1; '''9''' (6):
CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning. Description: Muhammad Rafid, Ali Haisam, et al. CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning. ''BMC Bioinformatics''. 2020 Jun 1; '''21''' (1):223
Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial. Description: Rajpurkar, Pranav, et al. Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial. ''JAMA Netw Open''. 2020 Jun 1; '''3''' (6):e206653
Genome-wide transcriptomics identifies an early preclinical signature of prion infection. Description: Sorce, Silvia, et al. Genome-wide transcriptomics identifies an early preclinical signature of prion infection. ''PLoS Pathog''. 2020 Jun; '''16''' (6):e1008653
Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites. Description: Evans, Ethan D, et al. Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites. ''PLoS Comput Biol''. 2020 Jun; '''16''' (6):e1008001
Molecular atlas of the adult mouse brain. Description: Ortiz, Cantin, et al. Molecular atlas of the adult mouse brain. ''Sci Adv''. 2020 Jun; '''6''' (26):eabb3446
Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF. Description: Venkatasubramanian, Meenakshi, et al. Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF. ''Bioinformatics''. 2020 Jun 1; '''36''' (12):3773-3780
Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country. Description: Cruz-Jesus, Frederico, et al. Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country. ''Heliyon''. 2020 Jun; '''6''' (6):e04081
Computational Modeling of Protein Stability: Quantitative Analysis Reveals Solutions to Pervasive Problems. Description: Broom, Aron, et al. Computational Modeling of Protein Stability: Quantitative Analysis Reveals Solutions to Pervasive Problems. ''Structure''. 2020 Jun 2; '''28''' (6):717-726.e3
Diverse homeostatic and immunomodulatory roles of immune cells in the developing mouse lung at single cell resolution. Description: Domingo-Gonzalez, Racquel, et al. Diverse homeostatic and immunomodulatory roles of immune cells in the developing mouse lung at single cell resolution. ''Elife''. 2020 Jun 2; '''9''':
A High-Throughput Screen for Transcription Activation Domains Reveals Their Sequence Features and Permits Prediction by Deep Learning. Description: Erijman, Ariel, et al. A High-Throughput Screen for Transcription Activation Domains Reveals Their Sequence Features and Permits Prediction by Deep Learning. ''Mol Cell''. 2020 Jun 4; '''78''' (5):890-902.e6
An Integrated Deep-Mutational-Scanning Approach Provides Clinical Insights on PTEN Genotype-Phenotype Relationships. Description: Mighell, Taylor L, et al. An Integrated Deep-Mutational-Scanning Approach Provides Clinical Insights on PTEN Genotype-Phenotype Relationships. ''Am J Hum Genet''. 2020 Jun 4; '''106''' (6):818-829
Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches. Description: Tarekegn, Adane, et al. Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches. ''JMIR Med Inform''. 2020 Jun 4; '''8''' (6):e16678
An image-based data-driven analysis of cellular architecture in a developing tissue. Description: Hartmann, Jonas, et al. An image-based data-driven analysis of cellular architecture in a developing tissue. ''Elife''. 2020 Jun 5; '''9''':
Assessing the severity of psoriasis through multivariate analysis of optical images from non-lesional skin. Description: Zurauskas, Mantas, et al. Assessing the severity of psoriasis through multivariate analysis of optical images from non-lesional skin. ''Sci Rep''. 2020 Jun 8; '''10''' (1):9154
Predicting Breast Cancer in Chinese Women Using Machine Learning Techniques: Algorithm Development. Description: Hou, Can, et al. Predicting Breast Cancer in Chinese Women Using Machine Learning Techniques: Algorithm Development. ''JMIR Med Inform''. 2020 Jun 8; '''8''' (6):e17364
AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks. Description: Kinkead, Laura, et al. AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks. ''BMC Med Inform Decis Mak''. 2020 Jun 9; '''20''' (1):104
Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signature. Description: Osmak, German, et al. Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signature. ''J Transl Med''. 2020 Jun 9; '''18''' (1):231
QSRR Automator: A Tool for Automating Retention Time Prediction in Lipidomics and Metabolomics. Description: Naylor, Bradley C, et al. QSRR Automator: A Tool for Automating Retention Time Prediction in Lipidomics and Metabolomics. ''Metabolites''. 2020 Jun 9; '''10''' (6):
The Power of Big Data and Data Analytics for AMI Data: A Case Study. Description: Guerrero-Prado, Jenniffer Sidney, et al. The Power of Big Data and Data Analytics for AMI Data: A Case Study. ''Sensors (Basel)''. 2020 Jun 9; '''20''' (11):
Weakly-supervised learning for lung carcinoma classification using deep learning. Description: Kanavati, Fahdi, et al. Weakly-supervised learning for lung carcinoma classification using deep learning. ''Sci Rep''. 2020 Jun 9; '''10''' (1):9297
Feature selection strategies for drug sensitivity prediction. Description: Koras, Krzysztof, et al. Feature selection strategies for drug sensitivity prediction. ''Sci Rep''. 2020 Jun 10; '''10''' (1):9377
Prediction of prostate cancer aggressiveness using (18)F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI. Description: Movahedi, Parisa, et al. Prediction of prostate cancer aggressiveness using (18)F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI. ''Sci Rep''. 2020 Jun 10; '''10''' (1):9407
VIBRANT: automated recovery, annotation and curation of microbial viruses, and evaluation of viral community function from genomic sequences. Description: Kieft, Kristopher, et al. VIBRANT: automated recovery, annotation and curation of microbial viruses, and evaluation of viral community function from genomic sequences. ''Microbiome''. 2020 Jun 10; '''8''' (1):90
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography. Description: Zhang, Kang, et al. Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography. ''Cell''. 2020 Jun 11; '''181''' (6):1423-1433.e11
Predicting the naturalistic course in anxiety disorders using clinical and biological markers: a machine learning approach. Description: Bokma, Wicher A, et al. Predicting the naturalistic course in anxiety disorders using clinical and biological markers: a machine learning approach. ''Psychol Med''. 2020 Jun 11; 1-11
Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction. Description: Lin, Adrian Xi, et al. Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction. ''Int J Environ Res Public Health''. 2020 Jun 11; '''17''' (11):
AllesTM: predicting multiple structural features of transmembrane proteins. Description: Honigschmid, Peter, et al. AllesTM: predicting multiple structural features of transmembrane proteins. ''BMC Bioinformatics''. 2020 Jun 12; '''21''' (1):242
A dynamic cell recruitment process drives growth of the Drosophila wing by overscaling the vestigial expression pattern. Description: Munoz-Nava, Luis Manuel, et al. A dynamic cell recruitment process drives growth of the Drosophila wing by overscaling the vestigial expression pattern. ''Dev Biol''. 2020 Jun 15; '''462''' (2):141-151
Artificial Intelligence-Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study. Description: Chen, Weijia, et al. Artificial Intelligence-Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study. ''JMIR Med Inform''. 2020 Jun 15; '''8''' (6):e18186
Prediction of Submucosal Invasion for Gastric Neoplasms in Endoscopic Images Using Deep-Learning. Description: Cho, Bum-Joo, et al. Prediction of Submucosal Invasion for Gastric Neoplasms in Endoscopic Images Using Deep-Learning. ''J Clin Med''. 2020 Jun 15; '''9''' (6):
Low-Dose Vertical Inhibition of the RAF-MEK-ERK Cascade Causes Apoptotic Death of KRAS Mutant Cancers. Description: Ozkan-Dagliyan, Irem, et al. Low-Dose Vertical Inhibition of the RAF-MEK-ERK Cascade Causes Apoptotic Death of KRAS Mutant Cancers. ''Cell Rep''. 2020 Jun 16; '''31''' (11):107764
Regulatory T Cell-Specific Epigenomic Region Variants Are a Key Determinant of Susceptibility to Common Autoimmune Diseases. Description: Ohkura, Naganari, et al. Regulatory T Cell-Specific Epigenomic Region Variants Are a Key Determinant of Susceptibility to Common Autoimmune Diseases. ''Immunity''. 2020 Jun 16; '''52''' (6):1119-1132.e4
Detecting Screams From Home Audio Recordings to Identify Tantrums: Exploratory Study Using Transfer Machine Learning. Description: O'Donovan, Rebecca, et al. Detecting Screams From Home Audio Recordings to Identify Tantrums: Exploratory Study Using Transfer Machine Learning. ''JMIR Form Res''. 2020 Jun 16; '''4''' (6):e18279
High-throughput interrogation of programmed ribosomal frameshifting in human cells. Description: Mikl, Martin, et al. High-throughput interrogation of programmed ribosomal frameshifting in human cells. ''Nat Commun''. 2020 Jun 16; '''11''' (1):3061
Optimal length of R-R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning. Description: Kisohara, Masaya, et al. Optimal length of R-R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning. ''Biomed Eng Online''. 2020 Jun 16; '''19''' (1):49
Protein-Folding Analysis Using Features Obtained by Persistent Homology. Description: Ichinomiya, Takashi, et al. Protein-Folding Analysis Using Features Obtained by Persistent Homology. ''Biophys J''. 2020 Jun 16; '''118''' (12):2926-2937
Sex-Specific Differences in Primary CNS Lymphoma. Description: Roetzer, Thomas, et al. Sex-Specific Differences in Primary CNS Lymphoma. ''Cancers (Basel)''. 2020 Jun 16; '''12''' (6):
Validated limited gene predictor for cervical cancer lymph node metastases. Description: Bloomstein, Joshua D, et al. Validated limited gene predictor for cervical cancer lymph node metastases. ''Oncotarget''. 2020 Jun 16; '''11''' (24):2302-2309
Using eye movements to detect visual field loss: a pragmatic assessment using simulated scotoma. Description: Asfaw, Daniel S, et al. Using eye movements to detect visual field loss: a pragmatic assessment using simulated scotoma. ''Sci Rep''. 2020 Jun 17; '''10''' (1):9782
Targeted Degradation of SLC Transporters Reveals Amenability of Multi-Pass Transmembrane Proteins to Ligand-Induced Proteolysis. Description: Bensimon, Ariel, et al. Targeted Degradation of SLC Transporters Reveals Amenability of Multi-Pass Transmembrane Proteins to Ligand-Induced Proteolysis. ''Cell Chem Biol''. 2020 Jun 18; '''27''' (6):728-739.e9
A predictive analytics model for differentiating between transient ischemic attacks (TIA) and its mimics. Description: Stanciu, Alia, et al. A predictive analytics model for differentiating between transient ischemic attacks (TIA) and its mimics. ''BMC Med Inform Decis Mak''. 2020 Jun 18; '''20''' (1):112
Global Comparison of Changes in the Number of Test-Positive Cases and Deaths by Coronavirus Infection (COVID-19) in the World. Description: Hisaka, Akihiro, et al. Global Comparison of Changes in the Number of Test-Positive Cases and Deaths by Coronavirus Infection (COVID-19) in the World. ''J Clin Med''. 2020 Jun 18; '''9''' (6):
Hap10: reconstructing accurate and long polyploid haplotypes using linked reads. Description: Majidian, Sina, et al. Hap10: reconstructing accurate and long polyploid haplotypes using linked reads. ''BMC Bioinformatics''. 2020 Jun 18; '''21''' (1):253
Mapping PTSD symptoms to brain networks: a machine learning study. Description: Zandvakili, Amin, et al. Mapping PTSD symptoms to brain networks: a machine learning study. ''Transl Psychiatry''. 2020 Jun 18; '''10''' (1):195
Corrosion rate prediction and influencing factors evaluation of low-alloy steels in marine atmosphere using machine learning approach. Description: Yan, Luchun, et al. Corrosion rate prediction and influencing factors evaluation of low-alloy steels in marine atmosphere using machine learning approach. ''Sci Technol Adv Mater''. 2020 Jun 19; '''21''' (1):359-370
Development and Validation of Prediction Model for Risk Reduction of Metabolic Syndrome by Body Weight Control: A Prospective Population-based Study. Description: Lee, Solam, et al. Development and Validation of Prediction Model for Risk Reduction of Metabolic Syndrome by Body Weight Control: A Prospective Population-based Study. ''Sci Rep''. 2020 Jun 19; '''10''' (1):10006
A Supervised Machine Learning Approach to Detect the On/Off State in Parkinson's Disease Using Wearable Based Gait Signals. Description: Aich, Satyabrata, et al. A Supervised Machine Learning Approach to Detect the On/Off State in Parkinson's Disease Using Wearable Based Gait Signals. ''Diagnostics (Basel)''. 2020 Jun 20; '''10''' (6):
Pushing property limits in materials discovery via boundless objective-free exploration. Description: Terayama, Kei, et al. Pushing property limits in materials discovery via boundless objective-free exploration. ''Chem Sci''. 2020 Jun 21; '''11''' (23):5959-5968
CoRNeA: A Pipeline to Decrypt the Inter-Protein Interfaces from Amino Acid Sequence Information. Description: Chopra, Kriti, et al. CoRNeA: A Pipeline to Decrypt the Inter-Protein Interfaces from Amino Acid Sequence Information. ''Biomolecules''. 2020 Jun 22; '''10''' (6):
The caudate nucleus contributes causally to decisions that balance reward and uncertain visual information. Description: Doi, Takahiro, et al. The caudate nucleus contributes causally to decisions that balance reward and uncertain visual information. ''Elife''. 2020 Jun 22; '''9''':
The Biochemical Profile of Post-Mortem Brain from People Who Suffered from Epilepsy Reveals Novel Insights into the Etiopathogenesis of the Disease. Description: Lalwani, Ashna M, et al. The Biochemical Profile of Post-Mortem Brain from People Who Suffered from Epilepsy Reveals Novel Insights into the Etiopathogenesis of the Disease. ''Metabolites''. 2020 Jun 23; '''10''' (6):
New targeted approaches for epigenetic age predictions. Description: Han, Yang, et al. New targeted approaches for epigenetic age predictions. ''BMC Biol''. 2020 Jun 24; '''18''' (1):71
Species Identification and Antibiotic Resistance Prediction by Analysis of Whole-Genome Sequence Data by Use of ARESdb: an Analysis of Isolates from the Unyvero Lower Respiratory Tract Infection Trial. Description: Ferreira, Ines, et al. Species Identification and Antibiotic Resistance Prediction by Analysis of Whole-Genome Sequence Data by Use of ARESdb: an Analysis of Isolates from the Unyvero Lower Respiratory Tract Infection Trial. ''J Clin Microbiol''. 2020 Jun 24; '''58''' (7):
Alterations of gut microbiota contribute to the progression of unruptured intracranial aneurysms. Description: Li, Hao, et al. Alterations of gut microbiota contribute to the progression of unruptured intracranial aneurysms. ''Nat Commun''. 2020 Jun 25; '''11''' (1):3218
Integrated Assessment of Circulating Cell-Free MicroRNA Signatures in Plasma of Patients with Melanoma Brain Metastasis. Description: Bustos, Matias A, et al. Integrated Assessment of Circulating Cell-Free MicroRNA Signatures in Plasma of Patients with Melanoma Brain Metastasis. ''Cancers (Basel)''. 2020 Jun 25; '''12''' (6):
Don't dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learning. Description: Levy, Joshua J, et al. Don't dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learning. ''BMC Med Res Methodol''. 2020 Jun 29; '''20''' (1):171
Zygotic Nuclear F-Actin Safeguards Embryonic Development. Description: Okuno, Tomomi, et al. Zygotic Nuclear F-Actin Safeguards Embryonic Development. ''Cell Rep''. 2020 Jun 30; '''31''' (13):107824
Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study. Description: Pryss, Rudiger, et al. Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study. ''J Med Internet Res''. 2020 Jun 30; '''22''' (6):e15547
Genomic determinants of pathogenicity in SARS-CoV-2 and other human coronaviruses. Description: Gussow, Ayal B, et al. Genomic determinants of pathogenicity in SARS-CoV-2 and other human coronaviruses. ''Proc Natl Acad Sci U S A''. 2020 Jun 30; '''117''' (26):15193-15199
Stress Distribution Analysis on Hyperspectral Corn Leaf Images for Improved Phenotyping Quality. Description: Ma, Dongdong, et al. Stress Distribution Analysis on Hyperspectral Corn Leaf Images for Improved Phenotyping Quality. ''Sensors (Basel)''. 2020 Jun 30; '''20''' (13):
A central role for canonical PRC1 in shaping the 3D nuclear landscape. Description: Boyle, Shelagh, et al. A central role for canonical PRC1 in shaping the 3D nuclear landscape. ''Genes Dev''. 2020 Jul 1; '''34''' (13-14):931-949
Bcl-6 is the nexus transcription factor of T follicular helper cells via repressor-of-repressor circuits. Description: Choi, Jinyong, et al. Bcl-6 is the nexus transcription factor of T follicular helper cells via repressor-of-repressor circuits. ''Nat Immunol''. 2020 Jul; '''21''' (7):777-789
Encoder-decoder CNN models for automatic tracking of tongue contours in real-time ultrasound data. Description: Hamed Mozaffari, M, et al. Encoder-decoder CNN models for automatic tracking of tongue contours in real-time ultrasound data. ''Methods''. 2020 Jul 1; '''179''': 26-36
Multivariate log file analysis for multi-leaf collimator failure prediction in radiotherapy delivery. Description: Wojtasik, Arkadiusz Mariusz, et al. Multivariate log file analysis for multi-leaf collimator failure prediction in radiotherapy delivery. ''Phys Imaging Radiat Oncol''. 2020 Jul; '''15''': 72-76
Prediction of physical violence in schizophrenia with machine learning algorithms. Description: Wang, Kevin Z, et al. Prediction of physical violence in schizophrenia with machine learning algorithms. ''Psychiatry Res''. 2020 Jul; '''289''': 112960
Quantitative fluorescence angiography versus hyperspectral imaging to assess bowel ischemia: A comparative study in enhanced reality. Description: Barberio, Manuel, et al. Quantitative fluorescence angiography versus hyperspectral imaging to assess bowel ischemia: A comparative study in enhanced reality. ''Surgery''. 2020 Jul; '''168''' (1):178-184
RNA-GPS predicts high-resolution RNA subcellular localization and highlights the role of splicing. Description: Wu, Kevin E, et al. RNA-GPS predicts high-resolution RNA subcellular localization and highlights the role of splicing. ''RNA''. 2020 Jul; '''26''' (7):851-865
Selective Mediator dependence of cell-type-specifying transcription. Description: Jaeger, Martin G, et al. Selective Mediator dependence of cell-type-specifying transcription. ''Nat Genet''. 2020 Jul; '''52''' (7):719-727
Structure and flexibility in cortical representations of odour space. Description: Pashkovski, Stan L, et al. Structure and flexibility in cortical representations of odour space. ''Nature''. 2020 Jul; '''583''' (7815):253-258
TRACE: transcription factor footprinting using chromatin accessibility data and DNA sequence. Description: Ouyang, Ningxin, et al. TRACE: transcription factor footprinting using chromatin accessibility data and DNA sequence. ''Genome Res''. 2020 Jul; '''30''' (7):1040-1046
A novel prognostic model based on multi-omics features predicts the prognosis of colon cancer patients. Description: Yang, Haojie, et al. A novel prognostic model based on multi-omics features predicts the prognosis of colon cancer patients. ''Mol Genet Genomic Med''. 2020 Jul; '''8''' (7):e1255
Brain-optimized extraction of complex sound features that drive continuous auditory perception. Description: Berezutskaya, Julia, et al. Brain-optimized extraction of complex sound features that drive continuous auditory perception. ''PLoS Comput Biol''. 2020 Jul; '''16''' (7):e1007992
Cancer mutational signatures representation by large-scale context embedding. Description: Zhang, Yang, et al. Cancer mutational signatures representation by large-scale context embedding. ''Bioinformatics''. 2020 Jul 1; '''36''' (Supplement_1):i309-i316
Content-based features predict social media influence operations. Description: Alizadeh, Meysam, et al. Content-based features predict social media influence operations. ''Sci Adv''. 2020 Jul; '''6''' (30):eabb5824
DeepCINAC: A Deep-Learning-Based Python Toolbox for Inferring Calcium Imaging Neuronal Activity Based on Movie Visualization. Description: Denis, Julien, et al. DeepCINAC: A Deep-Learning-Based Python Toolbox for Inferring Calcium Imaging Neuronal Activity Based on Movie Visualization. ''eNeuro''. 2020 Jul/Aug; '''7''' (4):
Drug mechanism-of-action discovery through the integration of pharmacological and CRISPR screens. Description: Goncalves, Emanuel, et al. Drug mechanism-of-action discovery through the integration of pharmacological and CRISPR screens. ''Mol Syst Biol''. 2020 Jul; '''16''' (7):e9405
Enhancing reaction-based de novo design using a multi-label reaction class recommender. Description: Ghiandoni, Gian Marco, et al. Enhancing reaction-based de novo design using a multi-label reaction class recommender. ''J Comput Aided Mol Des''. 2020 Jul; '''34''' (7):783-803
Heart-Rate-Based Machine-Learning Algorithms for Screening Orthostatic Hypotension. Description: Kim, Jung Bin, et al. Heart-Rate-Based Machine-Learning Algorithms for Screening Orthostatic Hypotension. ''J Clin Neurol''. 2020 Jul; '''16''' (3):448-454
Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data. Description: Scott, C Anthony, et al. Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data. ''Genome Biol''. 2020 Jul 1; '''21''' (1):156
Machine learning for early detection of sepsis: an internal and temporal validation study. Description: Bedoya, Armando D, et al. Machine learning for early detection of sepsis: an internal and temporal validation study. ''JAMIA Open''. 2020 Jul; '''3''' (2):252-260
Revealing cytotoxic substructures in molecules using deep learning. Description: Webel, Henry E, et al. Revealing cytotoxic substructures in molecules using deep learning. ''J Comput Aided Mol Des''. 2020 Jul; '''34''' (7):731-746
Scalable phylogenetic profiling using MinHash uncovers likely eukaryotic sexual reproduction genes. Description: Moi, David, et al. Scalable phylogenetic profiling using MinHash uncovers likely eukaryotic sexual reproduction genes. ''PLoS Comput Biol''. 2020 Jul; '''16''' (7):e1007553
Spatiotemporal DNA methylome dynamics of the developing mouse fetus. Description: He, Yupeng, et al. Spatiotemporal DNA methylome dynamics of the developing mouse fetus. ''Nature''. 2020 Jul; '''583''' (7818):752-759
The changing mouse embryo transcriptome at whole tissue and single-cell resolution. Description: He, Peng, et al. The changing mouse embryo transcriptome at whole tissue and single-cell resolution. ''Nature''. 2020 Jul; '''583''' (7818):760-767
A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images. Description: Ni, Qianqian, et al. A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images. ''Eur Radiol''. 2020 Jul 2;
Integrated network modeling approach defines key metabolic responses of soil microbiomes to perturbations. Description: McClure, Ryan S, et al. Integrated network modeling approach defines key metabolic responses of soil microbiomes to perturbations. ''Sci Rep''. 2020 Jul 2; '''10''' (1):10882
Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters. Description: Woznicki, Piotr, et al. Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters. ''Cancers (Basel)''. 2020 Jul 2; '''12''' (7):
SuperCYPsPred-a web server for the prediction of cytochrome activity. Description: Banerjee, Priyanka, et al. SuperCYPsPred-a web server for the prediction of cytochrome activity. ''Nucleic Acids Res''. 2020 Jul 2; '''48''' (W1):W580-W585
Familial Dysalbuminemic Hyperthyroxinemia: An Underdiagnosed Entity. Description: Dieu, Xavier, et al. Familial Dysalbuminemic Hyperthyroxinemia: An Underdiagnosed Entity. ''J Clin Med''. 2020 Jul 3; '''9''' (7):
Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions. Description: Yuval, Janni, et al. Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions. ''Nat Commun''. 2020 Jul 3; '''11''' (1):3295
Structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities. Description: Louros, Nikolaos, et al. Structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities. ''Nat Commun''. 2020 Jul 3; '''11''' (1):3314
Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments-The Wastewater Treatment Plant Control Case. Description: Pisa, Ivan, et al. Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments-The Wastewater Treatment Plant Control Case. ''Sensors (Basel)''. 2020 Jul 4; '''20''' (13):
beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline. Description: Hammond, Tyler C, et al. beta-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline. ''Commun Biol''. 2020 Jul 6; '''3''' (1):352
A method to analyze the sensitivity ranking of various abiotic factors to acoustic densities of fishery resources in the surface mixed layer and bottom cold water layer of the coastal area of low latitude: a case study in the northern South China Sea. Description: Sun, Mingshuai, et al. A method to analyze the sensitivity ranking of various abiotic factors to acoustic densities of fishery resources in the surface mixed layer and bottom cold water layer of the coastal area of low latitude: a case study in the northern South China Sea. ''Sci Rep''. 2020 Jul 7; '''10''' (1):11128
Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis. Description: Ramirez-Cifuentes, Diana, et al. Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis. ''J Med Internet Res''. 2020 Jul 7; '''22''' (7):e17758
Genomic Analysis of Bovine Staphylococcus aureus Isolates from Milk To Elucidate Diversity and Determine the Distributions of Antimicrobial and Virulence Genes and Their Association with Mastitis. Description: Naushad, Sohail, et al. Genomic Analysis of Bovine Staphylococcus aureus Isolates from Milk To Elucidate Diversity and Determine the Distributions of Antimicrobial and Virulence Genes and Their Association with Mastitis. ''mSystems''. 2020 Jul 7; '''5''' (4):
Proteomics-Based Machine Learning Approach as an Alternative to Conventional Biomarkers for Differential Diagnosis of Chronic Kidney Diseases. Description: Glazyrin, Yury E, et al. Proteomics-Based Machine Learning Approach as an Alternative to Conventional Biomarkers for Differential Diagnosis of Chronic Kidney Diseases. ''Int J Mol Sci''. 2020 Jul 7; '''21''' (13):
QTG-Finder2: A Generalized Machine-Learning Algorithm for Prioritizing QTL Causal Genes in Plants. Description: Lin, Fan, et al. QTG-Finder2: A Generalized Machine-Learning Algorithm for Prioritizing QTL Causal Genes in Plants. ''G3 (Bethesda)''. 2020 Jul 7; '''10''' (7):2411-2421
The Dentate Gyrus Classifies Cortical Representations of Learned Stimuli. Description: Woods, Nicholas I, et al. The Dentate Gyrus Classifies Cortical Representations of Learned Stimuli. ''Neuron''. 2020 Jul 8; '''107''' (1):173-184.e6
A machine learning workflow for raw food spectroscopic classification in a future industry. Description: Tsakanikas, Panagiotis, et al. A machine learning workflow for raw food spectroscopic classification in a future industry. ''Sci Rep''. 2020 Jul 8; '''10''' (1):11212
Sentinel interaction mapping - a generic approach for the functional analysis of human disease gene variants using yeast. Description: Young, Barry P, et al. Sentinel interaction mapping - a generic approach for the functional analysis of human disease gene variants using yeast. ''Dis Model Mech''. 2020 Jul 8; '''13''' (7):
Sparse multi-output Gaussian processes for online medical time series prediction. Description: Cheng, Li-Fang, et al. Sparse multi-output Gaussian processes for online medical time series prediction. ''BMC Med Inform Decis Mak''. 2020 Jul 8; '''20''' (1):152
A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction. Description: Tan, Kaiwen, et al. A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction. ''BMC Med Inform Decis Mak''. 2020 Jul 9; '''20''' (Suppl 3):129
A supervised learning framework for chromatin loop detection in genome-wide contact maps. Description: Salameh, Tarik J, et al. A supervised learning framework for chromatin loop detection in genome-wide contact maps. ''Nat Commun''. 2020 Jul 9; '''11''' (1):3428
Precision Health-Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation. Description: Kasthurirathne, Suranga N, et al. Precision Health-Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation. ''JMIR Med Inform''. 2020 Jul 9; '''8''' (7):e16129
Generalizable deep temporal models for predicting episodes of sudden hypotension in critically ill patients: a personalized approach. Description: Chan, Brandon, et al. Generalizable deep temporal models for predicting episodes of sudden hypotension in critically ill patients: a personalized approach. ''Sci Rep''. 2020 Jul 10; '''10''' (1):11480
Modeling Spatiotemporal Pattern of Depressive Symptoms Caused by COVID-19 Using Social Media Data Mining. Description: Li, Diya, et al. Modeling Spatiotemporal Pattern of Depressive Symptoms Caused by COVID-19 Using Social Media Data Mining. ''Int J Environ Res Public Health''. 2020 Jul 10; '''17''' (14):
Surface-Related Features Responsible for Cytotoxic Behavior of MXenes Layered Materials Predicted with Machine Learning Approach. Description: Marchwiany, Maciej E, et al. Surface-Related Features Responsible for Cytotoxic Behavior of MXenes Layered Materials Predicted with Machine Learning Approach. ''Materials (Basel)''. 2020 Jul 10; '''13''' (14):
In vivo microscopy reveals macrophage polarization locally promotes coherent microtubule dynamics in migrating cancer cells. Description: Luthria, Gaurav, et al. In vivo microscopy reveals macrophage polarization locally promotes coherent microtubule dynamics in migrating cancer cells. ''Nat Commun''. 2020 Jul 14; '''11''' (1):3521
Single-nucleotide conservation state annotation of SARS-CoV-2 genome. Description: Kwon, Soo Bin, et al. Single-nucleotide conservation state annotation of SARS-CoV-2 genome. ''bioRxiv''. 2020 Jul 14;
Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders. Description: Zhao, Jianlong, et al. Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders. ''J Neurosci Methods''. 2020 Jul 15; '''341''': 108756
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Comparative Assessment of Protein Kinase Inhibitors in Public Databases and in PKIDB. Description: Bournez, Colin, et al. Comparative Assessment of Protein Kinase Inhibitors in Public Databases and in PKIDB. ''Molecules''. 2020 Jul 15; '''25''' (14):
Forecasting Covid-19 Dynamics in Brazil: A Data Driven Approach. Description: Pereira, Igor Gadelha, et al. Forecasting Covid-19 Dynamics in Brazil: A Data Driven Approach. ''Int J Environ Res Public Health''. 2020 Jul 15; '''17''' (14):
A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas. Description: Calabrese, Evan, et al. A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas. ''Sci Rep''. 2020 Jul 16; '''10''' (1):11852
Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand. Description: Dempsey, D E, et al. Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand. ''Nat Commun''. 2020 Jul 16; '''11''' (1):3562
Deep learning-based classification of the mouse estrous cycle stages. Description: Sano, Kyohei, et al. Deep learning-based classification of the mouse estrous cycle stages. ''Sci Rep''. 2020 Jul 16; '''10''' (1):11714
Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections. Description: Sedik, Ahmed, et al. Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections. ''Viruses''. 2020 Jul 16; '''12''' (7):
Differential loss of effector genes in three recently expanded pandemic clonal lineages of the rice blast fungus. Description: Latorre, Sergio M, et al. Differential loss of effector genes in three recently expanded pandemic clonal lineages of the rice blast fungus. ''BMC Biol''. 2020 Jul 16; '''18''' (1):88
In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning. Description: Kranich, Jan, et al. In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning. ''J Extracell Vesicles''. 2020 Jul 16; '''9''' (1):1792683
Machine Learning-Empowered FTIR Spectroscopy Serum Analysis Stratifies Healthy, Allergic, and SIT-Treated Mice and Humans. Description: Korb, Elke, et al. Machine Learning-Empowered FTIR Spectroscopy Serum Analysis Stratifies Healthy, Allergic, and SIT-Treated Mice and Humans. ''Biomolecules''. 2020 Jul 16; '''10''' (7):
Mapping the Potential Distribution of Major Tick Species in China. Description: Yang, Xin, et al. Mapping the Potential Distribution of Major Tick Species in China. ''Int J Environ Res Public Health''. 2020 Jul 16; '''17''' (14):
Relationship among subjective responses, flavor, and chemical composition across more than 800 commercial cannabis varieties. Description: de la Fuente, Alethia, et al. Relationship among subjective responses, flavor, and chemical composition across more than 800 commercial cannabis varieties. ''J Cannabis Res''. 2020 Jul 17; '''2''' (1):21
Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization. Description: Coleman, Brian C, et al. Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization. ''Chiropr Man Therap''. 2020 Jul 17; '''28''' (1):47
Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches. Description: Yin, Peng-Nien, et al. Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches. ''BMC Med Inform Decis Mak''. 2020 Jul 17; '''20''' (1):162
Neurocognitive patterns dissociating semantic processing from executive control are linked to more detailed off-task mental time travel. Description: Wang, Hao-Ting, et al. Neurocognitive patterns dissociating semantic processing from executive control are linked to more detailed off-task mental time travel. ''Sci Rep''. 2020 Jul 17; '''10''' (1):11904
Large-scale Multi-omic Analysis of COVID-19 Severity. Description: Overmyer, Katherine A, et al. Large-scale Multi-omic Analysis of COVID-19 Severity. ''medRxiv''. 2020 Jul 19;
Assessing the impact on intestinal microbiome and clinical outcomes of antibiotherapy optimisation strategies in haematopoietic stem cell transplant recipients: study protocol for the prospective multicentre OptimBioma study. Description: Jimenez-Jorge, Silvia, et al. Assessing the impact on intestinal microbiome and clinical outcomes of antibiotherapy optimisation strategies in haematopoietic stem cell transplant recipients: study protocol for the prospective multicentre OptimBioma study. ''BMJ Open''. 2020 Jul 20; '''10''' (7):e034570
Non-invasive early detection of cancer four years before conventional diagnosis using a blood test. Description: Chen, Xingdong, et al. Non-invasive early detection of cancer four years before conventional diagnosis using a blood test. ''Nat Commun''. 2020 Jul 21; '''11''' (1):3475
Revealing 29 sets of independently modulated genes in Staphylococcus aureus, their regulators, and role in key physiological response. Description: Poudel, Saugat, et al. Revealing 29 sets of independently modulated genes in Staphylococcus aureus, their regulators, and role in key physiological response. ''Proc Natl Acad Sci U S A''. 2020 Jul 21; '''117''' (29):17228-17239
Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation. Description: Bae, Sohi, et al. Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation. ''Sci Rep''. 2020 Jul 21; '''10''' (1):12110
Cortical Observation by Synchronous Multifocal Optical Sampling Reveals Widespread Population Encoding of Actions. Description: Kauvar, Isaac V, et al. Cortical Observation by Synchronous Multifocal Optical Sampling Reveals Widespread Population Encoding of Actions. ''Neuron''. 2020 Jul 22; '''107''' (2):351-367.e19
Solo: Doublet Identification in Single-Cell RNA-Seq via Semi-Supervised Deep Learning. Description: Bernstein, Nicholas J, et al. Solo: Doublet Identification in Single-Cell RNA-Seq via Semi-Supervised Deep Learning. ''Cell Syst''. 2020 Jul 22; '''11''' (1):95-101.e5
Assessing Molecular Docking Tools to Guide Targeted Drug Discovery of CD38 Inhibitors. Description: Boittier, Eric D, et al. Assessing Molecular Docking Tools to Guide Targeted Drug Discovery of CD38 Inhibitors. ''Int J Mol Sci''. 2020 Jul 22; '''21''' (15):
High-Resolution U-Net: Preserving Image Details for Cultivated Land Extraction. Description: Xu, Wenna, et al. High-Resolution U-Net: Preserving Image Details for Cultivated Land Extraction. ''Sensors (Basel)''. 2020 Jul 22; '''20''' (15):
Analysis of Environmental Factors Affecting the Atmospheric Corrosion Rate of Low-Alloy Steel Using Random Forest-Based Models. Description: Yan, Luchun, et al. Analysis of Environmental Factors Affecting the Atmospheric Corrosion Rate of Low-Alloy Steel Using Random Forest-Based Models. ''Materials (Basel)''. 2020 Jul 23; '''13''' (15):
Gender-Related Differences in Trimethylamine and Oxidative Blood Biomarkers in Cardiovascular Disease Patients. Description: Bordoni, Laura, et al. Gender-Related Differences in Trimethylamine and Oxidative Blood Biomarkers in Cardiovascular Disease Patients. ''Biomedicines''. 2020 Jul 23; '''8''' (8):
Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept. Description: Tran, Nam K, et al. Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept. ''Sci Rep''. 2020 Jul 23; '''10''' (1):12354
Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics. Description: Carre, Alexandre, et al. Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics. ''Sci Rep''. 2020 Jul 23; '''10''' (1):12340
Decomposing Structural Response Due to Sequence Changes in Protein Domains with Machine Learning. Description: Bryant, Patrick, et al. Decomposing Structural Response Due to Sequence Changes in Protein Domains with Machine Learning. ''J Mol Biol''. 2020 Jul 24; '''432''' (16):4435-4446
A Pilot Study of Multi-Input Recurrent Neural Networks for Drug-Kinase Binding Prediction. Description: Carpenter, Kristy, et al. A Pilot Study of Multi-Input Recurrent Neural Networks for Drug-Kinase Binding Prediction. ''Molecules''. 2020 Jul 24; '''25''' (15):
METROID: an automated method for robust quantification of subcellular fluorescence events at low SNR. Description: Zoccoler, Marcelo, et al. METROID: an automated method for robust quantification of subcellular fluorescence events at low SNR. ''BMC Bioinformatics''. 2020 Jul 24; '''21''' (1):332
Characterization of Clinical MRSA Isolates from Northern Spain and Assessment of Their Susceptibility to Phage-Derived Antimicrobials. Description: Salas, Marina, et al. Characterization of Clinical MRSA Isolates from Northern Spain and Assessment of Their Susceptibility to Phage-Derived Antimicrobials. ''Antibiotics (Basel)''. 2020 Jul 25; '''9''' (8):
Virtual Screening of C. Sativa Constituents for the Identification of Selective Ligands for Cannabinoid Receptor 2. Description: Mizera, Mikolaj, et al. Virtual Screening of C. Sativa Constituents for the Identification of Selective Ligands for Cannabinoid Receptor 2. ''Int J Mol Sci''. 2020 Jul 26; '''21''' (15):
Epitope-resolved profiling of the SARS-CoV-2 antibody response identifies cross-reactivity with an endemic human CoV. Description: Ladner, Jason T, et al. Epitope-resolved profiling of the SARS-CoV-2 antibody response identifies cross-reactivity with an endemic human CoV. ''bioRxiv''. 2020 Jul 27;
Usefulness of Machine Learning-Based Gut Microbiome Analysis for Identifying Patients with Irritable Bowels Syndrome. Description: Fukui, Hirokazu, et al. Usefulness of Machine Learning-Based Gut Microbiome Analysis for Identifying Patients with Irritable Bowels Syndrome. ''J Clin Med''. 2020 Jul 27; '''9''' (8):
Prediction of the Receptorome for the Human-Infecting Virome. Description: Zhang, Zheng, et al. Prediction of the Receptorome for the Human-Infecting Virome. ''Virol Sin''. 2020 Jul 28;
Machine-learning approach expands the repertoire of anti-CRISPR protein families. Description: Gussow, Ayal B, et al. Machine-learning approach expands the repertoire of anti-CRISPR protein families. ''Nat Commun''. 2020 Jul 29; '''11''' (1):3784
Materials informatics approach to understand aluminum alloys. Description: Tamura, Ryo, et al. Materials informatics approach to understand aluminum alloys. ''Sci Technol Adv Mater''. 2020 Jul 29; '''21''' (1):540-551
Autonomous intelligent agents for accelerated materials discovery. Description: Montoya, Joseph H, et al. Autonomous intelligent agents for accelerated materials discovery. ''Chem Sci''. 2020 Jul 30; '''11''' (32):8517-8532
Host-parasite tissue adhesion by a secreted type of beta-1,4-glucanase in the parasitic plant Phtheirospermum japonicum. Description: Kurotani, Ken-Ichi, et al. Host-parasite tissue adhesion by a secreted type of beta-1,4-glucanase in the parasitic plant Phtheirospermum japonicum. ''Commun Biol''. 2020 Jul 30; '''3''' (1):407
A Predictive Model Based on Machine Learning for the Early Detection of Late-Onset Neonatal Sepsis: Development and Observational Study. Description: Song, Wongeun, et al. A Predictive Model Based on Machine Learning for the Early Detection of Late-Onset Neonatal Sepsis: Development and Observational Study. ''JMIR Med Inform''. 2020 Jul 31; '''8''' (7):e15965
A Structural Model for Bax2-Mediated Activation of Caspase 8-Dependent Apoptosis. Description: Xie, Bing, et al. A Structural Model for Bax2-Mediated Activation of Caspase 8-Dependent Apoptosis. ''Int J Mol Sci''. 2020 Jul 31; '''21''' (15):
Plasma Metabolites Related to Peripheral and Hepatic Insulin Sensitivity Are Not Directly Linked to Gut Microbiota Composition. Description: Koopen, Annefleur M, et al. Plasma Metabolites Related to Peripheral and Hepatic Insulin Sensitivity Are Not Directly Linked to Gut Microbiota Composition. ''Nutrients''. 2020 Jul 31; '''12''' (8):
Cumulus provides cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq. Description: Li, Bo, et al. Cumulus provides cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq. ''Nat Methods''. 2020 Aug; '''17''' (8):793-798
Supervised enhancer prediction with epigenetic pattern recognition and targeted validation. Description: Sethi, Anurag, et al. Supervised enhancer prediction with epigenetic pattern recognition and targeted validation. ''Nat Methods''. 2020 Aug; '''17''' (8):807-814
A computational investigation into rate-dependant vectorcardiogram changes due to specific fibrosis patterns in non-ischaemic dilated cardiomyopathy. Description: Gemmell, Philip M, et al. A computational investigation into rate-dependant vectorcardiogram changes due to specific fibrosis patterns in non-ischaemic dilated cardiomyopathy. ''Comput Biol Med''. 2020 Aug; '''123''': 103895
A dataset of long-term consistency values of resting-state fMRI connectivity maps in a single individual derived at multiple sites and vendors using the Canadian Dementia Imaging Protocol. Description: Badhwar, AmanPreet, et al. A dataset of long-term consistency values of resting-state fMRI connectivity maps in a single individual derived at multiple sites and vendors using the Canadian Dementia Imaging Protocol. ''Data Brief''. 2020 Aug; '''31''': 105699
A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study. Description: Zhang, Jing, et al. A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study. ''EBioMedicine''. 2020 Aug; '''58''': 102933
Functional and Structural Integrity of Frontoparietal Connectivity in Traumatic and Anoxic Coma. Description: Peran, Patrice, et al. Functional and Structural Integrity of Frontoparietal Connectivity in Traumatic and Anoxic Coma. ''Crit Care Med''. 2020 Aug; '''48''' (8):e639-e647
Fungal Kti12 proteins display unusual linker regions and unique ATPase p-loops. Description: Krutyholowa, Roscislaw, et al. Fungal Kti12 proteins display unusual linker regions and unique ATPase p-loops. ''Curr Genet''. 2020 Aug; '''66''' (4):823-833
Horizontal transmission and recombination maintain forever young bacterial symbiont genomes. Description: Russell, Shelbi L, et al. Horizontal transmission and recombination maintain forever young bacterial symbiont genomes. ''PLoS Genet''. 2020 Aug; '''16''' (8):e1008935
Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits. Description: Glastonbury, Craig A, et al. Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits. ''PLoS Comput Biol''. 2020 Aug; '''16''' (8):e1008044
Patient-derived orthotopic xenografts of pediatric brain tumors: a St. Jude resource. Description: Smith, Kyle S, et al. Patient-derived orthotopic xenografts of pediatric brain tumors: a St. Jude resource. ''Acta Neuropathol''. 2020 Aug; '''140''' (2):209-225
Predicting Thioflavin Fluorescence of Retinal Amyloid Deposits Associated With Alzheimer's Disease from Their Polarimetric Properties. Description: Qiu, Yunyi, et al. Predicting Thioflavin Fluorescence of Retinal Amyloid Deposits Associated With Alzheimer's Disease from Their Polarimetric Properties. ''Transl Vis Sci Technol''. 2020 Aug; '''9''' (2):47
Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort study. Description: Wu, Lijuan, et al. Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort study. ''BMC Nephrol''. 2020 Aug 2; '''21''' (1):321
A deep learning model to predict RNA-Seq expression of tumours from whole slide images. Description: Schmauch, Benoit, et al. A deep learning model to predict RNA-Seq expression of tumours from whole slide images. ''Nat Commun''. 2020 Aug 3; '''11''' (1):3877
Deep learning on the 2-dimensional Ising model to extract the crossover region with a variational autoencoder. Description: Walker, Nicholas, et al. Deep learning on the 2-dimensional Ising model to extract the crossover region with a variational autoencoder. ''Sci Rep''. 2020 Aug 3; '''10''' (1):13047
Multiexponential T2 relaxometry of benign and malignant adipocytic tumours. Description: Nikiforaki, Katerina, et al. Multiexponential T2 relaxometry of benign and malignant adipocytic tumours. ''Eur Radiol Exp''. 2020 Aug 3; '''4''' (1):45
Decomposition profile data analysis of multiple drug effects identifies endoplasmic reticulum stress-inducing ability as an unrecognized factor. Description: Morita, Katsuhisa, et al. Decomposition profile data analysis of multiple drug effects identifies endoplasmic reticulum stress-inducing ability as an unrecognized factor. ''Sci Rep''. 2020 Aug 4; '''10''' (1):13139
Estimation of the head elevation angle that causes clinically important venous air embolism in a semi-sitting position for neurosurgery: a retrospective observational study. Description: Kurihara, Masato, et al. Estimation of the head elevation angle that causes clinically important venous air embolism in a semi-sitting position for neurosurgery: a retrospective observational study. ''Fukushima J Med Sci''. 2020 Aug 4; '''66''' (2):67-72
Heterogeneous somatostatin-expressing neuron population in mouse ventral tegmental area. Description: Nagaeva, Elina, et al. Heterogeneous somatostatin-expressing neuron population in mouse ventral tegmental area. ''Elife''. 2020 Aug 4; '''9''':
Adaptation to feedback representation of illusory orientation produced from flash grab effect. Description: Ge, Yijun, et al. Adaptation to feedback representation of illusory orientation produced from flash grab effect. ''Nat Commun''. 2020 Aug 6; '''11''' (1):3925
Interpretability of Input Representations for Gait Classification in Patients after Total Hip Arthroplasty. Description: Dindorf, Carlo, et al. Interpretability of Input Representations for Gait Classification in Patients after Total Hip Arthroplasty. ''Sensors (Basel)''. 2020 Aug 6; '''20''' (16):
Sibling validation of polygenic risk scores and complex trait prediction. Description: Lello, Louis, et al. Sibling validation of polygenic risk scores and complex trait prediction. ''Sci Rep''. 2020 Aug 6; '''10''' (1):13190
Aging alters neural activity at event boundaries in the hippocampus and Posterior Medial network. Description: Reagh, Zachariah M, et al. Aging alters neural activity at event boundaries in the hippocampus and Posterior Medial network. ''Nat Commun''. 2020 Aug 7; '''11''' (1):3980
liputils: a Python module to manage individual fatty acid moieties from complex lipids. Description: Manzini, Stefano, et al. liputils: a Python module to manage individual fatty acid moieties from complex lipids. ''Sci Rep''. 2020 Aug 7; '''10''' (1):13368
Population-scale proteome variation in human induced pluripotent stem cells. Description: Mirauta, Bogdan Andrei, et al. Population-scale proteome variation in human induced pluripotent stem cells. ''Elife''. 2020 Aug 10; '''9''':
Benchmark-Based Reference Model for Evaluating Botnet Detection Tools Driven by Traffic-Flow Analytics. Description: Huancayo Ramos, Katherinne Shirley, et al. Benchmark-Based Reference Model for Evaluating Botnet Detection Tools Driven by Traffic-Flow Analytics. ''Sensors (Basel)''. 2020 Aug 12; '''20''' (16):
Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study. Description: Visweswaran, Shyam, et al. Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study. ''J Med Internet Res''. 2020 Aug 12; '''22''' (8):e17478
Detecting ulcerative colitis from colon samples using efficient feature selection and machine learning. Description: Khorasani, Hanieh Marvi, et al. Detecting ulcerative colitis from colon samples using efficient feature selection and machine learning. ''Sci Rep''. 2020 Aug 13; '''10''' (1):13744
DispHred: A Server to Predict pH-Dependent Order-Disorder Transitions in Intrinsically Disordered Proteins. Description: Santos, Jaime, et al. DispHred: A Server to Predict pH-Dependent Order-Disorder Transitions in Intrinsically Disordered Proteins. ''Int J Mol Sci''. 2020 Aug 13; '''21''' (16):
Automatic Incident Triage in Radiation Oncology Incident Learning System. Description: Syed, Khajamoinuddin, et al. Automatic Incident Triage in Radiation Oncology Incident Learning System. ''Healthcare (Basel)''. 2020 Aug 14; '''8''' (3):
Viral Metagenomic Profiling of Croatian Bat Population Reveals Sample and Habitat Dependent Diversity. Description: Simic, Ivana, et al. Viral Metagenomic Profiling of Croatian Bat Population Reveals Sample and Habitat Dependent Diversity. ''Viruses''. 2020 Aug 14; '''12''' (8):
Grab-AD: Generalizability and reproducibility of altered brain activity and diagnostic classification in Alzheimer's Disease. Description: Jin, Dan, et al. Grab-AD: Generalizability and reproducibility of altered brain activity and diagnostic classification in Alzheimer's Disease. ''Hum Brain Mapp''. 2020 Aug 15; '''41''' (12):3379-3391
Clustering by phenotype and genome-wide association study in autism. Description: Narita, Akira, et al. Clustering by phenotype and genome-wide association study in autism. ''Transl Psychiatry''. 2020 Aug 17; '''10''' (1):290
Lipoarabinomannan antigenic epitope differences in tuberculosis disease subtypes. Description: Magni, Ruben, et al. Lipoarabinomannan antigenic epitope differences in tuberculosis disease subtypes. ''Sci Rep''. 2020 Aug 18; '''10''' (1):13944
A Distributed Neural Code in the Dentate Gyrus and in CA1. Description: Stefanini, Fabio, et al. A Distributed Neural Code in the Dentate Gyrus and in CA1. ''Neuron''. 2020 Aug 19; '''107''' (4):703-716.e4
Cognitive Relevance Transform for Population Re-Targeting. Description: Koporec, Gregor, et al. Cognitive Relevance Transform for Population Re-Targeting. ''Sensors (Basel)''. 2020 Aug 19; '''20''' (17):
A novel method of calculating stroke volume using point-of-care echocardiography. Description: Aligholizadeh, Ehson, et al. A novel method of calculating stroke volume using point-of-care echocardiography. ''Cardiovasc Ultrasound''. 2020 Aug 20; '''18''' (1):37
How machine learning can help select capping layers to suppress perovskite degradation. Description: Hartono, Noor Titan Putri, et al. How machine learning can help select capping layers to suppress perovskite degradation. ''Nat Commun''. 2020 Aug 20; '''11''' (1):4172
Using autoencoders as a weight initialization method on deep neural networks for disease detection. Description: Ferreira, Mafalda Falcao, et al. Using autoencoders as a weight initialization method on deep neural networks for disease detection. ''BMC Med Inform Decis Mak''. 2020 Aug 20; '''20''' (Suppl 5):141
Transcriptomic Analysis of Short-Term Salt Stress Response in Watermelon Seedlings. Description: Song, Qiushuo, et al. Transcriptomic Analysis of Short-Term Salt Stress Response in Watermelon Seedlings. ''Int J Mol Sci''. 2020 Aug 21; '''21''' (17):
A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions. Description: Vanhaeren, Thomas, et al. A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions. ''Genes (Basel)''. 2020 Aug 24; '''11''' (9):
ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis Products. Description: Chen, Xiaowei, et al. ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis Products. ''Sensors (Basel)''. 2020 Aug 24; '''20''' (17):
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Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study. Description: Metsker, Oleg, et al. Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study. ''BMC Med Inform Decis Mak''. 2020 Aug 24; '''20''' (1):201
Scan-Chain-Fault Diagnosis Using Regressions in Cryptographic Chips for Wireless Sensor Networks. Description: Lim, Hyunyul, et al. Scan-Chain-Fault Diagnosis Using Regressions in Cryptographic Chips for Wireless Sensor Networks. ''Sensors (Basel)''. 2020 Aug 24; '''20''' (17):
Tuning parameters of dimensionality reduction methods for single-cell RNA-seq analysis. Description: Raimundo, Felix, et al. Tuning parameters of dimensionality reduction methods for single-cell RNA-seq analysis. ''Genome Biol''. 2020 Aug 24; '''21''' (1):212
Assembly of Capsids from Hepatitis B Virus Core Protein Progresses through Highly Populated Intermediates in the Presence and Absence of RNA. Description: Oliver, Ryan C, et al. Assembly of Capsids from Hepatitis B Virus Core Protein Progresses through Highly Populated Intermediates in the Presence and Absence of RNA. ''ACS Nano''. 2020 Aug 25; '''14''' (8):10226-10238
Prognostic Modeling of COVID-19 Using Artificial Intelligence in the United Kingdom: Model Development and Validation. Description: Abdulaal, Ahmed, et al. Prognostic Modeling of COVID-19 Using Artificial Intelligence in the United Kingdom: Model Development and Validation. ''J Med Internet Res''. 2020 Aug 25; '''22''' (8):e20259
Unsupervised Monitoring Vegetation after the Closure of an Ore Processing Site with Multi-Temporal Optical Remote Sensing. Description: Fabre, Sophie, et al. Unsupervised Monitoring Vegetation after the Closure of an Ore Processing Site with Multi-Temporal Optical Remote Sensing. ''Sensors (Basel)''. 2020 Aug 25; '''20''' (17):
Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions. Description: Liu, Ge, et al. Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions. ''Cell Syst''. 2020 Aug 26; '''11''' (2):131-144.e6
Evaluation of standard and semantically-augmented distance metrics for neurology patients. Description: Hier, Daniel B, et al. Evaluation of standard and semantically-augmented distance metrics for neurology patients. ''BMC Med Inform Decis Mak''. 2020 Aug 26; '''20''' (1):203
ACEP: improving antimicrobial peptides recognition through automatic feature fusion and amino acid embedding. Description: Fu, Haoyi, et al. ACEP: improving antimicrobial peptides recognition through automatic feature fusion and amino acid embedding. ''BMC Genomics''. 2020 Aug 28; '''21''' (1):597
Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features. Description: Arafat, Md Easin, et al. Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features. ''Genes (Basel)''. 2020 Aug 31; '''11''' (9):
Fast Detection of Olive Trees Affected by Xylella Fastidiosa from UAVs Using Multispectral Imaging. Description: Di Nisio, Attilio, et al. Fast Detection of Olive Trees Affected by Xylella Fastidiosa from UAVs Using Multispectral Imaging. ''Sensors (Basel)''. 2020 Aug 31; '''20''' (17):
Impact of investigational microbiota therapeutic RBX2660 on the gut microbiome and resistome revealed by a placebo-controlled clinical trial. Description: Kwak, Suryang, et al. Impact of investigational microbiota therapeutic RBX2660 on the gut microbiome and resistome revealed by a placebo-controlled clinical trial. ''Microbiome''. 2020 Aug 31; '''8''' (1):125
Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks. Description: Adler, Daniel A, et al. Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks. ''JMIR Mhealth Uhealth''. 2020 Aug 31; '''8''' (8):e19962
Targeted Metabolic Profiling of Urine Highlights a Potential Biomarker Panel for the Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment: A Pilot Study. Description: Yilmaz, Ali, et al. Targeted Metabolic Profiling of Urine Highlights a Potential Biomarker Panel for the Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment: A Pilot Study. ''Metabolites''. 2020 Aug 31; '''10''' (9):
Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study. Description: Shen, Xiao, et al. Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study. ''JMIR Med Inform''. 2020 Aug 31; '''8''' (8):e19870
A cross-platform approach to characterize and screen potential neurovascular unit toxicants. Description: Zurlinden, Todd J, et al. A cross-platform approach to characterize and screen potential neurovascular unit toxicants. ''Reprod Toxicol''. 2020 Sep; '''96''': 300-315
Biological sex classification with structural MRI data shows increased misclassification in transgender women. Description: Flint, Claas, et al. Biological sex classification with structural MRI data shows increased misclassification in transgender women. ''Neuropsychopharmacology''. 2020 Sep; '''45''' (10):1758-1765
Brain tumor diagnostic model and dietary effect based on extracellular vesicle microbiome data in serum. Description: Yang, Jinho, et al. Brain tumor diagnostic model and dietary effect based on extracellular vesicle microbiome data in serum. ''Exp Mol Med''. 2020 Sep; '''52''' (9):1602-1613
Deep learning evaluation of pelvic radiographs for position, hardware presence, and fracture detection. Description: Kitamura, Gene. Deep learning evaluation of pelvic radiographs for position, hardware presence, and fracture detection. ''Eur J Radiol''. 2020 Sep; '''130''': 109139
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens. Description: Nagpal, Kunal, et al. Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens. ''JAMA Oncol''. 2020 Sep 1; '''6''' (9):1372-1380
High precision Neisseria gonorrhoeae variant and antimicrobial resistance calling from metagenomic Nanopore sequencing. Description: Sanderson, Nicholas D, et al. High precision Neisseria gonorrhoeae variant and antimicrobial resistance calling from metagenomic Nanopore sequencing. ''Genome Res''. 2020 Sep; '''30''' (9):1354-1363
Large-scale pathway specific polygenic risk and transcriptomic community network analysis identifies novel functional pathways in Parkinson disease. Description: Bandres-Ciga, S, et al. Large-scale pathway specific polygenic risk and transcriptomic community network analysis identifies novel functional pathways in Parkinson disease. ''Acta Neuropathol''. 2020 Sep; '''140''' (3):341-358
miRDetect: A combinatorial approach for automated detection of novel miRNA precursors from plant EST data using homology and Random Forest classification. Description: Ayachit, Garima, et al. miRDetect: A combinatorial approach for automated detection of novel miRNA precursors from plant EST data using homology and Random Forest classification. ''Genomics''. 2020 Sep; '''112''' (5):3201-3206
Multi-feature fusion for deep learning to predict plant lncRNA-protein interaction. Description: Wekesa, Jael Sanyanda, et al. Multi-feature fusion for deep learning to predict plant lncRNA-protein interaction. ''Genomics''. 2020 Sep; '''112''' (5):2928-2936
Neural dynamics of sentiment processing during naturalistic sentence reading. Description: Pfeiffer, Christian, et al. Neural dynamics of sentiment processing during naturalistic sentence reading. ''Neuroimage''. 2020 Sep; '''218''': 116934
Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing. Description: Allen, William E, et al. Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing. ''Nat Hum Behav''. 2020 Sep; '''4''' (9):972-982
Proteomics of Galapagos Marine Iguanas Links Function of Femoral Gland Proteins to the Immune System. Description: Tellkamp, Frederik, et al. Proteomics of Galapagos Marine Iguanas Links Function of Femoral Gland Proteins to the Immune System. ''Mol Cell Proteomics''. 2020 Sep; '''19''' (9):1523-1532
The cis-regulatory codes of response to combined heat and drought stress in Arabidopsis thaliana. Description: Azodi, Christina B, et al. The cis-regulatory codes of response to combined heat and drought stress in Arabidopsis thaliana. ''NAR Genom Bioinform''. 2020 Sep; '''2''' (3):lqaa049
A robust and interpretable end-to-end deep learning model for cytometry data. Description: Hu, Zicheng, et al. A robust and interpretable end-to-end deep learning model for cytometry data. ''Proc Natl Acad Sci U S A''. 2020 Sep 1; '''117''' (35):21373-21380
A simple, scalable approach to building a cross-platform transcriptome atlas. Description: Angel, Paul W, et al. A simple, scalable approach to building a cross-platform transcriptome atlas. ''PLoS Comput Biol''. 2020 Sep; '''16''' (9):e1008219
Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis. Description: Ioannou, George N, et al. Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis. ''JAMA Netw Open''. 2020 Sep 1; '''3''' (9):e2015626
Association of Mobile Phone Location Data Indications of Travel and Stay-at-Home Mandates With COVID-19 Infection Rates in the US. Description: Gao, Song, et al. Association of Mobile Phone Location Data Indications of Travel and Stay-at-Home Mandates With COVID-19 Infection Rates in the US. ''JAMA Netw Open''. 2020 Sep 1; '''3''' (9):e2020485
Changes in risk perception and self-reported protective behaviour during the first week of the COVID-19 pandemic in the United States. Description: Wise, Toby, et al. Changes in risk perception and self-reported protective behaviour during the first week of the COVID-19 pandemic in the United States. ''R Soc Open Sci''. 2020 Sep; '''7''' (9):200742
Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data. Description: Wang, Weikang, et al. Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data. ''Sci Adv''. 2020 Sep; '''6''' (36):
LSD1 represses a neonatal/reparative gene program in adult intestinal epithelium. Description: Zwiggelaar, Rosalie T, et al. LSD1 represses a neonatal/reparative gene program in adult intestinal epithelium. ''Sci Adv''. 2020 Sep; '''6''' (37):
Melanin distribution from the dermal-epidermal junction to the stratum corneum: non-invasive in vivo assessment by fluorescence and Raman microspectroscopy. Description: Yakimov, B P, et al. Melanin distribution from the dermal-epidermal junction to the stratum corneum: non-invasive in vivo assessment by fluorescence and Raman microspectroscopy. ''Sci Rep''. 2020 Sep 1; '''10''' (1):14374
Posterior circulation stroke: machine learning-based detection of early ischemic changes in acute non-contrast CT scans. Description: Kniep, Helge C, et al. Posterior circulation stroke: machine learning-based detection of early ischemic changes in acute non-contrast CT scans. ''J Neurol''. 2020 Sep; '''267''' (9):2632-2641
Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks. Description: Bazgir, Omid, et al. Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks. ''Nat Commun''. 2020 Sep 1; '''11''' (1):4391
Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group. Description: Nunes, Abraham, et al. Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group. ''Mol Psychiatry''. 2020 Sep; '''25''' (9):2130-2143
Utilizing Machine Learning on Internet Search Activity to Support the Diagnostic Process and Relapse Detection in Young Individuals With Early Psychosis: Feasibility Study. Description: Birnbaum, Michael Leo, et al. Utilizing Machine Learning on Internet Search Activity to Support the Diagnostic Process and Relapse Detection in Young Individuals With Early Psychosis: Feasibility Study. ''JMIR Ment Health''. 2020 Sep 1; '''7''' (9):e19348
A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures. Description: Xiong, Shoucong, et al. A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures. ''Sensors (Basel)''. 2020 Sep 2; '''20''' (17):
NetExtractor: Extracting a Cerebellar Tissue Gene Regulatory Network Using Differentially Expressed High Mutual Information Binary RNA Profiles. Description: Husain, Benafsh, et al. NetExtractor: Extracting a Cerebellar Tissue Gene Regulatory Network Using Differentially Expressed High Mutual Information Binary RNA Profiles. ''G3 (Bethesda)''. 2020 Sep 2; '''10''' (9):2953-2963
The Association between Insertion Sequences and Antibiotic Resistance Genes. Description: Razavi, Mohammad, et al. The Association between Insertion Sequences and Antibiotic Resistance Genes. ''mSphere''. 2020 Sep 2; '''5''' (5):
Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front. Description: Schurch, Christian M, et al. Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front. ''Cell''. 2020 Sep 3; '''182''' (5):1341-1359.e19
Using supervised machine learning classifiers to estimate likelihood of participating in clinical trials of a de-identified version of ResearchMatch. Description: Vazquez, Janette, et al. Using supervised machine learning classifiers to estimate likelihood of participating in clinical trials of a de-identified version of ResearchMatch. ''J Clin Transl Sci''. 2020 Sep 4; '''5''' (1):e42
Identifying domains of applicability of machine learning models for materials science. Description: Sutton, Christopher, et al. Identifying domains of applicability of machine learning models for materials science. ''Nat Commun''. 2020 Sep 4; '''11''' (1):4428
IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles. Description: Saaidi, Afaf, et al. IPANEMAP: integrative probing analysis of nucleic acids empowered by multiple accessibility profiles. ''Nucleic Acids Res''. 2020 Sep 4; '''48''' (15):8276-8289
Maximizing CRISPR/Cas9 phenotype penetrance applying predictive modeling of editing outcomes in Xenopus and zebrafish embryos. Description: Naert, Thomas, et al. Maximizing CRISPR/Cas9 phenotype penetrance applying predictive modeling of editing outcomes in Xenopus and zebrafish embryos. ''Sci Rep''. 2020 Sep 4; '''10''' (1):14662
Repertoire-scale determination of class II MHC peptide binding via yeast display improves antigen prediction. Description: Rappazzo, C Garrett, et al. Repertoire-scale determination of class II MHC peptide binding via yeast display improves antigen prediction. ''Nat Commun''. 2020 Sep 4; '''11''' (1):4414
SARS-CoV-2-specific IgA and limited inflammatory cytokines are present in the stool of select patients with acute COVID-19. Description: Britton, Graham J, et al. SARS-CoV-2-specific IgA and limited inflammatory cytokines are present in the stool of select patients with acute COVID-19. ''medRxiv''. 2020 Sep 5;
Cocaine-mediated circadian reprogramming in the striatum through dopamine D2R and PPARgamma activation. Description: Brami-Cherrier, Karen, et al. Cocaine-mediated circadian reprogramming in the striatum through dopamine D2R and PPARgamma activation. ''Nat Commun''. 2020 Sep 7; '''11''' (1):4448
Infusion of donor feces affects the gut-brain axis in humans with metabolic syndrome. Description: Hartstra, Annick V, et al. Infusion of donor feces affects the gut-brain axis in humans with metabolic syndrome. ''Mol Metab''. 2020 Sep 8; '''42''': 101076
Longitudinal immune profiling of mild and severe COVID-19 reveals innate and adaptive immune dysfunction and provides an early prediction tool for clinical progression. Description: Rendeiro, Andre F, et al. Longitudinal immune profiling of mild and severe COVID-19 reveals innate and adaptive immune dysfunction and provides an early prediction tool for clinical progression. ''medRxiv''. 2020 Sep 9;
A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation. Description: Liu, Sinuo, et al. A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation. ''BMC Bioinformatics''. 2020 Sep 9; '''21''' (1):399
Development of machine learning-based clinical decision support system for hepatocellular carcinoma. Description: Choi, Gwang Hyeon, et al. Development of machine learning-based clinical decision support system for hepatocellular carcinoma. ''Sci Rep''. 2020 Sep 9; '''10''' (1):14855
Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer. Description: Cho, Bum-Joo, et al. Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer. ''Sci Rep''. 2020 Sep 9; '''10''' (1):14803
Topology-driven protein-protein interaction network analysis detects genetic sub-networks regulating reproductive capacity. Description: Kumar, Tarun, et al. Topology-driven protein-protein interaction network analysis detects genetic sub-networks regulating reproductive capacity. ''Elife''. 2020 Sep 9; '''9''':
A gene prioritization method based on a swine multi-omics knowledgebase and a deep learning model. Description: Fu, Yuhua, et al. A gene prioritization method based on a swine multi-omics knowledgebase and a deep learning model. ''Commun Biol''. 2020 Sep 10; '''3''' (1):502
Complete mapping of mutations to the SARS-CoV-2 spike receptor-binding domain that escape antibody recognition. Description: Greaney, Allison J, et al. Complete mapping of mutations to the SARS-CoV-2 spike receptor-binding domain that escape antibody recognition. ''bioRxiv''. 2020 Sep 10;
In vivo non-invasive staining-free visualization of dermal mast cells in healthy, allergy and mastocytosis humans using two-photon fluorescence lifetime imaging. Description: Kroger, Marius, et al. In vivo non-invasive staining-free visualization of dermal mast cells in healthy, allergy and mastocytosis humans using two-photon fluorescence lifetime imaging. ''Sci Rep''. 2020 Sep 10; '''10''' (1):14930
Optimizing the genetic prediction of the eye and hair color for North Eurasian populations. Description: Balanovska, Elena, et al. Optimizing the genetic prediction of the eye and hair color for North Eurasian populations. ''BMC Genomics''. 2020 Sep 10; '''21''' (Suppl 7):527
Accelerating eye movement research via accurate and affordable smartphone eye tracking. Description: Valliappan, Nachiappan, et al. Accelerating eye movement research via accurate and affordable smartphone eye tracking. ''Nat Commun''. 2020 Sep 11; '''11''' (1):4553
Integrated RNA-seq Analysis Indicates Asynchrony in Clock Genes between Tissues under Spaceflight. Description: Fujita, Shin-Ichiro, et al. Integrated RNA-seq Analysis Indicates Asynchrony in Clock Genes between Tissues under Spaceflight. ''Life (Basel)''. 2020 Sep 11; '''10''' (9):
Stacking fault energy prediction for austenitic steels: thermodynamic modeling vs. machine learning. Description: Wang, Xin, et al. Stacking fault energy prediction for austenitic steels: thermodynamic modeling vs. machine learning. ''Sci Technol Adv Mater''. 2020 Sep 11; '''21''' (1):626-634
SARS-CoV-2 infection of human iPSC-derived cardiac cells predicts novel cytopathic features in hearts of COVID-19 patients. Description: Perez-Bermejo, Juan A, et al. SARS-CoV-2 infection of human iPSC-derived cardiac cells predicts novel cytopathic features in hearts of COVID-19 patients. ''bioRxiv''. 2020 Sep 12;
Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning. Description: Bikia, Vasiliki, et al. Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning. ''Sci Rep''. 2020 Sep 14; '''10''' (1):15015
Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers. Description: Bhat, Ankita, et al. Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers. ''J Transl Med''. 2020 Sep 14; '''18''' (1):348
Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning. Description: Pataki, Balint Armin, et al. Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning. ''Sci Rep''. 2020 Sep 14; '''10''' (1):15026
Solubility-Weighted Index: fast and accurate prediction of protein solubility. Description: Bhandari, Bikash K, et al. Solubility-Weighted Index: fast and accurate prediction of protein solubility. ''Bioinformatics''. 2020 Sep 15; '''36''' (18):4691-4698
Age and life expectancy clocks based on machine learning analysis of mouse frailty. Description: Schultz, Michael B, et al. Age and life expectancy clocks based on machine learning analysis of mouse frailty. ''Nat Commun''. 2020 Sep 15; '''11''' (1):4618
Mapping twenty years of corn and soybean across the US Midwest using the Landsat archive. Description: Wang, Sherrie, et al. Mapping twenty years of corn and soybean across the US Midwest using the Landsat archive. ''Sci Data''. 2020 Sep 15; '''7''' (1):307
Multiple Reaction Pathways in the Morphinone Reductase-Catalyzed Hydride Transfer Reaction. Description: Chen, Xi, et al. Multiple Reaction Pathways in the Morphinone Reductase-Catalyzed Hydride Transfer Reaction. ''ACS Omega''. 2020 Sep 15; '''5''' (36):23468-23480
REDIAL-2020: A Suite of Machine Learning Models to Estimate Anti-SARS-CoV-2 Activities. Description: Kc, Govinda, et al. REDIAL-2020: A Suite of Machine Learning Models to Estimate Anti-SARS-CoV-2 Activities. ''ChemRxiv''. 2020 Sep 16;
Development of a volumetric pancreas segmentation CT dataset for AI applications through trained technologists: a study during the COVID 19 containment phase. Description: Suman, Garima, et al. Development of a volumetric pancreas segmentation CT dataset for AI applications through trained technologists: a study during the COVID 19 containment phase. ''Abdom Radiol (NY)''. 2020 Sep 16;
Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution. Description: Cowan, Cameron S, et al. Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution. ''Cell''. 2020 Sep 17; '''182''' (6):1623-1640.e34
Combination of Multivariate Standard Addition Technique and Deep Kernel Learning Model for Determining Multi-Ion in Hydroponic Nutrient Solution. Description: Ngoc Tuan, Vu, et al. Combination of Multivariate Standard Addition Technique and Deep Kernel Learning Model for Determining Multi-Ion in Hydroponic Nutrient Solution. ''Sensors (Basel)''. 2020 Sep 17; '''20''' (18):
NEDD: a network embedding based method for predicting drug-disease associations. Description: Zhou, Renyi, et al. NEDD: a network embedding based method for predicting drug-disease associations. ''BMC Bioinformatics''. 2020 Sep 17; '''21''' (Suppl 13):387
Ultrasensitive deletion detection links mitochondrial DNA replication, disease, and aging. Description: Lujan, Scott A, et al. Ultrasensitive deletion detection links mitochondrial DNA replication, disease, and aging. ''Genome Biol''. 2020 Sep 17; '''21''' (1):248
Heartbeat Detection by Laser Doppler Vibrometry and Machine Learning. Description: Antognoli, Luca, et al. Heartbeat Detection by Laser Doppler Vibrometry and Machine Learning. ''Sensors (Basel)''. 2020 Sep 18; '''20''' (18):
The transcriptomic response of cells to a drug combination is more than the sum of the responses to the monotherapies. Description: Diaz, Jennifer El, et al. The transcriptomic response of cells to a drug combination is more than the sum of the responses to the monotherapies. ''Elife''. 2020 Sep 18; '''9''':
COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images. Description: Zhang, Ruochi, et al. COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images. ''Interdiscip Sci''. 2020 Sep 21;
Data-Driven Methods for the Estimation of Leaf Water and Dry Matter Content: Performances, Potential and Limitations. Description: Yang, Bin, et al. Data-Driven Methods for the Estimation of Leaf Water and Dry Matter Content: Performances, Potential and Limitations. ''Sensors (Basel)''. 2020 Sep 21; '''20''' (18):
Development of a High-Resolution Single-Nucleotide Polymorphism Strain-Typing Assay Using Whole Genome-Based Analyses for the Lactobacillus acidophilus Probiotic Strain. Description: Huang, Chien-Hsun, et al. Development of a High-Resolution Single-Nucleotide Polymorphism Strain-Typing Assay Using Whole Genome-Based Analyses for the Lactobacillus acidophilus Probiotic Strain. ''Microorganisms''. 2020 Sep 21; '''8''' (9):
Dynamic encoding of social threat and spatial context in the hypothalamus. Description: Krzywkowski, Piotr, et al. Dynamic encoding of social threat and spatial context in the hypothalamus. ''Elife''. 2020 Sep 21; '''9''':
Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network. Description: Ahmad, Iftikhar, et al. Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network. ''Epidemiol Infect''. 2020 Sep 21; '''148''': e222
The effect of hybridization on transposable element accumulation in an undomesticated fungal species. Description: Henault, Mathieu, et al. The effect of hybridization on transposable element accumulation in an undomesticated fungal species. ''Elife''. 2020 Sep 21; '''9''':
The Impact Analysis of Land Features to JL1-3B Nighttime Light Data at Parcel Level: Illustrated by the Case of Changchun, China. Description: Wang, Fengyan, et al. The Impact Analysis of Land Features to JL1-3B Nighttime Light Data at Parcel Level: Illustrated by the Case of Changchun, China. ''Sensors (Basel)''. 2020 Sep 22; '''20''' (18):
Light-regulated allosteric switch enables temporal and subcellular control of enzyme activity. Description: Shaaya, Mark, et al. Light-regulated allosteric switch enables temporal and subcellular control of enzyme activity. ''Elife''. 2020 Sep 23; '''9''':
Molecular mechanism for direct actin force-sensing by alpha-catenin. Description: Mei, Lin, et al. Molecular mechanism for direct actin force-sensing by alpha-catenin. ''Elife''. 2020 Sep 24; '''9''':
A machine learning Automated Recommendation Tool for synthetic biology. Description: Radivojevic, Tijana, et al. A machine learning Automated Recommendation Tool for synthetic biology. ''Nat Commun''. 2020 Sep 25; '''11''' (1):4879
Monitoring the BTEX Volatiles during 3D Printing with Acrylonitrile Butadiene Styrene (ABS) Using Electronic Nose and Proton Transfer Reaction Mass Spectrometry. Description: Wojnowski, Wojciech, et al. Monitoring the BTEX Volatiles during 3D Printing with Acrylonitrile Butadiene Styrene (ABS) Using Electronic Nose and Proton Transfer Reaction Mass Spectrometry. ''Sensors (Basel)''. 2020 Sep 27; '''20''' (19):
MAIT cell activation and dynamics associated with COVID-19 disease severity. Description: Parrot, Tiphaine, et al. MAIT cell activation and dynamics associated with COVID-19 disease severity. ''Sci Immunol''. 2020 Sep 28; '''5''' (51):
An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data. Description: Wu, Chao, et al. An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data. ''Sensors (Basel)''. 2020 Sep 28; '''20''' (19):
Assigning the Origin of Microbial Natural Products by Chemical Space Map and Machine Learning. Description: Capecchi, Alice, et al. Assigning the Origin of Microbial Natural Products by Chemical Space Map and Machine Learning. ''Biomolecules''. 2020 Sep 28; '''10''' (10):
Molecular Architecture of Early Dissemination and Massive Second Wave of the SARS-CoV-2 Virus in a Major Metropolitan Area. Description: Long, S Wesley, et al. Molecular Architecture of Early Dissemination and Massive Second Wave of the SARS-CoV-2 Virus in a Major Metropolitan Area. ''medRxiv''. 2020 Sep 29;
The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning models. Description: Peng, Bo, et al. The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning models. ''J Transl Med''. 2020 Sep 29; '''18''' (1):370
Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study. Description: Sultana, Madeena, et al. Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study. ''JMIR Mhealth Uhealth''. 2020 Sep 29; '''8''' (9):e17818
Functional parcellation of the default mode network: a large-scale meta-analysis. Description: Wang, Shaoming, et al. Functional parcellation of the default mode network: a large-scale meta-analysis. ''Sci Rep''. 2020 Sep 30; '''10''' (1):16096
Emotion Regulation Modulates Dietary Decision-Making via Activity in the Prefrontal-Striatal Valuation System. Description: Morawetz, Carmen, et al. Emotion Regulation Modulates Dietary Decision-Making via Activity in the Prefrontal-Striatal Valuation System. ''Cereb Cortex''. 2020 Oct 1; '''30''' (11):5731-5749
GTB-PPI: Predict Protein-protein Interactions Based on L1-regularized Logistic Regression and Gradient Tree Boosting. Description: Yu, Bin, et al. GTB-PPI: Predict Protein-protein Interactions Based on L1-regularized Logistic Regression and Gradient Tree Boosting. ''Genomics Proteomics Bioinformatics''. 2020 Oct; '''18''' (5):582-592
Platon: identification and characterization of bacterial plasmid contigs in short-read draft assemblies exploiting protein sequence-based replicon distribution scores. Description: Schwengers, Oliver, et al. Platon: identification and characterization of bacterial plasmid contigs in short-read draft assemblies exploiting protein sequence-based replicon distribution scores. ''Microb Genom''. 2020 Oct; '''6''' (10):
Prokaryotic single-cell RNA sequencing by in situ combinatorial indexing. Description: Blattman, Sydney B, et al. Prokaryotic single-cell RNA sequencing by in situ combinatorial indexing. ''Nat Microbiol''. 2020 Oct; '''5''' (10):1192-1201
Robust T Cell Immunity in Convalescent Individuals with Asymptomatic or Mild COVID-19. Description: Sekine, Takuya, et al. Robust T Cell Immunity in Convalescent Individuals with Asymptomatic or Mild COVID-19. ''Cell''. 2020 Oct 1; '''183''' (1):158-168.e14
Using indication embeddings to represent patient health for drug safety studies. Description: Melamed, Rachel D. Using indication embeddings to represent patient health for drug safety studies. ''JAMIA Open''. 2020 Oct; '''3''' (3):422-430
Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adults. Description: Su, Yaping, et al. Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adults. ''Eur J Radiol''. 2020 Oct; '''131''': 109268
A non-enveloped arbovirus released in lysosome-derived extracellular vesicles induces super-infection exclusion. Description: Labadie, Thomas, et al. A non-enveloped arbovirus released in lysosome-derived extracellular vesicles induces super-infection exclusion. ''PLoS Pathog''. 2020 Oct; '''16''' (10):e1009015
A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination. Description: Laturnus, Sophie, et al. A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination. ''Neuroinformatics''. 2020 Oct; '''18''' (4):591-609
Data on assessment and exploratory statistical correlation data analysis of sintered Nd:YAG laser welded 2507 duplex stainless steel. Description: Olanipekun, Ayorinde Tayo, et al. Data on assessment and exploratory statistical correlation data analysis of sintered Nd:YAG laser welded 2507 duplex stainless steel. ''Data Brief''. 2020 Oct; '''32''': 106201
Discovery and Validation of Urinary Molecular Signature of Early Sepsis. Description: Bandyopadhyay, Sabyasachi, et al. Discovery and Validation of Urinary Molecular Signature of Early Sepsis. ''Crit Care Explor''. 2020 Oct; '''2''' (10):e0195
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. Description: Manduchi, Elisabetta, et al. Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. ''BMC Bioinformatics''. 2020 Oct 1; '''21''' (1):430
Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires. Description: Sainburg, Tim, et al. Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires. ''PLoS Comput Biol''. 2020 Oct; '''16''' (10):e1008228
Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions. Description: Rodriguez-Perez, Raquel, et al. Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions. ''J Comput Aided Mol Des''. 2020 Oct; '''34''' (10):1013-1026
Major role of iron uptake systems in the intrinsic extra-intestinal virulence of the genus Escherichia revealed by a genome-wide association study. Description: Galardini, Marco, et al. Major role of iron uptake systems in the intrinsic extra-intestinal virulence of the genus Escherichia revealed by a genome-wide association study. ''PLoS Genet''. 2020 Oct; '''16''' (10):e1009065
Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study. Description: Shao, Lizhi, et al. Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study. ''Ann Surg Oncol''. 2020 Oct; '''27''' (11):4296-4306
NeAT: a Nonlinear Analysis Toolbox for Neuroimaging. Description: Casamitjana, Adria, et al. NeAT: a Nonlinear Analysis Toolbox for Neuroimaging. ''Neuroinformatics''. 2020 Oct; '''18''' (4):517-530
Prediction of a Cell-Class-Specific Mouse Mesoconnectome Using Gene Expression Data. Description: Timonidis, Nestor, et al. Prediction of a Cell-Class-Specific Mouse Mesoconnectome Using Gene Expression Data. ''Neuroinformatics''. 2020 Oct; '''18''' (4):611-626
Quantitative analysis questions the role of MeCP2 as a global regulator of alternative splicing. Description: Chhatbar, Kashyap, et al. Quantitative analysis questions the role of MeCP2 as a global regulator of alternative splicing. ''PLoS Genet''. 2020 Oct; '''16''' (10):e1009087
SPOTONE: Hot Spots on Protein Complexes with Extremely Randomized Trees via Sequence-Only Features. Description: Preto, A J, et al. SPOTONE: Hot Spots on Protein Complexes with Extremely Randomized Trees via Sequence-Only Features. ''Int J Mol Sci''. 2020 Oct 1; '''21''' (19):
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks. Description: Gilson, Matthieu, et al. The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks. ''PLoS Comput Biol''. 2020 Oct; '''16''' (10):e1008127
BALSAM-An Interactive Online Platform for Breath Analysis, Visualization and Classification. Description: Weber, Philipp, et al. BALSAM-An Interactive Online Platform for Breath Analysis, Visualization and Classification. ''Metabolites''. 2020 Oct 2; '''10''' (10):
Efficient Unsupervised Classification of Hyperspectral Images Using Voronoi Diagrams and Strong Patterns. Description: Bilius, Laura Bianca, et al. Efficient Unsupervised Classification of Hyperspectral Images Using Voronoi Diagrams and Strong Patterns. ''Sensors (Basel)''. 2020 Oct 5; '''20''' (19):
Machine learning-guided discovery and design of non-hemolytic peptides. Description: Plisson, Fabien, et al. Machine learning-guided discovery and design of non-hemolytic peptides. ''Sci Rep''. 2020 Oct 6; '''10''' (1):16581
Large-Scale Multi-omic Analysis of COVID-19 Severity. Description: Overmyer, Katherine A, et al. Large-Scale Multi-omic Analysis of COVID-19 Severity. ''Cell Syst''. 2020 Oct 8;
Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19. Description: Dhall, Anjali, et al. Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19. ''Brief Bioinform''. 2020 Oct 9;
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis. Description: Jin, Cheng, et al. Development and evaluation of an artificial intelligence system for COVID-19 diagnosis. ''Nat Commun''. 2020 Oct 9; '''11''' (1):5088
Large-scale dynamics of perceptual decision information across human cortex. Description: Wilming, Niklas, et al. Large-scale dynamics of perceptual decision information across human cortex. ''Nat Commun''. 2020 Oct 9; '''11''' (1):5109
Myoelectric digit action decoding with multi-output, multi-class classification: an offline analysis. Description: Krasoulis, Agamemnon, et al. Myoelectric digit action decoding with multi-output, multi-class classification: an offline analysis. ''Sci Rep''. 2020 Oct 9; '''10''' (1):16872
Prediction of creep failure time using machine learning. Description: Biswas, Soumyajyoti, et al. Prediction of creep failure time using machine learning. ''Sci Rep''. 2020 Oct 9; '''10''' (1):16910
Reconstructing the maize leaf regulatory network using ChIP-seq data of 104 transcription factors. Description: Tu, Xiaoyu, et al. Reconstructing the maize leaf regulatory network using ChIP-seq data of 104 transcription factors. ''Nat Commun''. 2020 Oct 9; '''11''' (1):5089
The Bitome: digitized genomic features reveal fundamental genome organization. Description: Lamoureux, Cameron R, et al. The Bitome: digitized genomic features reveal fundamental genome organization. ''Nucleic Acids Res''. 2020 Oct 9; '''48''' (18):10157-10163
Docking and QSAR of Aminothioureas at the SARS-CoV-2 S-Protein-Human ACE2 Receptor Interface. Description: Plonka, Wojciech, et al. Docking and QSAR of Aminothioureas at the SARS-CoV-2 S-Protein-Human ACE2 Receptor Interface. ''Molecules''. 2020 Oct 12; '''25''' (20):
Comparing Fragment Binding PosesPrediction Using HSP90 as a Key Study: When Bound Water Makes the Difference. Description: Bolcato, Giovanni, et al. Comparing Fragment Binding PosesPrediction Using HSP90 as a Key Study: When Bound Water Makes the Difference. ''Molecules''. 2020 Oct 12; '''25''' (20):
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study. Description: Low, Daniel M, et al. Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study. ''J Med Internet Res''. 2020 Oct 12; '''22''' (10):e22635
Unsupervised learning for large-scale corneal topography clustering. Description: Zeboulon, Pierre, et al. Unsupervised learning for large-scale corneal topography clustering. ''Sci Rep''. 2020 Oct 12; '''10''' (1):16973
Exploration into biomarker potential of region-specific brain gene co-expression networks. Description: Hang, Yuqing, et al. Exploration into biomarker potential of region-specific brain gene co-expression networks. ''Sci Rep''. 2020 Oct 13; '''10''' (1):17089
Population structure and pharmacogenomic risk stratification in the United States. Description: Nagar, Shashwat Deepali, et al. Population structure and pharmacogenomic risk stratification in the United States. ''BMC Biol''. 2020 Oct 13; '''18''' (1):140
Single-cell RNA cap and tail sequencing (scRCAT-seq) reveals subtype-specific isoforms differing in transcript demarcation. Description: Hu, Youjin, et al. Single-cell RNA cap and tail sequencing (scRCAT-seq) reveals subtype-specific isoforms differing in transcript demarcation. ''Nat Commun''. 2020 Oct 13; '''11''' (1):5148
Transient and Persistent Representations of Odor Value in Prefrontal Cortex. Description: Wang, Peter Y, et al. Transient and Persistent Representations of Odor Value in Prefrontal Cortex. ''Neuron''. 2020 Oct 14; '''108''' (1):209-224.e6
An Adaptive Deep Learning Framework for Dynamic Image Classification in the Internet of Things Environment. Description: Jameel, Syed Muslim, et al. An Adaptive Deep Learning Framework for Dynamic Image Classification in the Internet of Things Environment. ''Sensors (Basel)''. 2020 Oct 14; '''20''' (20):
Assessment of Soil Features on the Growth of Environmental Nontuberculous Mycobacterial Isolates from Hawai'i. Description: Glickman, Cody M, et al. Assessment of Soil Features on the Growth of Environmental Nontuberculous Mycobacterial Isolates from Hawai'i. ''Appl Environ Microbiol''. 2020 Oct 15; '''86''' (21):
DOT1L-mediated murine neuronal differentiation associates with H3K79me2 accumulation and preserves SOX2-enhancer accessibility. Description: Ferrari, Francesco, et al. DOT1L-mediated murine neuronal differentiation associates with H3K79me2 accumulation and preserves SOX2-enhancer accessibility. ''Nat Commun''. 2020 Oct 15; '''11''' (1):5200
Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners. Description: Garcia-Dias, Rafael, et al. Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners. ''Neuroimage''. 2020 Oct 15; '''220''': 117127
SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning. Description: Burlingame, Erik A, et al. SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning. ''Sci Rep''. 2020 Oct 15; '''10''' (1):17507
A Python-Based Pipeline for Preprocessing LC-MS Data for Untargeted Metabolomics Workflows. Description: Riquelme, Gabriel, et al. A Python-Based Pipeline for Preprocessing LC-MS Data for Untargeted Metabolomics Workflows. ''Metabolites''. 2020 Oct 16; '''10''' (10):
Development of a prognostic model for mortality in COVID-19 infection using machine learning. Description: Booth, Adam L, et al. Development of a prognostic model for mortality in COVID-19 infection using machine learning. ''Mod Pathol''. 2020 Oct 16;
Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status. Description: Suh, Chong Hyun, et al. Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status. ''Sci Rep''. 2020 Oct 16; '''10''' (1):17525
Countering DDoS Attacks in SIP Based VoIP Networks Using Recurrent Neural Networks. Description: Nazih, Waleed, et al. Countering DDoS Attacks in SIP Based VoIP Networks Using Recurrent Neural Networks. ''Sensors (Basel)''. 2020 Oct 17; '''20''' (20):
Development of a Minimally Invasive Screening Tool to Identify Obese Pediatric Population at Risk of Obstructive Sleep Apnea/Hypopnea Syndrome. Description: Calderon, Jose Miguel, et al. Development of a Minimally Invasive Screening Tool to Identify Obese Pediatric Population at Risk of Obstructive Sleep Apnea/Hypopnea Syndrome. ''Bioengineering (Basel)''. 2020 Oct 19; '''7''' (4):
Essential structural and experimental descriptors for bulk and grain boundary conductivities of Li solid electrolytes. Description: Wu, Yen-Ju, et al. Essential structural and experimental descriptors for bulk and grain boundary conductivities of Li solid electrolytes. ''Sci Technol Adv Mater''. 2020 Oct 19; '''21''' (1):712-725
On the objectivity, reliability, and validity of deep learning enabled bioimage analyses. Description: Segebarth, Dennis, et al. On the objectivity, reliability, and validity of deep learning enabled bioimage analyses. ''Elife''. 2020 Oct 19; '''9''':
Patients' Convergence of Mass and Interpersonal Communication on an Online Forum: Hybrid Methods Analysis. Description: Sanders, Remco, et al. Patients' Convergence of Mass and Interpersonal Communication on an Online Forum: Hybrid Methods Analysis. ''J Med Internet Res''. 2020 Oct 19; '''22''' (10):e18303
Discovering the molecular differences between right- and left-sided colon cancer using machine learning methods. Description: Jiang, Yimei, et al. Discovering the molecular differences between right- and left-sided colon cancer using machine learning methods. ''BMC Cancer''. 2020 Oct 19; '''20''' (1):1012
Feasibility of Asynchronous and Automated Telemedicine in Otolaryngology: Prospective Cross-Sectional Study. Description: Cha, Dongchul, et al. Feasibility of Asynchronous and Automated Telemedicine in Otolaryngology: Prospective Cross-Sectional Study. ''JMIR Med Inform''. 2020 Oct 19; '''8''' (10):e23680
Mutations associated with neuropsychiatric conditions delineate functional brain connectivity dimensions contributing to autism and schizophrenia. Description: Moreau, Clara A, et al. Mutations associated with neuropsychiatric conditions delineate functional brain connectivity dimensions contributing to autism and schizophrenia. ''Nat Commun''. 2020 Oct 19; '''11''' (1):5272
Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data. Description: Takahashi, Satoshi, et al. Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data. ''Biomolecules''. 2020 Oct 19; '''10''' (10):
Predicting human health from biofluid-based metabolomics using machine learning. Description: Evans, Ethan D, et al. Predicting human health from biofluid-based metabolomics using machine learning. ''Sci Rep''. 2020 Oct 19; '''10''' (1):17635
Single Cell ADNP Predictive of Human Muscle Disorders: Mouse Knockdown Results in Muscle Wasting. Description: Kapitansky, Oxana, et al. Single Cell ADNP Predictive of Human Muscle Disorders: Mouse Knockdown Results in Muscle Wasting. ''Cells''. 2020 Oct 19; '''9''' (10):
Assessing regulatory features of the current transcriptional network of Saccharomyces cerevisiae. Description: Monteiro, Pedro T, et al. Assessing regulatory features of the current transcriptional network of Saccharomyces cerevisiae. ''Sci Rep''. 2020 Oct 20; '''10''' (1):17744
Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19. Description: Shu, Ting, et al. Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19. ''Immunity''. 2020 Oct 20;
Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study. Description: Pantel, Jean Tori, et al. Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study. ''J Med Internet Res''. 2020 Oct 22; '''22''' (10):e19263
Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous network. Description: Liu, Minghui, et al. Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous network. ''BMC Med Genomics''. 2020 Oct 22; '''13''' (Suppl 10):153
Analysis of Machine Learning Techniques Applied to Sensory Detection of Vehicles in Intelligent Crosswalks. Description: Lozano Dominguez, Jose Manuel, et al. Analysis of Machine Learning Techniques Applied to Sensory Detection of Vehicles in Intelligent Crosswalks. ''Sensors (Basel)''. 2020 Oct 23; '''20''' (21):
A rank-based marker selection method for high throughput scRNA-seq data. Description: Vargo, Alexander H S, et al. A rank-based marker selection method for high throughput scRNA-seq data. ''BMC Bioinformatics''. 2020 Oct 23; '''21''' (1):477
ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound. Description: Malki, Zohair, et al. ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound. ''Neural Comput Appl''. 2020 Oct 23; 1-20
Convolutional Neural Network Classifies Pathological Voice Change in Laryngeal Cancer with High Accuracy. Description: Kim, HyunBum, et al. Convolutional Neural Network Classifies Pathological Voice Change in Laryngeal Cancer with High Accuracy. ''J Clin Med''. 2020 Oct 25; '''9''' (11):
Quantitative Identification of Functional Connectivity Disturbances in Neuropsychiatric Lupus Based on Resting-State fMRI: A Robust Machine Learning Approach. Description: Simos, Nicholas John, et al. Quantitative Identification of Functional Connectivity Disturbances in Neuropsychiatric Lupus Based on Resting-State fMRI: A Robust Machine Learning Approach. ''Brain Sci''. 2020 Oct 25; '''10''' (11):
Annotation of Allosteric Compounds to Enhance Bioactivity Modeling for Class A GPCRs. Description: Burggraaff, Lindsey, et al. Annotation of Allosteric Compounds to Enhance Bioactivity Modeling for Class A GPCRs. ''J Chem Inf Model''. 2020 Oct 26; '''60''' (10):4664-4672
Defining data-driven subgroups of obsessive-compulsive disorder with different treatment responses based on resting-state functional connectivity. Description: Kwak, Seoyeon, et al. Defining data-driven subgroups of obsessive-compulsive disorder with different treatment responses based on resting-state functional connectivity. ''Transl Psychiatry''. 2020 Oct 26; '''10''' (1):359
Institution-Specific Machine Learning Models for Prehospital Assessment to Predict Hospital Admission: Prediction Model Development Study. Description: Shirakawa, Toru, et al. Institution-Specific Machine Learning Models for Prehospital Assessment to Predict Hospital Admission: Prediction Model Development Study. ''JMIR Med Inform''. 2020 Oct 27; '''8''' (10):e20324
Machine Learning Aided Photonic Diagnostic System for Minimally Invasive Optically Guided Surgery in the Hepatoduodenal Area. Description: Zherebtsov, Evgeny, et al. Machine Learning Aided Photonic Diagnostic System for Minimally Invasive Optically Guided Surgery in the Hepatoduodenal Area. ''Diagnostics (Basel)''. 2020 Oct 27; '''10''' (11):
Prediction of Suicide-Related Events by Analyzing Electronic Medical Records from PTSD Patients with Bipolar Disorder. Description: Fan, Peihao, et al. Prediction of Suicide-Related Events by Analyzing Electronic Medical Records from PTSD Patients with Bipolar Disorder. ''Brain Sci''. 2020 Oct 27; '''10''' (11):
Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features. Description: Gomes Ataide, Elmer Jeto, et al. Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features. ''Sensors (Basel)''. 2020 Oct 27; '''20''' (21):
Computational Prediction of Protein Arginine Methylation Based on Composition-Transition-Distribution Features. Description: Hou, Ruiyan, et al. Computational Prediction of Protein Arginine Methylation Based on Composition-Transition-Distribution Features. ''ACS Omega''. 2020 Oct 27; '''5''' (42):27470-27479
Quantitative Structure-Activity Relationship Machine Learning Models and their Applications for Identifying Viral 3CLpro- and RdRp-Targeting Compounds as Potential Therapeutics for COVID-19 and Related Viral Infections. Description: Ivanov, Julian, et al. Quantitative Structure-Activity Relationship Machine Learning Models and their Applications for Identifying Viral 3CLpro- and RdRp-Targeting Compounds as Potential Therapeutics for COVID-19 and Related Viral Infections. ''ACS Omega''. 2020 Oct 27; '''5''' (42):27344-27358
VIP interneurons in mouse primary visual cortex selectively enhance responses to weak but specific stimuli. Description: Millman, Daniel J, et al. VIP interneurons in mouse primary visual cortex selectively enhance responses to weak but specific stimuli. ''Elife''. 2020 Oct 27; '''9''':
Amino Acid k-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological Insights. Description: ValizadehAslani, Taha, et al. Amino Acid k-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological Insights. ''Biology (Basel)''. 2020 Oct 28; '''9''' (11):
Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology images. Description: Hu, Jing, et al. Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology images. ''Transl Oncol''. 2020 Oct 28; '''14''' (1):100921
Development of a Mobile Device for Odor Identification and Optimization of Its Measurement Protocol Based on the Free-Hand Measurement. Description: Imamura, Gaku, et al. Development of a Mobile Device for Odor Identification and Optimization of Its Measurement Protocol Based on the Free-Hand Measurement. ''Sensors (Basel)''. 2020 Oct 30; '''20''' (21):
Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study. Description: Lin, Yu-Jiun, et al. Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study. ''JMIR Med Inform''. 2020 Oct 30; '''8''' (10):e24305
Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients. Description: Kong, JungHo, et al. Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients. ''Nat Commun''. 2020 Oct 30; '''11''' (1):5485
The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias. Description: Tancev, Georgi, et al. The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias. ''Sensors (Basel)''. 2020 Oct 30; '''20''' (21):
Machine learning enables improved runtime and precision for bio-loggers on seabirds. Description: Korpela, Joseph, et al. Machine learning enables improved runtime and precision for bio-loggers on seabirds. ''Commun Biol''. 2020 Oct 30; '''3''' (1):633
Machine learning model demonstrates stunting at birth and systemic inflammatory biomarkers as predictors of subsequent infant growth - a four-year prospective study. Description: Harrison, Elizabeth, et al. Machine learning model demonstrates stunting at birth and systemic inflammatory biomarkers as predictors of subsequent infant growth - a four-year prospective study. ''BMC Pediatr''. 2020 Oct 30; '''20''' (1):498
Strong oral plaque microbiome signatures for dental implant diseases identified by strain-resolution metagenomics. Description: Ghensi, Paolo, et al. Strong oral plaque microbiome signatures for dental implant diseases identified by strain-resolution metagenomics. ''NPJ Biofilms Microbiomes''. 2020 Oct 30; '''6''' (1):47
Deep Learning-Based Positioning of Visually Impaired People in Indoor Environments. Description: Mahida, Payal, et al. Deep Learning-Based Positioning of Visually Impaired People in Indoor Environments. ''Sensors (Basel)''. 2020 Oct 31; '''20''' (21):
Accurate reconstruction of bacterial pan- and core genomes with PEPPAN. Description: Zhou, Zhemin, et al. Accurate reconstruction of bacterial pan- and core genomes with PEPPAN. ''Genome Res''. 2020 Nov; '''30''' (11):1667-1679
A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error. Description: Corny, Jennifer, et al. A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error. ''J Am Med Inform Assoc''. 2020 Nov 1; '''27''' (11):1688-1694
A multi-scale cortical wiring space links cellular architecture and functional dynamics in the human brain. Description: Paquola, Casey, et al. A multi-scale cortical wiring space links cellular architecture and functional dynamics in the human brain. ''PLoS Biol''. 2020 Nov; '''18''' (11):e3000979
Bioinformatics analysis of the genes involved in the extension of prostate cancer to adjacent lymph nodes by supervised and unsupervised machine learning methods: The role of SPAG1 and PLEKHF2. Description: Shamsara, Elham, et al. Bioinformatics analysis of the genes involved in the extension of prostate cancer to adjacent lymph nodes by supervised and unsupervised machine learning methods: The role of SPAG1 and PLEKHF2. ''Genomics''. 2020 Nov; '''112''' (6):3871-3882
Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain. Description: Ball, Gareth, et al. Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain. ''PLoS Biol''. 2020 Nov; '''18''' (11):e3000976
EventEpi-A natural language processing framework for event-based surveillance. Description: Abbood, Auss, et al. EventEpi-A natural language processing framework for event-based surveillance. ''PLoS Comput Biol''. 2020 Nov; '''16''' (11):e1008277
High incidence of glucocorticoid-induced hyperglycaemia in inflammatory bowel disease: metabolic and clinical predictors identified by machine learning. Description: McDonnell, Martin, et al. High incidence of glucocorticoid-induced hyperglycaemia in inflammatory bowel disease: metabolic and clinical predictors identified by machine learning. ''BMJ Open Gastroenterol''. 2020 Nov; '''7''' (1):
Host variables confound gut microbiota studies of human disease. Description: Vujkovic-Cvijin, Ivan, et al. Host variables confound gut microbiota studies of human disease. ''Nature''. 2020 Nov; '''587''' (7834):448-454
Model-based decoupling of evoked and spontaneous neural activity in calcium imaging data. Description: Triplett, Marcus A, et al. Model-based decoupling of evoked and spontaneous neural activity in calcium imaging data. ''PLoS Comput Biol''. 2020 Nov; '''16''' (11):e1008330
Na(+)-dependent gate dynamics and electrostatic attraction ensure substrate coupling in glutamate transporters. Description: Alleva, C, et al. Na(+)-dependent gate dynamics and electrostatic attraction ensure substrate coupling in glutamate transporters. ''Sci Adv''. 2020 Nov; '''6''' (47):
Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms. Description: Son, Jaemin, et al. Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms. ''Transl Vis Sci Technol''. 2020 Nov; '''9''' (6):28
Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: A machine learning study using Swedish national registry data. Description: Chen, Qi, et al. Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: A machine learning study using Swedish national registry data. ''PLoS Med''. 2020 Nov; '''17''' (11):e1003416
Prediction of Survival and Recurrence Patterns by Machine Learning in Gastric Cancer Cases Undergoing Radiation Therapy and Chemotherapy. Description: Akcay, Melek, et al. Prediction of Survival and Recurrence Patterns by Machine Learning in Gastric Cancer Cases Undergoing Radiation Therapy and Chemotherapy. ''Adv Radiat Oncol''. 2020 Nov-Dec; '''5''' (6):1179-1187
Prestimulus alpha power is related to the strength of stimulus representation. Description: Barne, Louise C, et al. Prestimulus alpha power is related to the strength of stimulus representation. ''Cortex''. 2020 Nov; '''132''': 250-257
Revealing the structure of pharmacobehavioral space through motion sequencing. Description: Wiltschko, Alexander B, et al. Revealing the structure of pharmacobehavioral space through motion sequencing. ''Nat Neurosci''. 2020 Nov; '''23''' (11):1433-1443
Structure-based virtual screening of perfluoroalkyl and polyfluoroalkyl substances (PFASs) as endocrine disruptors of androgen receptor activity using molecular docking and machine learning. Description: Azhagiya Singam, Ettayapuram Ramaprasad, et al. Structure-based virtual screening of perfluoroalkyl and polyfluoroalkyl substances (PFASs) as endocrine disruptors of androgen receptor activity using molecular docking and machine learning. ''Environ Res''. 2020 Nov; '''190''': 109920
Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study. Description: Shastri, Sourabh, et al. Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study. ''Chaos Solitons Fractals''. 2020 Nov; '''140''': 110227
Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers. Description: Oktay, Ozan, et al. Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers. ''JAMA Netw Open''. 2020 Nov 2; '''3''' (11):e2027426
AI-Powered Effective Lens Position Prediction Improves the Accuracy of Existing Lens Formulas. Description: Li, Tingyang, et al. AI-Powered Effective Lens Position Prediction Improves the Accuracy of Existing Lens Formulas. ''medRxiv''. 2020 Nov 3;
Human Gene Functional Network-Informed Prediction of HIV-1 Host Dependency Factors. Description: Fu, Chen, et al. Human Gene Functional Network-Informed Prediction of HIV-1 Host Dependency Factors. ''mSystems''. 2020 Nov 3; '''5''' (6):
A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy Sessions. Description: Cohen, Joshua, et al. A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy Sessions. ''Int J Environ Res Public Health''. 2020 Nov 5; '''17''' (21):
Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognition. Description: Han, Bin, et al. Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognition. ''Sci Rep''. 2020 Nov 5; '''10''' (1):19140
Identification of early liver toxicity gene biomarkers using comparative supervised machine learning. Description: Smith, Brandi Patrice, et al. Identification of early liver toxicity gene biomarkers using comparative supervised machine learning. ''Sci Rep''. 2020 Nov 5; '''10''' (1):19128
Stress-Induced Translation Inhibition through Rapid Displacement of Scanning Initiation Factors. Description: Bresson, Stefan, et al. Stress-Induced Translation Inhibition through Rapid Displacement of Scanning Initiation Factors. ''Mol Cell''. 2020 Nov 5; '''80''' (3):470-484.e8
Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosis. Description: Yuan, Bo, et al. Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosis. ''Sci Rep''. 2020 Nov 5; '''10''' (1):19106
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. Description: Vaid, Akhil, et al. Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. ''J Med Internet Res''. 2020 Nov 6; '''22''' (11):e24018
Machine Learning Approaches Applied to GC-FID Fatty Acid Profiles to Discriminate Wild from Farmed Salmon. Description: Grazina, Liliana, et al. Machine Learning Approaches Applied to GC-FID Fatty Acid Profiles to Discriminate Wild from Farmed Salmon. ''Foods''. 2020 Nov 7; '''9''' (11):
Altered gut bacterial and metabolic signatures and their interaction in gestational diabetes mellitus. Description: Wang, Xing, et al. Altered gut bacterial and metabolic signatures and their interaction in gestational diabetes mellitus. ''Gut Microbes''. 2020 Nov 9; '''12''' (1):1-13
Diagnostic accuracy of deep-learning with anomaly detection for a small amount of imbalanced data: discriminating malignant parotid tumors in MRI. Description: Matsuo, Hidetoshi, et al. Diagnostic accuracy of deep-learning with anomaly detection for a small amount of imbalanced data: discriminating malignant parotid tumors in MRI. ''Sci Rep''. 2020 Nov 9; '''10''' (1):19388
Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation Study. Description: Zhong, Xiaorong, et al. Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation Study. ''JMIR Med Inform''. 2020 Nov 9; '''8''' (11):e19069
Single-cell multiomic profiling of human lungs reveals cell-type-specific and age-dynamic control of SARS-CoV2 host genes. Description: Wang, Allen, et al. Single-cell multiomic profiling of human lungs reveals cell-type-specific and age-dynamic control of SARS-CoV2 host genes. ''Elife''. 2020 Nov 9; '''9''':
Analysis of Scientific Publications During the Early Phase of the COVID-19 Pandemic: Topic Modeling Study. Description: Alga, Andreas, et al. Analysis of Scientific Publications During the Early Phase of the COVID-19 Pandemic: Topic Modeling Study. ''J Med Internet Res''. 2020 Nov 10; '''22''' (11):e21559
Biochemical patterns of antibody polyreactivity revealed through a bioinformatics-based analysis of CDR loops. Description: Boughter, Christopher T, et al. Biochemical patterns of antibody polyreactivity revealed through a bioinformatics-based analysis of CDR loops. ''Elife''. 2020 Nov 10; '''9''':
Combination of snapshot hyperspectral retinal imaging and optical coherence tomography to identify Alzheimer's disease patients. Description: Lemmens, Sophie, et al. Combination of snapshot hyperspectral retinal imaging and optical coherence tomography to identify Alzheimer's disease patients. ''Alzheimers Res Ther''. 2020 Nov 10; '''12''' (1):144
H-RACS: a handy tool to rank anti-cancer synergistic drugs. Description: Yan, Xinmiao, et al. H-RACS: a handy tool to rank anti-cancer synergistic drugs. ''Aging (Albany NY)''. 2020 Nov 10; '''12''' (21):21504-21517
Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach. Description: Qu, Jinchan, et al. Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach. ''BMC Genomics''. 2020 Nov 10; '''21''' (1):773
Application and interpretation of deep learning methods for the geographical origin identification of Radix Glycyrrhizae using hyperspectral imaging. Description: Yan, Tianying, et al. Application and interpretation of deep learning methods for the geographical origin identification of Radix Glycyrrhizae using hyperspectral imaging. ''RSC Adv''. 2020 Nov 11; '''10''' (68):41936-41945
CT-based radiomics features in the prediction of thyroid cartilage invasion from laryngeal and hypopharyngeal squamous cell carcinoma. Description: Guo, Ran, et al. CT-based radiomics features in the prediction of thyroid cartilage invasion from laryngeal and hypopharyngeal squamous cell carcinoma. ''Cancer Imaging''. 2020 Nov 11; '''20''' (1):81
Encoding of 3D Head Orienting Movements in the Primary Visual Cortex. Description: Guitchounts, Grigori, et al. Encoding of 3D Head Orienting Movements in the Primary Visual Cortex. ''Neuron''. 2020 Nov 11; '''108''' (3):512-525.e4
Predicting antibody affinity changes upon mutations by combining multiple predictors. Description: Kurumida, Yoichi, et al. Predicting antibody affinity changes upon mutations by combining multiple predictors. ''Sci Rep''. 2020 Nov 11; '''10''' (1):19533
Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation. Description: Pan, Pan, et al. Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation. ''J Med Internet Res''. 2020 Nov 11; '''22''' (11):e23128
Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls. Description: Park, Yae Won, et al. Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls. ''Sci Rep''. 2020 Nov 11; '''10''' (1):19567
Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach. Description: Shehzad, Aaqib, et al. Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach. ''J Med Internet Res''. 2020 Nov 11; '''22''' (11):e20840
Functional and Structural Connectome Features for Machine Learning Chemo-Brain Prediction in Women Treated for Breast Cancer with Chemotherapy. Description: Chen, Vincent Chin-Hung, et al. Functional and Structural Connectome Features for Machine Learning Chemo-Brain Prediction in Women Treated for Breast Cancer with Chemotherapy. ''Brain Sci''. 2020 Nov 12; '''10''' (11):
Neuromorphic on-chip recognition of saliva samples of COPD and healthy controls using memristive devices. Description: Zarrin, Pouya Soltani, et al. Neuromorphic on-chip recognition of saliva samples of COPD and healthy controls using memristive devices. ''Sci Rep''. 2020 Nov 12; '''10''' (1):19742
A Pilot Study Comparing the Efficacy of Lactate Dehydrogenase Levels Versus Circulating Cell-Free microRNAs in Monitoring Responses to Checkpoint Inhibitor Immunotherapy in Metastatic Melanoma Patients. Description: Bustos, Matias A, et al. A Pilot Study Comparing the Efficacy of Lactate Dehydrogenase Levels Versus Circulating Cell-Free microRNAs in Monitoring Responses to Checkpoint Inhibitor Immunotherapy in Metastatic Melanoma Patients. ''Cancers (Basel)''. 2020 Nov 13; '''12''' (11):
Epidemiological and immunological features of obesity and SARS-CoV-2. Description: Nilles, Eric J, et al. Epidemiological and immunological features of obesity and SARS-CoV-2. ''medRxiv''. 2020 Nov 13;
Inference and Prediction Diverge in Biomedicine. Description: Bzdok, Danilo, et al. Inference and Prediction Diverge in Biomedicine. ''Patterns (N Y)''. 2020 Nov 13; '''1''' (8):100119
The Flexibility of ACE2 in the Context of SARS-CoV-2 Infection. Description: Barros, Emilia P, et al. The Flexibility of ACE2 in the Context of SARS-CoV-2 Infection. ''Biophys J''. 2020 Nov 13;
Predicting Alzheimer's disease progression using deep recurrent neural networks. Description: Nguyen, Minh, et al. Predicting Alzheimer's disease progression using deep recurrent neural networks. ''Neuroimage''. 2020 Nov 15; '''222''': 117203
Rumor detection based on propagation graph neural network with attention mechanism. Description: Wu, Zhiyuan, et al. Rumor detection based on propagation graph neural network with attention mechanism. ''Expert Syst Appl''. 2020 Nov 15; '''158''': 113595
Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data. Description: Dziezyc, Maciej, et al. Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data. ''Sensors (Basel)''. 2020 Nov 16; '''20''' (22):
Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains. Description: Naik, Nikhil, et al. Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains. ''Nat Commun''. 2020 Nov 16; '''11''' (1):5727
Development of a machine learning algorithm to predict intubation among hospitalized patients with COVID-19. Description: Arvind, Varun, et al. Development of a machine learning algorithm to predict intubation among hospitalized patients with COVID-19. ''J Crit Care''. 2020 Nov 16; '''62''': 25-30
Identification of novel prognostic markers of survival time in high-risk neuroblastoma using gene expression profiles. Description: Giwa, Abdulazeez, et al. Identification of novel prognostic markers of survival time in high-risk neuroblastoma using gene expression profiles. ''Oncotarget''. 2020 Nov 17; '''11''' (46):4293-4305
Maturity Prediction in Yellow Peach (Prunus persica L.) Cultivars Using a Fluorescence Spectrometer. Description: Scalisi, Alessio, et al. Maturity Prediction in Yellow Peach (Prunus persica L.) Cultivars Using a Fluorescence Spectrometer. ''Sensors (Basel)''. 2020 Nov 17; '''20''' (22):
Data integration for prediction of weight loss in randomized controlled dietary trials. Description: Nielsen, Rikke Linnemann, et al. Data integration for prediction of weight loss in randomized controlled dietary trials. ''Sci Rep''. 2020 Nov 18; '''10''' (1):20103
Leveraging Uncertainty in Machine Learning Accelerates Biological Discovery and Design. Description: Hie, Brian, et al. Leveraging Uncertainty in Machine Learning Accelerates Biological Discovery and Design. ''Cell Syst''. 2020 Nov 18; '''11''' (5):461-477.e9
Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance. Description: Aono, Alexandre Hild, et al. Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance. ''Sci Rep''. 2020 Nov 18; '''10''' (1):20057
Complete Mapping of Mutations to the SARS-CoV-2 Spike Receptor-Binding Domain that Escape Antibody Recognition. Description: Greaney, Allison J, et al. Complete Mapping of Mutations to the SARS-CoV-2 Spike Receptor-Binding Domain that Escape Antibody Recognition. ''Cell Host Microbe''. 2020 Nov 19;
Face Memorization Using AIM Model for Mobile Robot and Its Application to Name Calling Function. Description: Mikawa, Masahiko, et al. Face Memorization Using AIM Model for Mobile Robot and Its Application to Name Calling Function. ''Sensors (Basel)''. 2020 Nov 19; '''20''' (22):
Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience. Description: Azari, Bahar, et al. Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience. ''Sci Rep''. 2020 Nov 20; '''10''' (1):20284
The amygdala instructs insular feedback for affective learning. Description: Kargl, Dominic, et al. The amygdala instructs insular feedback for affective learning. ''Elife''. 2020 Nov 20; '''9''':
Associations between gut microbiota, faecal short-chain fatty acids, and blood pressure across ethnic groups: the HELIUS study. Description: Verhaar, Barbara J H, et al. Associations between gut microbiota, faecal short-chain fatty acids, and blood pressure across ethnic groups: the HELIUS study. ''Eur Heart J''. 2020 Nov 21; '''41''' (44):4259-4267
A machine learning framework to determine geolocations from metagenomic profiling. Description: Huang, Lihong, et al. A machine learning framework to determine geolocations from metagenomic profiling. ''Biol Direct''. 2020 Nov 23; '''15''' (1):27
Analysis of Health Insurance Big Data for Early Detection of Disabilities: Algorithm Development and Validation. Description: Jeong, Seung-Hyun, et al. Analysis of Health Insurance Big Data for Early Detection of Disabilities: Algorithm Development and Validation. ''JMIR Med Inform''. 2020 Nov 23; '''8''' (11):e19679
An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images. Description: Sun, Fei, et al. An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images. ''Sensors (Basel)''. 2020 Nov 23; '''20''' (22):
Combined frequency-tagging EEG and eye-tracking measures provide no support for the "excess mouth/diminished eye attention" hypothesis in autism. Description: Vettori, Sofie, et al. Combined frequency-tagging EEG and eye-tracking measures provide no support for the "excess mouth/diminished eye attention" hypothesis in autism. ''Mol Autism''. 2020 Nov 23; '''11''' (1):94
Comparison of the Surface Thermal Patterns of Horses and Donkeys in Infrared Thermography Images. Description: Domino, Malgorzata, et al. Comparison of the Surface Thermal Patterns of Horses and Donkeys in Infrared Thermography Images. ''Animals (Basel)''. 2020 Nov 24; '''10''' (12):
High-throughput laboratory evolution reveals evolutionary constraints in Escherichia coli. Description: Maeda, Tomoya, et al. High-throughput laboratory evolution reveals evolutionary constraints in Escherichia coli. ''Nat Commun''. 2020 Nov 24; '''11''' (1):5970
Toward Developing Intuitive Rules for Protein Variant Effect Prediction Using Deep Mutational Scanning Data. Description: Sruthi, Cheloor Kovilakam, et al. Toward Developing Intuitive Rules for Protein Variant Effect Prediction Using Deep Mutational Scanning Data. ''ACS Omega''. 2020 Nov 24; '''5''' (46):29667-29677
Proteomic analysis of young and old mouse hematopoietic stem cells and their progenitors reveals post-transcriptional regulation in stem cells. Description: Zaro, Balyn W, et al. Proteomic analysis of young and old mouse hematopoietic stem cells and their progenitors reveals post-transcriptional regulation in stem cells. ''Elife''. 2020 Nov 25; '''9''':
Single-Cell Profiling of Ebola Virus Disease In Vivo Reveals Viral and Host Dynamics. Description: Kotliar, Dylan, et al. Single-Cell Profiling of Ebola Virus Disease In Vivo Reveals Viral and Host Dynamics. ''Cell''. 2020 Nov 25; '''183''' (5):1383-1401.e19
Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data. Description: Golovenkin, Sergey E, et al. Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data. ''Gigascience''. 2020 Nov 25; '''9''' (11):
Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery. Description: Qi, Bill, et al. Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery. ''Int J Neuropsychopharmacol''. 2020 Nov 26; '''23''' (8):505-510
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models. Description: Siramshetty, Vishal B, et al. Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models. ''Sci Rep''. 2020 Nov 26; '''10''' (1):20713
A Machine Learning Approach for the Automatic Estimation of Fixation-Time Data Signals' Quality. Description: Gabrieli, Giulio, et al. A Machine Learning Approach for the Automatic Estimation of Fixation-Time Data Signals' Quality. ''Sensors (Basel)''. 2020 Nov 27; '''20''' (23):
Analysis of Biological Screening Compounds with Single- or Multi-Target Activity via Diagnostic Machine Learning. Description: Feldmann, Christian, et al. Analysis of Biological Screening Compounds with Single- or Multi-Target Activity via Diagnostic Machine Learning. ''Biomolecules''. 2020 Nov 27; '''10''' (12):
Detection of Suicidality Among Opioid Users on Reddit: Machine Learning-Based Approach. Description: Yao, Hannah, et al. Detection of Suicidality Among Opioid Users on Reddit: Machine Learning-Based Approach. ''J Med Internet Res''. 2020 Nov 27; '''22''' (11):e15293
Frontal eye field and caudate neurons make different contributions to reward-biased perceptual decisions. Description: Fan, Yunshu, et al. Frontal eye field and caudate neurons make different contributions to reward-biased perceptual decisions. ''Elife''. 2020 Nov 27; '''9''':
Identification of Adverse Drug Event-Related Japanese Articles: Natural Language Processing Analysis. Description: Ujiie, Shogo, et al. Identification of Adverse Drug Event-Related Japanese Articles: Natural Language Processing Analysis. ''JMIR Med Inform''. 2020 Nov 27; '''8''' (11):e22661
Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity. Description: Shrock, Ellen, et al. Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity. ''Science''. 2020 Nov 27; '''370''' (6520):
A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification. Description: Le, Nguyen Quoc Khanh, et al. A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification. ''Int J Mol Sci''. 2020 Nov 28; '''21''' (23):
The Role of Features Types and Personalized Assessment in Detecting Affective State Using Dry Electrode EEG. Description: Pradhapan, Paruthi, et al. The Role of Features Types and Personalized Assessment in Detecting Affective State Using Dry Electrode EEG. ''Sensors (Basel)''. 2020 Nov 28; '''20''' (23):
Mindfulness, Interoception, and Olfaction: A Network Approach. Description: Lefranc, Barbara, et al. Mindfulness, Interoception, and Olfaction: A Network Approach. ''Brain Sci''. 2020 Nov 29; '''10''' (12):
3D printing tablets: Predicting printability and drug dissolution from rheological data. Description: Elbadawi, Moe, et al. 3D printing tablets: Predicting printability and drug dissolution from rheological data. ''Int J Pharm''. 2020 Nov 30; '''590''': 119868
A Machine Learning Approach to Model Interdependencies between Dynamic Response and Crack Propagation. Description: Fleet, Thomas, et al. A Machine Learning Approach to Model Interdependencies between Dynamic Response and Crack Propagation. ''Sensors (Basel)''. 2020 Nov 30; '''20''' (23):
Fractional ridge regression: a fast, interpretable reparameterization of ridge regression. Description: Rokem, Ariel, et al. Fractional ridge regression: a fast, interpretable reparameterization of ridge regression. ''Gigascience''. 2020 Nov 30; '''9''' (12):
Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study. Description: Maarseveen, Tjardo D, et al. Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study. ''JMIR Med Inform''. 2020 Nov 30; '''8''' (11):e23930
Prediction of the incubation period for COVID-19 and future virus disease outbreaks. Description: Gussow, Ayal B, et al. Prediction of the incubation period for COVID-19 and future virus disease outbreaks. ''BMC Biol''. 2020 Nov 30; '''18''' (1):186
TERT promoter alterations could provide a solution for Peto's paradox in rodents. Description: Vedelek, Balazs, et al. TERT promoter alterations could provide a solution for Peto's paradox in rodents. ''Sci Rep''. 2020 Nov 30; '''10''' (1):20815
AI-Driver: an ensemble method for identifying driver mutations in personal cancer genomes. Description: Wang, Haoxuan, et al. AI-Driver: an ensemble method for identifying driver mutations in personal cancer genomes. ''NAR Genom Bioinform''. 2020 Dec; '''2''' (4):lqaa084
Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning. Description: Huang, Sheng-Wen, et al. Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning. ''PLoS Negl Trop Dis''. 2020 Dec; '''14''' (12):e0008960
BMP signaling: at the gate between activated melanocyte stem cells and differentiation. Description: Infarinato, Nicole R, et al. BMP signaling: at the gate between activated melanocyte stem cells and differentiation. ''Genes Dev''. 2020 Dec 1; '''34''' (23-24):1713-1734
Calmodulin acts as a state-dependent switch to control a cardiac potassium channel opening. Description: Kang, Po Wei, et al. Calmodulin acts as a state-dependent switch to control a cardiac potassium channel opening. ''Sci Adv''. 2020 Dec; '''6''' (50):
Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment. Description: Navarini, Luca, et al. Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment. ''Rheumatol Ther''. 2020 Dec; '''7''' (4):867-882
Classification of Color-Coded Scheimpflug Camera Corneal Tomography Images Using Deep Learning. Description: Abdelmotaal, Hazem, et al. Classification of Color-Coded Scheimpflug Camera Corneal Tomography Images Using Deep Learning. ''Transl Vis Sci Technol''. 2020 Dec; '''9''' (13):30
Clinical Utility and Cost Savings in Predicting Inadequate Response to Anti-TNF Therapies in Rheumatoid Arthritis. Description: Bergman, Martin J, et al. Clinical Utility and Cost Savings in Predicting Inadequate Response to Anti-TNF Therapies in Rheumatoid Arthritis. ''Rheumatol Ther''. 2020 Dec; '''7''' (4):775-792
Combined Gaze Metrics as Stress-Sensitive Indicators of Microsurgical Proficiency. Description: Koskinen, Jani, et al. Combined Gaze Metrics as Stress-Sensitive Indicators of Microsurgical Proficiency. ''Surg Innov''. 2020 Dec; '''27''' (6):614-622
Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality. Description: Levitan, Anton, et al. Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality. ''Curr Genet''. 2020 Dec; '''66''' (6):1117-1134
Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features. Description: Bernatz, Simon, et al. Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features. ''Eur Radiol''. 2020 Dec; '''30''' (12):6757-6769
Correlating in vitro performance with physico-chemical characteristics of nanofibrous scaffolds for skin tissue engineering using supervised machine learning algorithms. Description: Sujeeun, Lakshmi Y, et al. Correlating in vitro performance with physico-chemical characteristics of nanofibrous scaffolds for skin tissue engineering using supervised machine learning algorithms. ''R Soc Open Sci''. 2020 Dec; '''7''' (12):201293
COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligence. Description: Dorr, Francisco, et al. COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligence. ''Intell Based Med''. 2020 Dec; '''3''': 100014
Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain. Description: Adeli, Ehsan, et al. Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain. ''Neuroimage''. 2020 Dec; '''223''': 117293
Dynamics of microbial populations and diversity in NAPL contaminated peat soil under varying water table conditions. Description: Gupta, Pankaj Kumar, et al. Dynamics of microbial populations and diversity in NAPL contaminated peat soil under varying water table conditions. ''Environ Res''. 2020 Dec; '''191''': 110167
Expansion of RiPP biosynthetic space through integration of pan-genomics and machine learning uncovers a novel class of lanthipeptides. Description: Kloosterman, Alexander M, et al. Expansion of RiPP biosynthetic space through integration of pan-genomics and machine learning uncovers a novel class of lanthipeptides. ''PLoS Biol''. 2020 Dec; '''18''' (12):e3001026
Fetal brain age estimation and anomaly detection using attention-based deep ensembles with uncertainty. Description: Shi, Wen, et al. Fetal brain age estimation and anomaly detection using attention-based deep ensembles with uncertainty. ''Neuroimage''. 2020 Dec; '''223''': 117316
High-precision multiclass cell classification by supervised machine learning on lectin microarray data. Description: Shibata, Mayu, et al. High-precision multiclass cell classification by supervised machine learning on lectin microarray data. ''Regen Ther''. 2020 Dec; '''15''': 195-201
High-throughput search for magnetic and topological order in transition metal oxides. Description: Frey, Nathan C, et al. High-throughput search for magnetic and topological order in transition metal oxides. ''Sci Adv''. 2020 Dec; '''6''' (50):
Hippocampal adult-born granule cells drive network activity in a mouse model of chronic temporal lobe epilepsy. Description: Sparks, F T, et al. Hippocampal adult-born granule cells drive network activity in a mouse model of chronic temporal lobe epilepsy. ''Nat Commun''. 2020 Dec 1; '''11''' (1):6138
Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method. Description: Lum, Peter S, et al. Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method. ''Neurorehabil Neural Repair''. 2020 Dec; '''34''' (12):1078-1087
Machine learning identifies girls with central precocious puberty based on multisource data. Description: Pan, Liyan, et al. Machine learning identifies girls with central precocious puberty based on multisource data. ''JAMIA Open''. 2020 Dec; '''3''' (4):567-575
Machine learning predicts live-birth occurrence before in-vitro fertilization treatment. Description: Goyal, Ashish, et al. Machine learning predicts live-birth occurrence before in-vitro fertilization treatment. ''Sci Rep''. 2020 Dec 1; '''10''' (1):20925
Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders. Description: Ahmadi, Seyed-Ahmad, et al. Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders. ''J Neurol''. 2020 Dec; '''267''' (Suppl 1):143-152
NonClasGP-Pred: robust and efficient prediction of non-classically secreted proteins by integrating subset-specific optimal models of imbalanced data. Description: Wang, Chao, et al. NonClasGP-Pred: robust and efficient prediction of non-classically secreted proteins by integrating subset-specific optimal models of imbalanced data. ''Microb Genom''. 2020 Dec; '''6''' (12):
Noninvasive characterization of Alzheimer's disease by circulating, cell-free messenger RNA next-generation sequencing. Description: Toden, Shusuke, et al. Noninvasive characterization of Alzheimer's disease by circulating, cell-free messenger RNA next-generation sequencing. ''Sci Adv''. 2020 Dec; '''6''' (50):
Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning. Description: Ning, Wanshan, et al. Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning. ''Nat Biomed Eng''. 2020 Dec; '''4''' (12):1197-1207
Optimisation of deep neural networks for identification of epileptic abnormalities from electroencephalogram signals. Description: Kurdthongmee, Wattanapong. Optimisation of deep neural networks for identification of epileptic abnormalities from electroencephalogram signals. ''Heliyon''. 2020 Dec; '''6''' (12):e05694
Potential of gut microbiome for detection of autism spectrum disorder. Description: Wu, Tong, et al. Potential of gut microbiome for detection of autism spectrum disorder. ''Microb Pathog''. 2020 Dec; '''149''': 104568
Predicting Postherpetic Neuralgia in Patients with Herpes Zoster by Machine Learning: A Retrospective Study. Description: Wang, Xin-Xing, et al. Predicting Postherpetic Neuralgia in Patients with Herpes Zoster by Machine Learning: A Retrospective Study. ''Pain Ther''. 2020 Dec; '''9''' (2):627-635
Predicting the need for intubation in the first 24 h after critical care admission using machine learning approaches. Description: Siu, Benjamin Ming Kit, et al. Predicting the need for intubation in the first 24 h after critical care admission using machine learning approaches. ''Sci Rep''. 2020 Dec 1; '''10''' (1):20931
Predicting unrecognized enhancer-mediated genome topology by an ensemble machine learning model. Description: Tang, Li, et al. Predicting unrecognized enhancer-mediated genome topology by an ensemble machine learning model. ''Genome Res''. 2020 Dec; '''30''' (12):1835-1845
Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI. Description: Cuocolo, Renato, et al. Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI. ''Neuroradiology''. 2020 Dec; '''62''' (12):1649-1656
Prenatal food insecurity post Hurricane Maria is associated with decreased Veillonella in the infant gut. Description: Wang, Leyao, et al. Prenatal food insecurity post Hurricane Maria is associated with decreased Veillonella in the infant gut. ''Pediatr Res''. 2020 Dec; '''88''' (6):917-924
Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins. Description: Kyritsis, Konstantinos A, et al. Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins. ''NAR Genom Bioinform''. 2020 Dec; '''2''' (4):lqaa088
Single-molecule and in silico dissection of the interaction between Polycomb repressive complex 2 and chromatin. Description: Leicher, Rachel, et al. Single-molecule and in silico dissection of the interaction between Polycomb repressive complex 2 and chromatin. ''Proc Natl Acad Sci U S A''. 2020 Dec 1; '''117''' (48):30465-30475
The gut microbiota is associated with immune cell dynamics in humans. Description: Schluter, Jonas, et al. The gut microbiota is associated with immune cell dynamics in humans. ''Nature''. 2020 Dec; '''588''' (7837):303-307
Transfer learning with chest X-rays for ER patient classification. Description: Stubblefield, Jonathan, et al. Transfer learning with chest X-rays for ER patient classification. ''Sci Rep''. 2020 Dec 1; '''10''' (1):20900
Two subsets of stem-like CD8(+) memory T cell progenitors with distinct fate commitments in humans. Description: Galletti, Giovanni, et al. Two subsets of stem-like CD8(+) memory T cell progenitors with distinct fate commitments in humans. ''Nat Immunol''. 2020 Dec; '''21''' (12):1552-1562
Using machine learning tools to predict outcomes for emergency department intensive care unit patients. Description: Zhai, Qiangrong, et al. Using machine learning tools to predict outcomes for emergency department intensive care unit patients. ''Sci Rep''. 2020 Dec 1; '''10''' (1):20919
Utilizing Machine Learning Methods for Preoperative Prediction of Postsurgical Mortality and Intensive Care Unit Admission. Description: Chiew, Calvin J, et al. Utilizing Machine Learning Methods for Preoperative Prediction of Postsurgical Mortality and Intensive Care Unit Admission. ''Ann Surg''. 2020 Dec; '''272''' (6):1133-1139
Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study. Description: Plante, Timothy B, et al. Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study. ''J Med Internet Res''. 2020 Dec 2; '''22''' (12):e24048
Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations. Description: Grujic, Olivera, et al. Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations. ''Nat Commun''. 2020 Dec 2; '''11''' (1):6168
Variation in model performance by data cleanliness and classification methods in the prediction of 30-day ICU mortality, a US nationwide retrospective cohort and simulation study. Description: Iwashyna, Theodore J, et al. Variation in model performance by data cleanliness and classification methods in the prediction of 30-day ICU mortality, a US nationwide retrospective cohort and simulation study. ''BMJ Open''. 2020 Dec 2; '''10''' (12):e041421
Androgen Signaling Regulates SARS-CoV-2 Receptor Levels and Is Associated with Severe COVID-19 Symptoms in Men. Description: Samuel, Ryan M, et al. Androgen Signaling Regulates SARS-CoV-2 Receptor Levels and Is Associated with Severe COVID-19 Symptoms in Men. ''Cell Stem Cell''. 2020 Dec 3; '''27''' (6):876-889.e12
Colombian Contributions Fighting Leishmaniasis: A Systematic Review on Antileishmanials Combined with Chemoinformatics Analysis. Description: Sanchez-Suarez, Jeysson, et al. Colombian Contributions Fighting Leishmaniasis: A Systematic Review on Antileishmanials Combined with Chemoinformatics Analysis. ''Molecules''. 2020 Dec 3; '''25''' (23):
Comprehensive Statistical Evaluation of Etest((R)), UMIC((R)), MicroScan and Disc Diffusion versus Standard Broth Microdilution: Workflow for an Accurate Detection of Colistin-Resistant and Mcr-Positive E. coli. Description: Garcia-Menino, Isidro, et al. Comprehensive Statistical Evaluation of Etest((R)), UMIC((R)), MicroScan and Disc Diffusion versus Standard Broth Microdilution: Workflow for an Accurate Detection of Colistin-Resistant and Mcr-Positive E. coli. ''Antibiotics (Basel)''. 2020 Dec 3; '''9''' (12):
Proton pump inhibitors and the risk of Alzheimer's disease and non-Alzheimer's dementias. Description: Torres-Bondia, Francisco, et al. Proton pump inhibitors and the risk of Alzheimer's disease and non-Alzheimer's dementias. ''Sci Rep''. 2020 Dec 3; '''10''' (1):21046
Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis. Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients. Description: Papa, Rosanna, et al. Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis. Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients. ''Int J Mol Sci''. 2020 Dec 4; '''21''' (23):
Saturation transfer properties of tumour xenografts derived from prostate cancer cell lines 22Rv1 and DU145. Description: Tan, Ziyu, et al. Saturation transfer properties of tumour xenografts derived from prostate cancer cell lines 22Rv1 and DU145. ''Sci Rep''. 2020 Dec 4; '''10''' (1):21315
Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance. Description: Martini, Nicola, et al. Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance. ''J Cardiovasc Magn Reson''. 2020 Dec 7; '''22''' (1):84
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The cingulum in very preterm infants relates to language and social-emotional impairment at 2 years of term-equivalent age. Description: Lee, Hyun Ju, et al. The cingulum in very preterm infants relates to language and social-emotional impairment at 2 years of term-equivalent age. ''Neuroimage Clin''. 2020 Dec 8; '''29''': 102528
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Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice. Description: Geiller, Tristan, et al. Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice. ''Neuron''. 2020 Dec 9; '''108''' (5):968-983.e9
Comparison of Soil Total Nitrogen Content Prediction Models Based on Vis-NIR Spectroscopy. Description: Wang, Yueting, et al. Comparison of Soil Total Nitrogen Content Prediction Models Based on Vis-NIR Spectroscopy. ''Sensors (Basel)''. 2020 Dec 10; '''20''' (24):
Identification of Cis-Regulatory Sequences Controlling Pollen-Specific Expression of Hydroxyproline-Rich Glycoprotein Genes in Arabidopsis thaliana. Description: Li, Yichao, et al. Identification of Cis-Regulatory Sequences Controlling Pollen-Specific Expression of Hydroxyproline-Rich Glycoprotein Genes in Arabidopsis thaliana. ''Plants (Basel)''. 2020 Dec 10; '''9''' (12):
Purple-leaf tea (Camellia sinensis L.) ameliorates high-fat diet induced obesity and metabolic disorder through the modulation of the gut microbiota in mice. Description: Lin, Yu-Chun, et al. Purple-leaf tea (Camellia sinensis L.) ameliorates high-fat diet induced obesity and metabolic disorder through the modulation of the gut microbiota in mice. ''BMC Complement Med Ther''. 2020 Dec 10; '''20''' (1):376
Quick COVID-19 Healers Sustain Anti-SARS-CoV-2 Antibody Production. Description: Chen, Yuezhou, et al. Quick COVID-19 Healers Sustain Anti-SARS-CoV-2 Antibody Production. ''Cell''. 2020 Dec 10; '''183''' (6):1496-1507.e16
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Establishment of an Immunocompetent Metastasis Rat Model with Hepatocyte Cancer Stem Cells. Description: Wu, Semon, et al. Establishment of an Immunocompetent Metastasis Rat Model with Hepatocyte Cancer Stem Cells. ''Cancers (Basel)''. 2020 Dec 11; '''12''' (12):
Plasma cytokines for predicting diabetic retinopathy among type 2 diabetic patients via machine learning algorithms. Description: Cao, Bin, et al. Plasma cytokines for predicting diabetic retinopathy among type 2 diabetic patients via machine learning algorithms. ''Aging (Albany NY)''. 2020 Dec 11; '''13''' (2):1972-1988
What are the Critical Elements of Satisfaction and Experience in Labor and Childbirth-A Cross-Sectional Study. Description: Baranowska, Barbara, et al. What are the Critical Elements of Satisfaction and Experience in Labor and Childbirth-A Cross-Sectional Study. ''Int J Environ Res Public Health''. 2020 Dec 12; '''17''' (24):
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A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic Data. Description: Valle, Filippo, et al. A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic Data. ''Cancers (Basel)''. 2020 Dec 16; '''12''' (12):
Developmental differences in genome replication program and origin activation. Description: Rausch, Cathia, et al. Developmental differences in genome replication program and origin activation. ''Nucleic Acids Res''. 2020 Dec 16; '''48''' (22):12751-12777
Graph embeddings on gene ontology annotations for protein-protein interaction prediction. Description: Zhong, Xiaoshi, et al. Graph embeddings on gene ontology annotations for protein-protein interaction prediction. ''BMC Bioinformatics''. 2020 Dec 16; '''21''' (Suppl 16):560
Scalable Empirical Mixture Models That Account for Across-Site Compositional Heterogeneity. Description: Schrempf, Dominik, et al. Scalable Empirical Mixture Models That Account for Across-Site Compositional Heterogeneity. ''Mol Biol Evol''. 2020 Dec 16; '''37''' (12):3616-3631
Aortic Gene Expression Profiles Show How ApoA-I Levels Modulate Inflammation, Lysosomal Activity, and Sphingolipid Metabolism in Murine Atherosclerosis. Description: Busnelli, Marco, et al. Aortic Gene Expression Profiles Show How ApoA-I Levels Modulate Inflammation, Lysosomal Activity, and Sphingolipid Metabolism in Murine Atherosclerosis. ''Arterioscler Thromb Vasc Biol''. 2020 Dec 17; ATVBAHA120315669
Genomic RNA Elements Drive Phase Separation of the SARS-CoV-2 Nucleocapsid. Description: Iserman, Christiane, et al. Genomic RNA Elements Drive Phase Separation of the SARS-CoV-2 Nucleocapsid. ''Mol Cell''. 2020 Dec 17; '''80''' (6):1078-1091.e6
Predicting Long non-coding RNAs through feature ensemble learning. Description: Xu, Yanzhen, et al. Predicting Long non-coding RNAs through feature ensemble learning. ''BMC Genomics''. 2020 Dec 17; '''21''' (Suppl 13):865
Assessment of skin barrier function using skin images with topological data analysis. Description: Koseki, Keita, et al. Assessment of skin barrier function using skin images with topological data analysis. ''NPJ Syst Biol Appl''. 2020 Dec 18; '''6''' (1):40
Deep Learning Prediction of Cancer Prevalence from Satellite Imagery. Description: Bibault, Jean-Emmanuel, et al. Deep Learning Prediction of Cancer Prevalence from Satellite Imagery. ''Cancers (Basel)''. 2020 Dec 19; '''12''' (12):
A Confidence Habitats Methodology in MR Quantitative Diffusion for the Classification of Neuroblastic Tumors. Description: Cerda Alberich, Leonor, et al. A Confidence Habitats Methodology in MR Quantitative Diffusion for the Classification of Neuroblastic Tumors. ''Cancers (Basel)''. 2020 Dec 21; '''12''' (12):
Analyzing the vast coronavirus literature with CoronaCentral. Description: Lever, Jake, et al. Analyzing the vast coronavirus literature with CoronaCentral. ''bioRxiv''. 2020 Dec 22;
Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies. Description: Xue, Peng, et al. Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies. ''BMC Med''. 2020 Dec 22; '''18''' (1):406
IDRMutPred: predicting disease-associated germline nonsynonymous single nucleotide variants (nsSNVs) in intrinsically disordered regions. Description: Zhou, Jing-Bo, et al. IDRMutPred: predicting disease-associated germline nonsynonymous single nucleotide variants (nsSNVs) in intrinsically disordered regions. ''Bioinformatics''. 2020 Dec 22; '''36''' (20):4977-4983
Modulation of Immune Checkpoints by Chemotherapy in Human Colorectal Liver Metastases. Description: Jabbari, Neda, et al. Modulation of Immune Checkpoints by Chemotherapy in Human Colorectal Liver Metastases. ''Cell Rep Med''. 2020 Dec 22; '''1''' (9):100160
An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model. Description: Ko, Hoon, et al. An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model. ''J Med Internet Res''. 2020 Dec 23; '''22''' (12):e25442
Anomaly Identification during Polymerase Chain Reaction for Detecting SARS-CoV-2 Using Artificial Intelligence Trained from Simulated Data. Description: Villarreal-Gonzalez, Reynaldo, et al. Anomaly Identification during Polymerase Chain Reaction for Detecting SARS-CoV-2 Using Artificial Intelligence Trained from Simulated Data. ''Molecules''. 2020 Dec 23; '''26''' (1):
Dopamine Oppositely Modulates State Transitions in Striosome and Matrix Direct Pathway Striatal Spiny Neurons. Description: Prager, Eric M, et al. Dopamine Oppositely Modulates State Transitions in Striosome and Matrix Direct Pathway Striatal Spiny Neurons. ''Neuron''. 2020 Dec 23; '''108''' (6):1091-1102.e5
Transporter genes in biosynthetic gene clusters predict metabolite characteristics and siderophore activity. Description: Crits-Christoph, Alexander, et al. Transporter genes in biosynthetic gene clusters predict metabolite characteristics and siderophore activity. ''Genome Res''. 2020 Dec 23;
Canonical goal-selective representations are absent from prefrontal cortex in a spatial working memory task requiring behavioral flexibility. Description: Bohm, Claudia, et al. Canonical goal-selective representations are absent from prefrontal cortex in a spatial working memory task requiring behavioral flexibility. ''Elife''. 2020 Dec 24; '''9''':
Risk prediction and marker selection in nonsynonymous single nucleotide polymorphisms using whole genome sequencing data. Description: Lee, Young-Sup, et al. Risk prediction and marker selection in nonsynonymous single nucleotide polymorphisms using whole genome sequencing data. ''Anim Cells Syst (Seoul)''. 2020 Dec 24; '''24''' (6):321-328
Lactobacillus iners and gasseri, Prevotella bivia and HPV Belong to the Microbiological Signature Negatively Affecting Human Reproduction. Description: Campisciano, Giuseppina, et al. Lactobacillus iners and gasseri, Prevotella bivia and HPV Belong to the Microbiological Signature Negatively Affecting Human Reproduction. ''Microorganisms''. 2020 Dec 25; '''9''' (1):
Hybrid E/M Phenotype(s) and Stemness: A Mechanistic Connection Embedded in Network Topology. Description: Pasani, Satwik, et al. Hybrid E/M Phenotype(s) and Stemness: A Mechanistic Connection Embedded in Network Topology. ''J Clin Med''. 2020 Dec 26; '''10''' (1):
Identification of Sub-Golgi protein localization by use of deep representation learning features. Description: Lv, Zhibin, et al. Identification of Sub-Golgi protein localization by use of deep representation learning features. ''Bioinformatics''. 2020 Dec 26;
Emerging SARS-CoV-2 diversity revealed by rapid whole genome sequence typing. Description: Moustafa, Ahmed M, et al. Emerging SARS-CoV-2 diversity revealed by rapid whole genome sequence typing. ''bioRxiv''. 2020 Dec 28;
Combined Use of Vis-NIR and XRF Sensors for Tropical Soil Fertility Analysis: Assessing Different Data Fusion Approaches. Description: Tavares, Tiago Rodrigues, et al. Combined Use of Vis-NIR and XRF Sensors for Tropical Soil Fertility Analysis: Assessing Different Data Fusion Approaches. ''Sensors (Basel)''. 2020 Dec 29; '''21''' (1):
Determination of Body Parts in Holstein Friesian Cows Comparing Neural Networks and k Nearest Neighbour Classification. Description: Salau, Jennifer, et al. Determination of Body Parts in Holstein Friesian Cows Comparing Neural Networks and k Nearest Neighbour Classification. ''Animals (Basel)''. 2020 Dec 29; '''11''' (1):
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Evolution of drug resistance in HIV protease. Description: Shah, Dhara, et al. Evolution of drug resistance in HIV protease. ''BMC Bioinformatics''. 2020 Dec 30; '''21''' (Suppl 18):497
Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes. Description: Ye, Jiancheng, et al. Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes. ''BMC Med Inform Decis Mak''. 2020 Dec 30; '''20''' (Suppl 11):295
Paperboard Coating Detection Based on Full-Stokes Imaging Polarimetry. Description: Bruges Martelo, Javier, et al. Paperboard Coating Detection Based on Full-Stokes Imaging Polarimetry. ''Sensors (Basel)''. 2020 Dec 31; '''21''' (1):
Spike-triggered Clustering for Retinal Ganglion Cell Classification. Description: Ahn, Jungryul, et al. Spike-triggered Clustering for Retinal Ganglion Cell Classification. ''Exp Neurobiol''. 2020 Dec 31; '''29''' (6):433-452
(18)F-FDG PET/CT Radiomics for Preoperative Prediction of Lymph Node Metastases and Nodal Staging in Gastric Cancer. Description: Liu, Qiufang, et al. (18)F-FDG PET/CT Radiomics for Preoperative Prediction of Lymph Node Metastases and Nodal Staging in Gastric Cancer. ''Front Oncol''. 2021; '''11''': 723345
A Benchmark for Data Imputation Methods. Description: Jager, Sebastian, et al. A Benchmark for Data Imputation Methods. ''Front Big Data''. 2021; '''4''': 693674
Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography. Description: Nagasawa, Toshihiko, et al. Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography. ''J Ophthalmol''. 2021; '''2021''': 6651175
Accurate diagnosis of prostate cancer using logistic regression. Description: Hooshmand, Arash. Accurate diagnosis of prostate cancer using logistic regression. ''Open Med (Wars)''. 2021; '''16''' (1):459-463
A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer's Disease. Description: Bari Antor, Morshedul, et al. A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer's Disease. ''J Healthc Eng''. 2021; '''2021''': 9917919
A Comparative Study of Educational Texts for Native, Foreign, and Bilingual Young Speakers of Russian: Are Simplified Texts Equally Simple? Description: Dmitrieva, Anna, et al. A Comparative Study of Educational Texts for Native, Foreign, and Bilingual Young Speakers of Russian: Are Simplified Texts Equally Simple? ''Front Psychol''. 2021; '''12''': 703690
A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis. Description: van Doorn, William P T M, et al. A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis. ''PLoS One''. 2021; '''16''' (1):e0245157
A Comparison of Nine Machine Learning Mutagenicity Models and Their Application for Predicting Pyrrolizidine Alkaloids. Description: Helma, Christoph, et al. A Comparison of Nine Machine Learning Mutagenicity Models and Their Application for Predicting Pyrrolizidine Alkaloids. ''Front Pharmacol''. 2021; '''12''': 708050
A Comprehensive Analysis Identified Hub Genes and Associated Drugs in Alzheimer's Disease. Description: Jing, Qi, et al. A Comprehensive Analysis Identified Hub Genes and Associated Drugs in Alzheimer's Disease. ''Biomed Res Int''. 2021; '''2021''': 8893553
Active probing to highlight approaching transitions to ictal states in coupled neural mass models. Description: Carvalho, Vinicius Rezende, et al. Active probing to highlight approaching transitions to ictal states in coupled neural mass models. ''PLoS Comput Biol''. 2021 Jan; '''17''' (1):e1008377
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A data value metric for quantifying information content and utility. Description: Noshad, Morteza, et al. A data value metric for quantifying information content and utility. ''J Big Data''. 2021; '''8''' (1):82
A Deep Learning Based Framework for Diagnosing Multiple Skin Diseases in a Clinical Environment. Description: Zhu, Chen-Yu, et al. A Deep Learning Based Framework for Diagnosing Multiple Skin Diseases in a Clinical Environment. ''Front Med (Lausanne)''. 2021; '''8''': 626369
A Deep-Learning Model With the Attention Mechanism Could Rigorously Predict Survivals in Neuroblastoma. Description: Feng, Chenzhao, et al. A Deep-Learning Model With the Attention Mechanism Could Rigorously Predict Survivals in Neuroblastoma. ''Front Oncol''. 2021; '''11''': 653863
A Detector for Premature Atrial and Ventricular Complexes. Description: Garcia-Isla, Guadalupe, et al. A Detector for Premature Atrial and Ventricular Complexes. ''Front Physiol''. 2021; '''12''': 678558
Advanced Analysis of Diffusion Tensor Imaging Along With Machine Learning Provides New Sensitive Measures of Tissue Pathology and Intra-Lesion Activity in Multiple Sclerosis. Description: Oladosu, Olayinka, et al. Advanced Analysis of Diffusion Tensor Imaging Along With Machine Learning Provides New Sensitive Measures of Tissue Pathology and Intra-Lesion Activity in Multiple Sclerosis. ''Front Neurosci''. 2021; '''15''': 634063
Aggregate Trends of Apolipoprotein E on Cognition in Transgenic Alzheimer's Disease Mice. Description: Watson, Yassin, et al. Aggregate Trends of Apolipoprotein E on Cognition in Transgenic Alzheimer's Disease Mice. ''J Alzheimers Dis''. 2021; '''83''' (1):435-450
AI-Based Estimation of End-Systolic Elastance From Arm-Pressure and Systolic Time Intervals. Description: Bikia, Vasiliki, et al. AI-Based Estimation of End-Systolic Elastance From Arm-Pressure and Systolic Time Intervals. ''Front Artif Intell''. 2021; '''4''': 579541
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A Machine Learning Approach to Investigate the Uncertainty of Tissue-Level Injury Metrics for Cerebral Contusion. Description: Menichetti, Andrea, et al. A Machine Learning Approach to Investigate the Uncertainty of Tissue-Level Injury Metrics for Cerebral Contusion. ''Front Bioeng Biotechnol''. 2021; '''9''': 714128
A machine learning model of microscopic agglutination test for diagnosis of leptospirosis. Description: Oyamada, Yuji, et al. A machine learning model of microscopic agglutination test for diagnosis of leptospirosis. ''PLoS One''. 2021; '''16''' (11):e0259907
A Machine Learning Model to Predict Intravenous Immunoglobulin-Resistant Kawasaki Disease Patients: A Retrospective Study Based on the Chongqing Population. Description: Liu, Jie, et al. A Machine Learning Model to Predict Intravenous Immunoglobulin-Resistant Kawasaki Disease Patients: A Retrospective Study Based on the Chongqing Population. ''Front Pediatr''. 2021; '''9''': 756095
Analysis of EPID Transmission Fluence Maps Using Machine Learning Models and CNN for Identifying Position Errors in the Treatment of GO Patients. Description: Dai, Guyu, et al. Analysis of EPID Transmission Fluence Maps Using Machine Learning Models and CNN for Identifying Position Errors in the Treatment of GO Patients. ''Front Oncol''. 2021; '''11''': 721591
Analysis of Gut Microbiome Using Explainable Machine Learning Predicts Risk of Diarrhea Associated With Tyrosine Kinase Inhibitor Neratinib: A Pilot Study. Description: Wong, Chi Wah, et al. Analysis of Gut Microbiome Using Explainable Machine Learning Predicts Risk of Diarrhea Associated With Tyrosine Kinase Inhibitor Neratinib: A Pilot Study. ''Front Oncol''. 2021; '''11''': 604584
An architecture for non-linear discovery of aggregated multimedia document web search results. Description: Khan, Abdur Rehman, et al. An architecture for non-linear discovery of aggregated multimedia document web search results. ''PeerJ Comput Sci''. 2021; '''7''': e449
An automated approach to identify scientific publications reporting pharmacokinetic parameters. Description: Gonzalez Hernandez, Ferran, et al. An automated approach to identify scientific publications reporting pharmacokinetic parameters. ''Wellcome Open Res''. 2021; '''6''': 88
An epidemic model for non-first-order transmission kinetics. Description: Mun, Eun-Young, et al. An epidemic model for non-first-order transmission kinetics. ''PLoS One''. 2021; '''16''' (3):e0247512
An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates. Description: Mc Cartney, Ann M, et al. An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates. ''F1000Res''. 2021; '''10''': 246
An Opinion Facilitator for Online News Media. Description: Willaert, Tom, et al. An Opinion Facilitator for Online News Media. ''Front Big Data''. 2021; '''4''': 695667
A Novel Biomarker Identification Approach for Gastric Cancer Using Gene Expression and DNA Methylation Dataset. Description: Zhang, Ge, et al. A Novel Biomarker Identification Approach for Gastric Cancer Using Gene Expression and DNA Methylation Dataset. ''Front Genet''. 2021; '''12''': 644378
A Novel Dual Antibody Staining Assay to Measure Estrogen Receptor Transcriptional Activity. Description: van Hemert, Freek, et al. A Novel Dual Antibody Staining Assay to Measure Estrogen Receptor Transcriptional Activity. ''J Fluoresc''. 2021 Jan; '''31''' (1):219-227
A Novel sEMG-Based Gait Phase-Kinematics-Coupled Predictor and Its Interaction With Exoskeletons. Description: Wei, Baichun, et al. A Novel sEMG-Based Gait Phase-Kinematics-Coupled Predictor and Its Interaction With Exoskeletons. ''Front Neurorobot''. 2021; '''15''': 704226
A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection. Description: Verma, Nishant, et al. A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection. ''IEEE J Transl Eng Health Med''. 2021; '''9''': 2700407
Aortography Keypoint Tracking for Transcatheter Aortic Valve Implantation Based on Multi-Task Learning. Description: Danilov, Viacheslav V, et al. Aortography Keypoint Tracking for Transcatheter Aortic Valve Implantation Based on Multi-Task Learning. ''Front Cardiovasc Med''. 2021; '''8''': 697737
A panel of selected serum protein biomarkers for the detection of aggressive prostate cancer. Description: Song, Jin, et al. A panel of selected serum protein biomarkers for the detection of aggressive prostate cancer. ''Theranostics''. 2021; '''11''' (13):6214-6224
A patient-centered digital scribe for automatic medical documentation. Description: Wang, Jesse, et al. A patient-centered digital scribe for automatic medical documentation. ''JAMIA Open''. 2021 Jan; '''4''' (1):ooab003
Application of Artificial Intelligence Modeling Technology Based on Multi-Omics in Noninvasive Diagnosis of Inflammatory Bowel Disease. Description: Huang, Qiongrong, et al. Application of Artificial Intelligence Modeling Technology Based on Multi-Omics in Noninvasive Diagnosis of Inflammatory Bowel Disease. ''J Inflamm Res''. 2021; '''14''': 1933-1943
Application of a time-series deep learning model to predict cardiac dysrhythmias in electronic health records. Description: Guo, Aixia, et al. Application of a time-series deep learning model to predict cardiac dysrhythmias in electronic health records. ''PLoS One''. 2021; '''16''' (9):e0239007
Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations. Description: MacKay, Emily J, et al. Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations. ''PLoS One''. 2021; '''16''' (6):e0252585
Application of Machine Learning Techniques to Predict Bone Metastasis in Patients with Prostate Cancer. Description: Liu, Wen-Cai, et al. Application of Machine Learning Techniques to Predict Bone Metastasis in Patients with Prostate Cancer. ''Cancer Manag Res''. 2021; '''13''': 8723-8736
Applications of Machine Learning to Predict Cisplatin Resistance in Lung Cancer. Description: Gao, Yanan, et al. Applications of Machine Learning to Predict Cisplatin Resistance in Lung Cancer. ''Int J Gen Med''. 2021; '''14''': 5911-5925
A Recurrent Neural Network for Attenuating Non-cognitive Components of Pupil Dynamics. Description: Koorathota, Sharath, et al. A Recurrent Neural Network for Attenuating Non-cognitive Components of Pupil Dynamics. ''Front Psychol''. 2021; '''12''': 604522
Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligence. Description: Sonoda, Shozo, et al. Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligence. ''PLoS One''. 2021; '''16''' (5):e0251553
Association between meteorological factors and the prevalence dynamics of Japanese encephalitis. Description: Tu, Taotian, et al. Association between meteorological factors and the prevalence dynamics of Japanese encephalitis. ''PLoS One''. 2021; '''16''' (3):e0247980
Associations of ultrasound-based inflammation patterns with peripheral innate lymphoid cell populations, serum cytokines/chemokines, and treatment response to methotrexate in rheumatoid arthritis and spondyloarthritis. Description: Kato, Manami, et al. Associations of ultrasound-based inflammation patterns with peripheral innate lymphoid cell populations, serum cytokines/chemokines, and treatment response to methotrexate in rheumatoid arthritis and spondyloarthritis. ''PLoS One''. 2021; '''16''' (5):e0252116
A Systematic Approach for MRI Brain Tumor Localization and Segmentation Using Deep Learning and Active Contouring. Description: Gunasekara, Shanaka Ramesh, et al. A Systematic Approach for MRI Brain Tumor Localization and Segmentation Using Deep Learning and Active Contouring. ''J Healthc Eng''. 2021; '''2021''': 6695108
A Tale of Two Cities: COVID-19 and the Emotional Well-Being of Student-Athletes Using Natural Language Processing. Description: Floyd, Carter, et al. A Tale of Two Cities: COVID-19 and the Emotional Well-Being of Student-Athletes Using Natural Language Processing. ''Front Sports Act Living''. 2021; '''3''': 710289
AUCseg: An Automatically Unsupervised Clustering Toolbox for 3D-Segmentation of High-Grade Gliomas in Multi-Parametric MR Images. Description: Zhao, Botao, et al. AUCseg: An Automatically Unsupervised Clustering Toolbox for 3D-Segmentation of High-Grade Gliomas in Multi-Parametric MR Images. ''Front Oncol''. 2021; '''11''': 679952
A unified catalog of 204,938 reference genomes from the human gut microbiome. Description: Almeida, Alexandre, et al. A unified catalog of 204,938 reference genomes from the human gut microbiome. ''Nat Biotechnol''. 2021 Jan; '''39''' (1):105-114
Automated Localization of Focal Ventricular Tachycardia From Simulated Implanted Device Electrograms: A Combined Physics-AI Approach. Description: Monaci, Sofia, et al. Automated Localization of Focal Ventricular Tachycardia From Simulated Implanted Device Electrograms: A Combined Physics-AI Approach. ''Front Physiol''. 2021; '''12''': 682446
Automatic classification of mice vocalizations using Machine Learning techniques and Convolutional Neural Networks. Description: Premoli, Marika, et al. Automatic classification of mice vocalizations using Machine Learning techniques and Convolutional Neural Networks. ''PLoS One''. 2021; '''16''' (1):e0244636
Automatic Subtyping of Individuals with Primary Progressive Aphasia. Description: Themistocleous, Charalambos, et al. Automatic Subtyping of Individuals with Primary Progressive Aphasia. ''J Alzheimers Dis''. 2021; '''79''' (3):1185-1194
BACPHLIP: predicting bacteriophage lifestyle from conserved protein domains. Description: Hockenberry, Adam J, et al. BACPHLIP: predicting bacteriophage lifestyle from conserved protein domains. ''PeerJ''. 2021; '''9''': e11396
Bandgap prediction of two-dimensional materials using machine learning. Description: Zhang, Yu, et al. Bandgap prediction of two-dimensional materials using machine learning. ''PLoS One''. 2021; '''16''' (8):e0255637
Baseline Power of Theta Oscillations Predicts Mystical-Type Experiences Induced by DMT in a Natural Setting. Description: Tagliazucchi, Enzo, et al. Baseline Power of Theta Oscillations Predicts Mystical-Type Experiences Induced by DMT in a Natural Setting. ''Front Psychiatry''. 2021; '''12''': 720066
Beating Naive Bayes at Taxonomic Classification of 16S rRNA Gene Sequences. Description: Ziemski, Michal, et al. Beating Naive Bayes at Taxonomic Classification of 16S rRNA Gene Sequences. ''Front Microbiol''. 2021; '''12''': 644487
Beta and Theta Oscillations Correlate With Subjective Time During Musical Improvisation in Ecological and Controlled Settings: A Single Subject Study. Description: Farrugia, Nicolas, et al. Beta and Theta Oscillations Correlate With Subjective Time During Musical Improvisation in Ecological and Controlled Settings: A Single Subject Study. ''Front Neurosci''. 2021; '''15''': 626723
Bidirectional Interactions With Humpback Whale Singer Using Concrete Sound Elements. Description: Penitot, Aline, et al. Bidirectional Interactions With Humpback Whale Singer Using Concrete Sound Elements. ''Front Psychol''. 2021; '''12''': 654314
CaBagE: A Cas9-based Background Elimination strategy for targeted, long-read DNA sequencing. Description: Wallace, Amelia D, et al. CaBagE: A Cas9-based Background Elimination strategy for targeted, long-read DNA sequencing. ''PLoS One''. 2021; '''16''' (4):e0241253
Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 Infections. Description: Ma, Huijing, et al. Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 Infections. ''Front Med (Lausanne)''. 2021; '''8''': 699984
Cardiovascular Disease Prediction by Machine Learning Algorithms Based on Cytokines in Kazakhs of China. Description: Jiang, Yunxing, et al. Cardiovascular Disease Prediction by Machine Learning Algorithms Based on Cytokines in Kazakhs of China. ''Clin Epidemiol''. 2021; '''13''': 417-428
CEUS-Based Radiomics Can Show Changes in Protein Levels in Liver Metastases After Incomplete Thermal Ablation. Description: Bao, Haiwei, et al. CEUS-Based Radiomics Can Show Changes in Protein Levels in Liver Metastases After Incomplete Thermal Ablation. ''Front Oncol''. 2021; '''11''': 694102
Chronic stress in practice assistants: An analytic approach comparing four machine learning classifiers with a standard logistic regression model. Description: Bozorgmehr, Arezoo, et al. Chronic stress in practice assistants: An analytic approach comparing four machine learning classifiers with a standard logistic regression model. ''PLoS One''. 2021; '''16''' (5):e0250842
Classification of Alzheimer's Disease Leveraging Multi-task Machine Learning Analysis of Speech and Eye-Movement Data. Description: Jang, Hyeju, et al. Classification of Alzheimer's Disease Leveraging Multi-task Machine Learning Analysis of Speech and Eye-Movement Data. ''Front Hum Neurosci''. 2021; '''15''': 716670
Classification of masked image data. Description: Lis, Kamila, et al. Classification of masked image data. ''PLoS One''. 2021; '''16''' (7):e0254181
Classification of unipolar and bipolar depression using machine learning techniques. Description: Suen, Paulo J C, et al. Classification of unipolar and bipolar depression using machine learning techniques. ''Psychiatry Res''. 2021 Jan; '''295''': 113624
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. Description: Routier, Alexandre, et al. Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. ''Front Neuroinform''. 2021; '''15''': 689675
Clinical Value of Machine Learning-Based Ultrasomics in Preoperative Differentiation Between Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma: A Multicenter Study. Description: Ren, Shanshan, et al. Clinical Value of Machine Learning-Based Ultrasomics in Preoperative Differentiation Between Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma: A Multicenter Study. ''Front Oncol''. 2021; '''11''': 749137
Clustered embedding using deep learning to analyze urban mobility based on complex transportation data. Description: Cho, Sung-Bae, et al. Clustered embedding using deep learning to analyze urban mobility based on complex transportation data. ''PLoS One''. 2021; '''16''' (4):e0249318
Combining Metabolomics and Interpretable Machine Learning to Reveal Plasma Metabolic Profiling and Biological Correlates of Alcohol-Dependent Inpatients: What About Tryptophan Metabolism Regulation? Description: Zhu, Xiuqing, et al. Combining Metabolomics and Interpretable Machine Learning to Reveal Plasma Metabolic Profiling and Biological Correlates of Alcohol-Dependent Inpatients: What About Tryptophan Metabolism Regulation? ''Front Mol Biosci''. 2021; '''8''': 760669
Combining Multi-Dimensional Convolutional Neural Network (CNN) With Visualization Method for Detection of Aphis gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging. Description: Yan, Tianying, et al. Combining Multi-Dimensional Convolutional Neural Network (CNN) With Visualization Method for Detection of Aphis gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging. ''Front Plant Sci''. 2021; '''12''': 604510
Combining Multimodal Behavioral Data of Gait, Speech, and Drawing for Classification of Alzheimer's Disease and Mild Cognitive Impairment. Description: Yamada, Yasunori, et al. Combining Multimodal Behavioral Data of Gait, Speech, and Drawing for Classification of Alzheimer's Disease and Mild Cognitive Impairment. ''J Alzheimers Dis''. 2021; '''84''' (1):315-327
Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania. Description: Tarimo, Clifford Silver, et al. Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania. ''Risk Manag Healthc Policy''. 2021; '''14''': 3711-3720
Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of Clinical Staphylococcus Species. Description: Tang, Jia-Wei, et al. Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of Clinical Staphylococcus Species. ''Front Microbiol''. 2021; '''12''': 696921
Complex Age- and Cancer-Related Changes in Human Blood Transcriptome-Implications for Pan-Cancer Diagnostics. Description: Qi, Fei, et al. Complex Age- and Cancer-Related Changes in Human Blood Transcriptome-Implications for Pan-Cancer Diagnostics. ''Front Genet''. 2021; '''12''': 746879
Compositional Data Analysis of Periodontal Disease Microbial Communities. Description: Sisk-Hackworth, Laura, et al. Compositional Data Analysis of Periodontal Disease Microbial Communities. ''Front Microbiol''. 2021; '''12''': 617949
Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization. Description: Sun, Dachun, et al. Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization. ''Front Big Data''. 2021; '''4''': 729881
Computational Studies of the Structural Basis of Human RPS19 Mutations Associated With Diamond-Blackfan Anemia. Description: An, Ke, et al. Computational Studies of the Structural Basis of Human RPS19 Mutations Associated With Diamond-Blackfan Anemia. ''Front Genet''. 2021; '''12''': 650897
Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study. Description: Li, Jingjing, et al. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study. ''Front Endocrinol (Lausanne)''. 2021; '''12''': 741698
Concept of indecisiveness within the HEXACO personality framework. Description: Bratko, Denis, et al. Concept of indecisiveness within the HEXACO personality framework. ''Curr Issues Personal Psychol''. 2021; '''9''' (2):148-158
Construction of a Risk Prediction Model for Hospital-Acquired Pulmonary Embolism in Hospitalized Patients. Description: Hou, Lengchen, et al. Construction of a Risk Prediction Model for Hospital-Acquired Pulmonary Embolism in Hospitalized Patients. ''Clin Appl Thromb Hemost''. 2021 Jan-Dec; '''27''': 10760296211040868
Contextualizing Genes by Using Text-Mined Co-Occurrence Features for Cancer Gene Panel Discovery. Description: Chen, Hui-O, et al. Contextualizing Genes by Using Text-Mined Co-Occurrence Features for Cancer Gene Panel Discovery. ''Front Genet''. 2021; '''12''': 771435
Contribution of pulmonary diseases to COVID-19 mortality in a diverse urban community of New York. Description: Girardin, Jean-Louis, et al. Contribution of pulmonary diseases to COVID-19 mortality in a diverse urban community of New York. ''Chron Respir Dis''. 2021 Jan-Dec; '''18''': 1479973120986806
Contribution of T Cell Receptor Alpha and Beta CDR3, MHC Typing, V and J Genes to Peptide Binding Prediction. Description: Springer, Ido, et al. Contribution of T Cell Receptor Alpha and Beta CDR3, MHC Typing, V and J Genes to Peptide Binding Prediction. ''Front Immunol''. 2021; '''12''': 664514
Convolutional neural network-based ensemble methods to recognize Bangla handwritten character. Description: Shibly, Mir Moynuddin Ahmed, et al. Convolutional neural network-based ensemble methods to recognize Bangla handwritten character. ''PeerJ Comput Sci''. 2021; '''7''': e565
Correlation Constraints for Regression Models: Controlling Bias in Brain Age Prediction. Description: Treder, Matthias S, et al. Correlation Constraints for Regression Models: Controlling Bias in Brain Age Prediction. ''Front Psychiatry''. 2021; '''12''': 615754
Cortical and phase rim lesions on 7 T MRI as markers of multiple sclerosis disease progression. Description: Treaba, Constantina A, et al. Cortical and phase rim lesions on 7 T MRI as markers of multiple sclerosis disease progression. ''Brain Commun''. 2021; '''3''' (3):fcab134
Coupling of Co-expression Network Analysis and Machine Learning Validation Unearthed Potential Key Genes Involved in Rheumatoid Arthritis. Description: Xiao, Jianwei, et al. Coupling of Co-expression Network Analysis and Machine Learning Validation Unearthed Potential Key Genes Involved in Rheumatoid Arthritis. ''Front Genet''. 2021; '''12''': 604714
COVID-19 and Emotional Variables in a Sample of Chileans. Description: Gonzalez-Tovar, Mariela, et al. COVID-19 and Emotional Variables in a Sample of Chileans. ''Front Psychol''. 2021; '''12''': 615268
Crop yield prediction integrating genotype and weather variables using deep learning. Description: Shook, Johnathon, et al. Crop yield prediction integrating genotype and weather variables using deep learning. ''PLoS One''. 2021; '''16''' (6):e0252402
Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer's disease. Description: Bron, Esther E, et al. Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer's disease. ''Neuroimage Clin''. 2021; '''31''': 102712
Data augmentation based malware detection using convolutional neural networks. Description: Catak, Ferhat Ozgur, et al. Data augmentation based malware detection using convolutional neural networks. ''PeerJ Comput Sci''. 2021; '''7''': e346
Decision Tree With Only Two Musculoskeletal Sites to Diagnose Polymyalgia Rheumatica Using [(18)F]FDG PET-CT. Description: Flaus, Anthime, et al. Decision Tree With Only Two Musculoskeletal Sites to Diagnose Polymyalgia Rheumatica Using [(18)F]FDG PET-CT. ''Front Med (Lausanne)''. 2021; '''8''': 646974
Deepfake tweets classification using stacked Bi-LSTM and words embedding. Description: Rupapara, Vaibhav, et al. Deepfake tweets classification using stacked Bi-LSTM and words embedding. ''PeerJ Comput Sci''. 2021; '''7''': e745
Deep Learning-Based Classification of GAD67-Positive Neurons Without the Immunosignal. Description: Yamashiro, Kotaro, et al. Deep Learning-Based Classification of GAD67-Positive Neurons Without the Immunosignal. ''Front Neuroanat''. 2021; '''15''': 643067
Deep Learning-Based Methods for Sentiment Analysis on Nepali COVID-19-Related Tweets. Description: Sitaula, C, et al. Deep Learning-Based Methods for Sentiment Analysis on Nepali COVID-19-Related Tweets. ''Comput Intell Neurosci''. 2021; '''2021''': 2158184
Deep learning classification of lipid droplets in quantitative phase images. Description: Sheneman, Luke, et al. Deep learning classification of lipid droplets in quantitative phase images. ''PLoS One''. 2021; '''16''' (4):e0249196
Deep Learning Classification of Unipolar Electrograms in Human Atrial Fibrillation: Application in Focal Source Mapping. Description: Liao, Shun, et al. Deep Learning Classification of Unipolar Electrograms in Human Atrial Fibrillation: Application in Focal Source Mapping. ''Front Physiol''. 2021; '''12''': 704122
Deep Learning Models for Gastric Signet Ring Cell Carcinoma Classification in Whole Slide Images. Description: Kanavati, Fahdi, et al. Deep Learning Models for Gastric Signet Ring Cell Carcinoma Classification in Whole Slide Images. ''Technol Cancer Res Treat''. 2021 Jan-Dec; '''20''': 15330338211027901
Deep Learning on Enhanced CT Images Can Predict the Muscular Invasiveness of Bladder Cancer. Description: Zhang, Gumuyang, et al. Deep Learning on Enhanced CT Images Can Predict the Muscular Invasiveness of Bladder Cancer. ''Front Oncol''. 2021; '''11''': 654685
Deep Learning Radiomics to Predict PTEN Mutation Status From Magnetic Resonance Imaging in Patients With Glioma. Description: Chen, Hongyu, et al. Deep Learning Radiomics to Predict PTEN Mutation Status From Magnetic Resonance Imaging in Patients With Glioma. ''Front Oncol''. 2021; '''11''': 734433
Deep learning with robustness to missing data: A novel approach to the detection of COVID-19. Description: Calli, Erdi, et al. Deep learning with robustness to missing data: A novel approach to the detection of COVID-19. ''PLoS One''. 2021; '''16''' (7):e0255301
Deep Neural Network to Differentiate Brain Activity Between Patients With First-Episode Schizophrenia and Healthy Individuals: A Multi-Channel Near Infrared Spectroscopy Study. Description: Chou, Po-Han, et al. Deep Neural Network to Differentiate Brain Activity Between Patients With First-Episode Schizophrenia and Healthy Individuals: A Multi-Channel Near Infrared Spectroscopy Study. ''Front Psychiatry''. 2021; '''12''': 655292
Deep reinforcement learning approaches for global public health strategies for COVID-19 pandemic. Description: Kwak, Gloria Hyunjung, et al. Deep reinforcement learning approaches for global public health strategies for COVID-19 pandemic. ''PLoS One''. 2021; '''16''' (5):e0251550
Detailed Analysis and Radiomic Prediction of First Progression Sites of First-Line Targeted Therapy for EGFR-Mutant Lung Adenocarcinoma Patients With Systemic Metastasis. Description: Li, Xiaoyang, et al. Detailed Analysis and Radiomic Prediction of First Progression Sites of First-Line Targeted Therapy for EGFR-Mutant Lung Adenocarcinoma Patients With Systemic Metastasis. ''Front Oncol''. 2021; '''11''': 757892
Detecting Plant Stress Using Thermal and Optical Imagery From an Unoccupied Aerial Vehicle. Description: Stutsel, Bonny, et al. Detecting Plant Stress Using Thermal and Optical Imagery From an Unoccupied Aerial Vehicle. ''Front Plant Sci''. 2021; '''12''': 734944
Detection of Fuchs' Uveitis Syndrome From Slit-Lamp Images Using Deep Convolutional Neural Networks in a Chinese Population. Description: Zhang, Wanyun, et al. Detection of Fuchs' Uveitis Syndrome From Slit-Lamp Images Using Deep Convolutional Neural Networks in a Chinese Population. ''Front Cell Dev Biol''. 2021; '''9''': 684522
Detection of mind wandering using EEG: Within and across individuals. Description: Dong, Henry W, et al. Detection of mind wandering using EEG: Within and across individuals. ''PLoS One''. 2021; '''16''' (5):e0251490
Detection of overdose and underdose prescriptions-An unsupervised machine learning approach. Description: Nagata, Kenichiro, et al. Detection of overdose and underdose prescriptions-An unsupervised machine learning approach. ''PLoS One''. 2021; '''16''' (11):e0260315
Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare records. Description: Ayre, Karyn, et al. Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare records. ''PLoS One''. 2021; '''16''' (8):e0253809
Developing Machine-Learning Prediction Algorithm for Bacteremia in Admitted Patients. Description: Mahmoud, Ebrahim, et al. Developing Machine-Learning Prediction Algorithm for Bacteremia in Admitted Patients. ''Infect Drug Resist''. 2021; '''14''': 757-765
Development and validation of a cellular host response test as an early diagnostic for sepsis. Description: Guillou, Lionel, et al. Development and validation of a cellular host response test as an early diagnostic for sepsis. ''PLoS One''. 2021; '''16''' (4):e0246980
Development and Validation of Predictors for the Survival of Patients With COVID-19 Based on Machine Learning. Description: Zhao, Yongfeng, et al. Development and Validation of Predictors for the Survival of Patients With COVID-19 Based on Machine Learning. ''Front Med (Lausanne)''. 2021; '''8''': 683431
Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis. Description: de Causans, Alix, et al. Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis. ''Front Oncol''. 2021; '''11''': 638262
Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy. Description: Stenhouse, Kailyn, et al. Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy. ''Front Oncol''. 2021; '''11''': 611437
Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients. Description: Marcos, Miguel, et al. Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients. ''PLoS One''. 2021; '''16''' (4):e0240200
Development of Random Forest Algorithm Based Prediction Model of Alzheimer's Disease Using Neurodegeneration Pattern. Description: Kim, JeeYoung, et al. Development of Random Forest Algorithm Based Prediction Model of Alzheimer's Disease Using Neurodegeneration Pattern. ''Psychiatry Investig''. 2021 Jan; '''18''' (1):69-79
DICE: A Drug Indication Classification and Encyclopedia for AI-Based Indication Extraction. Description: Bhatt, Arjun, et al. DICE: A Drug Indication Classification and Encyclopedia for AI-Based Indication Extraction. ''Front Artif Intell''. 2021; '''4''': 711467
Differential privacy fuzzy C-means clustering algorithm based on gaussian kernel function. Description: Zhang, Yaling, et al. Differential privacy fuzzy C-means clustering algorithm based on gaussian kernel function. ''PLoS One''. 2021; '''16''' (3):e0248737
Differentiation of Glioma Mimicking Encephalitis and Encephalitis Using Multiparametric MR-Based Deep Learning. Description: Wu, Wenli, et al. Differentiation of Glioma Mimicking Encephalitis and Encephalitis Using Multiparametric MR-Based Deep Learning. ''Front Oncol''. 2021; '''11''': 639062
Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography. Description: Xu, Hanyue, et al. Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography. ''Technol Cancer Res Treat''. 2021 Jan-Dec; '''20''': 15330338211039125
Differentiation of Low-Grade Astrocytoma From Anaplastic Astrocytoma Using Radiomics-Based Machine Learning Techniques. Description: Chen, Boran, et al. Differentiation of Low-Grade Astrocytoma From Anaplastic Astrocytoma Using Radiomics-Based Machine Learning Techniques. ''Front Oncol''. 2021; '''11''': 521313
Distinguishing between PTEN clinical phenotypes through mutation analysis. Description: Portelli, Stephanie, et al. Distinguishing between PTEN clinical phenotypes through mutation analysis. ''Comput Struct Biotechnol J''. 2021; '''19''': 3097-3109
Diversity and Eco-Evolutionary Associations of Endosymbiotic Astome Ciliates With Their Lumbricid Earthworm Hosts. Description: Obert, Tomas, et al. Diversity and Eco-Evolutionary Associations of Endosymbiotic Astome Ciliates With Their Lumbricid Earthworm Hosts. ''Front Microbiol''. 2021; '''12''': 689987
Dynamic Allocation of Carbon Storage and Nutrient-Dependent Exudation in a Revised Genome-Scale Model of Prochlorococcus. Description: Ofaim, Shany, et al. Dynamic Allocation of Carbon Storage and Nutrient-Dependent Exudation in a Revised Genome-Scale Model of Prochlorococcus. ''Front Genet''. 2021; '''12''': 586293
eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19. Description: Singhal, Lakshya, et al. eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19. ''PLoS One''. 2021; '''16''' (9):e0257056
Early Detection of Rhabdomyolysis-Induced Acute Kidney Injury through Machine Learning Approaches. Description: Poorsarvi Tehrani, Pooria, et al. Early Detection of Rhabdomyolysis-Induced Acute Kidney Injury through Machine Learning Approaches. ''Arch Acad Emerg Med''. 2021; '''9''' (1):e29
Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning. Description: Aljouie, Abdulrhman Fahad, et al. Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning. ''J Multidiscip Healthc''. 2021; '''14''': 2017-2033
Early Prediction of Left Ventricular Reverse Remodeling in First-Diagnosed Idiopathic Dilated Cardiomyopathy: A Comparison of Linear Model, Random Forest, and Extreme Gradient Boosting. Description: Xie, Xiangkun, et al. Early Prediction of Left Ventricular Reverse Remodeling in First-Diagnosed Idiopathic Dilated Cardiomyopathy: A Comparison of Linear Model, Random Forest, and Extreme Gradient Boosting. ''Front Cardiovasc Med''. 2021; '''8''': 684004
Early Prediction of Tacrolimus-Induced Tubular Toxicity in Pediatric Refractory Nephrotic Syndrome Using Machine Learning. Description: Mo, Xiaolan, et al. Early Prediction of Tacrolimus-Induced Tubular Toxicity in Pediatric Refractory Nephrotic Syndrome Using Machine Learning. ''Front Pharmacol''. 2021; '''12''': 638724
Effective Search of Triterpenes with Anti-HSV-1 Activity Using a Classification Model by Logistic Regression. Description: Ogawa, Keiko, et al. Effective Search of Triterpenes with Anti-HSV-1 Activity Using a Classification Model by Logistic Regression. ''Front Chem''. 2021; '''9''': 763794
Effect of transportation and social isolation on facial expressions of healthy horses. Description: Lundblad, Johan, et al. Effect of transportation and social isolation on facial expressions of healthy horses. ''PLoS One''. 2021; '''16''' (6):e0241532
Effects of fecal microbiota transplant on DNA methylation in subjects with metabolic syndrome. Description: van der Vossen, Eduard W J, et al. Effects of fecal microbiota transplant on DNA methylation in subjects with metabolic syndrome. ''Gut Microbes''. 2021 Jan-Dec; '''13''' (1):1993513
Efficient Detection of Longitudinal Bacteria Fission Using Transfer Learning in Deep Neural Networks. Description: Garcia-Perez, Carlos, et al. Efficient Detection of Longitudinal Bacteria Fission Using Transfer Learning in Deep Neural Networks. ''Front Microbiol''. 2021; '''12''': 645972
Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements. Description: Zhou, Kai, et al. Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements. ''Comput Struct Biotechnol J''. 2021; '''19''': 3640-3649
ESIDE: A computationally intelligent method to identify earthworm species (E. fetida) from digital images: Application in taxonomy. Description: Andleeb, Saiqa, et al. ESIDE: A computationally intelligent method to identify earthworm species (E. fetida) from digital images: Application in taxonomy. ''PLoS One''. 2021; '''16''' (9):e0255674
Evaluating Deep Learning models for predicting ALK-5 inhibition. Description: Espinoza, Gabriel Z, et al. Evaluating Deep Learning models for predicting ALK-5 inhibition. ''PLoS One''. 2021; '''16''' (1):e0246126
Evaluating the impact of multivariate imputation by MICE in feature selection. Description: Mera-Gaona, Maritza, et al. Evaluating the impact of multivariate imputation by MICE in feature selection. ''PLoS One''. 2021; '''16''' (7):e0254720
Evaluation of Task fMRI Decoding With Deep Learning on a Small Sample Dataset. Description: Yotsutsuji, Sunao, et al. Evaluation of Task fMRI Decoding With Deep Learning on a Small Sample Dataset. ''Front Neuroinform''. 2021; '''15''': 577451
Experimental study of photon-counting CT neural network material decomposition under conditions of pulse pileup. Description: Jenkins, Parker J B, et al. Experimental study of photon-counting CT neural network material decomposition under conditions of pulse pileup. ''J Med Imaging (Bellingham)''. 2021 Jan; '''8''' (1):013502
Exploration of physiological sensors, features, and machine learning models for pain intensity estimation. Description: Pouromran, Fatemeh, et al. Exploration of physiological sensors, features, and machine learning models for pain intensity estimation. ''PLoS One''. 2021; '''16''' (7):e0254108
Factors That Affect Patient Attrition in Buprenorphine Treatment for Opioid Use Disorder: A Retrospective Real-World Study Using Electronic Health Records. Description: Ker, Sheryl, et al. Factors That Affect Patient Attrition in Buprenorphine Treatment for Opioid Use Disorder: A Retrospective Real-World Study Using Electronic Health Records. ''Neuropsychiatr Dis Treat''. 2021; '''17''': 3229-3244
Fast and Scalable Private Genotype Imputation Using Machine Learning and Partially Homomorphic Encryption. Description: Sarkar, Esha, et al. Fast and Scalable Private Genotype Imputation Using Machine Learning and Partially Homomorphic Encryption. ''IEEE Access''. 2021; '''9''': 93097-93110
Fat mass prediction equations and reference ranges for Saudi Arabian Children aged 8-12 years using machine technique method. Description: Alkutbe, Rabab B, et al. Fat mass prediction equations and reference ranges for Saudi Arabian Children aged 8-12 years using machine technique method. ''PeerJ''. 2021; '''9''': e10734
Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover. Description: Frohling, Leon, et al. Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover. ''PeerJ Comput Sci''. 2021; '''7''': e443
Five genetic variants explain over 70% of hair coat pheomelanin intensity variation in purebred and mixed breed domestic dogs. Description: Slavney, Andrea J, et al. Five genetic variants explain over 70% of hair coat pheomelanin intensity variation in purebred and mixed breed domestic dogs. ''PLoS One''. 2021; '''16''' (5):e0250579
Fixel-Based Analysis and Free Water Corrected DTI Evaluation of HIV-Associated Neurocognitive Disorders. Description: Finkelstein, Alan, et al. Fixel-Based Analysis and Free Water Corrected DTI Evaluation of HIV-Associated Neurocognitive Disorders. ''Front Neurol''. 2021; '''12''': 725059
Four different mechanisms for switching cell polarity. Description: Tostevin, Filipe, et al. Four different mechanisms for switching cell polarity. ''PLoS Comput Biol''. 2021 Jan; '''17''' (1):e1008587
FOXQ1 is Differentially Expressed Across Breast Cancer Subtypes with Low Expression Associated with Poor Overall Survival. Description: Elian, Fahed A, et al. FOXQ1 is Differentially Expressed Across Breast Cancer Subtypes with Low Expression Associated with Poor Overall Survival. ''Breast Cancer (Dove Med Press)''. 2021; '''13''': 171-188
Functional Network Alterations as Markers for Predicting the Treatment Outcome of Cathodal Transcranial Direct Current Stimulation in Focal Epilepsy. Description: Hao, Jiaxin, et al. Functional Network Alterations as Markers for Predicting the Treatment Outcome of Cathodal Transcranial Direct Current Stimulation in Focal Epilepsy. ''Front Hum Neurosci''. 2021; '''15''': 637071
Gaze Gesture Recognition by Graph Convolutional Networks. Description: Shi, Lei, et al. Gaze Gesture Recognition by Graph Convolutional Networks. ''Front Robot AI''. 2021; '''8''': 709952
Genomic pan-cancer classification using image-based deep learning. Description: Ye, Taoyu, et al. Genomic pan-cancer classification using image-based deep learning. ''Comput Struct Biotechnol J''. 2021; '''19''': 835-846
Glaucoma classification based on scanning laser ophthalmoscopic images using a deep learning ensemble method. Description: Sulot, Dominika, et al. Glaucoma classification based on scanning laser ophthalmoscopic images using a deep learning ensemble method. ''PLoS One''. 2021; '''16''' (6):e0252339
HADLN: Hybrid Attention-Based Deep Learning Network for Automated Arrhythmia Classification. Description: Jiang, Mingfeng, et al. HADLN: Hybrid Attention-Based Deep Learning Network for Automated Arrhythmia Classification. ''Front Physiol''. 2021; '''12''': 683025
Hallmark microRNA signature in liquid biopsy identifies hepatocellular carcinoma and differentiates it from liver metastasis. Description: Wong, Victor Chun-Lam, et al. Hallmark microRNA signature in liquid biopsy identifies hepatocellular carcinoma and differentiates it from liver metastasis. ''J Cancer''. 2021; '''12''' (15):4585-4594
Handcrafted and Deep Learning-Based Radiomic Models Can Distinguish GBM from Brain Metastasis. Description: Liu, Zhiyuan, et al. Handcrafted and Deep Learning-Based Radiomic Models Can Distinguish GBM from Brain Metastasis. ''J Oncol''. 2021; '''2021''': 5518717
Heart rate n-variability (HRnV) measures for prediction of mortality in sepsis patients presenting at the emergency department. Description: Liu, Nan, et al. Heart rate n-variability (HRnV) measures for prediction of mortality in sepsis patients presenting at the emergency department. ''PLoS One''. 2021; '''16''' (8):e0249868
Hepatic Alveolar Echinococcosis: Predictive Biological Activity Based on Radiomics of MRI. Description: Ren, Bo, et al. Hepatic Alveolar Echinococcosis: Predictive Biological Activity Based on Radiomics of MRI. ''Biomed Res Int''. 2021; '''2021''': 6681092
HistoClean: Open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks. Description: McCombe, Kris D, et al. HistoClean: Open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks. ''Comput Struct Biotechnol J''. 2021; '''19''': 4840-4853
Hyperspectral Imaging Combined With Deep Transfer Learning for Rice Disease Detection. Description: Feng, Lei, et al. Hyperspectral Imaging Combined With Deep Transfer Learning for Rice Disease Detection. ''Front Plant Sci''. 2021; '''12''': 693521
i6mA-stack: A stacking ensemble-based computational prediction of DNA N6-methyladenine (6mA) sites in the Rosaceae genome. Description: Khanal, Jhabindra, et al. i6mA-stack: A stacking ensemble-based computational prediction of DNA N6-methyladenine (6mA) sites in the Rosaceae genome. ''Genomics''. 2021 Jan; '''113''' (1 Pt 2):582-592
iCDI-W2vCom: Identifying the Ion Channel-Drug Interaction in Cellular Networking Based on word2vec and node2vec. Description: Zheng, Jie, et al. iCDI-W2vCom: Identifying the Ion Channel-Drug Interaction in Cellular Networking Based on word2vec and node2vec. ''Front Genet''. 2021; '''12''': 738274
Identification of CDCA2 as a Diagnostic and Prognostic Marker for Hepatocellular Carcinoma. Description: Yu, Zhenjun, et al. Identification of CDCA2 as a Diagnostic and Prognostic Marker for Hepatocellular Carcinoma. ''Front Oncol''. 2021; '''11''': 755814
Identification of conserved transcriptome features between humans and Drosophila in the aging brain utilizing machine learning on combined data from the NIH Sequence Read Archive. Description: Webb, Joe L, et al. Identification of conserved transcriptome features between humans and Drosophila in the aging brain utilizing machine learning on combined data from the NIH Sequence Read Archive. ''PLoS One''. 2021; '''16''' (8):e0255085
Identification of HCC-Related Genes Based on Differential Partial Correlation Network. Description: Gao, Yuyao, et al. Identification of HCC-Related Genes Based on Differential Partial Correlation Network. ''Front Genet''. 2021; '''12''': 672117
Identification of Key Genes and Pathways Associated With Paclitaxel Resistance in Esophageal Squamous Cell Carcinoma Based on Bioinformatics Analysis. Description: Shen, Zhimin, et al. Identification of Key Genes and Pathways Associated With Paclitaxel Resistance in Esophageal Squamous Cell Carcinoma Based on Bioinformatics Analysis. ''Front Genet''. 2021; '''12''': 671639
Identification of Liver Cancer Stem Cell Stemness Markers Using a Comparative Analysis of Public Data Sets. Description: Borziak, Kirill, et al. Identification of Liver Cancer Stem Cell Stemness Markers Using a Comparative Analysis of Public Data Sets. ''Stem Cells Cloning''. 2021; '''14''': 9-17
Identification of Novel Serum Metabolic Biomarkers as Indicators in the Progression of Intravenous Leiomyomatosis: A High Performance Liquid Chromatography-Tandem Mass Spectrometry-Based Study. Description: Ge, Zhitong, et al. Identification of Novel Serum Metabolic Biomarkers as Indicators in the Progression of Intravenous Leiomyomatosis: A High Performance Liquid Chromatography-Tandem Mass Spectrometry-Based Study. ''Front Cell Dev Biol''. 2021; '''9''': 695540
Identification of Suicidal Ideation in the Canadian Community Health Survey-Mental Health Component Using Deep Learning. Description: Desai, Sneha, et al. Identification of Suicidal Ideation in the Canadian Community Health Survey-Mental Health Component Using Deep Learning. ''Front Artif Intell''. 2021; '''4''': 561528
Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods. Description: Chen, Lei, et al. Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods. ''Biomed Res Int''. 2021; '''2021''': 9939134
Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation. Description: Khanal, Jhabindra, et al. Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation. ''Comput Struct Biotechnol J''. 2021; '''19''': 1612-1619
Identifying novel beta-lactamase substrate activity through in silico prediction of antimicrobial resistance. Description: Tsang, Kara K, et al. Identifying novel beta-lactamase substrate activity through in silico prediction of antimicrobial resistance. ''Microb Genom''. 2021 Jan; '''7''' (1):
Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer Subtypes. Description: Yuan, Fei, et al. Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer Subtypes. ''Front Genet''. 2021; '''12''': 651610
Identifying vulgarity in Bengali social media textual content. Description: Sazzed, Salim. Identifying vulgarity in Bengali social media textual content. ''PeerJ Comput Sci''. 2021; '''7''': e665
Imaging Time Series of Eye Tracking Data to Classify Attentional States. Description: Vortmann, Lisa-Marie, et al. Imaging Time Series of Eye Tracking Data to Classify Attentional States. ''Front Neurosci''. 2021; '''15''': 664490
Immune and cellular damage biomarkers to predict COVID-19 mortality in hospitalized patients. Description: Lombardi, Carlo, et al. Immune and cellular damage biomarkers to predict COVID-19 mortality in hospitalized patients. ''Curr Res Immunol''. 2021; '''2''': 155-162
Impact of chart image characteristics on stock price prediction with a convolutional neural network. Description: Jin, Guangxun, et al. Impact of chart image characteristics on stock price prediction with a convolutional neural network. ''PLoS One''. 2021; '''16''' (6):e0253121
Impaired Adaptation and Laminar Processing of the Oddball Paradigm in the Primary Visual Cortex of Fmr1 KO Mouse. Description: Pak, Alexandr, et al. Impaired Adaptation and Laminar Processing of the Oddball Paradigm in the Primary Visual Cortex of Fmr1 KO Mouse. ''Front Cell Neurosci''. 2021; '''15''': 668230
IMPROVE 1.0: Individual Monitoring of Psoriasis Activity by Regular Online App Questionnaires and Outpatient Visits. Description: Garzorz-Stark, Natalie, et al. IMPROVE 1.0: Individual Monitoring of Psoriasis Activity by Regular Online App Questionnaires and Outpatient Visits. ''Front Med (Lausanne)''. 2021; '''8''': 648233
Improved sequence-based prediction of interaction sites in alpha-helical transmembrane proteins by deep learning. Description: Sun, Jianfeng, et al. Improved sequence-based prediction of interaction sites in alpha-helical transmembrane proteins by deep learning. ''Comput Struct Biotechnol J''. 2021; '''19''': 1512-1530
Improvement Using Planomics Features on Prediction and Classification of Patient-Specific Quality Assurance Using Head and Neck Volumetric Modulated Arc Therapy Plan. Description: Li, Bing, et al. Improvement Using Planomics Features on Prediction and Classification of Patient-Specific Quality Assurance Using Head and Neck Volumetric Modulated Arc Therapy Plan. ''Front Neurosci''. 2021; '''15''': 744296
Improving fake news classification using dependency grammar. Description: Nagy, Kitti, et al. Improving fake news classification using dependency grammar. ''PLoS One''. 2021; '''16''' (9):e0256940
Improving Genomic Prediction Using High-Dimensional Secondary Phenotypes. Description: Arouisse, Bader, et al. Improving Genomic Prediction Using High-Dimensional Secondary Phenotypes. ''Front Genet''. 2021; '''12''': 667358
Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework. Description: Kuo, Chen-Yuan, et al. Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework. ''Front Psychiatry''. 2021; '''12''': 626677
Improving the Generalizability of Infantile Cataracts Detection via Deep Learning-Based Lens Partition Strategy and Multicenter Datasets. Description: Jiang, Jiewei, et al. Improving the Generalizability of Infantile Cataracts Detection via Deep Learning-Based Lens Partition Strategy and Multicenter Datasets. ''Front Med (Lausanne)''. 2021; '''8''': 664023
Impulsivity-Compulsivity Axis: Evidence of Its Clinical Validity to Individually Classify Subjects on the Use/Abuse of Information and Communication Technologies. Description: Cassu-Ponsati, Daniel, et al. Impulsivity-Compulsivity Axis: Evidence of Its Clinical Validity to Individually Classify Subjects on the Use/Abuse of Information and Communication Technologies. ''Front Psychol''. 2021; '''12''': 647682
Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN. Description: Kwon, ChangHyuk, et al. Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN. ''PLoS One''. 2021; '''16''' (4):e0250458
Information Retrieval Using Machine Learning for Biomarker Curation in the Exposome-Explorer. Description: Lamurias, Andre, et al. Information Retrieval Using Machine Learning for Biomarker Curation in the Exposome-Explorer. ''Front Res Metr Anal''. 2021; '''6''': 689264
Insight on the Genetics of Atrial Fibrillation in Puerto Rican Hispanics. Description: Gonzalez-Cordero, Ariel F, et al. Insight on the Genetics of Atrial Fibrillation in Puerto Rican Hispanics. ''Stroke Res Treat''. 2021; '''2021''': 8819896
Intense bitterness of molecules: Machine learning for expediting drug discovery. Description: Margulis, Eitan, et al. Intense bitterness of molecules: Machine learning for expediting drug discovery. ''Comput Struct Biotechnol J''. 2021; '''19''': 568-576
Interpretable, Scalable, and Transferrable Functional Projection of Large-Scale Transcriptome Data Using Constrained Matrix Decomposition. Description: Panchy, Nicholas, et al. Interpretable, Scalable, and Transferrable Functional Projection of Large-Scale Transcriptome Data Using Constrained Matrix Decomposition. ''Front Genet''. 2021; '''12''': 719099
Intracranial Densitometry-Augmented Machine Learning Enhances the Prognostic Value of Brain CT in Pediatric Patients With Traumatic Brain Injury: A Retrospective Pilot Study. Description: Kim, Young-Tak, et al. Intracranial Densitometry-Augmented Machine Learning Enhances the Prognostic Value of Brain CT in Pediatric Patients With Traumatic Brain Injury: A Retrospective Pilot Study. ''Front Pediatr''. 2021; '''9''': 750272
Introducing Point-of-Interest as an alternative to Area-of-Interest for fixation duration analysis. Description: Rim, Nak Won, et al. Introducing Point-of-Interest as an alternative to Area-of-Interest for fixation duration analysis. ''PLoS One''. 2021; '''16''' (5):e0250170
K-mer-based machine learning method to classify LTR-retrotransposons in plant genomes. Description: Orozco-Arias, Simon, et al. K-mer-based machine learning method to classify LTR-retrotransposons in plant genomes. ''PeerJ''. 2021; '''9''': e11456
KNNCNV: A K-Nearest Neighbor Based Method for Detection of Copy Number Variations Using NGS Data. Description: Xie, Kun, et al. KNNCNV: A K-Nearest Neighbor Based Method for Detection of Copy Number Variations Using NGS Data. ''Front Cell Dev Biol''. 2021; '''9''': 796249
Language Network Connectivity Increases in Early Alzheimer's Disease. Description: Pistono, Aurelie, et al. Language Network Connectivity Increases in Early Alzheimer's Disease. ''J Alzheimers Dis''. 2021; '''82''' (1):447-460
Large-Scale Computational Discovery of Binding Motifs in tRNA Fragments. Description: Guan, Lingyu, et al. Large-Scale Computational Discovery of Binding Motifs in tRNA Fragments. ''Front Mol Biosci''. 2021; '''8''': 647449
Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data. Description: Luftinger, Lukas, et al. Learning From Limited Data: Towards Best Practice Techniques for Antimicrobial Resistance Prediction From Whole Genome Sequencing Data. ''Front Cell Infect Microbiol''. 2021; '''11''': 610348
Leveraging insurance customer data to characterize socioeconomic indicators of Swiss municipalities. Description: Donadio, Lorenzo, et al. Leveraging insurance customer data to characterize socioeconomic indicators of Swiss municipalities. ''PLoS One''. 2021; '''16''' (3):e0246785
Long-Term Mechanical Ventilation in Neonates: A 10-Year Overview and Predictive Model. Description: Sauthier, Michael, et al. Long-Term Mechanical Ventilation in Neonates: A 10-Year Overview and Predictive Model. ''Front Pediatr''. 2021; '''9''': 689190
Machine learning applied to serum and cerebrospinal fluid metabolomes revealed altered arginine metabolism in neonatal sepsis with meningoencephalitis. Description: Zhang, Peng, et al. Machine learning applied to serum and cerebrospinal fluid metabolomes revealed altered arginine metabolism in neonatal sepsis with meningoencephalitis. ''Comput Struct Biotechnol J''. 2021; '''19''': 3284-3292
Machine Learning augmented docking studies of aminothioureas at the SARS-CoV-2-ACE2 interface. Description: Rola, Monika, et al. Machine Learning augmented docking studies of aminothioureas at the SARS-CoV-2-ACE2 interface. ''PLoS One''. 2021; '''16''' (9):e0256834
Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma. Description: Qian, Zenghui, et al. Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma. ''Front Oncol''. 2021; '''11''': 699789
Machine learning based CRISPR gRNA design for therapeutic exon skipping. Description: Louie, Wilson, et al. Machine learning based CRISPR gRNA design for therapeutic exon skipping. ''PLoS Comput Biol''. 2021 Jan; '''17''' (1):e1008605
Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study. Description: van Doorn, William P T M, et al. Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study. ''PLoS One''. 2021; '''16''' (6):e0253125
Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. Description: Hill, Ioana, et al. Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. ''Neuroimage''. 2021 Jan 1; '''224''': 117425
Machine-Learning Classification of a Number of Contaminant Sources in an Urban Water Network. Description: Lucin, Ivana, et al. Machine-Learning Classification of a Number of Contaminant Sources in an Urban Water Network. ''Sensors (Basel)''. 2021 Jan 1; '''21''' (1):
Machine Learning Classification of Inflammatory Bowel Disease in Children Based on a Large Real-World Pediatric Cohort CEDATA-GPGE(R) Registry. Description: Schneider, Nicolas, et al. Machine Learning Classification of Inflammatory Bowel Disease in Children Based on a Large Real-World Pediatric Cohort CEDATA-GPGE(R) Registry. ''Front Med (Lausanne)''. 2021; '''8''': 666190
Machine Learning Driven Profiling of Cerebrospinal Fluid Core Biomarkers in Alzheimer's Disease and Other Neurological Disorders. Description: Bellomo, Giovanni, et al. Machine Learning Driven Profiling of Cerebrospinal Fluid Core Biomarkers in Alzheimer's Disease and Other Neurological Disorders. ''Front Neurosci''. 2021; '''15''': 647783
Machine Learning for Predicting Mycotoxin Occurrence in Maize. Description: Camardo Leggieri, Marco, et al. Machine Learning for Predicting Mycotoxin Occurrence in Maize. ''Front Microbiol''. 2021; '''12''': 661132
Machine learning for prediction of intra-abdominal abscesses in patients with Crohn's disease visiting the emergency department. Description: Levartovsky, Asaf, et al. Machine learning for prediction of intra-abdominal abscesses in patients with Crohn's disease visiting the emergency department. ''Therap Adv Gastroenterol''. 2021; '''14''': 17562848211053114
Machine Learning for Subtyping Concussion Using a Clustering Approach. Description: Rosenblatt, Cirelle K, et al. Machine Learning for Subtyping Concussion Using a Clustering Approach. ''Front Hum Neurosci''. 2021; '''15''': 716643
Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission. Description: Banerjee, Shayantan, et al. Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission. ''Front Immunol''. 2021; '''12''': 592303
Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing's Disease. Description: Zhang, Wentai, et al. Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing's Disease. ''Front Endocrinol (Lausanne)''. 2021; '''12''': 635795
Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis. Description: Bohland, Moritz, et al. Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis. ''PLoS One''. 2021; '''16''' (9):e0257635
Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients. Description: Cheng, Chi-Yung, et al. Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients. ''Biomed Res Int''. 2021; '''2021''': 9590131
Machine Learning Models to Predict Cognitive Impairment of Rodents Subjected to Space Radiation. Description: Matar, Mona, et al. Machine Learning Models to Predict Cognitive Impairment of Rodents Subjected to Space Radiation. ''Front Syst Neurosci''. 2021; '''15''': 713131
Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia. Description: Abel, John H, et al. Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia. ''PLoS One''. 2021; '''16''' (5):e0246165
Machine learning prediction of dropping out of outpatients with alcohol use disorders. Description: Park, So Jin, et al. Machine learning prediction of dropping out of outpatients with alcohol use disorders. ''PLoS One''. 2021; '''16''' (8):e0255626
Machine-Learning Prediction of Postoperative Pituitary Hormonal Outcomes in Nonfunctioning Pituitary Adenomas: A Multicenter Study. Description: Fang, Yi, et al. Machine-Learning Prediction of Postoperative Pituitary Hormonal Outcomes in Nonfunctioning Pituitary Adenomas: A Multicenter Study. ''Front Endocrinol (Lausanne)''. 2021; '''12''': 748725
Machine learning predicts and provides insights into milk acidification rates of Lactococcus lactis. Description: Karlsen, Signe Tang, et al. Machine learning predicts and provides insights into milk acidification rates of Lactococcus lactis. ''PLoS One''. 2021; '''16''' (3):e0246287
Matrix Profile-Based Interpretable Time Series Classifier. Description: Guidotti, Riccardo, et al. Matrix Profile-Based Interpretable Time Series Classifier. ''Front Artif Intell''. 2021; '''4''': 699448
Mental fatigue prediction during eye-typing. Description: Bafna, Tanya, et al. Mental fatigue prediction during eye-typing. ''PLoS One''. 2021; '''16''' (2):e0246739
Metabolites as predictive biomarkers for Trypanosoma cruzi exposure in triatomine bugs. Description: Eberhard, Fanny E, et al. Metabolites as predictive biomarkers for Trypanosoma cruzi exposure in triatomine bugs. ''Comput Struct Biotechnol J''. 2021; '''19''': 3051-3057
MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data. Description: Albaradei, Somayah, et al. MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data. ''Comput Struct Biotechnol J''. 2021; '''19''': 4404-4411
Metformin Strongly Affects Gut Microbiome Composition in High-Fat Diet-Induced Type 2 Diabetes Mouse Model of Both Sexes. Description: Silamikele, Laila, et al. Metformin Strongly Affects Gut Microbiome Composition in High-Fat Diet-Induced Type 2 Diabetes Mouse Model of Both Sexes. ''Front Endocrinol (Lausanne)''. 2021; '''12''': 626359
Microbiome Preprocessing Machine Learning Pipeline. Description: Jasner, Yoel, et al. Microbiome Preprocessing Machine Learning Pipeline. ''Front Immunol''. 2021; '''12''': 677870
miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles. Description: Pradhan, Upendra Kumar, et al. miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles. ''PLoS One''. 2021; '''16''' (10):e0258550
miRGTF-net: Integrative miRNA-gene-TF network analysis reveals key drivers of breast cancer recurrence. Description: Nersisyan, Stepan, et al. miRGTF-net: Integrative miRNA-gene-TF network analysis reveals key drivers of breast cancer recurrence. ''PLoS One''. 2021; '''16''' (4):e0249424
ML-AdVInfect: A Machine-Learning Based Adenoviral Infection Predictor. Description: Karabulut, Onur Can, et al. ML-AdVInfect: A Machine-Learning Based Adenoviral Infection Predictor. ''Front Mol Biosci''. 2021; '''8''': 647424
Molecular subtyping of Alzheimer's disease with consensus non-negative matrix factorization. Description: Zheng, Chunlei, et al. Molecular subtyping of Alzheimer's disease with consensus non-negative matrix factorization. ''PLoS One''. 2021; '''16''' (5):e0250278
MRI-Based Grading of Clear Cell Renal Cell Carcinoma Using a Machine Learning Classifier. Description: Chen, Xin-Yuan, et al. MRI-Based Grading of Clear Cell Renal Cell Carcinoma Using a Machine Learning Classifier. ''Front Oncol''. 2021; '''11''': 708655
MRI-Based Machine Learning in Differentiation Between Benign and Malignant Breast Lesions. Description: Zhao, Yanjie, et al. MRI-Based Machine Learning in Differentiation Between Benign and Malignant Breast Lesions. ''Front Oncol''. 2021; '''11''': 552634
Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19. Description: Wang, Chong, et al. Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19. ''Theranostics''. 2021; '''11''' (16):8008-8026
Multi-omics subtyping pipeline for chronic obstructive pulmonary disease. Description: Gillenwater, Lucas A, et al. Multi-omics subtyping pipeline for chronic obstructive pulmonary disease. ''PLoS One''. 2021; '''16''' (8):e0255337
Multiparametric MRI for Characterization of the Basal Ganglia and the Midbrain. Description: Schneider, Till M, et al. Multiparametric MRI for Characterization of the Basal Ganglia and the Midbrain. ''Front Neurosci''. 2021; '''15''': 661504
MYCN Drives a Tumor Immunosuppressive Environment Which Impacts Survival in Neuroblastoma. Description: Raieli, Salvatore, et al. MYCN Drives a Tumor Immunosuppressive Environment Which Impacts Survival in Neuroblastoma. ''Front Oncol''. 2021; '''11''': 625207
Neural representation of words within phrases: Temporal evolution of color-adjectives and object-nouns during simple composition. Description: Honari-Jahromi, Maryam, et al. Neural representation of words within phrases: Temporal evolution of color-adjectives and object-nouns during simple composition. ''PLoS One''. 2021; '''16''' (3):e0242754
Neuroimage Biomarker Identification of the Conversion of Mild Cognitive Impairment to Alzheimer's Disease. Description: Kung, Te-Han, et al. Neuroimage Biomarker Identification of the Conversion of Mild Cognitive Impairment to Alzheimer's Disease. ''Front Neurosci''. 2021; '''15''': 584641
Neuronal diversity and convergence in a visual system developmental atlas. Description: Ozel, Mehmet Neset, et al. Neuronal diversity and convergence in a visual system developmental atlas. ''Nature''. 2021 Jan; '''589''' (7840):88-95
Non-Lactobacillus-Dominated Vaginal Microbiota Is Associated With a Tubal Pregnancy in Symptomatic Chinese Women in the Early Stage of Pregnancy: A Nested Case-Control Study. Description: Ruan, Xiao-Feng, et al. Non-Lactobacillus-Dominated Vaginal Microbiota Is Associated With a Tubal Pregnancy in Symptomatic Chinese Women in the Early Stage of Pregnancy: A Nested Case-Control Study. ''Front Cell Infect Microbiol''. 2021; '''11''': 659505
Objective Assessment System for Hearing Prediction Based on Stimulus-Frequency Otoacoustic Emissions. Description: Gong, Qin, et al. Objective Assessment System for Hearing Prediction Based on Stimulus-Frequency Otoacoustic Emissions. ''Trends Hear''. 2021 Jan-Dec; '''25''': 23312165211059628
OnionNet-2: A Convolutional Neural Network Model for Predicting Protein-Ligand Binding Affinity Based on Residue-Atom Contacting Shells. Description: Wang, Zechen, et al. OnionNet-2: A Convolutional Neural Network Model for Predicting Protein-Ligand Binding Affinity Based on Residue-Atom Contacting Shells. ''Front Chem''. 2021; '''9''': 753002
Online Morphological Adaptation for Tactile Sensing Augmentation. Description: Hughes, Josie, et al. Online Morphological Adaptation for Tactile Sensing Augmentation. ''Front Robot AI''. 2021; '''8''': 665030
On transformative adaptive activation functions in neural networks for gene expression inference. Description: Kunc, Vladimir, et al. On transformative adaptive activation functions in neural networks for gene expression inference. ''PLoS One''. 2021; '''16''' (1):e0243915
Optimization methods for the imputation of missing values in Educational Institutions Data. Description: Aureli, D, et al. Optimization methods for the imputation of missing values in Educational Institutions Data. ''MethodsX''. 2021; '''8''': 101208
Pancreatic Serous Cystic Neoplasms and Mucinous Cystic Neoplasms: Differential Diagnosis by Combining Imaging Features and Enhanced CT Texture Analysis. Description: Chen, Hai-Yan, et al. Pancreatic Serous Cystic Neoplasms and Mucinous Cystic Neoplasms: Differential Diagnosis by Combining Imaging Features and Enhanced CT Texture Analysis. ''Front Oncol''. 2021; '''11''': 745001
PepVAE: Variational Autoencoder Framework for Antimicrobial Peptide Generation and Activity Prediction. Description: Dean, Scott N, et al. PepVAE: Variational Autoencoder Framework for Antimicrobial Peptide Generation and Activity Prediction. ''Front Microbiol''. 2021; '''12''': 725727
Performance of Regression Models as a Function of Experiment Noise. Description: Li, Gang, et al. Performance of Regression Models as a Function of Experiment Noise. ''Bioinform Biol Insights''. 2021; '''15''': 11779322211020315
Persistent homology as a new method of the assessment of heart rate variability. Description: Graff, Grzegorz, et al. Persistent homology as a new method of the assessment of heart rate variability. ''PLoS One''. 2021; '''16''' (7):e0253851
Personalized prediction of early childhood asthma persistence: A machine learning approach. Description: Bose, Saurav, et al. Personalized prediction of early childhood asthma persistence: A machine learning approach. ''PLoS One''. 2021; '''16''' (3):e0247784
PHOTONAI-A Python API for rapid machine learning model development. Description: Leenings, Ramona, et al. PHOTONAI-A Python API for rapid machine learning model development. ''PLoS One''. 2021; '''16''' (7):e0254062
PI Prob: A risk prediction and clinical guidance system for evaluating patients with recurrent infections. Description: Rider, Nicholas L, et al. PI Prob: A risk prediction and clinical guidance system for evaluating patients with recurrent infections. ''PLoS One''. 2021; '''16''' (2):e0237285
Pleiotropy and epistasis within and between signaling pathways defines the genetic architecture of fungal virulence. Description: Roth, Cullen, et al. Pleiotropy and epistasis within and between signaling pathways defines the genetic architecture of fungal virulence. ''PLoS Genet''. 2021 Jan; '''17''' (1):e1009313
Polysomal mRNA Association and Gene Expression in Trypanosoma brucei. Description: Tinti, Michele, et al. Polysomal mRNA Association and Gene Expression in Trypanosoma brucei. ''Wellcome Open Res''. 2021; '''6''': 36
Portable Diagnostic System for Age-Related Macular Degeneration Screening Using Visual Evoked Potentials. Description: Versek, Craig, et al. Portable Diagnostic System for Age-Related Macular Degeneration Screening Using Visual Evoked Potentials. ''Eye Brain''. 2021; '''13''': 111-127
Predicting Age From Behavioral Test Performance for Screening Early Onset of Cognitive Decline. Description: Statsenko, Yauhen, et al. Predicting Age From Behavioral Test Performance for Screening Early Onset of Cognitive Decline. ''Front Aging Neurosci''. 2021; '''13''': 661514
Predicting aptamer sequences that interact with target proteins using an aptamer-protein interaction classifier and a Monte Carlo tree search approach. Description: Lee, Gwangho, et al. Predicting aptamer sequences that interact with target proteins using an aptamer-protein interaction classifier and a Monte Carlo tree search approach. ''PLoS One''. 2021; '''16''' (6):e0253760
Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability. Description: Ballester, Pedro L, et al. Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability. ''Front Psychiatry''. 2021; '''12''': 598518
Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases. Description: Wu, Jianfeng, et al. Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases. ''Front Neurosci''. 2021; '''15''': 669595
Predicting direct and indirect non-target impacts of biocontrol agents using machine-learning approaches. Description: Kotula, Hannah J, et al. Predicting direct and indirect non-target impacts of biocontrol agents using machine-learning approaches. ''PLoS One''. 2021; '''16''' (6):e0252448
Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study. Description: Eder, Stephanie Josephine, et al. Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study. ''PLoS One''. 2021; '''16''' (3):e0247997
Predicting host dependency factors of pathogens in Drosophila melanogaster using machine learning. Description: Aromolaran, Olufemi, et al. Predicting host dependency factors of pathogens in Drosophila melanogaster using machine learning. ''Comput Struct Biotechnol J''. 2021; '''19''': 4581-4592
Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features. Description: Chen, Lei, et al. Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features. ''Front Genet''. 2021; '''12''': 783128
Predicting Lyme Disease From Patients' Peripheral Blood Mononuclear Cells Profiled With RNA-Sequencing. Description: Clarke, Daniel J B, et al. Predicting Lyme Disease From Patients' Peripheral Blood Mononuclear Cells Profiled With RNA-Sequencing. ''Front Immunol''. 2021; '''12''': 636289
Predicting malaria epidemics in Burkina Faso with machine learning. Description: Harvey, David, et al. Predicting malaria epidemics in Burkina Faso with machine learning. ''PLoS One''. 2021; '''16''' (6):e0253302
Predicting mortality among patients with liver cirrhosis in electronic health records with machine learning. Description: Guo, Aixia, et al. Predicting mortality among patients with liver cirrhosis in electronic health records with machine learning. ''PLoS One''. 2021; '''16''' (8):e0256428
Predicting outcome of daycare cognitive behavioural therapy in a naturalistic sample of patients with PTSD: a machine learning approach. Description: Stuke, Heiner, et al. Predicting outcome of daycare cognitive behavioural therapy in a naturalistic sample of patients with PTSD: a machine learning approach. ''Eur J Psychotraumatol''. 2021; '''12''' (1):1958471
Predicting Protein-Protein Interactions Between Rice and Blast Fungus Using Structure-Based Approaches. Description: Zheng, Cunjian, et al. Predicting Protein-Protein Interactions Between Rice and Blast Fungus Using Structure-Based Approaches. ''Front Plant Sci''. 2021; '''12''': 690124
Predicting psoriasis using routine laboratory tests with random forest. Description: Zhou, Jing, et al. Predicting psoriasis using routine laboratory tests with random forest. ''PLoS One''. 2021; '''16''' (10):e0258768
Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques. Description: Ho, Indy Man Kit, et al. Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques. ''PLoS One''. 2021; '''16''' (4):e0249423
Predicting Success of a Digital Self-Help Intervention for Alcohol and Substance Use With Machine Learning. Description: Ramos, Lucas A, et al. Predicting Success of a Digital Self-Help Intervention for Alcohol and Substance Use With Machine Learning. ''Front Psychol''. 2021; '''12''': 734633
Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach. Description: Weller, Orion, et al. Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach. ''PLoS One''. 2021; '''16''' (11):e0258535
Predicting Survival Duration With MRI Radiomics of Brain Metastases From Non-small Cell Lung Cancer. Description: Chen, Bihong T, et al. Predicting Survival Duration With MRI Radiomics of Brain Metastases From Non-small Cell Lung Cancer. ''Front Oncol''. 2021; '''11''': 621088
Predicting Survival of Patients With Rectal Neuroendocrine Tumors Using Machine Learning: A SEER-Based Population Study. Description: Cheng, Xiaoyun, et al. Predicting Survival of Patients With Rectal Neuroendocrine Tumors Using Machine Learning: A SEER-Based Population Study. ''Front Surg''. 2021; '''8''': 745220
Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data. Description: De Souza, Fernanda Sumika Hojo, et al. Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data. ''Front Artif Intell''. 2021; '''4''': 579931
Predicting the postoperative blood coagulation state of children with congenital heart disease by machine learning based on real-world data. Description: Guo, Kai, et al. Predicting the postoperative blood coagulation state of children with congenital heart disease by machine learning based on real-world data. ''Transl Pediatr''. 2021 Jan; '''10''' (1):33-43
Predicting Tyrosine Kinase Inhibitor Treatment Response in Stage IV Lung Adenocarcinoma Patients With EGFR Mutation Using Model-Based Deep Transfer Learning. Description: Hou, Runping, et al. Predicting Tyrosine Kinase Inhibitor Treatment Response in Stage IV Lung Adenocarcinoma Patients With EGFR Mutation Using Model-Based Deep Transfer Learning. ''Front Oncol''. 2021; '''11''': 679764
Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms. Description: Lin, Xinping, et al. Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms. ''Front Neurol''. 2021; '''12''': 761092
Prediction of EGFR Mutation Status Based on (18)F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung Adenocarcinoma. Description: Yin, Guotao, et al. Prediction of EGFR Mutation Status Based on (18)F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung Adenocarcinoma. ''Front Oncol''. 2021; '''11''': 709137
Prediction of Freezing of Gait in Parkinson's Disease Using a Random Forest Model Based on an Orthogonal Experimental Design: A Pilot Study. Description: Chen, Zhonelue, et al. Prediction of Freezing of Gait in Parkinson's Disease Using a Random Forest Model Based on an Orthogonal Experimental Design: A Pilot Study. ''Front Hum Neurosci''. 2021; '''15''': 636414
Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning. Description: Bharti, Rohit, et al. Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning. ''Comput Intell Neurosci''. 2021; '''2021''': 8387680
Prediction of HIV drug resistance based on the 3D protein structure: Proposal of molecular field mapping. Description: Ota, Ryosaku, et al. Prediction of HIV drug resistance based on the 3D protein structure: Proposal of molecular field mapping. ''PLoS One''. 2021; '''16''' (8):e0255693
Prediction of Lymph-Node Metastasis in Cancers Using Differentially Expressed mRNA and Non-coding RNA Signatures. Description: Zhang, Shihua, et al. Prediction of Lymph-Node Metastasis in Cancers Using Differentially Expressed mRNA and Non-coding RNA Signatures. ''Front Cell Dev Biol''. 2021; '''9''': 605977
Prediction of trust propensity from intrinsic brain morphology and functional connectome. Description: Feng, Chunliang, et al. Prediction of trust propensity from intrinsic brain morphology and functional connectome. ''Hum Brain Mapp''. 2021 Jan; '''42''' (1):175-191
Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer. Description: Huang, Yuhong, et al. Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer. ''Front Bioeng Biotechnol''. 2021; '''9''': 662749
Predictive models for cochlear implant outcomes: Performance, generalizability, and the impact of cohort size. Description: Shafieibavani, Elaheh, et al. Predictive models for cochlear implant outcomes: Performance, generalizability, and the impact of cohort size. ''Trends Hear''. 2021 Jan-Dec; '''25''': 23312165211066174
Predictors of tooth loss: A machine learning approach. Description: Elani, Hawazin W, et al. Predictors of tooth loss: A machine learning approach. ''PLoS One''. 2021; '''16''' (6):e0252873
Preoperative Assessment for Event-Free Survival With Hepatoblastoma in Pediatric Patients by Developing a CT-Based Radiomics Model. Description: Jiang, Yi, et al. Preoperative Assessment for Event-Free Survival With Hepatoblastoma in Pediatric Patients by Developing a CT-Based Radiomics Model. ''Front Oncol''. 2021; '''11''': 644994
Preoperative Prediction of Cytokeratin 19 Expression for Hepatocellular Carcinoma with Deep Learning Radiomics Based on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging. Description: Chen, Yuying, et al. Preoperative Prediction of Cytokeratin 19 Expression for Hepatocellular Carcinoma with Deep Learning Radiomics Based on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging. ''J Hepatocell Carcinoma''. 2021; '''8''': 795-808
Preoperative Prediction of Lymphovascular Space Invasion in Cervical Cancer With Radiomics -Based Nomogram. Description: Du, Wei, et al. Preoperative Prediction of Lymphovascular Space Invasion in Cervical Cancer With Radiomics -Based Nomogram. ''Front Oncol''. 2021; '''11''': 637794
Pre-Operative Prediction of Mediastinal Node Metastasis Using Radiomics Model Based on (18)F-FDG PET/CT of the Primary Tumor in Non-Small Cell Lung Cancer Patients. Description: Zheng, Kai, et al. Pre-Operative Prediction of Mediastinal Node Metastasis Using Radiomics Model Based on (18)F-FDG PET/CT of the Primary Tumor in Non-Small Cell Lung Cancer Patients. ''Front Med (Lausanne)''. 2021; '''8''': 673876
Probing the neural signature of mind wandering with simultaneous fMRI-EEG and pupillometry. Description: Groot, Josephine M, et al. Probing the neural signature of mind wandering with simultaneous fMRI-EEG and pupillometry. ''Neuroimage''. 2021 Jan 1; '''224''': 117412
Profiling of Oral Microbiota and Cytokines in COVID-19 Patients. Description: Iebba, Valerio, et al. Profiling of Oral Microbiota and Cytokines in COVID-19 Patients. ''Front Microbiol''. 2021; '''12''': 671813
Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential. Description: Suvarna, Kruthi, et al. Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential. ''Front Physiol''. 2021; '''12''': 652799
Public Perception of the Fifth Generation of Cellular Networks (5G) on Social Media. Description: Dashtipour, Kia, et al. Public Perception of the Fifth Generation of Cellular Networks (5G) on Social Media. ''Front Big Data''. 2021; '''4''': 640868
Pyroptosis-Related Gene Signatures Can Robustly Diagnose Skin Cutaneous Melanoma and Predict the Prognosis. Description: Ju, Anji, et al. Pyroptosis-Related Gene Signatures Can Robustly Diagnose Skin Cutaneous Melanoma and Predict the Prognosis. ''Front Oncol''. 2021; '''11''': 709077
Quantifying Voice Characteristics for Detecting Autism. Description: Asgari, Meysam, et al. Quantifying Voice Characteristics for Detecting Autism. ''Front Psychol''. 2021; '''12''': 665096
Quantitative analysis of piano performance proficiency focusing on difference between hands. Description: Kim, Sarah, et al. Quantitative analysis of piano performance proficiency focusing on difference between hands. ''PLoS One''. 2021; '''16''' (5):e0250299
Quantitative differences between intra-host HCV populations from persons with recently established and persistent infections. Description: Icer Baykal, Pelin B, et al. Quantitative differences between intra-host HCV populations from persons with recently established and persistent infections. ''Virus Evol''. 2021 Jan; '''7''' (1):veaa103
Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based Radiomics. Description: Li, Jiaru, et al. Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based Radiomics. ''Front Oncol''. 2021; '''11''': 702055
Quantitative Structure-Activity Relationship Modeling of the Amplex Ultrared Assay to Predict Thyroperoxidase Inhibitory Activity. Description: Gadaleta, Domenico, et al. Quantitative Structure-Activity Relationship Modeling of the Amplex Ultrared Assay to Predict Thyroperoxidase Inhibitory Activity. ''Front Pharmacol''. 2021; '''12''': 713037
Radiomics Feature Analysis of Cartilage and Subchondral Bone in Differentiating Knees Predisposed to Posttraumatic Osteoarthritis after Anterior Cruciate Ligament Reconstruction from Healthy Knees. Description: Xie, Yuxue, et al. Radiomics Feature Analysis of Cartilage and Subchondral Bone in Differentiating Knees Predisposed to Posttraumatic Osteoarthritis after Anterior Cruciate Ligament Reconstruction from Healthy Knees. ''Biomed Res Int''. 2021; '''2021''': 4351499
Radiomics Nomogram for Identifying Sub-1 cm Benign and Malignant Thyroid Lesions. Description: Wu, Xinxin, et al. Radiomics Nomogram for Identifying Sub-1 cm Benign and Malignant Thyroid Lesions. ''Front Oncol''. 2021; '''11''': 580886
Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study. Description: Lonini, Luca, et al. Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study. ''IEEE J Transl Eng Health Med''. 2021; '''9''': 4900311
Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model. Description: Udristoiu, Anca Loredana, et al. Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model. ''PLoS One''. 2021; '''16''' (6):e0251701
Reconstruction of Three-Dimensional Conformations of Bacterial ClpB from High-Speed Atomic-Force-Microscopy Images. Description: Dasgupta, Bhaskar, et al. Reconstruction of Three-Dimensional Conformations of Bacterial ClpB from High-Speed Atomic-Force-Microscopy Images. ''Front Mol Biosci''. 2021; '''8''': 704274
Regional Cortical Thickness Predicts Top Cognitive Performance in the Elderly. Description: Dominguez, Elena Nicole, et al. Regional Cortical Thickness Predicts Top Cognitive Performance in the Elderly. ''Front Aging Neurosci''. 2021; '''13''': 751375
Regional performance variation in external validation of four prediction models for severity of COVID-19 at hospital admission: An observational multi-centre cohort study. Description: Wickstrom, Kristin E, et al. Regional performance variation in external validation of four prediction models for severity of COVID-19 at hospital admission: An observational multi-centre cohort study. ''PLoS One''. 2021; '''16''' (8):e0255748
Registration of spatio-temporal point clouds of plants for phenotyping. Description: Chebrolu, Nived, et al. Registration of spatio-temporal point clouds of plants for phenotyping. ''PLoS One''. 2021; '''16''' (2):e0247243
Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across Time and Subjects. Description: Zhou, Qing, et al. Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across Time and Subjects. ''Front Hum Neurosci''. 2021; '''15''': 701091
Replicating prediction algorithms for hospitalization and corticosteroid use in patients with inflammatory bowel disease. Description: Gan, Ryan W, et al. Replicating prediction algorithms for hospitalization and corticosteroid use in patients with inflammatory bowel disease. ''PLoS One''. 2021; '''16''' (9):e0257520
*Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STARD and CAN-BIND-1.** Description: Nunez, John-Jose, et al. Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1. ''PLoS One''. 2021; '''16''' (6):e0253023
Risk of rapid evolutionary escape from biomedical interventions targeting SARS-CoV-2 spike protein. Description: Van Egeren, Debra, et al. Risk of rapid evolutionary escape from biomedical interventions targeting SARS-CoV-2 spike protein. ''PLoS One''. 2021; '''16''' (4):e0250780
RNAmining: A machine learning stand-alone and web server tool for RNA coding potential prediction. Description: Ramos, Thais A R, et al. RNAmining: A machine learning stand-alone and web server tool for RNA coding potential prediction. ''F1000Res''. 2021; '''10''': 323
Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style. Description: Eder, Stephanie J, et al. Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style. ''Front Psychol''. 2021; '''12''': 647956
Selective oversampling approach for strongly imbalanced data. Description: Gnip, Peter, et al. Selective oversampling approach for strongly imbalanced data. ''PeerJ Comput Sci''. 2021; '''7''': e604
Semantic Changepoint Detection for Finding Potentially Novel Research Publications. Description: Dinakar, Bhavish, et al. Semantic Changepoint Detection for Finding Potentially Novel Research Publications. ''Pac Symp Biocomput''. 2021; '''26''': 107-118
Semi-automated NMR Pipeline for Environmental Exposures: New Insights on the Metabolomics of Smokers versus Non-smokers. Description: Aguilar, Morris A, et al. Semi-automated NMR Pipeline for Environmental Exposures: New Insights on the Metabolomics of Smokers versus Non-smokers. ''Pac Symp Biocomput''. 2021; '''26''': 316-327
Sentiment classification for employees reviews using regression vector- stochastic gradient descent classifier (RV-SGDC). Description: Gaye, Babacar, et al. Sentiment classification for employees reviews using regression vector- stochastic gradient descent classifier (RV-SGDC). ''PeerJ Comput Sci''. 2021; '''7''': e712
Shared Molecular Mechanisms between Alzheimer's Disease and Periodontitis Revealed by Transcriptomic Analysis. Description: Jin, Jieqi, et al. Shared Molecular Mechanisms between Alzheimer's Disease and Periodontitis Revealed by Transcriptomic Analysis. ''Biomed Res Int''. 2021; '''2021''': 6633563
Similarity and Potential Relation Between Periimplantitis and Rheumatoid Arthritis on Transcriptomic Level: Results of a Bioinformatics Study. Description: Li, Shiyi, et al. Similarity and Potential Relation Between Periimplantitis and Rheumatoid Arthritis on Transcriptomic Level: Results of a Bioinformatics Study. ''Front Immunol''. 2021; '''12''': 702661
Spatial protein heterogeneity analysis in frozen tissues to evaluate tumor heterogeneity. Description: Fomitcheva-Khartchenko, Anna, et al. Spatial protein heterogeneity analysis in frozen tissues to evaluate tumor heterogeneity. ''PLoS One''. 2021; '''16''' (11):e0259332
SSMFN: a fused spatial and sequential deep learning model for methylation site prediction. Description: Lumbanraja, Favorisen Rosyking, et al. SSMFN: a fused spatial and sequential deep learning model for methylation site prediction. ''PeerJ Comput Sci''. 2021; '''7''': e683
Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation. Description: Guijo-Rubio, David, et al. Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation. ''PLoS One''. 2021; '''16''' (5):e0252068
Subgroup-Independent Mapping of Renal Cell Carcinoma-Machine Learning Reveals Prognostic Mitochondrial Gene Signature Beyond Histopathologic Boundaries. Description: Marquardt, Andre, et al. Subgroup-Independent Mapping of Renal Cell Carcinoma-Machine Learning Reveals Prognostic Mitochondrial Gene Signature Beyond Histopathologic Boundaries. ''Front Oncol''. 2021; '''11''': 621278
Supervised machine learning for automated classification of human Wharton's Jelly cells and mechanosensory hair cells. Description: Kothapalli, Abihith, et al. Supervised machine learning for automated classification of human Wharton's Jelly cells and mechanosensory hair cells. ''PLoS One''. 2021; '''16''' (1):e0245234
Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium. Description: Cai, Li, et al. Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium. ''R Soc Open Sci''. 2021 Jan; '''8''' (1):201121
T cell receptor repertoire as a potential diagnostic marker for celiac disease. Description: Yao, Ying, et al. T cell receptor repertoire as a potential diagnostic marker for celiac disease. ''Clin Immunol''. 2021 Jan; '''222''': 108621
Team numerical advantage in Australian rules football: A missing piece of the scoring puzzle? Description: Alexander, Jeremy P, et al. Team numerical advantage in Australian rules football: A missing piece of the scoring puzzle? ''PLoS One''. 2021; '''16''' (7):e0254591
Texture Analysis of Three-Dimensional MRI Images May Differentiate Borderline and Malignant Epithelial Ovarian Tumors. Description: Ye, Rongping, et al. Texture Analysis of Three-Dimensional MRI Images May Differentiate Borderline and Malignant Epithelial Ovarian Tumors. ''Korean J Radiol''. 2021 Jan; '''22''' (1):106-117
The classification of skateboarding tricks via transfer learning pipelines. Description: Abdullah, Muhammad Amirul, et al. The classification of skateboarding tricks via transfer learning pipelines. ''PeerJ Comput Sci''. 2021; '''7''': e680
The Erlang distribution approximates the age distribution of incidence of childhood and young adulthood cancers. Description: Belikov, Aleksey V, et al. The Erlang distribution approximates the age distribution of incidence of childhood and young adulthood cancers. ''PeerJ''. 2021; '''9''': e11976
Thermographic imaging of mouse across circadian time reveals body surface temperature elevation associated with non-locomotor body movements. Description: Shimatani, Hiroyuki, et al. Thermographic imaging of mouse across circadian time reveals body surface temperature elevation associated with non-locomotor body movements. ''PLoS One''. 2021; '''16''' (5):e0252447
The Subarachnoid Hemorrhage-Weather Myth: A Long-Term Big Data and Deep Learning Analysis. Description: Helsper, Moritz, et al. The Subarachnoid Hemorrhage-Weather Myth: A Long-Term Big Data and Deep Learning Analysis. ''Front Neurol''. 2021; '''12''': 653483
Three-Dimensional Live Imaging of Bovine Preimplantation Embryos: A New Method for IVF Embryo Evaluation. Description: Masuda, Yasumitsu, et al. Three-Dimensional Live Imaging of Bovine Preimplantation Embryos: A New Method for IVF Embryo Evaluation. ''Front Vet Sci''. 2021; '''8''': 639249
Topological Data Analysis Highlights Novel Geographical Signatures of the Human Gut Microbiome. Description: Lymberopoulos, Eva, et al. Topological Data Analysis Highlights Novel Geographical Signatures of the Human Gut Microbiome. ''Front Artif Intell''. 2021; '''4''': 680564
Topological representations of crystalline compounds for the machine-learning prediction of materials properties. Description: Jiang, Yi, et al. Topological representations of crystalline compounds for the machine-learning prediction of materials properties. ''NPJ Comput Mater''. 2021; '''7''':
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods. Description: Amparore, Elvio, et al. To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods. ''PeerJ Comput Sci''. 2021; '''7''': e479
Toward fault tolerant modelling for SCADA based electricity distribution networks, machine learning approach. Description: Masri, Aladdin, et al. Toward fault tolerant modelling for SCADA based electricity distribution networks, machine learning approach. ''PeerJ Comput Sci''. 2021; '''7''': e554
Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep Learning. Description: Muffoletto, Marica, et al. Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep Learning. ''Front Physiol''. 2021; '''12''': 674106
Tracking conflict and emotions with a computational qualitative discourse analytic support approach. Description: Rybak, Nikodem, et al. Tracking conflict and emotions with a computational qualitative discourse analytic support approach. ''PLoS One''. 2021; '''16''' (5):e0251186
Transcriptomics of Differential Ripening in 'd'Anjou' Pear (Pyrus communis L.). Description: Honaas, Loren, et al. Transcriptomics of Differential Ripening in 'd'Anjou' Pear (Pyrus communis L.). ''Front Plant Sci''. 2021; '''12''': 609684
Understanding interactions between risk factors, and assessing the utility of the additive and multiplicative models through simulations. Description: Diaz-Gallo, Lina-Marcela, et al. Understanding interactions between risk factors, and assessing the utility of the additive and multiplicative models through simulations. ''PLoS One''. 2021; '''16''' (4):e0250282
Unearthing of Key Genes Driving the Pathogenesis of Alzheimer's Disease via Bioinformatics. Description: Zhao, Xingxing, et al. Unearthing of Key Genes Driving the Pathogenesis of Alzheimer's Disease via Bioinformatics. ''Front Genet''. 2021; '''12''': 641100
Unraveling reproducible dynamic states of individual brain functional parcellation. Description: Boukhdhir, Amal, et al. Unraveling reproducible dynamic states of individual brain functional parcellation. ''Netw Neurosci''. 2021; '''5''' (1):28-55
Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan. Description: Rasheed, Muneera A, et al. Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan. ''PLoS One''. 2021; '''16''' (2):e0246236
Use of Machine Learning to Screen for Acute Respiratory Distress Syndrome Using Raw Ventilator Waveform Data. Description: Rehm, Gregory B, et al. Use of Machine Learning to Screen for Acute Respiratory Distress Syndrome Using Raw Ventilator Waveform Data. ''Crit Care Explor''. 2021 Jan; '''3''' (1):e0313
Use of relevancy and complementary information for discriminatory gene selection from high-dimensional gene expression data. Description: Haque, Md Nazmul, et al. Use of relevancy and complementary information for discriminatory gene selection from high-dimensional gene expression data. ''PLoS One''. 2021; '''16''' (10):e0230164
Using Base-ml to Learn Classification of Common Vestibular Disorders on DizzyReg Registry Data. Description: Vivar, Gerome, et al. Using Base-ml to Learn Classification of Common Vestibular Disorders on DizzyReg Registry Data. ''Front Neurol''. 2021; '''12''': 681140
Using Machine Learning for Predicting the Best Outcomes With Electrical Muscle Stimulation for Tremors in Parkinson's Disease. Description: Phokaewvarangkul, Onanong, et al. Using Machine Learning for Predicting the Best Outcomes With Electrical Muscle Stimulation for Tremors in Parkinson's Disease. ''Front Aging Neurosci''. 2021; '''13''': 727654
Using of n-grams from morphological tags for fake news classification. Description: Kapusta, Jozef, et al. Using of n-grams from morphological tags for fake news classification. ''PeerJ Comput Sci''. 2021; '''7''': e624
Visualizing Oscillations in Brain Slices With Genetically Encoded Voltage Indicators. Description: Rhee, Jun Kyu, et al. Visualizing Oscillations in Brain Slices With Genetically Encoded Voltage Indicators. ''Front Neuroanat''. 2021; '''15''': 741711
Wave Intensity Analysis Combined With Machine Learning can Detect Impaired Stroke Volume in Simulations of Heart Failure. Description: Reavette, Ryan M, et al. Wave Intensity Analysis Combined With Machine Learning can Detect Impaired Stroke Volume in Simulations of Heart Failure. ''Front Bioeng Biotechnol''. 2021; '''9''': 737055
Whether the weather will help us weather the COVID-19 pandemic: Using machine learning to measure twitter users' perceptions. Description: Gupta, Marichi, et al. Whether the weather will help us weather the COVID-19 pandemic: Using machine learning to measure twitter users' perceptions. ''Int J Med Inform''. 2021 Jan; '''145''': 104340
A Wrist Sensor Sleep Posture Monitoring System: An Automatic Labeling Approach. Description: Jeng, Po-Yuan, et al. A Wrist Sensor Sleep Posture Monitoring System: An Automatic Labeling Approach. ''Sensors (Basel)''. 2021 Jan 2; '''21''' (1):
Automatic Resting Tremor Assessment in Parkinson's Disease Using Smartwatches and Multitask Convolutional Neural Networks. Description: Sigcha, Luis, et al. Automatic Resting Tremor Assessment in Parkinson's Disease Using Smartwatches and Multitask Convolutional Neural Networks. ''Sensors (Basel)''. 2021 Jan 4; '''21''' (1):
Development and Validation of a Deep Learning Model to Quantify Glomerulosclerosis in Kidney Biopsy Specimens. Description: Marsh, Jon N, et al. Development and Validation of a Deep Learning Model to Quantify Glomerulosclerosis in Kidney Biopsy Specimens. ''JAMA Netw Open''. 2021 Jan 4; '''4''' (1):e2030939
Fast automated detection of COVID-19 from medical images using convolutional neural networks. Description: Liang, Shuang, et al. Fast automated detection of COVID-19 from medical images using convolutional neural networks. ''Commun Biol''. 2021 Jan 4; '''4''' (1):35
Machine learning enables design automation of microfluidic flow-focusing droplet generation. Description: Lashkaripour, Ali, et al. Machine learning enables design automation of microfluidic flow-focusing droplet generation. ''Nat Commun''. 2021 Jan 4; '''12''' (1):25
Transcriptional and morphological profiling of parvalbumin interneuron subpopulations in the mouse hippocampus. Description: Que, Lin, et al. Transcriptional and morphological profiling of parvalbumin interneuron subpopulations in the mouse hippocampus. ''Nat Commun''. 2021 Jan 4; '''12''' (1):108
Using Interactome Big Data to Crack Genetic Mysteries and Enhance Future Crop Breeding. Description: Wu, Leiming, et al. Using Interactome Big Data to Crack Genetic Mysteries and Enhance Future Crop Breeding. ''Mol Plant''. 2021 Jan 4; '''14''' (1):77-94
Crosstalk between codon optimality and cis-regulatory elements dictates mRNA stability. Description: Medina-Munoz, Santiago Gerardo, et al. Crosstalk between codon optimality and cis-regulatory elements dictates mRNA stability. ''Genome Biol''. 2021 Jan 5; '''22''' (1):14
Lipid-Composition-Mediated Forces Can Stabilize Tubular Assemblies of I-BAR Proteins. Description: Jarin, Zack, et al. Lipid-Composition-Mediated Forces Can Stabilize Tubular Assemblies of I-BAR Proteins. ''Biophys J''. 2021 Jan 5; '''120''' (1):46-54
Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach. Description: Xu, Ming, et al. Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach. ''J Med Internet Res''. 2021 Jan 6; '''23''' (1):e25535
A Promising Wearable Solution for the Practical and Accurate Monitoring of Low Back Loading in Manual Material Handling. Description: Matijevich, Emily S, et al. A Promising Wearable Solution for the Practical and Accurate Monitoring of Low Back Loading in Manual Material Handling. ''Sensors (Basel)''. 2021 Jan 6; '''21''' (2):
Extracellular DNA Correlates with Intestinal Inflammation in Chemically Induced Colitis in Mice. Description: Maronek, Martin, et al. Extracellular DNA Correlates with Intestinal Inflammation in Chemically Induced Colitis in Mice. ''Cells''. 2021 Jan 6; '''10''' (1):
PCirc: random forest-based plant circRNA identification software. Description: Yin, Shuwei, et al. PCirc: random forest-based plant circRNA identification software. ''BMC Bioinformatics''. 2021 Jan 6; '''22''' (1):10
Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models. Description: Guo, Aixia, et al. Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models. ''BMC Med Inform Decis Mak''. 2021 Jan 6; '''21''' (1):5
ProtyQuant: Comparing label-free shotgun proteomics datasets using accumulated peptide probabilities. Description: Winkler, Robert. ProtyQuant: Comparing label-free shotgun proteomics datasets using accumulated peptide probabilities. ''J Proteomics''. 2021 Jan 6; '''230''': 103985
Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET. Description: Pfaehler, Elisabeth, et al. Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET. ''EJNMMI Res''. 2021 Jan 6; '''11''' (1):4
Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy. Description: Chiu, I-Min, et al. Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy. ''Diagnostics (Basel)''. 2021 Jan 6; '''11''' (1):
Improving Detection of Disease Re-emergence Using a Web-Based Tool (RED Alert): Design and Case Analysis Study. Description: Parikh, Nidhi, et al. Improving Detection of Disease Re-emergence Using a Web-Based Tool (RED Alert): Design and Case Analysis Study. ''JMIR Public Health Surveill''. 2021 Jan 7; '''7''' (1):e24132
Predicting chemosensitivity using drug perturbed gene dynamics. Description: Mannheimer, Joshua D, et al. Predicting chemosensitivity using drug perturbed gene dynamics. ''BMC Bioinformatics''. 2021 Jan 7; '''22''' (1):15
Quantitative profiling of N(6)-methyladenosine at single-base resolution in stem-differentiating xylem of Populus trichocarpa using Nanopore direct RNA sequencing. Description: Gao, Yubang, et al. Quantitative profiling of N(6)-methyladenosine at single-base resolution in stem-differentiating xylem of Populus trichocarpa using Nanopore direct RNA sequencing. ''Genome Biol''. 2021 Jan 7; '''22''' (1):22
An Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction. Description: Wen, Tengteng, et al. An Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction. ''Sensors (Basel)''. 2021 Jan 8; '''21''' (2):
DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensors in Real-Life Deployments-A Case Study in the Smart Lab of The University of Almeria. Description: Lupion, Marcos, et al. DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensors in Real-Life Deployments-A Case Study in the Smart Lab of The University of Almeria. ''Sensors (Basel)''. 2021 Jan 8; '''21''' (2):
iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning. Description: Rychel, Kevin, et al. iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning. ''Nucleic Acids Res''. 2021 Jan 8; '''49''' (D1):D112-D120
Intraoperative Perfusion Assessment in Enhanced Reality Using Quantitative Optical Imaging: An Experimental Study in a Pancreatic Partial Ischemia Model. Description: Wakabayashi, Taiga, et al. Intraoperative Perfusion Assessment in Enhanced Reality Using Quantitative Optical Imaging: An Experimental Study in a Pancreatic Partial Ischemia Model. ''Diagnostics (Basel)''. 2021 Jan 8; '''11''' (1):
PROMISCUOUS 2.0: a resource for drug-repositioning. Description: Gallo, Kathleen, et al. PROMISCUOUS 2.0: a resource for drug-repositioning. ''Nucleic Acids Res''. 2021 Jan 8; '''49''' (D1):D1373-D1380
SIMON: Open-Source Knowledge Discovery Platform. Description: Tomic, Adriana, et al. SIMON: Open-Source Knowledge Discovery Platform. ''Patterns (N Y)''. 2021 Jan 8; '''2''' (1):100178
Sleep classification from wrist-worn accelerometer data using random forests. Description: Sundararajan, Kalaivani, et al. Sleep classification from wrist-worn accelerometer data using random forests. ''Sci Rep''. 2021 Jan 8; '''11''' (1):24
The antiSMASH database version 3: increased taxonomic coverage and new query features for modular enzymes. Description: Blin, Kai, et al. The antiSMASH database version 3: increased taxonomic coverage and new query features for modular enzymes. ''Nucleic Acids Res''. 2021 Jan 8; '''49''' (D1):D639-D643
Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise. Description: Corona, Laura L, et al. Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise. ''J Autism Dev Disord''. 2021 Jan 8;
Utilizing Amino Acid Composition and Entropy of Potential Open Reading Frames to Identify Protein-Coding Genes. Description: McNair, Katelyn, et al. Utilizing Amino Acid Composition and Entropy of Potential Open Reading Frames to Identify Protein-Coding Genes. ''Microorganisms''. 2021 Jan 8; '''9''' (1):
Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients. Description: Wojtusiak, Janusz, et al. Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients. ''BMC Med Inform Decis Mak''. 2021 Jan 9; '''21''' (1):17
GPR55 Receptor Activation by the N-Acyl Dopamine Family Lipids Induces Apoptosis in Cancer Cells via the Nitric Oxide Synthase (nNOS) Over-Stimulation. Description: Akimov, Mikhail G, et al. GPR55 Receptor Activation by the N-Acyl Dopamine Family Lipids Induces Apoptosis in Cancer Cells via the Nitric Oxide Synthase (nNOS) Over-Stimulation. ''Int J Mol Sci''. 2021 Jan 9; '''22''' (2):
Profiling and analysis of chemical compounds using pointwise mutual information. Description: Cmelo, I, et al. Profiling and analysis of chemical compounds using pointwise mutual information. ''J Cheminform''. 2021 Jan 10; '''13''' (1):3
Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notes. Description: Boag, William, et al. Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notes. ''Transl Psychiatry''. 2021 Jan 11; '''11''' (1):32
PVT1 signals an androgen-dependent transcriptional repression program in prostate cancer cells and a set of the repressed genes predicts high-risk tumors. Description: Videira, Alexandre, et al. PVT1 signals an androgen-dependent transcriptional repression program in prostate cancer cells and a set of the repressed genes predicts high-risk tumors. ''Cell Commun Signal''. 2021 Jan 11; '''19''' (1):5
Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neurons. Description: Xie, Qijing, et al. Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neurons. ''Elife''. 2021 Jan 11; '''10''':
A novel retinal ganglion cell quantification tool based on deep learning. Description: Masin, Luca, et al. A novel retinal ganglion cell quantification tool based on deep learning. ''Sci Rep''. 2021 Jan 12; '''11''' (1):702
FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance. Description: Aglieri, Virginia, et al. FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance. ''Sci Rep''. 2021 Jan 12; '''11''' (1):489
Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor sets. Description: Abdelbaky, Ibrahim, et al. Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor sets. ''Sci Rep''. 2021 Jan 12; '''11''' (1):706
Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent Machines. Description: Alsaihati, Ahmed, et al. Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent Machines. ''ACS Omega''. 2021 Jan 12; '''6''' (1):934-942
BiG-SLiCE: A highly scalable tool maps the diversity of 1.2 million biosynthetic gene clusters. Description: Kautsar, Satria A, et al. BiG-SLiCE: A highly scalable tool maps the diversity of 1.2 million biosynthetic gene clusters. ''Gigascience''. 2021 Jan 13; '''10''' (1):
Current cancer driver variant predictors learn to recognize driver genes instead of functional variants. Description: Raimondi, Daniele, et al. Current cancer driver variant predictors learn to recognize driver genes instead of functional variants. ''BMC Biol''. 2021 Jan 13; '''19''' (1):3
Dynamic blood flow phantom for in vivo liquid biopsy standardization. Description: Kozlova, Anastasiia, et al. Dynamic blood flow phantom for in vivo liquid biopsy standardization. ''Sci Rep''. 2021 Jan 13; '''11''' (1):1185
Prediction of lithium response using genomic data. Description: Stone, William, et al. Prediction of lithium response using genomic data. ''Sci Rep''. 2021 Jan 13; '''11''' (1):1155
Towards a common template for neural reinforcement of finger individuation. Description: Kilmarx, Justin, et al. Towards a common template for neural reinforcement of finger individuation. ''Sci Rep''. 2021 Jan 13; '''11''' (1):1065
Deep learning identifies partially overlapping subnetworks in the human social brain. Description: Kiesow, Hannah, et al. Deep learning identifies partially overlapping subnetworks in the human social brain. ''Commun Biol''. 2021 Jan 14; '''4''' (1):65
Predicting bacteriophage hosts based on sequences of annotated receptor-binding proteins. Description: Boeckaerts, Dimitri, et al. Predicting bacteriophage hosts based on sequences of annotated receptor-binding proteins. ''Sci Rep''. 2021 Jan 14; '''11''' (1):1467
Prediction of Postoperative Complications for Patients of End Stage Renal Disease. Description: Jeong, Young-Seob, et al. Prediction of Postoperative Complications for Patients of End Stage Renal Disease. ''Sensors (Basel)''. 2021 Jan 14; '''21''' (2):
Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomics. Description: Lu, Congyu, et al. Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomics. ''BMC Biol''. 2021 Jan 14; '''19''' (1):5
SPIN reveals genome-wide landscape of nuclear compartmentalization. Description: Wang, Yuchuan, et al. SPIN reveals genome-wide landscape of nuclear compartmentalization. ''Genome Biol''. 2021 Jan 14; '''22''' (1):36
A database framework for rapid screening of structure-function relationships in PFAS chemistry. Description: Su, An, et al. A database framework for rapid screening of structure-function relationships in PFAS chemistry. ''Sci Data''. 2021 Jan 18; '''8''' (1):14
Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure. Description: Liu, Anika, et al. Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure. ''Biol Direct''. 2021 Jan 18; '''16''' (1):6
Radiomics and Dosiomics for Predicting Local Control after Carbon-Ion Radiotherapy in Skull-Base Chordoma. Description: Buizza, Giulia, et al. Radiomics and Dosiomics for Predicting Local Control after Carbon-Ion Radiotherapy in Skull-Base Chordoma. ''Cancers (Basel)''. 2021 Jan 18; '''13''' (2):
Towards an End-to-End Framework of CCTV-Based Urban Traffic Volume Detection and Prediction. Description: Peppa, Maria V, et al. Towards an End-to-End Framework of CCTV-Based Urban Traffic Volume Detection and Prediction. ''Sensors (Basel)''. 2021 Jan 18; '''21''' (2):
Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach. Description: Snyder, Kathryn, et al. Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach. ''Neuroimage Clin''. 2021 Jan 19; '''30''': 102565
Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa. Description: Mehla, Jitender, et al. Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa. ''mBio''. 2021 Jan 19; '''12''' (1):
Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and Their Augmentation by Compact Peptide Sets. Description: Liu, Ge, et al. Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and Their Augmentation by Compact Peptide Sets. ''Cell Syst''. 2021 Jan 20; '''12''' (1):102-107.e4
Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study. Description: Carr, Ewan, et al. Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study. ''BMC Med''. 2021 Jan 21; '''19''' (1):23
MVP predicts the pathogenicity of missense variants by deep learning. Description: Qi, Hongjian, et al. MVP predicts the pathogenicity of missense variants by deep learning. ''Nat Commun''. 2021 Jan 21; '''12''' (1):510
Risk Stratification for Early Detection of Diabetes and Hypertension in Resource-Limited Settings: Machine Learning Analysis. Description: Boutilier, Justin J, et al. Risk Stratification for Early Detection of Diabetes and Hypertension in Resource-Limited Settings: Machine Learning Analysis. ''J Med Internet Res''. 2021 Jan 21; '''23''' (1):e20123
A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung Cancers. Description: Wang, Yueying, et al. A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung Cancers. ''Medicina (Kaunas)''. 2021 Jan 22; '''57''' (2):
Automated detection of patients with dementia whose symptoms have been identified in primary care but have no formal diagnosis: a retrospective case-control study using electronic primary care records. Description: Ford, Elizabeth, et al. Automated detection of patients with dementia whose symptoms have been identified in primary care but have no formal diagnosis: a retrospective case-control study using electronic primary care records. ''BMJ Open''. 2021 Jan 22; '''11''' (1):e039248
Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning. Description: Nguyen, Canh, et al. Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning. ''Sensors (Basel)''. 2021 Jan 22; '''21''' (3):
Machine learning in plant science and plant breeding. Description: van Dijk, Aalt Dirk Jan, et al. Machine learning in plant science and plant breeding. ''iScience''. 2021 Jan 22; '''24''' (1):101890
Utility of T2-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study. Description: Nketiah, Gabriel A, et al. Utility of T2-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study. ''Sci Rep''. 2021 Jan 22; '''11''' (1):2085
Anopheles gambiae Genome Conservation as a Resource for Rational Gene Drive Target Site Selection. Description: Kranjc, Nace, et al. Anopheles gambiae Genome Conservation as a Resource for Rational Gene Drive Target Site Selection. ''Insects''. 2021 Jan 23; '''12''' (2):
Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis. Description: Kwon, Siyoon, et al. Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis. ''Int J Environ Res Public Health''. 2021 Jan 24; '''18''' (3):
Cost containment by peer prior authorization program for second line treatment in patients with retinal disease. Description: Rosenblatt, Amir, et al. Cost containment by peer prior authorization program for second line treatment in patients with retinal disease. ''Isr J Health Policy Res''. 2021 Jan 25; '''10''' (1):4
Ketogenic diet and ketone bodies enhance the anticancer effects of PD-1 blockade. Description: Ferrere, Gladys, et al. Ketogenic diet and ketone bodies enhance the anticancer effects of PD-1 blockade. ''JCI Insight''. 2021 Jan 25; '''6''' (2):
Machine Learning Prediction of Foodborne Disease Pathogens: Algorithm Development and Validation Study. Description: Wang, Hanxue, et al. Machine Learning Prediction of Foodborne Disease Pathogens: Algorithm Development and Validation Study. ''JMIR Med Inform''. 2021 Jan 26; '''9''' (1):e24924
Using machine learning improves predictions of herd-level bovine tuberculosis breakdowns in Great Britain. Description: Stanski, K, et al. Using machine learning improves predictions of herd-level bovine tuberculosis breakdowns in Great Britain. ''Sci Rep''. 2021 Jan 26; '''11''' (1):2208
FPGA Implementation for Odor Identification with Depthwise Separable Convolutional Neural Network. Description: Mo, Zhuofeng, et al. FPGA Implementation for Odor Identification with Depthwise Separable Convolutional Neural Network. ''Sensors (Basel)''. 2021 Jan 27; '''21''' (3):
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients. Description: Lassau, Nathalie, et al. Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients. ''Nat Commun''. 2021 Jan 27; '''12''' (1):634
Machine learning predictive model for severe COVID-19. Description: Kang, Jianhong, et al. Machine learning predictive model for severe COVID-19. ''Infect Genet Evol''. 2021 Jan 27; 104737
VIRMOTIF: A User-Friendly Tool for Viral Sequence Analysis. Description: Rajaei, Pedram, et al. VIRMOTIF: A User-Friendly Tool for Viral Sequence Analysis. ''Genes (Basel)''. 2021 Jan 27; '''12''' (2):
Estimating the Potential of Radiomics Features and Radiomics Signature from Pretherapeutic PSMA-PET-CT Scans and Clinical Data for Prediction of Overall Survival When Treated with (177)Lu-PSMA. Description: Moazemi, Sobhan, et al. Estimating the Potential of Radiomics Features and Radiomics Signature from Pretherapeutic PSMA-PET-CT Scans and Clinical Data for Prediction of Overall Survival When Treated with (177)Lu-PSMA. ''Diagnostics (Basel)''. 2021 Jan 28; '''11''' (2):
Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling. Description: Fleetwood, Oliver, et al. Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling. ''Elife''. 2021 Jan 28; '''10''':
InpactorDB: A Classified Lineage-Level Plant LTR Retrotransposon Reference Library for Free-Alignment Methods Based on Machine Learning. Description: Orozco-Arias, Simon, et al. InpactorDB: A Classified Lineage-Level Plant LTR Retrotransposon Reference Library for Free-Alignment Methods Based on Machine Learning. ''Genes (Basel)''. 2021 Jan 28; '''12''' (2):
A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection. Description: Zurbuchen, Nicolas, et al. A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection. ''Sensors (Basel)''. 2021 Jan 30; '''21''' (3):
Enzyme Promiscuity Prediction Using Hierarchy-Informed Multi-Label Classification. Description: Visani, Gian Marco, et al. Enzyme Promiscuity Prediction Using Hierarchy-Informed Multi-Label Classification. ''Bioinformatics''. 2021 Jan 30;
Accurate brain age prediction with lightweight deep neural networks. Description: Peng, Han, et al. Accurate brain age prediction with lightweight deep neural networks. ''Med Image Anal''. 2021 Feb; '''68''': 101871
A diagnostic host response biosignature for COVID-19 from RNA profiling of nasal swabs and blood. Description: Ng, Dianna L, et al. A diagnostic host response biosignature for COVID-19 from RNA profiling of nasal swabs and blood. ''Sci Adv''. 2021 Feb; '''7''' (6):
A novel artificial intelligence-assisted triage tool to aid in the diagnosis of suspected COVID-19 pneumonia cases in fever clinics. Description: Feng, Cong, et al. A novel artificial intelligence-assisted triage tool to aid in the diagnosis of suspected COVID-19 pneumonia cases in fever clinics. ''Ann Transl Med''. 2021 Feb; '''9''' (3):201
Artificial intelligence enabled preliminary diagnosis for COVID-19 from voice cues and questionnaires. Description: Shimon, Carmi, et al. Artificial intelligence enabled preliminary diagnosis for COVID-19 from voice cues and questionnaires. ''J Acoust Soc Am''. 2021 Feb; '''149''' (2):1120
Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USA. Description: Taquet, Maxime, et al. Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USA. ''Lancet Psychiatry''. 2021 Feb; '''8''' (2):130-140
Comprehensive characterisation of intronic mis-splicing mutations in human cancers. Description: Jung, Hyunchul, et al. Comprehensive characterisation of intronic mis-splicing mutations in human cancers. ''Oncogene''. 2021 Feb; '''40''' (7):1347-1361
Context-aware dimensionality reduction deconvolutes gut microbial community dynamics. Description: Martino, Cameron, et al. Context-aware dimensionality reduction deconvolutes gut microbial community dynamics. ''Nat Biotechnol''. 2021 Feb; '''39''' (2):165-168
Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography. Description: Sip, Viktor, et al. Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography. ''PLoS Comput Biol''. 2021 Feb; '''17''' (2):e1008689
Deconvolution of Complex DNA Repair (DECODR): Establishing a Novel Deconvolution Algorithm for Comprehensive Analysis of CRISPR-Edited Sanger Sequencing Data. Description: Bloh, Kevin, et al. Deconvolution of Complex DNA Repair (DECODR): Establishing a Novel Deconvolution Algorithm for Comprehensive Analysis of CRISPR-Edited Sanger Sequencing Data. ''CRISPR J''. 2021 Feb; '''4''' (1):120-131
Distinct clonal lineages and within-host diversification shape invasive Staphylococcus epidermidis populations. Description: Both, Anna, et al. Distinct clonal lineages and within-host diversification shape invasive Staphylococcus epidermidis populations. ''PLoS Pathog''. 2021 Feb; '''17''' (2):e1009304
DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems. Description: Venturi, Andrea, et al. DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems. ''Data Brief''. 2021 Feb; '''34''': 106631
Dual midbrain and forebrain origins of thalamic inhibitory interneurons. Description: Jager, Polona, et al. Dual midbrain and forebrain origins of thalamic inhibitory interneurons. ''Elife''. 2021 Feb 1; '''10''':
Explainable Tree-Based Predictions for Unplanned 30-Day Readmission of Patients With Cancer Using Clinical Embeddings. Description: Wong, Chi Wah, et al. Explainable Tree-Based Predictions for Unplanned 30-Day Readmission of Patients With Cancer Using Clinical Embeddings. ''JCO Clin Cancer Inform''. 2021 Feb; '''5''': 155-167
Extracellular matrix density regulates the formation of tumour spheroids through cell migration. Description: Goncalves, Ines G, et al. Extracellular matrix density regulates the formation of tumour spheroids through cell migration. ''PLoS Comput Biol''. 2021 Feb; '''17''' (2):e1008764
First and Second Waves of Coronavirus Disease 2019 in Madrid, Spain: Clinical Characteristics and Hematological Risk Factors Associated With Critical/Fatal Illness. Description: Mollinedo-Gajate, Irene, et al. First and Second Waves of Coronavirus Disease 2019 in Madrid, Spain: Clinical Characteristics and Hematological Risk Factors Associated With Critical/Fatal Illness. ''Crit Care Explor''. 2021 Feb; '''3''' (2):e0346
Genome-wide dissection reveals diverse pathogenic roles of bacterial Tc toxins. Description: Song, Nan, et al. Genome-wide dissection reveals diverse pathogenic roles of bacterial Tc toxins. ''PLoS Pathog''. 2021 Feb; '''17''' (2):e1009102
Handheld macroscopic Raman spectroscopy imaging instrument for machine-learning-based molecular tissue margins characterization. Description: Daoust, Francois, et al. Handheld macroscopic Raman spectroscopy imaging instrument for machine-learning-based molecular tissue margins characterization. ''J Biomed Opt''. 2021 Feb; '''26''' (2):
Improving Cervical Precancer Surveillance: Validity of Claims-Based Prediction Models in ICD-9 and ICD-10 Eras. Description: Shing, Jaimie Z, et al. Improving Cervical Precancer Surveillance: Validity of Claims-Based Prediction Models in ICD-9 and ICD-10 Eras. ''JNCI Cancer Spectr''. 2021 Feb; '''5''' (1):pkaa112
Independent component analysis recovers consistent regulatory signals from disparate datasets. Description: Sastry, Anand V, et al. Independent component analysis recovers consistent regulatory signals from disparate datasets. ''PLoS Comput Biol''. 2021 Feb; '''17''' (2):e1008647
In-host population dynamics of Mycobacterium tuberculosis complex during active disease. Description: Vargas, Roger, et al. In-host population dynamics of Mycobacterium tuberculosis complex during active disease. ''Elife''. 2021 Feb 1; '''10''':
Longevity, clonal relationship, and transcriptional program of celiac disease-specific plasma cells. Description: Lindeman, Ida, et al. Longevity, clonal relationship, and transcriptional program of celiac disease-specific plasma cells. ''J Exp Med''. 2021 Feb 1; '''218''' (2):
Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network. Description: Amiri, Hadi, et al. Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network. ''JAMA Netw Open''. 2021 Feb 1; '''4''' (2):e2036220
Multilevel clustering approach driven by continuous glucose monitoring data for further classification of type 2 diabetes. Description: Tao, Rui, et al. Multilevel clustering approach driven by continuous glucose monitoring data for further classification of type 2 diabetes. ''BMJ Open Diabetes Res Care''. 2021 Feb; '''9''' (1):
Predicting subretinal fluid absorption with machine learning in patients with central serous chorioretinopathy. Description: Xu, Fabao, et al. Predicting subretinal fluid absorption with machine learning in patients with central serous chorioretinopathy. ''Ann Transl Med''. 2021 Feb; '''9''' (3):242
Profiling of immune dysfunction in COVID-19 patients allows early prediction of disease progression. Description: Rendeiro, Andre F, et al. Profiling of immune dysfunction in COVID-19 patients allows early prediction of disease progression. ''Life Sci Alliance''. 2021 Feb; '''4''' (2):
Quantification of Myocardial Blood Flow by Machine Learning Analysis of Modified Dual Bolus MRI Examination. Description: Husso, Minna, et al. Quantification of Myocardial Blood Flow by Machine Learning Analysis of Modified Dual Bolus MRI Examination. ''Ann Biomed Eng''. 2021 Feb; '''49''' (2):653-662
rest2vec: Vectorizing the resting-state functional connectome using graph embedding. Description: Morrissey, Zachery D, et al. rest2vec: Vectorizing the resting-state functional connectome using graph embedding. ''Neuroimage''. 2021 Feb 1; '''226''': 117538
RNA partitioning into stress granules is based on the summation of multiple interactions. Description: Matheny, Tyler, et al. RNA partitioning into stress granules is based on the summation of multiple interactions. ''RNA''. 2021 Feb; '''27''' (2):174-189
Territory-wide cohort study of Brugada syndrome in Hong Kong: predictors of long-term outcomes using random survival forests and non-negative matrix factorisation. Description: Lee, Sharen, et al. Territory-wide cohort study of Brugada syndrome in Hong Kong: predictors of long-term outcomes using random survival forests and non-negative matrix factorisation. ''Open Heart''. 2021 Feb; '''8''' (1):
Tumor hepatitis B virus RNA identifies a clinically and molecularly distinct subset of hepatocellular carcinoma. Description: Lim, Huat Chye, et al. Tumor hepatitis B virus RNA identifies a clinically and molecularly distinct subset of hepatocellular carcinoma. ''PLoS Comput Biol''. 2021 Feb; '''17''' (2):e1008699
Unenhanced CT texture analysis with machine learning for differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma. Description: Tomita, Hayato, et al. Unenhanced CT texture analysis with machine learning for differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma. ''Nagoya J Med Sci''. 2021 Feb; '''83''' (1):135-149
VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses. Description: Guo, Jiarong, et al. VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses. ''Microbiome''. 2021 Feb 1; '''9''' (1):37
Harnessing Machine Learning To Unravel Protein Degradation in Escherichia coli. Description: Nagar, Natan, et al. Harnessing Machine Learning To Unravel Protein Degradation in Escherichia coli. ''mSystems''. 2021 Feb 2; '''6''' (1):
Impact of short-read sequencing on the misassembly of a plant genome. Description: Wang, Peipei, et al. Impact of short-read sequencing on the misassembly of a plant genome. ''BMC Genomics''. 2021 Feb 2; '''22''' (1):99
The 10-m crop type maps in Northeast China during 2017-2019. Description: You, Nanshan, et al. The 10-m crop type maps in Northeast China during 2017-2019. ''Sci Data''. 2021 Feb 2; '''8''' (1):41
Genomic Diversity of Burkholderia pseudomallei in Ceara, Brazil. Description: Gee, Jay E, et al. Genomic Diversity of Burkholderia pseudomallei in Ceara, Brazil. ''mSphere''. 2021 Feb 3; '''6''' (1):
GEOlimma: differential expression analysis and feature selection using pre-existing microarray data. Description: Lu, Liangqun, et al. GEOlimma: differential expression analysis and feature selection using pre-existing microarray data. ''BMC Bioinformatics''. 2021 Feb 3; '''22''' (1):44
Synthesis of monodisperse spherical AgNPs by ultrasound-intensified Lee-Meisel method, and quick evaluation via machine learning. Description: Dong, Bin, et al. Synthesis of monodisperse spherical AgNPs by ultrasound-intensified Lee-Meisel method, and quick evaluation via machine learning. ''Ultrason Sonochem''. 2021 Feb 3; '''73''': 105485
Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection. Description: Becker, Thijs, et al. Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection. ''Sensors (Basel)''. 2021 Feb 4; '''21''' (4):
Gait Phase Detection Based on Muscle Deformation with Static Standing-Based Calibration. Description: Miyake, Tamon, et al. Gait Phase Detection Based on Muscle Deformation with Static Standing-Based Calibration. ''Sensors (Basel)''. 2021 Feb 4; '''21''' (4):
The evolution of humanitarian mapping within the OpenStreetMap community. Description: Herfort, Benjamin, et al. The evolution of humanitarian mapping within the OpenStreetMap community. ''Sci Rep''. 2021 Feb 4; '''11''' (1):3037
Unsupervised Anomaly Detection with Distillated Teacher-Student Network Ensemble. Description: Xiao, Qinfeng, et al. Unsupervised Anomaly Detection with Distillated Teacher-Student Network Ensemble. ''Entropy (Basel)''. 2021 Feb 6; '''23''' (2):
A multipurpose machine learning approach to predict COVID-19 negative prognosis in Sao Paulo, Brazil. Description: Fernandes, Fernando Timoteo, et al. A multipurpose machine learning approach to predict COVID-19 negative prognosis in Sao Paulo, Brazil. ''Sci Rep''. 2021 Feb 8; '''11''' (1):3343
A novel gene selection method for gene expression data for the task of cancer type classification. Description: Ozcan SImSek, N Ozlem, et al. A novel gene selection method for gene expression data for the task of cancer type classification. ''Biol Direct''. 2021 Feb 8; '''16''' (1):7
Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer study. Description: Emad, Amin, et al. Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer study. ''NPJ Syst Biol Appl''. 2021 Feb 8; '''7''' (1):9
Longitudinal Metabolomics of Human Plasma Reveals Robust Prognostic Markers of COVID-19 Disease Severity. Description: Sindelar, Miriam, et al. Longitudinal Metabolomics of Human Plasma Reveals Robust Prognostic Markers of COVID-19 Disease Severity. ''medRxiv''. 2021 Feb 8;
Developmental hourglass and heterochronic shifts in fin and limb development. Description: Onimaru, Koh, et al. Developmental hourglass and heterochronic shifts in fin and limb development. ''Elife''. 2021 Feb 9; '''10''':
Machine Learning Algorithms for Activity-Intensity Recognition Using Accelerometer Data. Description: Gomes, Eduardo, et al. Machine Learning Algorithms for Activity-Intensity Recognition Using Accelerometer Data. ''Sensors (Basel)''. 2021 Feb 9; '''21''' (4):
Measuring Activities of Daily Living in Stroke Patients with Motion Machine Learning Algorithms: A Pilot Study. Description: Chen, Pin-Wei, et al. Measuring Activities of Daily Living in Stroke Patients with Motion Machine Learning Algorithms: A Pilot Study. ''Int J Environ Res Public Health''. 2021 Feb 9; '''18''' (4):
Predicting Isoform-Selective Carbonic Anhydrase Inhibitors via Machine Learning and Rationalizing Structural Features Important for Selectivity. Description: Galati, Salvatore, et al. Predicting Isoform-Selective Carbonic Anhydrase Inhibitors via Machine Learning and Rationalizing Structural Features Important for Selectivity. ''ACS Omega''. 2021 Feb 9; '''6''' (5):4080-4089
Sulfur Metabolites Play Key System-Level Roles in Modulating Denitrification. Description: Otwell, Anne E, et al. Sulfur Metabolites Play Key System-Level Roles in Modulating Denitrification. ''mSystems''. 2021 Feb 9; '''6''' (1):
A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation. Description: Bolourani, Siavash, et al. A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation. ''J Med Internet Res''. 2021 Feb 10; '''23''' (2):e24246
Industrial Control under Non-Ideal Measurements: Data-Based Signal Processing as an Alternative to Controller Retuning. Description: Pisa, Ivan, et al. Industrial Control under Non-Ideal Measurements: Data-Based Signal Processing as an Alternative to Controller Retuning. ''Sensors (Basel)''. 2021 Feb 10; '''21''' (4):
Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women. Description: Tsai, Kai-Leun, et al. Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women. ''BMC Med Inform Decis Mak''. 2021 Feb 10; '''21''' (1):49
Jumping over baselines with new methods to predict activation maps from resting-state fMRI. Description: Lacosse, Eric, et al. Jumping over baselines with new methods to predict activation maps from resting-state fMRI. ''Sci Rep''. 2021 Feb 10; '''11''' (1):3480
Selenium-dependent metabolic reprogramming during inflammation and resolution. Description: Korwar, Arvind M, et al. Selenium-dependent metabolic reprogramming during inflammation and resolution. ''J Biol Chem''. 2021 Feb 10; 100410
Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis. Description: Jang, Hyeju, et al. Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis. ''J Med Internet Res''. 2021 Feb 10; '''23''' (2):e25431
5-Hydroxymethylcytosine profiles of cfDNA are highly predictive of R-CHOP treatment response in diffuse large B cell lymphoma patients. Description: Chen, Hang-Yu, et al. 5-Hydroxymethylcytosine profiles of cfDNA are highly predictive of R-CHOP treatment response in diffuse large B cell lymphoma patients. ''Clin Epigenetics''. 2021 Feb 11; '''13''' (1):33
A social Beaufort scale to detect high winds using language in social media posts. Description: Weaver, Iain S, et al. A social Beaufort scale to detect high winds using language in social media posts. ''Sci Rep''. 2021 Feb 11; '''11''' (1):3647
Conservation machine learning: a case study of random forests. Description: Sipper, Moshe, et al. Conservation machine learning: a case study of random forests. ''Sci Rep''. 2021 Feb 11; '''11''' (1):3629
Constructing and optimizing 3D atlases from 2D data with application to the developing mouse brain. Description: Young, David M, et al. Constructing and optimizing 3D atlases from 2D data with application to the developing mouse brain. ''Elife''. 2021 Feb 11; '''10''':
Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study. Description: Quiroz, Juan Carlos, et al. Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study. ''JMIR Med Inform''. 2021 Feb 11; '''9''' (2):e24572
EKLF/KLF1 expression defines a unique macrophage subset during mouse erythropoiesis. Description: Mukherjee, Kaustav, et al. EKLF/KLF1 expression defines a unique macrophage subset during mouse erythropoiesis. ''Elife''. 2021 Feb 11; '''10''':
Machine learning approach for differentiating cytomegalovirus esophagitis from herpes simplex virus esophagitis. Description: Lee, Jung Su, et al. Machine learning approach for differentiating cytomegalovirus esophagitis from herpes simplex virus esophagitis. ''Sci Rep''. 2021 Feb 11; '''11''' (1):3672
An interpretable deep-learning model for early prediction of sepsis in the emergency department. Description: Zhang, Dongdong, et al. An interpretable deep-learning model for early prediction of sepsis in the emergency department. ''Patterns (N Y)''. 2021 Feb 12; '''2''' (2):100196
Uncovering social-contextual and individual mental health factors associated with violence via computational inference. Description: Santamaria-Garcia, Hernando, et al. Uncovering social-contextual and individual mental health factors associated with violence via computational inference. ''Patterns (N Y)''. 2021 Feb 12; '''2''' (2):100176
Zincbindpredict-Prediction of Zinc Binding Sites in Proteins. Description: Ireland, Sam M, et al. Zincbindpredict-Prediction of Zinc Binding Sites in Proteins. ''Molecules''. 2021 Feb 12; '''26''' (4):
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. Description: de Prado, Miguel, et al. Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. ''Sensors (Basel)''. 2021 Feb 13; '''21''' (4):
Environmental Exposures in Singapore Schools: An Ecological Study. Description: Periyakoil, Divya, et al. Environmental Exposures in Singapore Schools: An Ecological Study. ''Int J Environ Res Public Health''. 2021 Feb 14; '''18''' (4):
Classification of Parkinson's disease based on multi-modal features and stacking ensemble learning. Description: Yang, Yifeng, et al. Classification of Parkinson's disease based on multi-modal features and stacking ensemble learning. ''J Neurosci Methods''. 2021 Feb 15; '''350''': 109019
Combining In Vivo Data with In Silico Predictions for Modeling Hepatic Steatosis by Using Stratified Bagging and Conformal Prediction. Description: Jain, Sankalp, et al. Combining In Vivo Data with In Silico Predictions for Modeling Hepatic Steatosis by Using Stratified Bagging and Conformal Prediction. ''Chem Res Toxicol''. 2021 Feb 15; '''34''' (2):656-668
De novo assembly and characterization of the first draft genome of quince (Cydonia oblonga Mill.). Description: Soyturk, Aysenur, et al. De novo assembly and characterization of the first draft genome of quince (Cydonia oblonga Mill.). ''Sci Rep''. 2021 Feb 15; '''11''' (1):3818
Detecting depression using an ensemble classifier based on Quality of Life scales. Description: Tao, Xiaohui, et al. Detecting depression using an ensemble classifier based on Quality of Life scales. ''Brain Inform''. 2021 Feb 15; '''8''' (1):2
HDXmodeller: an online webserver for high-resolution HDX-MS with auto-validation. Description: Salmas, Ramin Ekhteiari, et al. HDXmodeller: an online webserver for high-resolution HDX-MS with auto-validation. ''Commun Biol''. 2021 Feb 15; '''4''' (1):199
In Silico Models to Predict the Perturbation of Molecular Initiating Events Related to Thyroid Hormone Homeostasis. Description: Garcia de Lomana, Marina, et al. In Silico Models to Predict the Perturbation of Molecular Initiating Events Related to Thyroid Hormone Homeostasis. ''Chem Res Toxicol''. 2021 Feb 15; '''34''' (2):396-411
Optimizing machine learning models for granular NdFeB magnets by very fast simulated annealing. Description: Park, Hyeon-Kyu, et al. Optimizing machine learning models for granular NdFeB magnets by very fast simulated annealing. ''Sci Rep''. 2021 Feb 15; '''11''' (1):3792
A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography. Description: Zhang, Xiaoguo, et al. A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography. ''Sci Rep''. 2021 Feb 16; '''11''' (1):3938
Comparative Fungal Community Analyses Using Metatranscriptomics and Internal Transcribed Spacer Amplicon Sequencing from Norway Spruce. Description: Schneider, Andreas N, et al. Comparative Fungal Community Analyses Using Metatranscriptomics and Internal Transcribed Spacer Amplicon Sequencing from Norway Spruce. ''mSystems''. 2021 Feb 16; '''6''' (1):
Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based "General Health Score" App: Prospective Cohort Study Using the UK Biobank. Description: Clift, Ashley K, et al. Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based "General Health Score" App: Prospective Cohort Study Using the UK Biobank. ''JMIR Mhealth Uhealth''. 2021 Feb 16; '''9''' (2):e25655
Real-time prediction of COVID-19 related mortality using electronic health records. Description: Schwab, Patrick, et al. Real-time prediction of COVID-19 related mortality using electronic health records. ''Nat Commun''. 2021 Feb 16; '''12''' (1):1058
Rising Mental Health Incidence Among Adolescents in Westchester, NY. Description: Rao, A Ravishankar, et al. Rising Mental Health Incidence Among Adolescents in Westchester, NY. ''Community Ment Health J''. 2021 Feb 16;
A Phase II Study Demonstrates No Feasibility of Adjuvant Treatment with Six Cycles of S-1 and Oxaliplatin in Resectable Esophageal Adenocarcinoma, with ERCC1 as Biomarker for Response to SOX. Description: Stroes, Charlotte I, et al. A Phase II Study Demonstrates No Feasibility of Adjuvant Treatment with Six Cycles of S-1 and Oxaliplatin in Resectable Esophageal Adenocarcinoma, with ERCC1 as Biomarker for Response to SOX. ''Cancers (Basel)''. 2021 Feb 17; '''13''' (4):
Color-Patterns to Architecture Conversion through Conditional Generative Adversarial Networks. Description: Navarro-Mateu, Diego, et al. Color-Patterns to Architecture Conversion through Conditional Generative Adversarial Networks. ''Biomimetics (Basel)''. 2021 Feb 17; '''6''' (1):
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models. Description: Jiang, Dejun, et al. Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models. ''J Cheminform''. 2021 Feb 17; '''13''' (1):12
Machine learning classifies predictive kinematic features in a mouse model of neurodegeneration. Description: Huang, Ruyi, et al. Machine learning classifies predictive kinematic features in a mouse model of neurodegeneration. ''Sci Rep''. 2021 Feb 17; '''11''' (1):3950
RBM-MHC: A Semi-Supervised Machine-Learning Method for Sample-Specific Prediction of Antigen Presentation by HLA-I Alleles. Description: Bravi, Barbara, et al. RBM-MHC: A Semi-Supervised Machine-Learning Method for Sample-Specific Prediction of Antigen Presentation by HLA-I Alleles. ''Cell Syst''. 2021 Feb 17; '''12''' (2):195-202.e9
Temporal bias in case-control design: preventing reliable predictions of the future. Description: Yuan, William, et al. Temporal bias in case-control design: preventing reliable predictions of the future. ''Nat Commun''. 2021 Feb 17; '''12''' (1):1107
Assisting scalable diagnosis automatically via CT images in the combat against COVID-19. Description: Liu, Bohan, et al. Assisting scalable diagnosis automatically via CT images in the combat against COVID-19. ''Sci Rep''. 2021 Feb 18; '''11''' (1):4145
Early risk assessment for COVID-19 patients from emergency department data using machine learning. Description: Heldt, Frank S, et al. Early risk assessment for COVID-19 patients from emergency department data using machine learning. ''Sci Rep''. 2021 Feb 18; '''11''' (1):4200
Examining the utility of extended laboratory panel testing in the emergency department for risk stratification of patients with COVID-19: a single-centre retrospective service evaluation. Description: Ponsford, Mark J, et al. Examining the utility of extended laboratory panel testing in the emergency department for risk stratification of patients with COVID-19: a single-centre retrospective service evaluation. ''J Clin Pathol''. 2021 Feb 19;
Females and Males Show Differences in Early-Stage Transcriptomic Biomarkers of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma. Description: Liu, Quewang, et al. Females and Males Show Differences in Early-Stage Transcriptomic Biomarkers of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma. ''Diagnostics (Basel)''. 2021 Feb 19; '''11''' (2):
Human cortical encoding of pitch in tonal and non-tonal languages. Description: Li, Yuanning, et al. Human cortical encoding of pitch in tonal and non-tonal languages. ''Nat Commun''. 2021 Feb 19; '''12''' (1):1161
CADD-Splice-improving genome-wide variant effect prediction using deep learning-derived splice scores. Description: Rentzsch, Philipp, et al. CADD-Splice-improving genome-wide variant effect prediction using deep learning-derived splice scores. ''Genome Med''. 2021 Feb 22; '''13''' (1):31
Distinct antibody repertoires against endemic human coronaviruses in children and adults. Description: Khan, Taushif, et al. Distinct antibody repertoires against endemic human coronaviruses in children and adults. ''JCI Insight''. 2021 Feb 22; '''6''' (4):
Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort Study. Description: Dai, Wanfa, et al. Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort Study. ''J Med Internet Res''. 2021 Feb 22; '''23''' (2):e23390
Guide-target mismatch effects on dCas9-sgRNA binding activity in living bacterial cells. Description: Feng, Huibao, et al. Guide-target mismatch effects on dCas9-sgRNA binding activity in living bacterial cells. ''Nucleic Acids Res''. 2021 Feb 22; '''49''' (3):1263-1277
MAIP: a web service for predicting blood-stage malaria inhibitors. Description: Bosc, Nicolas, et al. MAIP: a web service for predicting blood-stage malaria inhibitors. ''J Cheminform''. 2021 Feb 22; '''13''' (1):13
Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification. Description: Qaisar, Saeed Mian, et al. Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification. ''Sensors (Basel)''. 2021 Feb 22; '''21''' (4):
Using Tweets to Understand How COVID-19-Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study. Description: Wang, Hanyin, et al. Using Tweets to Understand How COVID-19-Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study. ''J Med Internet Res''. 2021 Feb 22; '''23''' (2):e26302
Dynamic functional connectome predicts individual working memory performance across diagnostic categories. Description: Zhu, Jiajia, et al. Dynamic functional connectome predicts individual working memory performance across diagnostic categories. ''Neuroimage Clin''. 2021 Feb 23; '''30''': 102593
Kidney Function After Liver Transplantation in a Single Center. Description: Niewinski, Grzegorz, et al. Kidney Function After Liver Transplantation in a Single Center. ''Ann Transplant''. 2021 Feb 23; '''26''': e926928
Spatial Regulation of T-Cell Signaling by Programmed Death-Ligand 1 on Wireframe DNA Origami Flat Sheets. Description: Fang, Trixy, et al. Spatial Regulation of T-Cell Signaling by Programmed Death-Ligand 1 on Wireframe DNA Origami Flat Sheets. ''ACS Nano''. 2021 Feb 23; '''15''' (2):3441-3452
Spinal Cord Morphology in Degenerative Cervical Myelopathy Patients; Assessing Key Morphological Characteristics Using Machine Vision Tools. Description: Ost, Kalum, et al. Spinal Cord Morphology in Degenerative Cervical Myelopathy Patients; Assessing Key Morphological Characteristics Using Machine Vision Tools. ''J Clin Med''. 2021 Feb 23; '''10''' (4):
Elucidation of molecular and hormonal background of early growth cessation and endodormancy induction in two contrasting Populus hybrid cultivars. Description: Boldizsar, Akos, et al. Elucidation of molecular and hormonal background of early growth cessation and endodormancy induction in two contrasting Populus hybrid cultivars. ''BMC Plant Biol''. 2021 Feb 24; '''21''' (1):111
Machine learning approaches for the prediction of bone mineral density by using genomic and phenotypic data of 5130 older men. Description: Wu, Qing, et al. Machine learning approaches for the prediction of bone mineral density by using genomic and phenotypic data of 5130 older men. ''Sci Rep''. 2021 Feb 24; '''11''' (1):4482
Short-Term HRV Analysis Using Nonparametric Sample Entropy for Obstructive Sleep Apnea. Description: Liang, Duan, et al. Short-Term HRV Analysis Using Nonparametric Sample Entropy for Obstructive Sleep Apnea. ''Entropy (Basel)''. 2021 Feb 24; '''23''' (3):
The Distribution of Several Genomic Virulence Determinants Does Not Corroborate the Established Serotyping Classification of Bacillus thuringiensis. Description: Shikov, Anton E, et al. The Distribution of Several Genomic Virulence Determinants Does Not Corroborate the Established Serotyping Classification of Bacillus thuringiensis. ''Int J Mol Sci''. 2021 Feb 24; '''22''' (5):
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences. Description: Carrieri, Anna Paola, et al. Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences. ''Sci Rep''. 2021 Feb 25; '''11''' (1):4565
Feedforward Artificial Neural Network-Based Colorectal Cancer Detection Using Hyperspectral Imaging: A Step towards Automatic Optical Biopsy. Description: Jansen-Winkeln, Boris, et al. Feedforward Artificial Neural Network-Based Colorectal Cancer Detection Using Hyperspectral Imaging: A Step towards Automatic Optical Biopsy. ''Cancers (Basel)''. 2021 Feb 25; '''13''' (5):
Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts. Description: Nandi, Arijit, et al. Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts. ''Sensors (Basel)''. 2021 Feb 25; '''21''' (5):
An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting(dagger). Description: Jung, Seungmin, et al. An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting(dagger). ''Sensors (Basel)''. 2021 Feb 26; '''21''' (5):
CRISPRidentify: identification of CRISPR arrays using machine learning approach. Description: Mitrofanov, Alexander, et al. CRISPRidentify: identification of CRISPR arrays using machine learning approach. ''Nucleic Acids Res''. 2021 Feb 26; '''49''' (4):e20
Exploratory analysis of immunization records highlights decreased SARS-CoV-2 rates in individuals with recent non-COVID-19 vaccinations. Description: Pawlowski, Colin, et al. Exploratory analysis of immunization records highlights decreased SARS-CoV-2 rates in individuals with recent non-COVID-19 vaccinations. ''Sci Rep''. 2021 Feb 26; '''11''' (1):4741
Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19. Description: Nakamichi, Kenji, et al. Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19. ''Sci Rep''. 2021 Feb 26; '''11''' (1):4802
Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma. Description: Jean-Quartier, Claire, et al. Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma. ''BMC Med Inform Decis Mak''. 2021 Feb 27; '''21''' (1):77
Classification of covid related articles using machine learning. Description: Godavarthi, Deepthi, et al. Classification of covid related articles using machine learning. ''Mater Today Proc''. 2021 Feb 28;
2passtools: two-pass alignment using machine-learning-filtered splice junctions increases the accuracy of intron detection in long-read RNA sequencing. Description: Parker, Matthew T, et al. 2passtools: two-pass alignment using machine-learning-filtered splice junctions increases the accuracy of intron detection in long-read RNA sequencing. ''Genome Biol''. 2021 Mar 1; '''22''' (1):72
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists. Description: Bulten, Wouter, et al. Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists. ''Mod Pathol''. 2021 Mar; '''34''' (3):660-671
Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health. Description: Newman-Griffis, Denis, et al. Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health. ''Front Digit Health''. 2021 Mar; '''3''':
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. Description: Peng, Yifan, et al. COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. ''IEEE Trans Big Data''. 2021 Mar 1; '''7''' (1):3-12
Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere. Description: Wright, Robyn J, et al. Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere. ''ISME J''. 2021 Mar; '''15''' (3):789-806
Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus. Description: Tang, Shan, et al. Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus. ''Mol Plant''. 2021 Mar 1; '''14''' (3):470-487
Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability. Description: Rasero, Javier, et al. Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability. ''PLoS Comput Biol''. 2021 Mar; '''17''' (3):e1008347
Integrating new memories into the hippocampal network activity space. Description: Gava, Giuseppe P, et al. Integrating new memories into the hippocampal network activity space. ''Nat Neurosci''. 2021 Mar; '''24''' (3):326-330
Joint probabilistic modeling of single-cell multi-omic data with totalVI. Description: Gayoso, Adam, et al. Joint probabilistic modeling of single-cell multi-omic data with totalVI. ''Nat Methods''. 2021 Mar; '''18''' (3):272-282
Long-term continuous positive airway pressure treatment ameliorates biological clock disruptions in obstructive sleep apnea. Description: Gaspar, Laetitia S, et al. Long-term continuous positive airway pressure treatment ameliorates biological clock disruptions in obstructive sleep apnea. ''EBioMedicine''. 2021 Mar; '''65''': 103248
Oncotherapeutic Protein Kinase Inhibitors Associated With Pro-Arrhythmic Liability. Description: Ye, Johan Z, et al. Oncotherapeutic Protein Kinase Inhibitors Associated With Pro-Arrhythmic Liability. ''JACC CardioOncol''. 2021 Mar; '''3''' (1):88-97
Optimisation and evaluation of the random forest model in the efficacy prediction of chemoradiotherapy for advanced cervical cancer based on radiomics signature from high-resolution T2 weighted images. Description: Liu, Defeng, et al. Optimisation and evaluation of the random forest model in the efficacy prediction of chemoradiotherapy for advanced cervical cancer based on radiomics signature from high-resolution T2 weighted images. ''Arch Gynecol Obstet''. 2021 Mar; '''303''' (3):811-820
Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning. Description: Kang, Nam Gyu, et al. Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning. ''Korean J Radiol''. 2021 Mar; '''22''' (3):334-343
Rapid discovery of novel prophages using biological feature engineering and machine learning. Description: Siren, Kimmo, et al. Rapid discovery of novel prophages using biological feature engineering and machine learning. ''NAR Genom Bioinform''. 2021 Mar; '''3''' (1):lqaa109
Reward modulates cortical representations of action. Description: Adkins, Tyler J, et al. Reward modulates cortical representations of action. ''Neuroimage''. 2021 Mar; '''228''': 117708
Time Course of Alterations in Adult Spinal Motoneuron Properties in the SOD1(G93A) Mouse Model of ALS. Description: Huh, Seoan, et al. Time Course of Alterations in Adult Spinal Motoneuron Properties in the SOD1(G93A) Mouse Model of ALS. ''eNeuro''. 2021 Mar-Apr; '''8''' (2):
Using the antibody-antigen binding interface to train image-based deep neural networks for antibody-epitope classification. Description: Ripoll, Daniel R, et al. Using the antibody-antigen binding interface to train image-based deep neural networks for antibody-epitope classification. ''PLoS Comput Biol''. 2021 Mar; '''17''' (3):e1008864
COVID-19 salivary Raman fingerprint: innovative approach for the detection of current and past SARS-CoV-2 infections. Description: Carlomagno, C, et al. COVID-19 salivary Raman fingerprint: innovative approach for the detection of current and past SARS-CoV-2 infections. ''Sci Rep''. 2021 Mar 2; '''11''' (1):4943
Dysbiosis in Metabolic Genes of the Gut Microbiomes of Patients with an Ileo-anal Pouch Resembles That Observed in Crohn's Disease. Description: Dubinsky, Vadim, et al. Dysbiosis in Metabolic Genes of the Gut Microbiomes of Patients with an Ileo-anal Pouch Resembles That Observed in Crohn's Disease. ''mSystems''. 2021 Mar 2; '''6''' (2):
Functional specialization within the inferior parietal lobes across cognitive domains. Description: Numssen, Ole, et al. Functional specialization within the inferior parietal lobes across cognitive domains. ''Elife''. 2021 Mar 2; '''10''':
Machine learning-based prediction model using clinico-pathologic factors for papillary thyroid carcinoma recurrence. Description: Park, Young Min, et al. Machine learning-based prediction model using clinico-pathologic factors for papillary thyroid carcinoma recurrence. ''Sci Rep''. 2021 Mar 2; '''11''' (1):4948
The pyruvate-lactate axis modulates cardiac hypertrophy and heart failure. Description: Cluntun, Ahmad A, et al. The pyruvate-lactate axis modulates cardiac hypertrophy and heart failure. ''Cell Metab''. 2021 Mar 2; '''33''' (3):629-648.e10
Evaluating the Genomic Parameters Governing rAAV-Mediated Homologous Recombination. Description: Spector, Laura P, et al. Evaluating the Genomic Parameters Governing rAAV-Mediated Homologous Recombination. ''Mol Ther''. 2021 Mar 3; '''29''' (3):1028-1046
Machine phenotyping of cluster headache and its response to verapamil. Description: Tso, Amy R, et al. Machine phenotyping of cluster headache and its response to verapamil. ''Brain''. 2021 Mar 3; '''144''' (2):655-664
Topic Analysis of Traditional and Social Media News Coverage of the Early COVID-19 Pandemic and Implications for Public Health Communication. Description: Chipidza, Wallace, et al. Topic Analysis of Traditional and Social Media News Coverage of the Early COVID-19 Pandemic and Implications for Public Health Communication. ''Disaster Med Public Health Prep''. 2021 Mar 3; 1-8
Binding mode of SARS-CoV-2 fusion peptide to human cellular membrane. Description: Gorgun, Defne, et al. Binding mode of SARS-CoV-2 fusion peptide to human cellular membrane. ''Biophys J''. 2021 Mar 4;
Design issues and solutions for stop-signal data from the Adolescent Brain Cognitive Development (ABCD) study. Description: Bissett, Patrick G, et al. Design issues and solutions for stop-signal data from the Adolescent Brain Cognitive Development (ABCD) study. ''Elife''. 2021 Mar 4; '''10''':
Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Human Developmental Hematopoiesis. Description: Ranzoni, Anna Maria, et al. Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Human Developmental Hematopoiesis. ''Cell Stem Cell''. 2021 Mar 4; '''28''' (3):472-487.e7
Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization. Description: Golesorkhi, Mehrshad, et al. Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization. ''Commun Biol''. 2021 Mar 4; '''4''' (1):277
A Personal Health System for Self-Management of Congestive Heart Failure (HeartMan): Development, Technical Evaluation, and Proof-of-Concept Randomized Controlled Trial. Description: Lustrek, Mitja, et al. A Personal Health System for Self-Management of Congestive Heart Failure (HeartMan): Development, Technical Evaluation, and Proof-of-Concept Randomized Controlled Trial. ''JMIR Med Inform''. 2021 Mar 5; '''9''' (3):e24501
seqQscorer: automated quality control of next-generation sequencing data using machine learning. Description: Albrecht, Steffen, et al. seqQscorer: automated quality control of next-generation sequencing data using machine learning. ''Genome Biol''. 2021 Mar 5; '''22''' (1):75
Laser-induced breakdown spectroscopy coupled with machine learning as a tool for olive oil authenticity and geographic discrimination. Description: Gyftokostas, Nikolaos, et al. Laser-induced breakdown spectroscopy coupled with machine learning as a tool for olive oil authenticity and geographic discrimination. ''Sci Rep''. 2021 Mar 8; '''11''' (1):5360
Prioritizing non-coding regions based on human genomic constraint and sequence context with deep learning. Description: Vitsios, Dimitrios, et al. Prioritizing non-coding regions based on human genomic constraint and sequence context with deep learning. ''Nat Commun''. 2021 Mar 8; '''12''' (1):1504
Diversity oriented Deep Reinforcement Learning for targeted molecule generation. Description: Pereira, Tiago, et al. Diversity oriented Deep Reinforcement Learning for targeted molecule generation. ''J Cheminform''. 2021 Mar 9; '''13''' (1):21
Waist circumference prediction for epidemiological research using gradient boosted trees. Description: Zhou, Weihong, et al. Waist circumference prediction for epidemiological research using gradient boosted trees. ''BMC Med Res Methodol''. 2021 Mar 9; '''21''' (1):47
A machine learning approach to personalized dose adjustment of lamotrigine using noninvasive clinical parameters. Description: Zhu, Xiuqing, et al. A machine learning approach to personalized dose adjustment of lamotrigine using noninvasive clinical parameters. ''Sci Rep''. 2021 Mar 10; '''11''' (1):5568
Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET. Description: Tatekawa, Hiroyuki, et al. Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET. ''Cancer Imaging''. 2021 Mar 10; '''21''' (1):27
DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires. Description: Sidhom, John-William, et al. DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires. ''Nat Commun''. 2021 Mar 11; '''12''' (1):1605
Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. Description: Rodriguez, Victor Alfonso, et al. Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. ''J Am Med Inform Assoc''. 2021 Mar 11;
Digital biomarker of mental fatigue. Description: Tseng, Vincent Wen-Sheng, et al. Digital biomarker of mental fatigue. ''NPJ Digit Med''. 2021 Mar 11; '''4''' (1):47
Joint profiling of DNA and proteins in single cells to dissect genotype-phenotype associations in leukemia. Description: Demaree, Benjamin, et al. Joint profiling of DNA and proteins in single cells to dissect genotype-phenotype associations in leukemia. ''Nat Commun''. 2021 Mar 11; '''12''' (1):1583
Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning. Description: Wang, Xiaodong, et al. Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning. ''Nat Commun''. 2021 Mar 12; '''12''' (1):1637
PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques. Description: Mahmud, S M Hasan, et al. PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques. ''Brief Bioinform''. 2021 Mar 12;
Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions. Description: Butler, Daniel, et al. Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions. ''Nat Commun''. 2021 Mar 12; '''12''' (1):1660
Differential Effect of Anesthesia on Visual Cortex Neurons with Diverse Population Coupling. Description: Lee, Heonsoo, et al. Differential Effect of Anesthesia on Visual Cortex Neurons with Diverse Population Coupling. ''Neuroscience''. 2021 Mar 15; '''458''': 108-119
Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients. Description: Bertsimas, Dimitris, et al. Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients. ''Health Care Manag Sci''. 2021 Mar 15;
A national survey assessing public readiness for digital health strategies against COVID-19 within the United Kingdom. Description: Sounderajah, Viknesh, et al. A national survey assessing public readiness for digital health strategies against COVID-19 within the United Kingdom. ''Sci Rep''. 2021 Mar 16; '''11''' (1):5958
A new approach for the detection of pneumonia in children using CXR images based on an real-time IoT system. Description: Chagas, Joao Victor S das, et al. A new approach for the detection of pneumonia in children using CXR images based on an real-time IoT system. ''J Real Time Image Process''. 2021 Mar 16; 1-16
AptaNet as a deep learning approach for aptamer-protein interaction prediction. Description: Emami, Neda, et al. AptaNet as a deep learning approach for aptamer-protein interaction prediction. ''Sci Rep''. 2021 Mar 16; '''11''' (1):6074
In Silico Prediction of Fraction Unbound in Human Plasma from Chemical Fingerprint Using Automated Machine Learning. Description: Mulpuru, Viswajit, et al. In Silico Prediction of Fraction Unbound in Human Plasma from Chemical Fingerprint Using Automated Machine Learning. ''ACS Omega''. 2021 Mar 16; '''6''' (10):6791-6797
Learning chemistry: exploring the suitability of machine learning for the task of structure-based chemical ontology classification. Description: Hastings, Janna, et al. Learning chemistry: exploring the suitability of machine learning for the task of structure-based chemical ontology classification. ''J Cheminform''. 2021 Mar 16; '''13''' (1):23
Predictive Global Models of Cruzain Inhibitors with Large Chemical Coverage. Description: Rosas-Jimenez, Jose Guadalupe, et al. Predictive Global Models of Cruzain Inhibitors with Large Chemical Coverage. ''ACS Omega''. 2021 Mar 16; '''6''' (10):6722-6735
Translational adaptation of human viruses to the tissues they infect. Description: Hernandez-Alias, Xavier, et al. Translational adaptation of human viruses to the tissues they infect. ''Cell Rep''. 2021 Mar 16; '''34''' (11):108872
Interhemispheric transfer of working memories. Description: Brincat, Scott L, et al. Interhemispheric transfer of working memories. ''Neuron''. 2021 Mar 17; '''109''' (6):1055-1066.e4
Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine. Description: Zeller, Michael A, et al. Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine. ''mSphere''. 2021 Mar 17; '''6''' (2):
Altered pulmonary blood volume distribution as a biomarker for predicting outcomes in COVID-19 disease. Description: Morris, Michael F, et al. Altered pulmonary blood volume distribution as a biomarker for predicting outcomes in COVID-19 disease. ''Eur Respir J''. 2021 Mar 18;
Machine learning to determine optimal conditions for controlling the size of elastin-based particles. Description: Cobb, Jared S, et al. Machine learning to determine optimal conditions for controlling the size of elastin-based particles. ''Sci Rep''. 2021 Mar 18; '''11''' (1):6343
Mutational escape from the polyclonal antibody response to SARS-CoV-2 infection is largely shaped by a single class of antibodies. Description: Greaney, Allison J, et al. Mutational escape from the polyclonal antibody response to SARS-CoV-2 infection is largely shaped by a single class of antibodies. ''bioRxiv''. 2021 Mar 18;
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. Description: Sieberts, Solveig K, et al. Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. ''NPJ Digit Med''. 2021 Mar 19; '''4''' (1):53
Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug-drug links based on graph neural network. Description: Cui, Chen, et al. Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug-drug links based on graph neural network. ''Bioinformatics''. 2021 Mar 19;
Dynamics of fMRI patterns reflect sub-second activation sequences and reveal replay in human visual cortex. Description: Wittkuhn, Lennart, et al. Dynamics of fMRI patterns reflect sub-second activation sequences and reveal replay in human visual cortex. ''Nat Commun''. 2021 Mar 19; '''12''' (1):1795
Population genomics and haplotype analysis in spelt and bread wheat identifies a gene regulating glume color. Description: Abrouk, Michael, et al. Population genomics and haplotype analysis in spelt and bread wheat identifies a gene regulating glume color. ''Commun Biol''. 2021 Mar 19; '''4''' (1):375
Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning-Based Cross-sectional Study of the UK Biobank Accelerometer Cohort. Description: Lam, Benjamin, et al. Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning-Based Cross-sectional Study of the UK Biobank Accelerometer Cohort. ''JMIR Diabetes''. 2021 Mar 19; '''6''' (1):e23364
Coupled oscillators coordinate collective germline growth. Description: Doherty, Caroline A, et al. Coupled oscillators coordinate collective germline growth. ''Dev Cell''. 2021 Mar 22; '''56''' (6):860-870.e8
Identifying anti-coronavirus peptides by incorporating different negative datasets and imbalanced learning strategies. Description: Pang, Yuxuan, et al. Identifying anti-coronavirus peptides by incorporating different negative datasets and imbalanced learning strategies. ''Brief Bioinform''. 2021 Mar 22; '''22''' (2):1085-1095
Automated Travel History Extraction From Clinical Notes for Informing the Detection of Emergent Infectious Disease Events: Algorithm Development and Validation. Description: Peterson, Kelly S, et al. Automated Travel History Extraction From Clinical Notes for Informing the Detection of Emergent Infectious Disease Events: Algorithm Development and Validation. ''JMIR Public Health Surveill''. 2021 Mar 24; '''7''' (3):e26719
K-means quantization for a web-based open-source flow cytometry analysis platform. Description: Wong, Nathan, et al. K-means quantization for a web-based open-source flow cytometry analysis platform. ''Sci Rep''. 2021 Mar 24; '''11''' (1):6735
Network dynamics underlying OFF responses in the auditory cortex. Description: Bondanelli, Giulio, et al. Network dynamics underlying OFF responses in the auditory cortex. ''Elife''. 2021 Mar 24; '''10''':
Decomposition of high-frequency electrical conductivity into extracellular and intracellular compartments based on two-compartment model using low-to-high multi-b diffusion MRI. Description: Lee, Mun Bae, et al. Decomposition of high-frequency electrical conductivity into extracellular and intracellular compartments based on two-compartment model using low-to-high multi-b diffusion MRI. ''Biomed Eng Online''. 2021 Mar 25; '''20''' (1):29
Establishment of a Potential Serum Biomarker Panel for the Diagnosis and Prognosis of Cholangiocarcinoma Using Decision Tree Algorithms. Description: Kimawaha, Phongsaran, et al. Establishment of a Potential Serum Biomarker Panel for the Diagnosis and Prognosis of Cholangiocarcinoma Using Decision Tree Algorithms. ''Diagnostics (Basel)''. 2021 Mar 25; '''11''' (4):
Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios. Description: Palka, Filip, et al. Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios. ''Sensors (Basel)''. 2021 Mar 25; '''21''' (7):
Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD. Description: Caly, Hugues, et al. Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD. ''Sci Rep''. 2021 Mar 25; '''11''' (1):6877
Machine learning associated with respiratory oscillometry: a computer-aided diagnosis system for the detection of respiratory abnormalities in systemic sclerosis. Description: Andrade, Domingos S M, et al. Machine learning associated with respiratory oscillometry: a computer-aided diagnosis system for the detection of respiratory abnormalities in systemic sclerosis. ''Biomed Eng Online''. 2021 Mar 25; '''20''' (1):31
Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters. Description: Liu, Yichuan, et al. Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters. ''Int J Mol Sci''. 2021 Mar 25; '''22''' (7):
Membrane Interactions of alpha-Synuclein Revealed by Multiscale Molecular Dynamics Simulations, Markov State Models, and NMR. Description: Amos, Sarah-Beth T A, et al. Membrane Interactions of alpha-Synuclein Revealed by Multiscale Molecular Dynamics Simulations, Markov State Models, and NMR. ''J Phys Chem B''. 2021 Mar 25; '''125''' (11):2929-2941
Prediction of Fruity Aroma Intensity and Defect Presence in Virgin Olive Oil Using an Electronic Nose. Description: Cano Marchal, Pablo, et al. Prediction of Fruity Aroma Intensity and Defect Presence in Virgin Olive Oil Using an Electronic Nose. ''Sensors (Basel)''. 2021 Mar 25; '''21''' (7):
SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptors. Description: Kumar, Surendra, et al. SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptors. ''J Cheminform''. 2021 Mar 25; '''13''' (1):28
Trivial and nontrivial error sources account for misidentification of protein partners in mutual information approaches. Description: Pontes, Camila, et al. Trivial and nontrivial error sources account for misidentification of protein partners in mutual information approaches. ''Sci Rep''. 2021 Mar 25; '''11''' (1):6902
CENP-A overexpression promotes distinct fates in human cells, depending on p53 status. Description: Jeffery, Daniel, et al. CENP-A overexpression promotes distinct fates in human cells, depending on p53 status. ''Commun Biol''. 2021 Mar 26; '''4''' (1):417
Development of deep learning algorithms for predicting blastocyst formation and quality by time-lapse monitoring. Description: Liao, Qiuyue, et al. Development of deep learning algorithms for predicting blastocyst formation and quality by time-lapse monitoring. ''Commun Biol''. 2021 Mar 26; '''4''' (1):415
DNA replication origins retain mobile licensing proteins. Description: Sanchez, Humberto, et al. DNA replication origins retain mobile licensing proteins. ''Nat Commun''. 2021 Mar 26; '''12''' (1):1908
Predicting the membrane permeability of organic fluorescent probes by the deep neural network based lipophilicity descriptor DeepFl-LogP. Description: Soliman, Kareem, et al. Predicting the membrane permeability of organic fluorescent probes by the deep neural network based lipophilicity descriptor DeepFl-LogP. ''Sci Rep''. 2021 Mar 26; '''11''' (1):6991
The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT. Description: Xiong, Fei, et al. The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT. ''Medicine (Baltimore)''. 2021 Mar 26; '''100''' (12):e25307
A key role for the transporter OAT1 in systemic lipid metabolism. Description: Granados, Jeffry C, et al. A key role for the transporter OAT1 in systemic lipid metabolism. ''J Biol Chem''. 2021 Mar 27; 100603
DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, feasible, and clinically relevant thalamic atrophy measurement on clinical quality T2-FLAIR MRI in multiple sclerosis. Description: Dwyer, Michael, et al. DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, feasible, and clinically relevant thalamic atrophy measurement on clinical quality T2-FLAIR MRI in multiple sclerosis. ''Neuroimage Clin''. 2021 Mar 29; '''30''': 102652
Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study. Description: Yang, Huan, et al. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study. ''BMC Med''. 2021 Mar 29; '''19''' (1):80
Epigenomic tensor predicts disease subtypes and reveals constrained tumor evolution. Description: Leistico, Jacob R, et al. Epigenomic tensor predicts disease subtypes and reveals constrained tumor evolution. ''Cell Rep''. 2021 Mar 30; '''34''' (13):108927
Large-scale labeling and assessment of sex bias in publicly available expression data. Description: Flynn, Emily, et al. Large-scale labeling and assessment of sex bias in publicly available expression data. ''BMC Bioinformatics''. 2021 Mar 30; '''22''' (1):168
Machine learning predicts nucleosome binding modes of transcription factors. Description: Kishan, K C, et al. Machine learning predicts nucleosome binding modes of transcription factors. ''BMC Bioinformatics''. 2021 Mar 30; '''22''' (1):166
Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning Techniques. Description: Kim, Young Jae, et al. Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning Techniques. ''Diagnostics (Basel)''. 2021 Mar 30; '''11''' (4):
Bacterial community structure alterations within the colorectal cancer gut microbiome. Description: Loftus, Mark, et al. Bacterial community structure alterations within the colorectal cancer gut microbiome. ''BMC Microbiol''. 2021 Mar 31; '''21''' (1):98
Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation. Description: Chen, Chaojin, et al. Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation. ''Respir Res''. 2021 Mar 31; '''22''' (1):94
Harnessing machine learning to guide phylogenetic-tree search algorithms. Description: Azouri, Dana, et al. Harnessing machine learning to guide phylogenetic-tree search algorithms. ''Nat Commun''. 2021 Mar 31; '''12''' (1):1983
A computed tomography (CT)-derived radiomics approach for predicting primary co-mutations involving TP53 and epidermal growth factor receptor (EGFR) in patients with advanced lung adenocarcinomas (LUAD). Description: Zhu, Ying, et al. A computed tomography (CT)-derived radiomics approach for predicting primary co-mutations involving TP53 and epidermal growth factor receptor (EGFR) in patients with advanced lung adenocarcinomas (LUAD). ''Ann Transl Med''. 2021 Apr; '''9''' (7):545
A first-generation pediatric cancer dependency map. Description: Dharia, Neekesh V, et al. A first-generation pediatric cancer dependency map. ''Nat Genet''. 2021 Apr; '''53''' (4):529-538
Anesthetics fragment hippocampal network activity, alter spine dynamics, and affect memory consolidation. Description: Yang, Wei, et al. Anesthetics fragment hippocampal network activity, alter spine dynamics, and affect memory consolidation. ''PLoS Biol''. 2021 Apr; '''19''' (4):e3001146
Assessment of Overuse of Medical Tests and Treatments at US Hospitals Using Medicare Claims. Description: Chalmers, Kelsey, et al. Assessment of Overuse of Medical Tests and Treatments at US Hospitals Using Medicare Claims. ''JAMA Netw Open''. 2021 Apr 1; '''4''' (4):e218075
Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer. Description: Humbert-Vidan, Laia, et al. Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer. ''Br J Radiol''. 2021 Apr 1; '''94''' (1120):20200026
Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. Description: Deneu, Benjamin, et al. Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. ''PLoS Comput Biol''. 2021 Apr; '''17''' (4):e1008856
Design and Additive Manufacturing of Porous Sound Absorbers-A Machine-Learning Approach. Description: Kuschmitz, Sebastian, et al. Design and Additive Manufacturing of Porous Sound Absorbers-A Machine-Learning Approach. ''Materials (Basel)''. 2021 Apr 1; '''14''' (7):
Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip. Description: Burroughs, Laurence, et al. Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip. ''Biomaterials''. 2021 Apr; '''271''': 120740
Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience. Description: Chang, Luke J, et al. Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience. ''Sci Adv''. 2021 Apr; '''7''' (17):
Genomic Epidemiology of SARS-CoV-2 Infection During the Initial Pandemic Wave and Association With Disease Severity. Description: Esper, Frank P, et al. Genomic Epidemiology of SARS-CoV-2 Infection During the Initial Pandemic Wave and Association With Disease Severity. ''JAMA Netw Open''. 2021 Apr 1; '''4''' (4):e217746
HARVESTMAN: a framework for hierarchical feature learning and selection from whole genome sequencing data. Description: Frisby, Trevor S, et al. HARVESTMAN: a framework for hierarchical feature learning and selection from whole genome sequencing data. ''BMC Bioinformatics''. 2021 Apr 1; '''22''' (1):174
Infants' neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language disorders. Description: Zhao, T Christina, et al. Infants' neural speech discrimination predicts individual differences in grammar ability at 6 years of age and their risk of developing speech-language disorders. ''Dev Cogn Neurosci''. 2021 Apr; '''48''': 100949
Machine learning-based investigation of the cancer protein secretory pathway. Description: Saghaleyni, Rasool, et al. Machine learning-based investigation of the cancer protein secretory pathway. ''PLoS Comput Biol''. 2021 Apr; '''17''' (4):e1008898
Machine learning models to predict red blood cell transfusion in patients undergoing mitral valve surgery. Description: Liu, Shun, et al. Machine learning models to predict red blood cell transfusion in patients undergoing mitral valve surgery. ''Ann Transl Med''. 2021 Apr; '''9''' (7):530
Neuroimaging, Urinary, and Plasma Biomarkers of Treatment Response in Huntington's Disease: Preclinical Evidence with the p75(NTR) Ligand LM11A-31. Description: Simmons, Danielle A, et al. Neuroimaging, Urinary, and Plasma Biomarkers of Treatment Response in Huntington's Disease: Preclinical Evidence with the p75(NTR) Ligand LM11A-31. ''Neurotherapeutics''. 2021 Apr; '''18''' (2):1039-1063
ORN: Inferring patient-specific dysregulation status of pathway modules in cancer with OR-gate Network. Description: Liang, Lifan, et al. ORN: Inferring patient-specific dysregulation status of pathway modules in cancer with OR-gate Network. ''PLoS Comput Biol''. 2021 Apr; '''17''' (4):e1008792
Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine- and deep-learning approaches. Description: Ciallella, Heather L, et al. Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine- and deep-learning approaches. ''Lab Invest''. 2021 Apr; '''101''' (4):490-502
Spatially aware clustering of ion images in mass spectrometry imaging data using deep learning. Description: Zhang, Wanqiu, et al. Spatially aware clustering of ion images in mass spectrometry imaging data using deep learning. ''Anal Bioanal Chem''. 2021 Apr; '''413''' (10):2803-2819
Systematic comparison and prediction of the effects of missense mutations on protein-DNA and protein-RNA interactions. Description: Jiang, Yao, et al. Systematic comparison and prediction of the effects of missense mutations on protein-DNA and protein-RNA interactions. ''PLoS Comput Biol''. 2021 Apr; '''17''' (4):e1008951
Transcriptomic data of Clozapine-treated Ngn2-induced Human Excitatory Neurons. Description: Lam, Anh-Thu N, et al. Transcriptomic data of Clozapine-treated Ngn2-induced Human Excitatory Neurons. ''Data Brief''. 2021 Apr; '''35''': 106897
Virus-derived variation in diverse human genomes. Description: Kojima, Shohei, et al. Virus-derived variation in diverse human genomes. ''PLoS Genet''. 2021 Apr; '''17''' (4):e1009324
VolPy: Automated and scalable analysis pipelines for voltage imaging datasets. Description: Cai, Changjia, et al. VolPy: Automated and scalable analysis pipelines for voltage imaging datasets. ''PLoS Comput Biol''. 2021 Apr; '''17''' (4):e1008806
Diagnostic Classification and Biomarker Identification of Alzheimer's Disease with Random Forest Algorithm. Description: Song, Minseok, et al. Diagnostic Classification and Biomarker Identification of Alzheimer's Disease with Random Forest Algorithm. ''Brain Sci''. 2021 Apr 2; '''11''' (4):
Iterative guided machine learning-assisted systematic literature reviews: a diabetes case study. Description: Zimmerman, John, et al. Iterative guided machine learning-assisted systematic literature reviews: a diabetes case study. ''Syst Rev''. 2021 Apr 2; '''10''' (1):97
mokapot: Fast and Flexible Semisupervised Learning for Peptide Detection. Description: Fondrie, William E, et al. mokapot: Fast and Flexible Semisupervised Learning for Peptide Detection. ''J Proteome Res''. 2021 Apr 2; '''20''' (4):1966-1971
Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study. Description: Xi, Qingsong, et al. Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study. ''Reprod Biol Endocrinol''. 2021 Apr 5; '''19''' (1):53
Single-cell analyses identify circulating anti-tumor CD8 T cells and markers for their enrichment. Description: Pauken, Kristen E, et al. Single-cell analyses identify circulating anti-tumor CD8 T cells and markers for their enrichment. ''J Exp Med''. 2021 Apr 5; '''218''' (4):
Stochastic combinations of actin regulatory proteins are sufficient to drive filopodia formation. Description: Dobramysl, Ulrich, et al. Stochastic combinations of actin regulatory proteins are sufficient to drive filopodia formation. ''J Cell Biol''. 2021 Apr 5; '''220''' (4):
Synonymous variants that disrupt messenger RNA structure are significantly constrained in the human population. Description: Gaither, Jeffrey B S, et al. Synonymous variants that disrupt messenger RNA structure are significantly constrained in the human population. ''Gigascience''. 2021 Apr 5; '''10''' (4):
The prediction of asymptomatic carotid atherosclerosis with electronic health records: a comparative study of six machine learning models. Description: Fan, Jiaxin, et al. The prediction of asymptomatic carotid atherosclerosis with electronic health records: a comparative study of six machine learning models. ''BMC Med Inform Decis Mak''. 2021 Apr 5; '''21''' (1):115
Can a deep learning model based on intraoperative time-series monitoring data predict post-hysterectomy quality of recovery? Description: Zhao, Xu, et al. Can a deep learning model based on intraoperative time-series monitoring data predict post-hysterectomy quality of recovery? ''Perioper Med (Lond)''. 2021 Apr 6; '''10''' (1):8
Detection of Adulteration in Infant Formula Based on Ensemble Convolutional Neural Network and Near-Infrared Spectroscopy. Description: Liu, Yisen, et al. Detection of Adulteration in Infant Formula Based on Ensemble Convolutional Neural Network and Near-Infrared Spectroscopy. ''Foods''. 2021 Apr 6; '''10''' (4):
Identification of People with Diabetes Treatment through Lipids Profile Using Machine Learning Algorithms. Description: Alcala-Rmz, Vanessa, et al. Identification of People with Diabetes Treatment through Lipids Profile Using Machine Learning Algorithms. ''Healthcare (Basel)''. 2021 Apr 6; '''9''' (4):
MetaTREE, a Novel Database Focused on Metabolic Trees, Predicts an Important Detoxification Mechanism: The Glutathione Conjugation. Description: Mazzolari, Angelica, et al. MetaTREE, a Novel Database Focused on Metabolic Trees, Predicts an Important Detoxification Mechanism: The Glutathione Conjugation. ''Molecules''. 2021 Apr 6; '''26''' (7):
Development of machine learning model for diagnostic disease prediction based on laboratory tests. Description: Park, Dong Jin, et al. Development of machine learning model for diagnostic disease prediction based on laboratory tests. ''Sci Rep''. 2021 Apr 7; '''11''' (1):7567
Diagnostic Classification and Prognostic Prediction Using Common Genetic Variants in Autism Spectrum Disorder: Genotype-Based Deep Learning. Description: Wang, Haishuai, et al. Diagnostic Classification and Prognostic Prediction Using Common Genetic Variants in Autism Spectrum Disorder: Genotype-Based Deep Learning. ''JMIR Med Inform''. 2021 Apr 7; '''9''' (4):e24754
Efficient collection of a large number of mutations by mutagenesis of DNA damage response defective animals. Description: Suehiro, Yuji, et al. Efficient collection of a large number of mutations by mutagenesis of DNA damage response defective animals. ''Sci Rep''. 2021 Apr 7; '''11''' (1):7630
Increased Hippocampal Excitability and Altered Learning Dynamics Mediate Cognitive Mapping Deficits in Human Aging. Description: Diersch, Nadine, et al. Increased Hippocampal Excitability and Altered Learning Dynamics Mediate Cognitive Mapping Deficits in Human Aging. ''J Neurosci''. 2021 Apr 7; '''41''' (14):3204-3221
Predicting cell-penetrating peptides using machine learning algorithms and navigating in their chemical space. Description: de Oliveira, Ewerton Cristhian Lima, et al. Predicting cell-penetrating peptides using machine learning algorithms and navigating in their chemical space. ''Sci Rep''. 2021 Apr 7; '''11''' (1):7628
Antibodies to the SARS-CoV-2 receptor-binding domain that maximize breadth and resistance to viral escape. Description: Starr, Tyler N, et al. Antibodies to the SARS-CoV-2 receptor-binding domain that maximize breadth and resistance to viral escape. ''bioRxiv''. 2021 Apr 8;
Benchmark of Popular Free Energy Approaches Revealing the Inhibitors Binding to SARS-CoV-2 Mpro. Description: Ngo, Son Tung, et al. Benchmark of Popular Free Energy Approaches Revealing the Inhibitors Binding to SARS-CoV-2 Mpro. ''J Chem Inf Model''. 2021 Apr 8;
Conformational Plasticity-Rigidity Axis of the Coagulation Factor VII Zymogen Elucidated by Atomistic Simulations of the N-Terminally Truncated Factor VIIa Protease Domain. Description: Madsen, Jesper J, et al. Conformational Plasticity-Rigidity Axis of the Coagulation Factor VII Zymogen Elucidated by Atomistic Simulations of the N-Terminally Truncated Factor VIIa Protease Domain. ''Biomolecules''. 2021 Apr 8; '''11''' (4):
Deep learning-based molecular morphometrics for kidney biopsies. Description: Zimmermann, Marina, et al. Deep learning-based molecular morphometrics for kidney biopsies. ''JCI Insight''. 2021 Apr 8; '''6''' (7):
Identification of a series of hair-cell MET channel blockers that protect against aminoglycoside-induced ototoxicity. Description: Kenyon, Emma J, et al. Identification of a series of hair-cell MET channel blockers that protect against aminoglycoside-induced ototoxicity. ''JCI Insight''. 2021 Apr 8; '''6''' (7):
Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning. Description: Maciel-Guerra, Alexandre, et al. Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning. ''Sci Rep''. 2021 Apr 8; '''11''' (1):7736
Using Speech Data From Interactions With a Voice Assistant to Predict the Risk of Future Accidents for Older Drivers: Prospective Cohort Study. Description: Yamada, Yasunori, et al. Using Speech Data From Interactions With a Voice Assistant to Predict the Risk of Future Accidents for Older Drivers: Prospective Cohort Study. ''J Med Internet Res''. 2021 Apr 8; '''23''' (4):e27667
A Natural Language Processing-Based Virtual Patient Simulator and Intelligent Tutoring System for the Clinical Diagnostic Process: Simulator Development and Case Study. Description: Furlan, Raffaello, et al. A Natural Language Processing-Based Virtual Patient Simulator and Intelligent Tutoring System for the Clinical Diagnostic Process: Simulator Development and Case Study. ''JMIR Med Inform''. 2021 Apr 9; '''9''' (4):e24073
Geometric graphs from data to aid classification tasks with Graph Convolutional Networks. Description: Qian, Yifan, et al. Geometric graphs from data to aid classification tasks with Graph Convolutional Networks. ''Patterns (N Y)''. 2021 Apr 9; '''2''' (4):100237
Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classification. Description: Harrison, Laura A, et al. Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classification. ''Sci Rep''. 2021 Apr 9; '''11''' (1):7839
Multi-View Data Integration Methods for Radiotherapy Structure Name Standardization. Description: Syed, Khajamoinuddin, et al. Multi-View Data Integration Methods for Radiotherapy Structure Name Standardization. ''Cancers (Basel)''. 2021 Apr 9; '''13''' (8):
Polymer informatics with multi-task learning. Description: Kuenneth, Christopher, et al. Polymer informatics with multi-task learning. ''Patterns (N Y)''. 2021 Apr 9; '''2''' (4):100238
reval: A Python package to determine best clustering solutions with stability-based relative clustering validation. Description: Landi, Isotta, et al. reval: A Python package to determine best clustering solutions with stability-based relative clustering validation. ''Patterns (N Y)''. 2021 Apr 9; '''2''' (4):100228
Unsupervised phenotyping of sepsis using nonnegative matrix factorization of temporal trends from a multivariate panel of physiological measurements. Description: Ding, Menghan, et al. Unsupervised phenotyping of sepsis using nonnegative matrix factorization of temporal trends from a multivariate panel of physiological measurements. ''BMC Med Inform Decis Mak''. 2021 Apr 9; '''21''' (Suppl 5):95
Simultaneous Identification of EGFR,KRAS,ERBB2, and TP53 Mutations in Patients with Non-Small Cell Lung Cancer by Machine Learning-Derived Three-Dimensional Radiomics. Description: Zhang, Tiening, et al. Simultaneous Identification of EGFR,KRAS,ERBB2, and TP53 Mutations in Patients with Non-Small Cell Lung Cancer by Machine Learning-Derived Three-Dimensional Radiomics. ''Cancers (Basel)''. 2021 Apr 10; '''13''' (8):
AKT Inhibitors: The Road Ahead to Computational Modeling-Guided Discovery. Description: Halder, Amit Kumar, et al. AKT Inhibitors: The Road Ahead to Computational Modeling-Guided Discovery. ''Int J Mol Sci''. 2021 Apr 11; '''22''' (8):
A cell-to-patient machine learning transfer approach uncovers novel basal-like breast cancer prognostic markers amongst alternative splice variants. Description: Villemin, Jean-Philippe, et al. A cell-to-patient machine learning transfer approach uncovers novel basal-like breast cancer prognostic markers amongst alternative splice variants. ''BMC Biol''. 2021 Apr 12; '''19''' (1):70
Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic. Description: To, Quyen G, et al. Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic. ''Int J Environ Res Public Health''. 2021 Apr 12; '''18''' (8):
Distinct neuronal populations contribute to trace conditioning and extinction learning in the hippocampal CA1. Description: Mount, Rebecca A, et al. Distinct neuronal populations contribute to trace conditioning and extinction learning in the hippocampal CA1. ''Elife''. 2021 Apr 12; '''10''':
Dyskinesia estimation during activities of daily living using wearable motion sensors and deep recurrent networks. Description: Hssayeni, Murtadha D, et al. Dyskinesia estimation during activities of daily living using wearable motion sensors and deep recurrent networks. ''Sci Rep''. 2021 Apr 12; '''11''' (1):7865
Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning. Description: Kim, Jeoung Kun, et al. Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning. ''Sci Rep''. 2021 Apr 12; '''11''' (1):7989
Proteogenomic and metabolomic characterization of human glioblastoma. Description: Wang, Liang-Bo, et al. Proteogenomic and metabolomic characterization of human glioblastoma. ''Cancer Cell''. 2021 Apr 12; '''39''' (4):509-528.e20
Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models. Description: Lim, JongYoon, et al. Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models. ''Sensors (Basel)''. 2021 Apr 12; '''21''' (8):
The cognitive and perceptual correlates of ideological attitudes: a data-driven approach. Description: Zmigrod, Leor, et al. The cognitive and perceptual correlates of ideological attitudes: a data-driven approach. ''Philos Trans R Soc Lond B Biol Sci''. 2021 Apr 12; '''376''' (1822):20200424
Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning. Description: Zhao, Yicheng, et al. Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning. ''Nat Commun''. 2021 Apr 13; '''12''' (1):2191
Learning the molecular grammar of protein condensates from sequence determinants and embeddings. Description: Saar, Kadi L, et al. Learning the molecular grammar of protein condensates from sequence determinants and embeddings. ''Proc Natl Acad Sci U S A''. 2021 Apr 13; '''118''' (15):
Metabolite Profile of Treatment-Naive Metabolic Syndrome Subjects in Relation to Cardiovascular Disease Risk. Description: Warmbrunn, Moritz V, et al. Metabolite Profile of Treatment-Naive Metabolic Syndrome Subjects in Relation to Cardiovascular Disease Risk. ''Metabolites''. 2021 Apr 13; '''11''' (4):
OTUs and ASVs Produce Comparable Taxonomic and Diversity from Shrimp Microbiota 16S Profiles Using Tailored Abundance Filters. Description: Garcia-Lopez, Rodrigo, et al. OTUs and ASVs Produce Comparable Taxonomic and Diversity from Shrimp Microbiota 16S Profiles Using Tailored Abundance Filters. ''Genes (Basel)''. 2021 Apr 13; '''12''' (4):
Quantitative structure-activity relationship models for genotoxicity prediction based on combination evaluation strategies for toxicological alternative experiments. Description: Yang, Xiaotong, et al. Quantitative structure-activity relationship models for genotoxicity prediction based on combination evaluation strategies for toxicological alternative experiments. ''Sci Rep''. 2021 Apr 13; '''11''' (1):8030
TAILOR-MS, a Python Package that Deciphers Complex Triacylglycerol Fatty Acyl Structures: Applications for Bovine Milk and Infant Formulas. Description: Peng, Kang-Yu, et al. TAILOR-MS, a Python Package that Deciphers Complex Triacylglycerol Fatty Acyl Structures: Applications for Bovine Milk and Infant Formulas. ''Anal Chem''. 2021 Apr 13; '''93''' (14):5684-5690
A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images. Description: Kanavati, Fahdi, et al. A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images. ''Sci Rep''. 2021 Apr 14; '''11''' (1):8110
BonZeb: open-source, modular software tools for high-resolution zebrafish tracking and analysis. Description: Guilbeault, Nicholas C, et al. BonZeb: open-source, modular software tools for high-resolution zebrafish tracking and analysis. ''Sci Rep''. 2021 Apr 14; '''11''' (1):8148
Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation. Description: Dominguez-Olmedo, Juan L, et al. Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation. ''J Med Internet Res''. 2021 Apr 14; '''23''' (4):e26211
Establishing Machine Learning Models to Predict Curative Resection in Early Gastric Cancer with Undifferentiated Histology: Development and Usability Study. Description: Bang, Chang Seok, et al. Establishing Machine Learning Models to Predict Curative Resection in Early Gastric Cancer with Undifferentiated Histology: Development and Usability Study. ''J Med Internet Res''. 2021 Apr 15; '''23''' (4):e25053
Gastrointestinal Surgery for Inflammatory Bowel Disease Persistently Lowers Microbiome and Metabolome Diversity. Description: Fang, Xin, et al. Gastrointestinal Surgery for Inflammatory Bowel Disease Persistently Lowers Microbiome and Metabolome Diversity. ''Inflamm Bowel Dis''. 2021 Apr 15; '''27''' (5):603-616
Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methods. Description: Zong, Hui, et al. Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methods. ''BMC Med Inform Decis Mak''. 2021 Apr 15; '''21''' (1):128
Detection of COVID-19 from CT scan images: A spiking neural network-based approach. Description: Garain, Avishek, et al. Detection of COVID-19 from CT scan images: A spiking neural network-based approach. ''Neural Comput Appl''. 2021 Apr 16; 1-14
Meropenem Stability in Human Plasma at -20 degrees C: Detailed Assessment of Degradation. Description: Gijsen, Matthias, et al. Meropenem Stability in Human Plasma at -20 degrees C: Detailed Assessment of Degradation. ''Antibiotics (Basel)''. 2021 Apr 16; '''10''' (4):
Predicting Long-Term Mortality in TAVI Patients Using Machine Learning Techniques. Description: Penso, Marco, et al. Predicting Long-Term Mortality in TAVI Patients Using Machine Learning Techniques. ''J Cardiovasc Dev Dis''. 2021 Apr 16; '''8''' (4):
Machine Learning in Prediction of IgA Nephropathy Outcome: A Comparative Approach. Description: Konieczny, Andrzej, et al. Machine Learning in Prediction of IgA Nephropathy Outcome: A Comparative Approach. ''J Pers Med''. 2021 Apr 17; '''11''' (4):
A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. Description: Naito, Yoshiki, et al. A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. ''Sci Rep''. 2021 Apr 19; '''11''' (1):8454
A statistical approach for tracking clonal dynamics in cancer using longitudinal next-generation sequencing data. Description: Vavoulis, Dimitrios V, et al. A statistical approach for tracking clonal dynamics in cancer using longitudinal next-generation sequencing data. ''Bioinformatics''. 2021 Apr 19; '''37''' (2):147-154
CentTracker: a trainable, machine-learning-based tool for large-scale analyses of Caenorhabditis elegans germline stem cell mitosis. Description: Zellag, Reda M, et al. CentTracker: a trainable, machine-learning-based tool for large-scale analyses of Caenorhabditis elegans germline stem cell mitosis. ''Mol Biol Cell''. 2021 Apr 19; '''32''' (9):915-930
Dynein self-organizes while translocating the centrosome in T-cells. Description: Gros, Oane J, et al. Dynein self-organizes while translocating the centrosome in T-cells. ''Mol Biol Cell''. 2021 Apr 19; '''32''' (9):855-868
Genetic basis of offspring number-body weight tradeoff in Drosophila melanogaster. Description: Akhund-Zade, Jamilla, et al. Genetic basis of offspring number-body weight tradeoff in Drosophila melanogaster. ''G3 (Bethesda)''. 2021 Apr 19;
Machine learning analysis to predict the need for ankle foot orthosis in patients with stroke. Description: Choo, Yoo Jin, et al. Machine learning analysis to predict the need for ankle foot orthosis in patients with stroke. ''Sci Rep''. 2021 Apr 19; '''11''' (1):8499
Machine Learning-Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study. Description: Lv, Haichen, et al. Machine Learning-Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study. ''J Med Internet Res''. 2021 Apr 19; '''23''' (4):e24996
Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation. Description: Chung, Heewon, et al. Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation. ''J Med Internet Res''. 2021 Apr 19; '''23''' (4):e27060
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients. Description: Calesella, Federico, et al. A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients. ''Brain Inform''. 2021 Apr 20; '''8''' (1):8
Discovery of a New, Recurrent Enzyme in Bacterial Phosphonate Degradation: (R)-1-Hydroxy-2-aminoethylphosphonate Ammonia-lyase. Description: Zangelmi, Erika, et al. Discovery of a New, Recurrent Enzyme in Bacterial Phosphonate Degradation: (R)-1-Hydroxy-2-aminoethylphosphonate Ammonia-lyase. ''Biochemistry''. 2021 Apr 20; '''60''' (15):1214-1225
Feature Selection Methods for Protein Biomarker Discovery from Proteomics or Multiomics Data. Description: Shi, Zhiao, et al. Feature Selection Methods for Protein Biomarker Discovery from Proteomics or Multiomics Data. ''Mol Cell Proteomics''. 2021 Apr 20; '''20''': 100083
Learning the Mental Health Impact of COVID-19 in the United States With Explainable Artificial Intelligence: Observational Study. Description: Jha, Indra Prakash, et al. Learning the Mental Health Impact of COVID-19 in the United States With Explainable Artificial Intelligence: Observational Study. ''JMIR Ment Health''. 2021 Apr 20; '''8''' (4):e25097
Clinical evaluation of Bladder CARE, a new epigenetic test for bladder cancer detection in urine samples. Description: Piatti, Paolo, et al. Clinical evaluation of Bladder CARE, a new epigenetic test for bladder cancer detection in urine samples. ''Clin Epigenetics''. 2021 Apr 21; '''13''' (1):84
AI-based analysis of CT images for rapid triage of COVID-19 patients. Description: Xu, Qinmei, et al. AI-based analysis of CT images for rapid triage of COVID-19 patients. ''NPJ Digit Med''. 2021 Apr 22; '''4''' (1):75
Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting. Description: Lopez-Martin, Manuel, et al. Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting. ''Sensors (Basel)''. 2021 Apr 23; '''21''' (9):
Artificial intelligence-based nomogram for small-incision lenticule extraction. Description: Park, Seungbin, et al. Artificial intelligence-based nomogram for small-incision lenticule extraction. ''Biomed Eng Online''. 2021 Apr 23; '''20''' (1):38
Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 2: speed, consistency, diversity selection. Description: Miranda-Quintana, Ramon Alain, et al. Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 2: speed, consistency, diversity selection. ''J Cheminform''. 2021 Apr 23; '''13''' (1):33
Non-invasive cell classification using the Paint Raman Express Spectroscopy System (PRESS). Description: Akagi, Yuka, et al. Non-invasive cell classification using the Paint Raman Express Spectroscopy System (PRESS). ''Sci Rep''. 2021 Apr 23; '''11''' (1):8818
Traffic Congestion Analysis Based on a Web-GIS and Data Mining of Traffic Events from Twitter. Description: Salazar-Carrillo, Juan, et al. Traffic Congestion Analysis Based on a Web-GIS and Data Mining of Traffic Events from Twitter. ''Sensors (Basel)''. 2021 Apr 23; '''21''' (9):
iT4SE-EP: Accurate Identification of Bacterial Type IV Secreted Effectors by Exploring Evolutionary Features from Two PSI-BLAST Profiles. Description: Han, Haitao, et al. iT4SE-EP: Accurate Identification of Bacterial Type IV Secreted Effectors by Exploring Evolutionary Features from Two PSI-BLAST Profiles. ''Molecules''. 2021 Apr 24; '''26''' (9):
Tubulin Inhibitors: A Chemoinformatic Analysis Using Cell-Based Data. Description: Lopez-Lopez, Edgar, et al. Tubulin Inhibitors: A Chemoinformatic Analysis Using Cell-Based Data. ''Molecules''. 2021 Apr 24; '''26''' (9):
Soft Sensor Development for Real-Time Process Monitoring of Multidimensional Fractionation in Tubular Centrifuges. Description: Winkler, Marvin, et al. Soft Sensor Development for Real-Time Process Monitoring of Multidimensional Fractionation in Tubular Centrifuges. ''Nanomaterials (Basel)''. 2021 Apr 25; '''11''' (5):
Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection. Description: Krittanawong, Chayakrit, et al. Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection. ''Sci Rep''. 2021 Apr 26; '''11''' (1):8992
Using Machine Learning to Predict Invasive Bacterial Infections in Young Febrile Infants Visiting the Emergency Department. Description: Chiu, I-Min, et al. Using Machine Learning to Predict Invasive Bacterial Infections in Young Febrile Infants Visiting the Emergency Department. ''J Clin Med''. 2021 Apr 26; '''10''' (9):
Auto-classification of biomass through characterization of their pyrolysis behaviors using thermogravimetric analysis with support vector machine algorithm: case study for tobacco. Description: Yin, Chao, et al. Auto-classification of biomass through characterization of their pyrolysis behaviors using thermogravimetric analysis with support vector machine algorithm: case study for tobacco. ''Biotechnol Biofuels''. 2021 Apr 27; '''14''' (1):106
Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study. Description: Low, Carissa A, et al. Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study. ''JMIR Cancer''. 2021 Apr 27; '''7''' (2):e27975
Siamese Recurrent Neural Network with a Self-Attention Mechanism for Bioactivity Prediction. Description: Fernandez-Llaneza, Daniel, et al. Siamese Recurrent Neural Network with a Self-Attention Mechanism for Bioactivity Prediction. ''ACS Omega''. 2021 Apr 27; '''6''' (16):11086-11094
Predictive Values of Preoperative Characteristics for 30-Day Mortality in Traumatic Hip Fracture Patients. Description: Cao, Yang, et al. Predictive Values of Preoperative Characteristics for 30-Day Mortality in Traumatic Hip Fracture Patients. ''J Pers Med''. 2021 Apr 28; '''11''' (5):
A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images. Description: Almalki, Yassir Edrees, et al. A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images. ''Healthcare (Basel)''. 2021 Apr 29; '''9''' (5):
Evaluating the transcriptional fidelity of cancer models. Description: Peng, Da, et al. Evaluating the transcriptional fidelity of cancer models. ''Genome Med''. 2021 Apr 29; '''13''' (1):73
Anna Karenina and the subgingival microbiome associated with periodontitis. Description: Altabtbaei, Khaled, et al. Anna Karenina and the subgingival microbiome associated with periodontitis. ''Microbiome''. 2021 Apr 30; '''9''' (1):97
FLIPPER: Predicting and Characterizing Linear Interacting Peptides in the Protein Data Bank. Description: Monzon, Alexander Miguel, et al. FLIPPER: Predicting and Characterizing Linear Interacting Peptides in the Protein Data Bank. ''J Mol Biol''. 2021 Apr 30; '''433''' (9):166900
Protamine Characterization by Top-Down Proteomics: Boosting Proteoform Identification with DBSCAN. Description: Arauz-Garofalo, Gianluca, et al. Protamine Characterization by Top-Down Proteomics: Boosting Proteoform Identification with DBSCAN. ''Proteomes''. 2021 Apr 30; '''9''' (2):
A deep learning algorithm for 3D cell detection in whole mouse brain image datasets. Description: Tyson, Adam L, et al. A deep learning algorithm for 3D cell detection in whole mouse brain image datasets. ''PLoS Comput Biol''. 2021 May; '''17''' (5):e1009074
Analysis and visualization of sleep stages based on deep neural networks. Description: Krauss, Patrick, et al. Analysis and visualization of sleep stages based on deep neural networks. ''Neurobiol Sleep Circadian Rhythms''. 2021 May; '''10''': 100064
An emergent neural coactivity code for dynamic memory. Description: El-Gaby, Mohamady, et al. An emergent neural coactivity code for dynamic memory. ''Nat Neurosci''. 2021 May; '''24''' (5):694-704
Associations between COVID-19 and 30-day thromboembolic events and mortality in people with dementia receiving antipsychotic medications. Description: Harrison, Stephanie L, et al. Associations between COVID-19 and 30-day thromboembolic events and mortality in people with dementia receiving antipsychotic medications. ''Pharmacol Res''. 2021 May; '''167''': 105534
Cardiac cell type-specific gene regulatory programs and disease risk association. Description: Hocker, James D, et al. Cardiac cell type-specific gene regulatory programs and disease risk association. ''Sci Adv''. 2021 May; '''7''' (20):
Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles. Description: Yu, Fubo, et al. Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles. ''Sci Adv''. 2021 May; '''7''' (22):
Deep learning integration of molecular and interactome data for protein-compound interaction prediction. Description: Watanabe, Narumi, et al. Deep learning integration of molecular and interactome data for protein-compound interaction prediction. ''J Cheminform''. 2021 May 1; '''13''' (1):36
DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery. Description: Xu, Haodong, et al. DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery. ''Adv Sci (Weinh)''. 2021 May; '''8''' (9):2004958
Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs. Description: Nam, Ju Gang, et al. Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs. ''Eur Respir J''. 2021 May; '''57''' (5):
Ensemble learning models that predict surface protein abundance from single-cell multimodal omics data. Description: Xu, Fan, et al. Ensemble learning models that predict surface protein abundance from single-cell multimodal omics data. ''Methods''. 2021 May; '''189''': 65-73
Mortality prediction for patients with acute respiratory distress syndrome based on machine learning: a population-based study. Description: Huang, Bingsheng, et al. Mortality prediction for patients with acute respiratory distress syndrome based on machine learning: a population-based study. ''Ann Transl Med''. 2021 May; '''9''' (9):794
Natural language processing was effective in assisting rapid title and abstract screening when updating systematic reviews. Description: Qin, Xuan, et al. Natural language processing was effective in assisting rapid title and abstract screening when updating systematic reviews. ''J Clin Epidemiol''. 2021 May; '''133''': 121-129
Plasma microRNA signature in presymptomatic and symptomatic subjects with C9orf72-associated frontotemporal dementia and amyotrophic lateral sclerosis. Description: Kmetzsch, Virgilio, et al. Plasma microRNA signature in presymptomatic and symptomatic subjects with C9orf72-associated frontotemporal dementia and amyotrophic lateral sclerosis. ''J Neurol Neurosurg Psychiatry''. 2021 May; '''92''' (5):485-493
Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning. Description: Shawwa, Khaled, et al. Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning. ''Clin Kidney J''. 2021 May; '''14''' (5):1428-1435
Predicting mean ribosome load for 5'UTR of any length using deep learning. Description: Karollus, Alexander, et al. Predicting mean ribosome load for 5'UTR of any length using deep learning. ''PLoS Comput Biol''. 2021 May; '''17''' (5):e1008982
Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naive Bayes classifier, and traditional logistic regression. Description: van Eeden, Wessel A, et al. Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naive Bayes classifier, and traditional logistic regression. ''Psychiatry Res''. 2021 May; '''299''': 113823
Predictive water virology using regularized regression analyses for projecting virus inactivation efficiency in ozone disinfection. Description: Kadoya, Syun-Suke, et al. Predictive water virology using regularized regression analyses for projecting virus inactivation efficiency in ozone disinfection. ''Water Res X''. 2021 May 1; '''11''': 100093
Quantitative structure-property relationships for the calculation of the soil adsorption coefficient using machine learning algorithms with calculated chemical properties from open-source software. Description: Kobayashi, Yoshiyuki, et al. Quantitative structure-property relationships for the calculation of the soil adsorption coefficient using machine learning algorithms with calculated chemical properties from open-source software. ''Environ Res''. 2021 May; '''196''': 110363
The gradient clusteron: A model neuron that learns to solve classification tasks via dendritic nonlinearities, structural plasticity, and gradient descent. Description: Moldwin, Toviah, et al. The gradient clusteron: A model neuron that learns to solve classification tasks via dendritic nonlinearities, structural plasticity, and gradient descent. ''PLoS Comput Biol''. 2021 May; '''17''' (5):e1009015
The prognostic landscape of tumor-infiltrating immune cells in lung squamous cell carcinoma. Description: Guo, Liang, et al. The prognostic landscape of tumor-infiltrating immune cells in lung squamous cell carcinoma. ''Ann Transl Med''. 2021 May; '''9''' (9):799
Validation of a machine learning approach to estimate Systemic Lupus Erythematosus Disease Activity Index score categories and application in a real-world dataset. Description: Alves, Pedro, et al. Validation of a machine learning approach to estimate Systemic Lupus Erythematosus Disease Activity Index score categories and application in a real-world dataset. ''RMD Open''. 2021 May; '''7''' (2):
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism. Description: Varma, Maya, et al. A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism. ''BioData Min''. 2021 May 3; '''14''' (1):28
Artificial intelligence-based computational framework for drug-target prioritization and inference of novel repositionable drugs for Alzheimer's disease. Description: Tsuji, Shingo, et al. Artificial intelligence-based computational framework for drug-target prioritization and inference of novel repositionable drugs for Alzheimer's disease. ''Alzheimers Res Ther''. 2021 May 3; '''13''' (1):92
Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study. Description: Sato, Yoichi, et al. Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study. ''BMC Musculoskelet Disord''. 2021 May 3; '''22''' (1):407
Learning a genome-wide score of human-mouse conservation at the functional genomics level. Description: Kwon, Soo Bin, et al. Learning a genome-wide score of human-mouse conservation at the functional genomics level. ''Nat Commun''. 2021 May 3; '''12''' (1):2495
Elucidating the Regulatory Elements for Transcription Termination and Posttranscriptional Processing in the Streptomyces clavuligerus Genome. Description: Hwang, Soonkyu, et al. Elucidating the Regulatory Elements for Transcription Termination and Posttranscriptional Processing in the Streptomyces clavuligerus Genome. ''mSystems''. 2021 May 4; '''6''' (3):
GPCR_LigandClassify.py; a rigorous machine learning classifier for GPCR targeting compounds. Description: Ahmed, Marawan, et al. GPCR_LigandClassify.py; a rigorous machine learning classifier for GPCR targeting compounds. ''Sci Rep''. 2021 May 4; '''11''' (1):9510
Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. Description: Beghini, Francesco, et al. Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. ''Elife''. 2021 May 4; '''10''':
Machine learning based models for prediction of subtype diagnosis of primary aldosteronism using blood test. Description: Kaneko, Hiroki, et al. Machine learning based models for prediction of subtype diagnosis of primary aldosteronism using blood test. ''Sci Rep''. 2021 May 4; '''11''' (1):9140
Machine learning-based mortality prediction model for heat-related illness. Description: Hirano, Yohei, et al. Machine learning-based mortality prediction model for heat-related illness. ''Sci Rep''. 2021 May 4; '''11''' (1):9501
Predicting intraventricular hemorrhage growth with a machine learning-based, radiomics-clinical model. Description: Zhu, Dong-Qin, et al. Predicting intraventricular hemorrhage growth with a machine learning-based, radiomics-clinical model. ''Aging (Albany NY)''. 2021 May 4; '''13''' (9):12833-12848
Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning. Description: Navlakha, Saket, et al. Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning. ''BMC Infect Dis''. 2021 May 4; '''21''' (1):391
Hand Gesture Recognition Using EGaIn-Silicone Soft Sensors. Description: Shin, Sungtae, et al. Hand Gesture Recognition Using EGaIn-Silicone Soft Sensors. ''Sensors (Basel)''. 2021 May 5; '''21''' (9):
Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study. Description: Aqajari, Seyed Amir Hossein, et al. Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study. ''JMIR Mhealth Uhealth''. 2021 May 5; '''9''' (5):e25258
SANCDB: an update on South African natural compounds and their readily available analogs. Description: Diallo, Bakary N'tji, et al. SANCDB: an update on South African natural compounds and their readily available analogs. ''J Cheminform''. 2021 May 5; '''13''' (1):37
Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study. Description: Wu, Chia-Tung, et al. Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study. ''JMIR Mhealth Uhealth''. 2021 May 6; '''9''' (5):e22591
Dorsal periaqueductal gray ensembles represent approach and avoidance states. Description: Reis, Fernando McV, et al. Dorsal periaqueductal gray ensembles represent approach and avoidance states. ''Elife''. 2021 May 6; '''10''':
Systematic interrogation of mutation groupings reveals divergent downstream expression programs within key cancer genes. Description: Grzadkowski, Michal R, et al. Systematic interrogation of mutation groupings reveals divergent downstream expression programs within key cancer genes. ''BMC Bioinformatics''. 2021 May 6; '''22''' (1):233
The active DNA-PK holoenzyme occupies a tensed state in a staggered synaptic complex. Description: Hepburn, Morgan, et al. The active DNA-PK holoenzyme occupies a tensed state in a staggered synaptic complex. ''Structure''. 2021 May 6; '''29''' (5):467-478.e6
The peripheral and core regions of virus-host network of COVID-19. Description: Wang, Bingbo, et al. The peripheral and core regions of virus-host network of COVID-19. ''Brief Bioinform''. 2021 May 6;
EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer. Description: Mirsadeghi, Leila, et al. EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer. ''BMC Med Genomics''. 2021 May 7; '''14''' (1):122
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation. Description: Mamandipoor, Behrooz, et al. Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation. ''BMC Med Inform Decis Mak''. 2021 May 7; '''21''' (1):152
Autonomous Fingerprinting and Large Experimental Data Set for Visible Light Positioning. Description: Glass, Tyrel, et al. Autonomous Fingerprinting and Large Experimental Data Set for Visible Light Positioning. ''Sensors (Basel)''. 2021 May 8; '''21''' (9):
A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine Learning. Description: Chiu, Fang-Ying, et al. A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine Learning. ''J Clin Med''. 2021 May 10; '''10''' (9):
Changes in human-nature relations during pandemic outbreaks: a big data analysis. Description: Jaung, Wanggi. Changes in human-nature relations during pandemic outbreaks: a big data analysis. ''Sci Total Environ''. 2021 May 10; '''768''': 144530
Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning model. Description: He, Lingxiao, et al. Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning model. ''BMC Emerg Med''. 2021 May 10; '''21''' (1):60
A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy. Description: Huda, Ahsan, et al. A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy. ''Nat Commun''. 2021 May 11; '''12''' (1):2725
Beyond Tripeptides Two-Step Active Machine Learning for Very Large Data sets. Description: van Teijlingen, Alexander, et al. Beyond Tripeptides Two-Step Active Machine Learning for Very Large Data sets. ''J Chem Theory Comput''. 2021 May 11; '''17''' (5):3221-3232
Developing Relative Humidity and Temperature Corrections for Low-Cost Sensors Using Machine Learning. Description: Vajs, Ivan, et al. Developing Relative Humidity and Temperature Corrections for Low-Cost Sensors Using Machine Learning. ''Sensors (Basel)''. 2021 May 11; '''21''' (10):
Integration of machine learning and genome-scale metabolic modeling identifies multi-omics biomarkers for radiation resistance. Description: Lewis, Joshua E, et al. Integration of machine learning and genome-scale metabolic modeling identifies multi-omics biomarkers for radiation resistance. ''Nat Commun''. 2021 May 11; '''12''' (1):2700
multiSero: open multiplex-ELISA platform for analyzing antibody responses to SARS-CoV-2 infection. Description: Byrum, Janie R, et al. multiSero: open multiplex-ELISA platform for analyzing antibody responses to SARS-CoV-2 infection. ''medRxiv''. 2021 May 11;
Phenotypical predictors of pregnancy-related restless legs syndrome and their association with basal ganglia and the limbic circuits. Description: Chechko, Natalia, et al. Phenotypical predictors of pregnancy-related restless legs syndrome and their association with basal ganglia and the limbic circuits. ''Sci Rep''. 2021 May 11; '''11''' (1):9996
Deep learning for predicting COVID-19 malignant progression. Description: Fang, Cong, et al. Deep learning for predicting COVID-19 malignant progression. ''Med Image Anal''. 2021 May 12; '''72''': 102096
Electrotactile Feedback for the Discrimination of Different Surface Textures Using a Microphone. Description: Svensson, Pamela, et al. Electrotactile Feedback for the Discrimination of Different Surface Textures Using a Microphone. ''Sensors (Basel)''. 2021 May 12; '''21''' (10):
Functional and diffusion MRI reveal the neurophysiological basis of neonates' noxious-stimulus evoked brain activity. Description: Baxter, Luke, et al. Functional and diffusion MRI reveal the neurophysiological basis of neonates' noxious-stimulus evoked brain activity. ''Nat Commun''. 2021 May 12; '''12''' (1):2744
Landscape of allele-specific transcription factor binding in the human genome. Description: Abramov, Sergey, et al. Landscape of allele-specific transcription factor binding in the human genome. ''Nat Commun''. 2021 May 12; '''12''' (1):2751
Variability of Amyloid Propensity in Imperfect Repeats of CsgA Protein of Salmonella enterica and Escherichia coli. Description: Szulc, Natalia, et al. Variability of Amyloid Propensity in Imperfect Repeats of CsgA Protein of Salmonella enterica and Escherichia coli. ''Int J Mol Sci''. 2021 May 12; '''22''' (10):
A retrospective cohort study of 12,306 pediatric COVID-19 patients in the United States. Description: Parcha, Vibhu, et al. A retrospective cohort study of 12,306 pediatric COVID-19 patients in the United States. ''Sci Rep''. 2021 May 13; '''11''' (1):10231
Evaluating machine learning techniques for archaeological lithic sourcing: a case study of flint in Britain. Description: Elliot, Tom, et al. Evaluating machine learning techniques for archaeological lithic sourcing: a case study of flint in Britain. ''Sci Rep''. 2021 May 13; '''11''' (1):10197
High-precision coding in visual cortex. Description: Stringer, Carsen, et al. High-precision coding in visual cortex. ''Cell''. 2021 May 13; '''184''' (10):2767-2778.e15
Implementation of the Freely Jointed Chain Model to Assess Kinetics and Thermodynamics of Thermosensitive Coil-Globule Transition by Markov States. Description: Quoika, Patrick K, et al. Implementation of the Freely Jointed Chain Model to Assess Kinetics and Thermodynamics of Thermosensitive Coil-Globule Transition by Markov States. ''J Phys Chem B''. 2021 May 13; '''125''' (18):4898-4909
Prediction of premature all-cause mortality in patients receiving peritoneal dialysis using modified artificial neural networks. Description: Zhou, Qiongxiu, et al. Prediction of premature all-cause mortality in patients receiving peritoneal dialysis using modified artificial neural networks. ''Aging (Albany NY)''. 2021 May 13; '''13''' (10):14170-14184
Deep learning for diagnosis of acute promyelocytic leukemia via recognition of genomically imprinted morphologic features. Description: Sidhom, John-William, et al. Deep learning for diagnosis of acute promyelocytic leukemia via recognition of genomically imprinted morphologic features. ''NPJ Precis Oncol''. 2021 May 14; '''5''' (1):38
Hierarchical progressive learning of cell identities in single-cell data. Description: Michielsen, Lieke, et al. Hierarchical progressive learning of cell identities in single-cell data. ''Nat Commun''. 2021 May 14; '''12''' (1):2799
Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders. Description: Tang, Sunny X, et al. Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders. ''NPJ Schizophr''. 2021 May 14; '''7''' (1):25
Vaccine-escape and fast-growing mutations in the United Kingdom, the United States, Singapore, Spain, India, and other COVID-19-devastated countries. Description: Wang, Rui, et al. Vaccine-escape and fast-growing mutations in the United Kingdom, the United States, Singapore, Spain, India, and other COVID-19-devastated countries. ''Genomics''. 2021 May 15; '''113''' (4):2158-2170
Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. Description: Taneja, Sanya B, et al. Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. ''BMC Med Inform Decis Mak''. 2021 May 17; '''21''' (1):158
Descriptors of Cytochrome Inhibitors and Useful Machine Learning Based Methods for the Design of Safer Drugs. Description: Beck, Tyler C, et al. Descriptors of Cytochrome Inhibitors and Useful Machine Learning Based Methods for the Design of Safer Drugs. ''Pharmaceuticals (Basel)''. 2021 May 17; '''14''' (5):
Electrical Capacitance Characteristics of Wood Chips at Low Frequency Ranges: A Cheap Tool for Quality Assessment. Description: Lev, Jakub, et al. Electrical Capacitance Characteristics of Wood Chips at Low Frequency Ranges: A Cheap Tool for Quality Assessment. ''Sensors (Basel)''. 2021 May 17; '''21''' (10):
Learning adaptive representations for entity recognition in the biomedical domain. Description: Lauriola, Ivano, et al. Learning adaptive representations for entity recognition in the biomedical domain. ''J Biomed Semantics''. 2021 May 17; '''12''' (1):10
Risk Prediction of Barrett's Esophagus in a Taiwanese Health Examination Center Based on Regression Models. Description: Lin, Po-Hsiang, et al. Risk Prediction of Barrett's Esophagus in a Taiwanese Health Examination Center Based on Regression Models. ''Int J Environ Res Public Health''. 2021 May 17; '''18''' (10):
A deep learning model for detection of cervical spinal cord compression in MRI scans. Description: Merali, Zamir, et al. A deep learning model for detection of cervical spinal cord compression in MRI scans. ''Sci Rep''. 2021 May 18; '''11''' (1):10473
Machine Learning Models to Predict 30-Day Mortality in Mechanically Ventilated Patients. Description: Kim, Jong Ho, et al. Machine Learning Models to Predict 30-Day Mortality in Mechanically Ventilated Patients. ''J Clin Med''. 2021 May 18; '''10''' (10):
Prediction model for prolonged fever in patients with Mycoplasma pneumoniae pneumonia: a retrospective study of 716 pediatric patients. Description: Jang, Min Sik, et al. Prediction model for prolonged fever in patients with Mycoplasma pneumoniae pneumonia: a retrospective study of 716 pediatric patients. ''BMC Pulm Med''. 2021 May 18; '''21''' (1):168
Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps. Description: Nam, Ju Gang, et al. Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps. ''Eur Radiol''. 2021 May 19;
Exploratory Data Analysis of Cell and Mitochondrial High-Fat, High-Sugar Toxicity on Human HepG2 Cells. Description: Amorim, Ricardo, et al. Exploratory Data Analysis of Cell and Mitochondrial High-Fat, High-Sugar Toxicity on Human HepG2 Cells. ''Nutrients''. 2021 May 19; '''13''' (5):
Feasibility of predicting allele specific expression from DNA sequencing using machine learning. Description: Zhang, Zhenhua, et al. Feasibility of predicting allele specific expression from DNA sequencing using machine learning. ''Sci Rep''. 2021 May 19; '''11''' (1):10606
Hotspot identifies informative gene modules across modalities of single-cell genomics. Description: DeTomaso, David, et al. Hotspot identifies informative gene modules across modalities of single-cell genomics. ''Cell Syst''. 2021 May 19; '''12''' (5):446-456.e9
Risk of clinical sequelae after the acute phase of SARS-CoV-2 infection: retrospective cohort study. Description: Daugherty, Sarah E, et al. Risk of clinical sequelae after the acute phase of SARS-CoV-2 infection: retrospective cohort study. ''BMJ''. 2021 May 19; '''373''': n1098
Event generation and statistical sampling for physics with deep generative models and a density information buffer. Description: Otten, Sydney, et al. Event generation and statistical sampling for physics with deep generative models and a density information buffer. ''Nat Commun''. 2021 May 20; '''12''' (1):2985
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction. Description: Rasmy, Laila, et al. Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction. ''NPJ Digit Med''. 2021 May 20; '''4''' (1):86
Spatial density of open chromatin: an effective metric for the functional characterization of topologically associated domains. Description: Jiang, Shuai, et al. Spatial density of open chromatin: an effective metric for the functional characterization of topologically associated domains. ''Brief Bioinform''. 2021 May 20; '''22''' (3):
Standardized and reproducible measurement of decision-making in mice. Description: Aguillon-Rodriguez, Valeria, et al. Standardized and reproducible measurement of decision-making in mice. ''Elife''. 2021 May 20; '''10''':
An Integrative Bioinformatic Analysis for Keratinase Detection in Marine-Derived Streptomyces. Description: Valencia, Ricardo, et al. An Integrative Bioinformatic Analysis for Keratinase Detection in Marine-Derived Streptomyces. ''Mar Drugs''. 2021 May 21; '''19''' (6):
Development and Validation of a Web-Based Severe COVID-19 Risk Prediction Model. Description: Woo, Sang H, et al. Development and Validation of a Web-Based Severe COVID-19 Risk Prediction Model. ''Am J Med Sci''. 2021 May 21;
Prediction of the risk of C5 palsy after posterior laminectomy and fusion with cervical myelopathy using a support vector machine: an analysis of 184 consecutive patients. Description: Wang, Haosheng, et al. Prediction of the risk of C5 palsy after posterior laminectomy and fusion with cervical myelopathy using a support vector machine: an analysis of 184 consecutive patients. ''J Orthop Surg Res''. 2021 May 21; '''16''' (1):332
Comprehensive machine-learning-based analysis of microRNA-target interactions reveals variable transferability of interaction rules across species. Description: Ben Or, Gilad, et al. Comprehensive machine-learning-based analysis of microRNA-target interactions reveals variable transferability of interaction rules across species. ''BMC Bioinformatics''. 2021 May 24; '''22''' (1):264
Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods. Description: Shirafkan, Farshid, et al. Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods. ''BMC Bioinformatics''. 2021 May 24; '''22''' (1):261
Understanding gender differences in professional European football through machine learning interpretability and match actions data. Description: Garnica-Caparros, Marc, et al. Understanding gender differences in professional European football through machine learning interpretability and match actions data. ''Sci Rep''. 2021 May 24; '''11''' (1):10805
Information flow, cell types and stereotypy in a full olfactory connectome. Description: Schlegel, Philipp, et al. Information flow, cell types and stereotypy in a full olfactory connectome. ''Elife''. 2021 May 25; '''10''':
Machine Learning-Based Cardiovascular Disease Prediction Model: A Cohort Study on the Korean National Health Insurance Service Health Screening Database. Description: Kim, Joung Ouk Ryan, et al. Machine Learning-Based Cardiovascular Disease Prediction Model: A Cohort Study on the Korean National Health Insurance Service Health Screening Database. ''Diagnostics (Basel)''. 2021 May 25; '''11''' (6):
Mining and Validating Social Media Data for COVID-19-Related Human Behaviors Between January and July 2020: Infodemiology Study. Description: Daughton, Ashlynn R, et al. Mining and Validating Social Media Data for COVID-19-Related Human Behaviors Between January and July 2020: Infodemiology Study. ''J Med Internet Res''. 2021 May 25; '''23''' (5):e27059
Regional brain morphology predicts pain relief in trigeminal neuralgia. Description: Hung, Peter Shih-Ping, et al. Regional brain morphology predicts pain relief in trigeminal neuralgia. ''Neuroimage Clin''. 2021 May 25; '''31''': 102706
Shall I Work with Them? A Knowledge Graph-Based Approach for Predicting Future Research Collaborations. Description: Kanakaris, Nikos, et al. Shall I Work with Them? A Knowledge Graph-Based Approach for Predicting Future Research Collaborations. ''Entropy (Basel)''. 2021 May 25; '''23''' (6):
Cell morphology-based machine learning models for human cell state classification. Description: Li, Yi, et al. Cell morphology-based machine learning models for human cell state classification. ''NPJ Syst Biol Appl''. 2021 May 26; '''7''' (1):23
How can artificial intelligence models assist PD-L1 expression scoring in breast cancer: results of multi-institutional ring studies. Description: Wang, Xinran, et al. How can artificial intelligence models assist PD-L1 expression scoring in breast cancer: results of multi-institutional ring studies. ''NPJ Breast Cancer''. 2021 May 26; '''7''' (1):61
Identification of risk groups for mental disorders, headache and oral behaviors in adults during the COVID-19 pandemic. Description: Wieckiewicz, Mieszko, et al. Identification of risk groups for mental disorders, headache and oral behaviors in adults during the COVID-19 pandemic. ''Sci Rep''. 2021 May 26; '''11''' (1):10964
Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining. Description: Bresso, Emmanuel, et al. Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining. ''BMC Med Inform Decis Mak''. 2021 May 26; '''21''' (1):171
Machine Learning Methods and Synthetic Data Generation to Predict Large Wildfires. Description: Perez-Porras, Fernando-Juan, et al. Machine Learning Methods and Synthetic Data Generation to Predict Large Wildfires. ''Sensors (Basel)''. 2021 May 26; '''21''' (11):
Neural Machine Translation-Based Automated Current Procedural Terminology Classification System Using Procedure Text: Development and Validation Study. Description: Joo, Hyeon, et al. Neural Machine Translation-Based Automated Current Procedural Terminology Classification System Using Procedure Text: Development and Validation Study. ''JMIR Form Res''. 2021 May 26; '''5''' (5):e22461
Using Anti-Malondialdehyde Modified Peptide Autoantibodies to Import Machine Learning for Predicting Coronary Artery Stenosis in Taiwanese Patients with Coronary Artery Disease. Description: Hsu, Yu-Cheng, et al. Using Anti-Malondialdehyde Modified Peptide Autoantibodies to Import Machine Learning for Predicting Coronary Artery Stenosis in Taiwanese Patients with Coronary Artery Disease. ''Diagnostics (Basel)''. 2021 May 26; '''11''' (6):
Whole brain functional recordings at cellular resolution in zebrafish larvae with 3D scanning multiphoton microscopy. Description: Bruzzone, Matteo, et al. Whole brain functional recordings at cellular resolution in zebrafish larvae with 3D scanning multiphoton microscopy. ''Sci Rep''. 2021 May 26; '''11''' (1):11048
Deep Learning Insights into Lanthanides Complexation Chemistry. Description: Mitrofanov, Artem A, et al. Deep Learning Insights into Lanthanides Complexation Chemistry. ''Molecules''. 2021 May 27; '''26''' (11):
Learning from past respiratory failure patients to triage COVID-19 patient ventilator needs: A multi-institutional study. Description: Carmichael, Harris, et al. Learning from past respiratory failure patients to triage COVID-19 patient ventilator needs: A multi-institutional study. ''J Biomed Inform''. 2021 May 27; '''119''': 103802
Predictive modeling for peri-implantitis by using machine learning techniques. Description: Mameno, Tomoaki, et al. Predictive modeling for peri-implantitis by using machine learning techniques. ''Sci Rep''. 2021 May 27; '''11''' (1):11090
Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease. Description: Allam, Mayar, et al. Spatially visualized single-cell pathology of highly multiplexed protein profiles in health and disease. ''Commun Biol''. 2021 May 27; '''4''' (1):632
Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants. Description: Dimitrievska, Vesna, et al. Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants. ''Sensors (Basel)''. 2021 May 27; '''21''' (11):
A deep learning system for detecting diabetic retinopathy across the disease spectrum. Description: Dai, Ling, et al. A deep learning system for detecting diabetic retinopathy across the disease spectrum. ''Nat Commun''. 2021 May 28; '''12''' (1):3242
LEDGF/p75 Is Required for an Efficient DNA Damage Response. Description: Liedtke, Victoria, et al. LEDGF/p75 Is Required for an Efficient DNA Damage Response. ''Int J Mol Sci''. 2021 May 30; '''22''' (11):
Exploratory Outlier Detection for Acceleromyographic Neuromuscular Monitoring: Machine Learning Approach. Description: Verdonck, Michael, et al. Exploratory Outlier Detection for Acceleromyographic Neuromuscular Monitoring: Machine Learning Approach. ''J Med Internet Res''. 2021 May 31; '''23''' (6):e25913
Model-based analysis uncovers mutations altering autophagy selectivity in human cancer. Description: Han, Zhu, et al. Model-based analysis uncovers mutations altering autophagy selectivity in human cancer. ''Nat Commun''. 2021 May 31; '''12''' (1):3258
Statistical and Machine Learning Link Selection Methods for Brain Functional Networks: Review and Comparison. Description: Ivanoska, Ilinka, et al. Statistical and Machine Learning Link Selection Methods for Brain Functional Networks: Review and Comparison. ''Brain Sci''. 2021 May 31; '''11''' (6):
Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification. Description: Urbanos, Gemma, et al. Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification. ''Sensors (Basel)''. 2021 May 31; '''21''' (11):
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images. Description: Wang, Guangyu, et al. A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images. ''Nat Biomed Eng''. 2021 Jun; '''5''' (6):509-521
A large-scale comparative study on peptide encodings for biomedical classification. Description: Spanig, Sebastian, et al. A large-scale comparative study on peptide encodings for biomedical classification. ''NAR Genom Bioinform''. 2021 Jun; '''3''' (2):lqab039
An artificial intelligence deep learning model for identification of small bowel obstruction on plain abdominal radiographs. Description: Kim, D H, et al. An artificial intelligence deep learning model for identification of small bowel obstruction on plain abdominal radiographs. ''Br J Radiol''. 2021 Jun 1; '''94''' (1122):20201407
Assessing single-cell transcriptomic variability through density-preserving data visualization. Description: Narayan, Ashwin, et al. Assessing single-cell transcriptomic variability through density-preserving data visualization. ''Nat Biotechnol''. 2021 Jun; '''39''' (6):765-774
Categorising patient concerns using natural language processing techniques. Description: Fairie, Paul, et al. Categorising patient concerns using natural language processing techniques. ''BMJ Health Care Inform''. 2021 Jun; '''28''' (1):
Computationally guided high-throughput design of self-assembling drug nanoparticles. Description: Reker, Daniel, et al. Computationally guided high-throughput design of self-assembling drug nanoparticles. ''Nat Nanotechnol''. 2021 Jun; '''16''' (6):725-733
Consistency of functional connectivity across different movies. Description: Tian, Lixia, et al. Consistency of functional connectivity across different movies. ''Neuroimage''. 2021 Jun; '''233''': 117926
Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset. Description: Aczon, Melissa D, et al. Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset. ''Pediatr Crit Care Med''. 2021 Jun 1; '''22''' (6):519-529
CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patients. Description: Kedia, Priyansh, et al. CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patients. ''Appl Soft Comput''. 2021 Jun; '''104''': 107184
CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions. Description: Zhang, Bin, et al. CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions. ''Br J Radiol''. 2021 Jun 1; '''94''' (1122):20201007
Deep Learning for Classification of Bone Lesions on Routine MRI. Description: Eweje, Feyisope R, et al. Deep Learning for Classification of Bone Lesions on Routine MRI. ''EBioMedicine''. 2021 Jun; '''68''': 103402
Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learning. Description: Nissinen, Tomi, et al. Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learning. ''Bone Rep''. 2021 Jun; '''14''': 101070
Development and external validation of a non-invasive molecular status predictor of chromosome 1p/19q co-deletion based on MRI radiomics analysis of Low Grade Glioma patients. Description: Casale, Roberto, et al. Development and external validation of a non-invasive molecular status predictor of chromosome 1p/19q co-deletion based on MRI radiomics analysis of Low Grade Glioma patients. ''Eur J Radiol''. 2021 Jun; '''139''': 109678
Development and Validation of a Novel Computed-Tomography Enterography Radiomic Approach for Characterization of Intestinal Fibrosis in Crohn's Disease. Description: Li, Xuehua, et al. Development and Validation of a Novel Computed-Tomography Enterography Radiomic Approach for Characterization of Intestinal Fibrosis in Crohn's Disease. ''Gastroenterology''. 2021 Jun; '''160''' (7):2303-2316.e11
Disrupted morphological grey matter networks in early-stage Parkinson's disease. Description: Suo, Xueling, et al. Disrupted morphological grey matter networks in early-stage Parkinson's disease. ''Brain Struct Funct''. 2021 Jun; '''226''' (5):1389-1403
Dopaminergic organization of striatum is linked to cortical activity and brain expression of genes associated with psychiatric illness. Description: McCutcheon, Robert A, et al. Dopaminergic organization of striatum is linked to cortical activity and brain expression of genes associated with psychiatric illness. ''Sci Adv''. 2021 Jun; '''7''' (24):
Driftage: a multi-agent system framework for concept drift detection. Description: Vieira, Diogo Munaro, et al. Driftage: a multi-agent system framework for concept drift detection. ''Gigascience''. 2021 Jun 1; '''10''' (6):
Early prediction of coronavirus disease epidemic severity in the contiguous United States based on deep learning. Description: Kao, I-Hsi, et al. Early prediction of coronavirus disease epidemic severity in the contiguous United States based on deep learning. ''Results Phys''. 2021 Jun; '''25''': 104287
Emotional learning retroactively enhances item memory but distorts source attribution. Description: Hennings, Augustin C, et al. Emotional learning retroactively enhances item memory but distorts source attribution. ''Learn Mem''. 2021 Jun; '''28''' (6):178-186
Epigenetic clocks reveal a rejuvenation event during embryogenesis followed by aging. Description: Kerepesi, Csaba, et al. Epigenetic clocks reveal a rejuvenation event during embryogenesis followed by aging. ''Sci Adv''. 2021 Jun; '''7''' (26):
Examining variable selection methods for the predictive performance of regression models and the proportion of selected variables and selected random variables. Description: Kaneko, Hiromasa. Examining variable selection methods for the predictive performance of regression models and the proportion of selected variables and selected random variables. ''Heliyon''. 2021 Jun; '''7''' (6):e07356
Impact of Different Approaches to Preparing Notes for Analysis With Natural Language Processing on the Performance of Prediction Models in Intensive Care. Description: Mahendra, Malini, et al. Impact of Different Approaches to Preparing Notes for Analysis With Natural Language Processing on the Performance of Prediction Models in Intensive Care. ''Crit Care Explor''. 2021 Jun; '''3''' (6):e0450
Is there any incremental benefit to conducting neuroimaging and neurocognitive assessments in the diagnosis of ADHD in young children? A machine learning investigation. Description: Oztekin, Ilke, et al. Is there any incremental benefit to conducting neuroimaging and neurocognitive assessments in the diagnosis of ADHD in young children? A machine learning investigation. ''Dev Cogn Neurosci''. 2021 Jun; '''49''': 100966
Known sequence features can explain half of all human gene ends. Description: Shkurin, Aleksei, et al. Known sequence features can explain half of all human gene ends. ''NAR Genom Bioinform''. 2021 Jun; '''3''' (2):lqab042
Machine Learning-Based Discovery of a Gene Expression Signature in Pediatric Acute Respiratory Distress Syndrome. Description: Grunwell, Jocelyn R, et al. Machine Learning-Based Discovery of a Gene Expression Signature in Pediatric Acute Respiratory Distress Syndrome. ''Crit Care Explor''. 2021 Jun; '''3''' (6):e0431
Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis. Description: Esener, Necati, et al. Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis. ''PLoS Comput Biol''. 2021 Jun; '''17''' (6):e1009108
Microplastics in lakeshore and lakebed sediments - External influences and temporal and spatial variabilities of concentrations. Description: Hengstmann, Elena, et al. Microplastics in lakeshore and lakebed sediments - External influences and temporal and spatial variabilities of concentrations. ''Environ Res''. 2021 Jun; '''197''': 111141
Multidimensional analysis and detection of informative features in human brain white matter. Description: Richie-Halford, Adam, et al. Multidimensional analysis and detection of informative features in human brain white matter. ''PLoS Comput Biol''. 2021 Jun; '''17''' (6):e1009136
Passive Immunization of Chickens with Anti-Enterobactin Egg Yolk Powder for Campylobacter Control. Description: Wang, Huiwen, et al. Passive Immunization of Chickens with Anti-Enterobactin Egg Yolk Powder for Campylobacter Control. ''Vaccines (Basel)''. 2021 Jun 1; '''9''' (6):
Pix2pix Conditional Generative Adversarial Networks for Scheimpflug Camera Color-Coded Corneal Tomography Image Generation. Description: Abdelmotaal, Hazem, et al. Pix2pix Conditional Generative Adversarial Networks for Scheimpflug Camera Color-Coded Corneal Tomography Image Generation. ''Transl Vis Sci Technol''. 2021 Jun 1; '''10''' (7):21
Prediction efficacy of feature classification of solitary pulmonary nodules based on CT radiomics. Description: Xu, Qing-Qing, et al. Prediction efficacy of feature classification of solitary pulmonary nodules based on CT radiomics. ''Eur J Radiol''. 2021 Jun; '''139''': 109667
Rapid microstructural plasticity in the cortical semantic network following a short language learning session. Description: Vukovic, Nikola, et al. Rapid microstructural plasticity in the cortical semantic network following a short language learning session. ''PLoS Biol''. 2021 Jun; '''19''' (6):e3001290
Relationship-specific Encoding of Social Touch in Somatosensory and Insular Cortices. Description: Suvilehto, Juulia T, et al. Relationship-specific Encoding of Social Touch in Somatosensory and Insular Cortices. ''Neuroscience''. 2021 Jun 1; '''464''': 105-116
Somatosensory network functional connectivity differentiates clinical pain phenotypes in diabetic neuropathy. Description: Teh, Kevin, et al. Somatosensory network functional connectivity differentiates clinical pain phenotypes in diabetic neuropathy. ''Diabetologia''. 2021 Jun; '''64''' (6):1412-1421
Swarm Learning for decentralized and confidential clinical machine learning. Description: Warnat-Herresthal, Stefanie, et al. Swarm Learning for decentralized and confidential clinical machine learning. ''Nature''. 2021 Jun; '''594''' (7862):265-270
Systematic profiling of protein complex dynamics reveals DNA-PK phosphorylation of IFI16 en route to herpesvirus immunity. Description: Justice, Joshua L, et al. Systematic profiling of protein complex dynamics reveals DNA-PK phosphorylation of IFI16 en route to herpesvirus immunity. ''Sci Adv''. 2021 Jun; '''7''' (25):
Toward the use of neural networks for influenza prediction at multiple spatial resolutions. Description: Aiken, Emily L, et al. Toward the use of neural networks for influenza prediction at multiple spatial resolutions. ''Sci Adv''. 2021 Jun; '''7''' (25):
A unified atlas of CD8 T cell dysfunctional states in cancer and infection. Description: Pritykin, Yuri, et al. A unified atlas of CD8 T cell dysfunctional states in cancer and infection. ''Mol Cell''. 2021 Jun 3; '''81''' (11):2477-2493.e10
Crowdsourced mapping of unexplored target space of kinase inhibitors. Description: Cichonska, Anna, et al. Crowdsourced mapping of unexplored target space of kinase inhibitors. ''Nat Commun''. 2021 Jun 3; '''12''' (1):3307
Development and validation of a nomogram for predicting stroke risk in rheumatoid arthritis patients. Description: Xin, Fangran, et al. Development and validation of a nomogram for predicting stroke risk in rheumatoid arthritis patients. ''Aging (Albany NY)''. 2021 Jun 3; '''13''' (11):15061-15077
Discovery of molecular features underlying the morphological landscape by integrating spatial transcriptomic data with deep features of tissue images. Description: Bae, Sungwoo, et al. Discovery of molecular features underlying the morphological landscape by integrating spatial transcriptomic data with deep features of tissue images. ''Nucleic Acids Res''. 2021 Jun 4; '''49''' (10):e55
Honey Bee Colony Population Daily Loss Rate Forecasting and an Early Warning Method Using Temporal Convolutional Networks. Description: Ngo, Thi-Nha, et al. Honey Bee Colony Population Daily Loss Rate Forecasting and an Early Warning Method Using Temporal Convolutional Networks. ''Sensors (Basel)''. 2021 Jun 4; '''21''' (11):
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization. Description: Chen, Zhen, et al. iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization. ''Nucleic Acids Res''. 2021 Jun 4; '''49''' (10):e60
Machine Learning for Predicting Mortality in Transcatheter Aortic Valve Implantation: An Inter-Center Cross Validation Study. Description: Mamprin, Marco, et al. Machine Learning for Predicting Mortality in Transcatheter Aortic Valve Implantation: An Inter-Center Cross Validation Study. ''J Cardiovasc Dev Dis''. 2021 Jun 4; '''8''' (6):
ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection. Description: Yaqoob, Muhammad Kashif, et al. ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection. ''Sensors (Basel)''. 2021 Jun 4; '''21''' (11):
Alteration of brain structural connectivity in progression of Parkinson's disease: A connectome-wide network analysis. Description: Yang, Yanwu, et al. Alteration of brain structural connectivity in progression of Parkinson's disease: A connectome-wide network analysis. ''Neuroimage Clin''. 2021 Jun 6; '''31''': 102715
SARS-CoV-2 RNAemia and proteomic trajectories inform prognostication in COVID-19 patients admitted to intensive care. Description: Gutmann, Clemens, et al. SARS-CoV-2 RNAemia and proteomic trajectories inform prognostication in COVID-19 patients admitted to intensive care. ''Nat Commun''. 2021 Jun 7; '''12''' (1):3406
A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases. Description: Tisza, Michael J, et al. A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases. ''Proc Natl Acad Sci U S A''. 2021 Jun 8; '''118''' (23):
Altered DNA methylation pattern reveals epigenetic regulation of Hox genes in thoracic aortic dissection and serves as a biomarker in disease diagnosis. Description: Liu, Peiru, et al. Altered DNA methylation pattern reveals epigenetic regulation of Hox genes in thoracic aortic dissection and serves as a biomarker in disease diagnosis. ''Clin Epigenetics''. 2021 Jun 8; '''13''' (1):124
Contiguous erosion of the inactive X in human pluripotency concludes with global DNA hypomethylation. Description: Bansal, Prakhar, et al. Contiguous erosion of the inactive X in human pluripotency concludes with global DNA hypomethylation. ''Cell Rep''. 2021 Jun 8; '''35''' (10):109215
Deep learning connects DNA traces to transcription to reveal predictive features beyond enhancer-promoter contact. Description: Rajpurkar, Aparna R, et al. Deep learning connects DNA traces to transcription to reveal predictive features beyond enhancer-promoter contact. ''Nat Commun''. 2021 Jun 8; '''12''' (1):3423
Generative Models for Extrapolation Prediction in Materials Informatics. Description: Hatakeyama-Sato, Kan, et al. Generative Models for Extrapolation Prediction in Materials Informatics. ''ACS Omega''. 2021 Jun 8; '''6''' (22):14566-14574
Medical Insights from Posts About Irritable Bowel Syndrome by Adolescent Patients and Their Parents: Topic Modeling and Social Network Analysis. Description: Zhong, Bu, et al. Medical Insights from Posts About Irritable Bowel Syndrome by Adolescent Patients and Their Parents: Topic Modeling and Social Network Analysis. ''J Med Internet Res''. 2021 Jun 9; '''23''' (6):e26867
Soft-Sensor for Class Prediction of the Percentage of Pentanes in Butane at a Debutanizer Column. Description: Nino-Adan, Iratxe, et al. Soft-Sensor for Class Prediction of the Percentage of Pentanes in Butane at a Debutanizer Column. ''Sensors (Basel)''. 2021 Jun 9; '''21''' (12):
Towards a New, Endophenotype-Based Strategy for Pathogenicity Prediction in BRCA1 and BRCA2: In Silico Modeling of the Outcome of HDR/SGE Assays for Missense Variants. Description: Ozkan, Selen, et al. Towards a New, Endophenotype-Based Strategy for Pathogenicity Prediction in BRCA1 and BRCA2: In Silico Modeling of the Outcome of HDR/SGE Assays for Missense Variants. ''Int J Mol Sci''. 2021 Jun 9; '''22''' (12):
A new molecular classification to drive precision treatment strategies in primary Sjogren's syndrome. Description: Soret, Perrine, et al. A new molecular classification to drive precision treatment strategies in primary Sjogren's syndrome. ''Nat Commun''. 2021 Jun 10; '''12''' (1):3523
DNA Methylation Signatures Predict Cytogenetic Subtype and Outcome in Pediatric Acute Myeloid Leukemia (AML). Description: Krali, Olga, et al. DNA Methylation Signatures Predict Cytogenetic Subtype and Outcome in Pediatric Acute Myeloid Leukemia (AML). ''Genes (Basel)''. 2021 Jun 10; '''12''' (6):
Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes. Description: Luo, Qichao, et al. Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes. ''BMC Bioinformatics''. 2021 Jun 11; '''22''' (1):318
Improving sequence-based modeling of protein families using secondary structure quality assessment. Description: Malbranke, Cyril, et al. Improving sequence-based modeling of protein families using secondary structure quality assessment. ''Bioinformatics''. 2021 Jun 12;
Proteomic Portraits Reveal Evolutionarily Conserved and Divergent Responses to Spinal Cord Injury. Description: Skinnider, Michael A, et al. Proteomic Portraits Reveal Evolutionarily Conserved and Divergent Responses to Spinal Cord Injury. ''Mol Cell Proteomics''. 2021 Jun 12; '''20''': 100096
Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan. Description: Arora, Vinay, et al. Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan. ''Comput Biol Med''. 2021 Jun 12; '''135''': 104575
A time-resolved proteomic and prognostic map of COVID-19. Description: Demichev, Vadim, et al. A time-resolved proteomic and prognostic map of COVID-19. ''Cell Syst''. 2021 Jun 14;
Conserved pan-cancer microenvironment subtypes predict response to immunotherapy. Description: Bagaev, Alexander, et al. Conserved pan-cancer microenvironment subtypes predict response to immunotherapy. ''Cancer Cell''. 2021 Jun 14; '''39''' (6):845-865.e7
Cytotoxicity Induction by the Oxidative Reactivity of Nanoparticles Revealed by a Combinatorial GNP Library with Diverse Redox Properties. Description: Wang, Shenqing, et al. Cytotoxicity Induction by the Oxidative Reactivity of Nanoparticles Revealed by a Combinatorial GNP Library with Diverse Redox Properties. ''Molecules''. 2021 Jun 14; '''26''' (12):
Immune-checkpoint blockade of CTLA-4 (CD152) in antigen-specific human T-cell responses differs profoundly between neonates, children, and adults. Description: Arra, Aditya, et al. Immune-checkpoint blockade of CTLA-4 (CD152) in antigen-specific human T-cell responses differs profoundly between neonates, children, and adults. ''Oncoimmunology''. 2021 Jun 14; '''10''' (1):1938475
Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study. Description: Deng, Lizong, et al. Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study. ''J Med Internet Res''. 2021 Jun 15; '''23''' (6):e26892
Differential modulation of polyunsaturated fatty acids in patients with myocardial infarction treated with ticagrelor or clopidogrel. Description: Samman, Karla N, et al. Differential modulation of polyunsaturated fatty acids in patients with myocardial infarction treated with ticagrelor or clopidogrel. ''Cell Rep Med''. 2021 Jun 15; '''2''' (6):100299
Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning Machine. Description: Arias-Rodriguez, Leonardo F, et al. Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning Machine. ''Sensors (Basel)''. 2021 Jun 15; '''21''' (12):
Learning mutational signatures and their multidimensional genomic properties with TensorSignatures. Description: Vohringer, Harald, et al. Learning mutational signatures and their multidimensional genomic properties with TensorSignatures. ''Nat Commun''. 2021 Jun 15; '''12''' (1):3628
Cell states beyond transcriptomics: Integrating structural organization and gene expression in hiPSC-derived cardiomyocytes. Description: Gerbin, Kaytlyn A, et al. Cell states beyond transcriptomics: Integrating structural organization and gene expression in hiPSC-derived cardiomyocytes. ''Cell Syst''. 2021 Jun 16; '''12''' (6):670-687.e10
Automatic chronic degenerative diseases identification using enteric nervous system images. Description: Felipe, Gustavo Z, et al. Automatic chronic degenerative diseases identification using enteric nervous system images. ''Neural Comput Appl''. 2021 Jun 17; 1-23
Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface. Description: Trautmann, Eric M, et al. Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface. ''Nat Commun''. 2021 Jun 17; '''12''' (1):3689
Machine learning differentiates enzymatic and non-enzymatic metals in proteins. Description: Feehan, Ryan, et al. Machine learning differentiates enzymatic and non-enzymatic metals in proteins. ''Nat Commun''. 2021 Jun 17; '''12''' (1):3712
Model-based prediction of spatial gene expression via generative linear mapping. Description: Okochi, Yasushi, et al. Model-based prediction of spatial gene expression via generative linear mapping. ''Nat Commun''. 2021 Jun 17; '''12''' (1):3731
Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video Streaming. Description: Loh, Frank, et al. Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video Streaming. ''Sensors (Basel)''. 2021 Jun 17; '''21''' (12):
A Machine Learning Approach as an Aid for Early COVID-19 Detection. Description: Martinez-Velazquez, Roberto, et al. A Machine Learning Approach as an Aid for Early COVID-19 Detection. ''Sensors (Basel)''. 2021 Jun 18; '''21''' (12):
Artificial Breath Classification Using XGBoost Algorithm for Diabetes Detection. Description: Paleczek, Anna, et al. Artificial Breath Classification Using XGBoost Algorithm for Diabetes Detection. ''Sensors (Basel)''. 2021 Jun 18; '''21''' (12):
A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards. Description: Knaak, Christian, et al. A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards. ''Sensors (Basel)''. 2021 Jun 18; '''21''' (12):
Informative Regions In Viral Genomes. Description: Moreno-Gallego, Jaime Leonardo, et al. Informative Regions In Viral Genomes. ''Viruses''. 2021 Jun 18; '''13''' (6):
Multicenter analysis and a rapid screening model to predict early novel coronavirus pneumonia using a random forest algorithm. Description: Bao, Suxia, et al. Multicenter analysis and a rapid screening model to predict early novel coronavirus pneumonia using a random forest algorithm. ''Medicine (Baltimore)''. 2021 Jun 18; '''100''' (24):e26279
Preventing corneal blindness caused by keratitis using artificial intelligence. Description: Li, Zhongwen, et al. Preventing corneal blindness caused by keratitis using artificial intelligence. ''Nat Commun''. 2021 Jun 18; '''12''' (1):3738
Evaluation of whole-genome DNA methylation sequencing library preparation protocols. Description: Morrison, Jacob, et al. Evaluation of whole-genome DNA methylation sequencing library preparation protocols. ''Epigenetics Chromatin''. 2021 Jun 19; '''14''' (1):28
Machine learning-based genetic diagnosis models for hereditary hearing loss by the GJB2, SLC26A4 and MT-RNR1 variants. Description: Luo, Xiaomei, et al. Machine learning-based genetic diagnosis models for hereditary hearing loss by the GJB2, SLC26A4 and MT-RNR1 variants. ''EBioMedicine''. 2021 Jun 19; '''69''': 103322
Bariatric Surgery Affects Plasma Levels of Alanine Aminotransferase Independent of Weight Loss: A Registry-Based Study. Description: Azulai, Shira, et al. Bariatric Surgery Affects Plasma Levels of Alanine Aminotransferase Independent of Weight Loss: A Registry-Based Study. ''J Clin Med''. 2021 Jun 20; '''10''' (12):
Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study. Description: Woodman, Richard John, et al. Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study. ''J Med Internet Res''. 2021 Jun 21; '''23''' (6):e26139
Handwork vs machine: a comparison of rheumatoid arthritis patient populations as identified from EHR free-text by diagnosis extraction through machine-learning or traditional criteria-based chart review. Description: Maarseveen, T D, et al. Handwork vs machine: a comparison of rheumatoid arthritis patient populations as identified from EHR free-text by diagnosis extraction through machine-learning or traditional criteria-based chart review. ''Arthritis Res Ther''. 2021 Jun 22; '''23''' (1):174
SurvCNN: A Discrete Time-to-Event Cancer Survival Estimation Framework Using Image Representations of Omics Data. Description: Kalakoti, Yogesh, et al. SurvCNN: A Discrete Time-to-Event Cancer Survival Estimation Framework Using Image Representations of Omics Data. ''Cancers (Basel)''. 2021 Jun 22; '''13''' (13):
A convolutional neural network-based regression model to infer the epigenetic crosstalk responsible for CG methylation patterns. Description: Au Yeung, Wan Kin, et al. A convolutional neural network-based regression model to infer the epigenetic crosstalk responsible for CG methylation patterns. ''BMC Bioinformatics''. 2021 Jun 23; '''22''' (1):341
Developmental intestinal microbiome alterations in canine fading puppy syndrome: a prospective observational study. Description: Tal, Smadar, et al. Developmental intestinal microbiome alterations in canine fading puppy syndrome: a prospective observational study. ''NPJ Biofilms Microbiomes''. 2021 Jun 23; '''7''' (1):52
Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19. Description: Janko, Vito, et al. Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19. ''Int J Environ Res Public Health''. 2021 Jun 23; '''18''' (13):
The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring. Description: Altini, Marco, et al. The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring. ''Sensors (Basel)''. 2021 Jun 23; '''21''' (13):
Topological analysis of differential effects of ketamine and propofol anaesthesia on brain dynamics. Description: Varley, Thomas F, et al. Topological analysis of differential effects of ketamine and propofol anaesthesia on brain dynamics. ''R Soc Open Sci''. 2021 Jun 23; '''8''' (6):201971
Discovery of Depression-Associated Factors From a Nationwide Population-Based Survey: Epidemiological Study Using Machine Learning and Network Analysis. Description: Nam, Sang Min, et al. Discovery of Depression-Associated Factors From a Nationwide Population-Based Survey: Epidemiological Study Using Machine Learning and Network Analysis. ''J Med Internet Res''. 2021 Jun 24; '''23''' (6):e27344
Post-Analysis of Predictive Modeling with an Epidemiological Example. Description: Brester, Christina, et al. Post-Analysis of Predictive Modeling with an Epidemiological Example. ''Healthcare (Basel)''. 2021 Jun 24; '''9''' (7):
Predicting lethal courses in critically ill COVID-19 patients using a machine learning model trained on patients with non-COVID-19 viral pneumonia. Description: Lichtner, Gregor, et al. Predicting lethal courses in critically ill COVID-19 patients using a machine learning model trained on patients with non-COVID-19 viral pneumonia. ''Sci Rep''. 2021 Jun 24; '''11''' (1):13205
Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study. Description: Argyris, Young Anna, et al. Using Machine Learning to Compare Provaccine and Antivaccine Discourse Among the Public on Social Media: Algorithm Development Study. ''JMIR Public Health Surveill''. 2021 Jun 24; '''7''' (6):e23105
Limited intestinal inflammation despite diarrhea, fecal viral RNA and SARS-CoV-2-specific IgA in patients with acute COVID-19. Description: Britton, Graham J, et al. Limited intestinal inflammation despite diarrhea, fecal viral RNA and SARS-CoV-2-specific IgA in patients with acute COVID-19. ''Sci Rep''. 2021 Jun 25; '''11''' (1):13308
Machine Learning Approach Reveals the Assembly of Activated Sludge Microbiome with Different Carbon Sources during Microcosm Startup. Description: Kim, Youngjun, et al. Machine Learning Approach Reveals the Assembly of Activated Sludge Microbiome with Different Carbon Sources during Microcosm Startup. ''Microorganisms''. 2021 Jun 25; '''9''' (7):
Microscopy deep learning predicts virus infections and reveals mechanics of lytic-infected cells. Description: Andriasyan, Vardan, et al. Microscopy deep learning predicts virus infections and reveals mechanics of lytic-infected cells. ''iScience''. 2021 Jun 25; '''24''' (6):102543
Over a decade of social opinion mining: a systematic review. Description: Cortis, Keith, et al. Over a decade of social opinion mining: a systematic review. ''Artif Intell Rev''. 2021 Jun 25; 1-93
Application of intelligent algorithms in Down syndrome screening during second trimester pregnancy. Description: Zhang, Hong-Guo, et al. Application of intelligent algorithms in Down syndrome screening during second trimester pregnancy. ''World J Clin Cases''. 2021 Jun 26; '''9''' (18):4573-4584
PhaLP: A Database for the Study of Phage Lytic Proteins and Their Evolution. Description: Criel, Bjorn, et al. PhaLP: A Database for the Study of Phage Lytic Proteins and Their Evolution. ''Viruses''. 2021 Jun 26; '''13''' (7):
A Deep Learning-Based Electromagnetic Signal for Earthquake Magnitude Prediction. Description: Bao, Zhenyu, et al. A Deep Learning-Based Electromagnetic Signal for Earthquake Magnitude Prediction. ''Sensors (Basel)''. 2021 Jun 28; '''21''' (13):
A Machine Learning Bioinformatics Method to Predict Biological Activity from Biosynthetic Gene Clusters. Description: Walker, Allison S, et al. A Machine Learning Bioinformatics Method to Predict Biological Activity from Biosynthetic Gene Clusters. ''J Chem Inf Model''. 2021 Jun 28; '''61''' (6):2560-2571
Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer. Description: Yang, Bin, et al. Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer. ''Respir Res''. 2021 Jun 28; '''22''' (1):189
On the predictability of postoperative complications for cancer patients: a Portuguese cohort study. Description: Goncalves, Daniel, et al. On the predictability of postoperative complications for cancer patients: a Portuguese cohort study. ''BMC Med Inform Decis Mak''. 2021 Jun 28; '''21''' (1):200
Long-term cancer survival prediction using multimodal deep learning. Description: Vale-Silva, Luis A, et al. Long-term cancer survival prediction using multimodal deep learning. ''Sci Rep''. 2021 Jun 29; '''11''' (1):13505
Multiscale Permutation Lempel-Ziv Complexity Measure for Biomedical Signal Analysis: Interpretation and Application to Focal EEG Signals. Description: Borowska, Marta. Multiscale Permutation Lempel-Ziv Complexity Measure for Biomedical Signal Analysis: Interpretation and Application to Focal EEG Signals. ''Entropy (Basel)''. 2021 Jun 29; '''23''' (7):
Predicting Antimicrobial Resistance Using Partial Genome Alignments. Description: Aytan-Aktug, D, et al. Predicting Antimicrobial Resistance Using Partial Genome Alignments. ''mSystems''. 2021 Jun 29; '''6''' (3):e0018521
Principles of 3D compartmentalization of the human genome. Description: Nichols, Michael H, et al. Principles of 3D compartmentalization of the human genome. ''Cell Rep''. 2021 Jun 29; '''35''' (13):109330
Specialized coding patterns among dorsomedial prefrontal neuronal ensembles predict conditioned reward seeking. Description: Grant, Roger I, et al. Specialized coding patterns among dorsomedial prefrontal neuronal ensembles predict conditioned reward seeking. ''Elife''. 2021 Jun 29; '''10''':
Whole-Genome Sequencing and Machine Learning Analysis of Staphylococcus aureus from Multiple Heterogeneous Sources in China Reveals Common Genetic Traits of Antimicrobial Resistance. Description: Wang, Wei, et al. Whole-Genome Sequencing and Machine Learning Analysis of Staphylococcus aureus from Multiple Heterogeneous Sources in China Reveals Common Genetic Traits of Antimicrobial Resistance. ''mSystems''. 2021 Jun 29; '''6''' (3):e0118520
Antibodies elicited by mRNA-1273 vaccination bind more broadly to the receptor binding domain than do those from SARS-CoV-2 infection. Description: Greaney, Allison J, et al. Antibodies elicited by mRNA-1273 vaccination bind more broadly to the receptor binding domain than do those from SARS-CoV-2 infection. ''Sci Transl Med''. 2021 Jun 30; '''13''' (600):
Deep Learning-Based Stage-Wise Risk Stratification for Early Lung Adenocarcinoma in CT Images: A Multi-Center Study. Description: Gong, Jing, et al. Deep Learning-Based Stage-Wise Risk Stratification for Early Lung Adenocarcinoma in CT Images: A Multi-Center Study. ''Cancers (Basel)''. 2021 Jun 30; '''13''' (13):
Neurite orientation dispersion and density imaging reveals white matter microstructural alterations in adults with autism. Description: Andica, Christina, et al. Neurite orientation dispersion and density imaging reveals white matter microstructural alterations in adults with autism. ''Mol Autism''. 2021 Jun 30; '''12''' (1):48
Activity flow underlying abnormalities in brain activations and cognition in schizophrenia. Description: Hearne, Luke J, et al. Activity flow underlying abnormalities in brain activations and cognition in schizophrenia. ''Sci Adv''. 2021 Jul; '''7''' (29):
Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection. Description: Farr, Ryan J, et al. Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection. ''PLoS Pathog''. 2021 Jul; '''17''' (7):e1009759
A Machine Learning Approach to First Pass Reperfusion in Mechanical Thrombectomy: Prediction and Feature Analysis. Description: Velagapudi, Lohit, et al. A Machine Learning Approach to First Pass Reperfusion in Mechanical Thrombectomy: Prediction and Feature Analysis. ''J Stroke Cerebrovasc Dis''. 2021 Jul; '''30''' (7):105796
A radiomics-based model for predicting local control of resected brain metastases receiving adjuvant SRS. Description: Mulford, Kellen, et al. A radiomics-based model for predicting local control of resected brain metastases receiving adjuvant SRS. ''Clin Transl Radiat Oncol''. 2021 Jul; '''29''': 27-32
Assessing the replicability of spatial gene expression using atlas data from the adult mouse brain. Description: Lu, Shaina, et al. Assessing the replicability of spatial gene expression using atlas data from the adult mouse brain. ''PLoS Biol''. 2021 Jul; '''19''' (7):e3001341
Cell-free DNA from bronchoalveolar lavage fluid (BALF): a new liquid biopsy medium for identifying lung cancer. Description: Zeng, Daxiong, et al. Cell-free DNA from bronchoalveolar lavage fluid (BALF): a new liquid biopsy medium for identifying lung cancer. ''Ann Transl Med''. 2021 Jul; '''9''' (13):1080
ChrNet: A re-trainable chromosome-based 1D convolutional neural network for predicting immune cell types. Description: Jia, Shuo, et al. ChrNet: A re-trainable chromosome-based 1D convolutional neural network for predicting immune cell types. ''Genomics''. 2021 Jul; '''113''' (4):2023-2031
Clinical predictors of I-131 therapy failure in differentiated thyroid cancer by machine learning: A single-center experience. Description: Lubin, David J, et al. Clinical predictors of I-131 therapy failure in differentiated thyroid cancer by machine learning: A single-center experience. ''World J Nucl Med''. 2021 Jul-Sep; '''20''' (3):253-259
COUNTEN, an AI-Driven Tool for Rapid and Objective Structural Analyses of the Enteric Nervous System. Description: Kobayashi, Yuta, et al. COUNTEN, an AI-Driven Tool for Rapid and Objective Structural Analyses of the Enteric Nervous System. ''eNeuro''. 2021 Jul-Aug; '''8''' (4):
Dimeric allostery mechanism of the plant circadian clock photoreceptor ZEITLUPE. Description: Trozzi, Francesco, et al. Dimeric allostery mechanism of the plant circadian clock photoreceptor ZEITLUPE. ''PLoS Comput Biol''. 2021 Jul; '''17''' (7):e1009168
Dipeptidyl peptidase III as a DNA marker to investigate epidemiology and taxonomy of Old World Leishmania species. Description: Bel Hadj Ali, Insaf, et al. Dipeptidyl peptidase III as a DNA marker to investigate epidemiology and taxonomy of Old World Leishmania species. ''PLoS Negl Trop Dis''. 2021 Jul; '''15''' (7):e0009530
Distinct Characteristics of Odor-evoked Calcium and Electrophysiological Signals in Mitral/Tufted Cells in the Mouse Olfactory Bulb. Description: Xu, Han, et al. Distinct Characteristics of Odor-evoked Calcium and Electrophysiological Signals in Mitral/Tufted Cells in the Mouse Olfactory Bulb. ''Neurosci Bull''. 2021 Jul; '''37''' (7):959-972
Evaluation of COVID-19 chest computed tomography: A texture analysis based on three-dimensional entropy. Description: Gaudencio, Andreia S, et al. Evaluation of COVID-19 chest computed tomography: A texture analysis based on three-dimensional entropy. ''Biomed Signal Process Control''. 2021 Jul; '''68''': 102582
Expression of the cancer-associated DNA polymerase epsilon P286R in fission yeast leads to translesion synthesis polymerase dependent hypermutation and defective DNA replication. Description: Soriano, Ignacio, et al. Expression of the cancer-associated DNA polymerase epsilon P286R in fission yeast leads to translesion synthesis polymerase dependent hypermutation and defective DNA replication. ''PLoS Genet''. 2021 Jul; '''17''' (7):e1009526
High-precision and cost-efficient sequencing for real-time COVID-19 surveillance. Description: Park, Sung Yong, et al. High-precision and cost-efficient sequencing for real-time COVID-19 surveillance. ''Sci Rep''. 2021 Jul 1; '''11''' (1):13669
Improving Covariance Matrices Derived from Tiny Training Datasets for the Classification of Event-Related Potentials with Linear Discriminant Analysis. Description: Sosulski, Jan, et al. Improving Covariance Matrices Derived from Tiny Training Datasets for the Classification of Event-Related Potentials with Linear Discriminant Analysis. ''Neuroinformatics''. 2021 Jul; '''19''' (3):461-476
Manual praxis and language-production networks, and their links to handedness. Description: Kroliczak, Gregory, et al. Manual praxis and language-production networks, and their links to handedness. ''Cortex''. 2021 Jul; '''140''': 110-127
Model-based aversive learning in humans is supported by preferential task state reactivation. Description: Wise, Toby, et al. Model-based aversive learning in humans is supported by preferential task state reactivation. ''Sci Adv''. 2021 Jul; '''7''' (31):
Multiregional profiling of the brain transmembrane proteome uncovers novel regulators of depression. Description: Li, Shanshan, et al. Multiregional profiling of the brain transmembrane proteome uncovers novel regulators of depression. ''Sci Adv''. 2021 Jul; '''7''' (30):
NPSV: A simulation-driven approach to genotyping structural variants in whole-genome sequencing data. Description: Linderman, Michael D, et al. NPSV: A simulation-driven approach to genotyping structural variants in whole-genome sequencing data. ''Gigascience''. 2021 Jul 1; '''10''' (7):
Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness. Description: Sanz Perl, Yonatan, et al. Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness. ''PLoS Comput Biol''. 2021 Jul; '''17''' (7):e1009139
Predicting partition coefficients for the SAMPL7 physical property challenge using the ClassicalGSG method. Description: Donyapour, Nazanin, et al. Predicting partition coefficients for the SAMPL7 physical property challenge using the ClassicalGSG method. ''J Comput Aided Mol Des''. 2021 Jul; '''35''' (7):819-830
Predicting risk of sudden cardiac death in patients with cardiac sarcoidosis using multimodality imaging and personalized heart modeling in a multivariable classifier. Description: Shade, Julie K, et al. Predicting risk of sudden cardiac death in patients with cardiac sarcoidosis using multimodality imaging and personalized heart modeling in a multivariable classifier. ''Sci Adv''. 2021 Jul; '''7''' (31):
Radiomic features of plaques derived from coronary CT angiography to identify hemodynamically significant coronary stenosis, using invasive FFR as the reference standard. Description: Li, Lin, et al. Radiomic features of plaques derived from coronary CT angiography to identify hemodynamically significant coronary stenosis, using invasive FFR as the reference standard. ''Eur J Radiol''. 2021 Jul; '''140''': 109769
Reducing Sanger confirmation testing through false positive prediction algorithms. Description: Holt, James M, et al. Reducing Sanger confirmation testing through false positive prediction algorithms. ''Genet Med''. 2021 Jul; '''23''' (7):1255-1262
Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing. Description: Villena, Fabian, et al. Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing. ''BMC Med Inform Decis Mak''. 2021 Jul 1; '''21''' (1):208
Systematic misestimation of machine learning performance in neuroimaging studies of depression. Description: Flint, Claas, et al. Systematic misestimation of machine learning performance in neuroimaging studies of depression. ''Neuropsychopharmacology''. 2021 Jul; '''46''' (8):1510-1517
Systematic volumetric analysis predicts response to CSF drainage and outcome to shunt surgery in idiopathic normal pressure hydrocephalus. Description: Wu, Dan, et al. Systematic volumetric analysis predicts response to CSF drainage and outcome to shunt surgery in idiopathic normal pressure hydrocephalus. ''Eur Radiol''. 2021 Jul; '''31''' (7):4972-4980
b2bTools: online predictions for protein biophysical features and their conservation. Description: Kagami, Luciano Porto, et al. b2bTools: online predictions for protein biophysical features and their conservation. ''Nucleic Acids Res''. 2021 Jul 2; '''49''' (W1):W52-W59
Diagnostic of Operation Conditions and Sensor Faults Using Machine Learning in Sucker-Rod Pumping Wells. Description: Nascimento, Joao, et al. Diagnostic of Operation Conditions and Sensor Faults Using Machine Learning in Sucker-Rod Pumping Wells. ''Sensors (Basel)''. 2021 Jul 2; '''21''' (13):
mmCSM-PPI: predicting the effects of multiple point mutations on protein-protein interactions. Description: Rodrigues, Carlos H M, et al. mmCSM-PPI: predicting the effects of multiple point mutations on protein-protein interactions. ''Nucleic Acids Res''. 2021 Jul 2; '''49''' (W1):W417-W424
Nonadditivity in public and inhouse data: implications for drug design. Description: Gogishvili, D, et al. Nonadditivity in public and inhouse data: implications for drug design. ''J Cheminform''. 2021 Jul 2; '''13''' (1):47
Recognizing and validating ligands with CheckMyBlob. Description: Brzezinski, Dariusz, et al. Recognizing and validating ligands with CheckMyBlob. ''Nucleic Acids Res''. 2021 Jul 2; '''49''' (W1):W86-W92
VirtualTaste: a web server for the prediction of organoleptic properties of chemical compounds. Description: Fritz, Franziska, et al. VirtualTaste: a web server for the prediction of organoleptic properties of chemical compounds. ''Nucleic Acids Res''. 2021 Jul 2; '''49''' (W1):W679-W684
Differential gene expression identifies a transcriptional regulatory network involving ER-alpha and PITX1 in invasive epithelial ovarian cancer. Description: Li, Yichao, et al. Differential gene expression identifies a transcriptional regulatory network involving ER-alpha and PITX1 in invasive epithelial ovarian cancer. ''BMC Cancer''. 2021 Jul 3; '''21''' (1):768
Accuracy of Measuring Knee Flexion after TKA through Wearable IMU Sensors. Description: Antunes, Ricardo, et al. Accuracy of Measuring Knee Flexion after TKA through Wearable IMU Sensors. ''J Funct Morphol Kinesiol''. 2021 Jul 5; '''6''' (3):
Accurate long-range forecasting of COVID-19 mortality in the USA. Description: Ramazi, Pouria, et al. Accurate long-range forecasting of COVID-19 mortality in the USA. ''Sci Rep''. 2021 Jul 5; '''11''' (1):13822
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data. Description: Wang, Robin, et al. Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data. ''Eur Radiol''. 2021 Jul 5;
Bone mineral density response prediction following osteoporosis treatment using machine learning to aid personalized therapy. Description: Tanphiriyakun, Thiraphat, et al. Bone mineral density response prediction following osteoporosis treatment using machine learning to aid personalized therapy. ''Sci Rep''. 2021 Jul 5; '''11''' (1):13811
Received Signal Strength Fingerprinting-Based Indoor Location Estimation Employing Machine Learning. Description: Polak, Ladislav, et al. Received Signal Strength Fingerprinting-Based Indoor Location Estimation Employing Machine Learning. ''Sensors (Basel)''. 2021 Jul 5; '''21''' (13):
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images. Description: Ravi, Vinayakumar, et al. Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images. ''Multimed Syst''. 2021 Jul 6; 1-15
Integration of transcriptomic data identifies key hallmark genes in hypertrophic cardiomyopathy. Description: Xu, Jing, et al. Integration of transcriptomic data identifies key hallmark genes in hypertrophic cardiomyopathy. ''BMC Cardiovasc Disord''. 2021 Jul 6; '''21''' (1):330
Machine Learning Uncovers Adverse Drug Effects on Intestinal Bacteria. Description: McCoubrey, Laura E, et al. Machine Learning Uncovers Adverse Drug Effects on Intestinal Bacteria. ''Pharmaceutics''. 2021 Jul 6; '''13''' (7):
A Machine Learning Tool to Predict the Antibacterial Capacity of Nanoparticles. Description: Mirzaei, Mahsa, et al. A Machine Learning Tool to Predict the Antibacterial Capacity of Nanoparticles. ''Nanomaterials (Basel)''. 2021 Jul 7; '''11''' (7):
Machine learning designs non-hemolytic antimicrobial peptides. Description: Capecchi, Alice, et al. Machine learning designs non-hemolytic antimicrobial peptides. ''Chem Sci''. 2021 Jul 7; '''12''' (26):9221-9232
Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodies. Description: Greaney, Allison J, et al. Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodies. ''Nat Commun''. 2021 Jul 7; '''12''' (1):4196
Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective Study. Description: Lee, Jewel Y, et al. Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective Study. ''JMIR Med Inform''. 2021 Jul 8; '''9''' (7):e29986
Detection of Minor and Major Depression through Voice as a Biomarker Using Machine Learning. Description: Shin, Daun, et al. Detection of Minor and Major Depression through Voice as a Biomarker Using Machine Learning. ''J Clin Med''. 2021 Jul 8; '''10''' (14):
Modularity and robustness of frontal cortical networks. Description: Chen, Guang, et al. Modularity and robustness of frontal cortical networks. ''Cell''. 2021 Jul 8; '''184''' (14):3717-3730.e24
Application of Machine Learning for Fenceline Monitoring of Odor Classes and Concentrations at a Wastewater Treatment Plant. Description: Cangialosi, Federico, et al. Application of Machine Learning for Fenceline Monitoring of Odor Classes and Concentrations at a Wastewater Treatment Plant. ''Sensors (Basel)''. 2021 Jul 9; '''21''' (14):
Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers. Description: Abid, Mariem, et al. Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers. ''Sensors (Basel)''. 2021 Jul 9; '''21''' (14):
Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases. Description: Zhan, Xianghao, et al. Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases. ''Patterns (N Y)''. 2021 Jul 9; '''2''' (7):100289
Deconstructing the mouse olfactory percept through an ethological atlas. Description: Manoel, Diogo, et al. Deconstructing the mouse olfactory percept through an ethological atlas. ''Curr Biol''. 2021 Jul 12; '''31''' (13):2809-2818.e3
Deep learning identifies antigenic determinants of severe SARS-CoV-2 infection within T-cell repertoires. Description: Sidhom, John-William, et al. Deep learning identifies antigenic determinants of severe SARS-CoV-2 infection within T-cell repertoires. ''Sci Rep''. 2021 Jul 12; '''11''' (1):14275
On the feasibility of deep learning applications using raw mass spectrometry data. Description: Cadow, Joris, et al. On the feasibility of deep learning applications using raw mass spectrometry data. ''Bioinformatics''. 2021 Jul 12; '''37''' (Suppl_1):i245-i253
Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study. Description: Opoku Asare, Kennedy, et al. Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study. ''JMIR Mhealth Uhealth''. 2021 Jul 12; '''9''' (7):e26540
Classical and Neural Network Machine Learning to Determine the Risk of Marijuana Use. Description: Zoboroski, Laura, et al. Classical and Neural Network Machine Learning to Determine the Risk of Marijuana Use. ''Int J Environ Res Public Health''. 2021 Jul 13; '''18''' (14):
Sensing leg movement enhances wearable monitoring of energy expenditure. Description: Slade, Patrick, et al. Sensing leg movement enhances wearable monitoring of energy expenditure. ''Nat Commun''. 2021 Jul 13; '''12''' (1):4312
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data. Description: Poirion, Olivier B, et al. DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data. ''Genome Med''. 2021 Jul 14; '''13''' (1):112
Machine-learning-accelerated multimodal characterization and multiobjective design optimization of natural porous materials. Description: Lo Dico, Giulia, et al. Machine-learning-accelerated multimodal characterization and multiobjective design optimization of natural porous materials. ''Chem Sci''. 2021 Jul 14; '''12''' (27):9309-9317
MALBoost: a web-based application for gene regulatory network analysis in Plasmodium falciparum. Description: van Wyk, Roelof, et al. MALBoost: a web-based application for gene regulatory network analysis in Plasmodium falciparum. ''Malar J''. 2021 Jul 14; '''20''' (1):317
Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data. Description: Feng, Jiarui, et al. Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data. ''NPJ Digit Med''. 2021 Jul 14; '''4''' (1):108
Revealing the Threat of Emerging SARS-CoV-2 Mutations to Antibody Therapies. Description: Chen, Jiahui, et al. Revealing the Threat of Emerging SARS-CoV-2 Mutations to Antibody Therapies. ''J Mol Biol''. 2021 Jul 14; '''433''' (18):167155
Distinct synaptic transfer functions in same-type photoreceptors. Description: Schroder, Cornelius, et al. Distinct synaptic transfer functions in same-type photoreceptors. ''Elife''. 2021 Jul 16; '''10''':
Prediction of Pest Insect Appearance Using Sensors and Machine Learning. Description: Markovic, Dusan, et al. Prediction of Pest Insect Appearance Using Sensors and Machine Learning. ''Sensors (Basel)''. 2021 Jul 16; '''21''' (14):
Standard assessments of climate forecast skill can be misleading. Description: Risbey, James S, et al. Standard assessments of climate forecast skill can be misleading. ''Nat Commun''. 2021 Jul 16; '''12''' (1):4346
Development of Machine Learning Models for Prediction of Osteoporosis from Clinical Health Examination Data. Description: Ou Yang, Wen-Yu, et al. Development of Machine Learning Models for Prediction of Osteoporosis from Clinical Health Examination Data. ''Int J Environ Res Public Health''. 2021 Jul 18; '''18''' (14):
Individualized Prognostic Prediction of the Long-Term Functional Trajectory in Pediatric Acquired Brain Injury. Description: Molteni, Erika, et al. Individualized Prognostic Prediction of the Long-Term Functional Trajectory in Pediatric Acquired Brain Injury. ''J Pers Med''. 2021 Jul 18; '''11''' (7):
Assessing Versatile Machine Learning Models for Glioma Radiogenomic Studies across Hospitals. Description: Kawaguchi, Risa K, et al. Assessing Versatile Machine Learning Models for Glioma Radiogenomic Studies across Hospitals. ''Cancers (Basel)''. 2021 Jul 19; '''13''' (14):
Performance Comparisons of AlexNet and GoogLeNet in Cell Growth Inhibition IC50 Prediction. Description: Lee, Yeeun, et al. Performance Comparisons of AlexNet and GoogLeNet in Cell Growth Inhibition IC50 Prediction. ''Int J Mol Sci''. 2021 Jul 19; '''22''' (14):
Predicting mortality of individual patients with COVID-19: a multicentre Dutch cohort. Description: Ottenhoff, Maarten C, et al. Predicting mortality of individual patients with COVID-19: a multicentre Dutch cohort. ''BMJ Open''. 2021 Jul 19; '''11''' (7):e047347
Alternative 3' UTRs play a widespread role in translation-independent mRNA association with the endoplasmic reticulum. Description: Cheng, Larry C, et al. Alternative 3' UTRs play a widespread role in translation-independent mRNA association with the endoplasmic reticulum. ''Cell Rep''. 2021 Jul 20; '''36''' (3):109407
Crack Detection in Images of Masonry Using CNNs. Description: Hallee, Mitchell J, et al. Crack Detection in Images of Masonry Using CNNs. ''Sensors (Basel)''. 2021 Jul 20; '''21''' (14):
Current challenges for unseen-epitope TCR interaction prediction and a new perspective derived from image classification. Description: Moris, Pieter, et al. Current challenges for unseen-epitope TCR interaction prediction and a new perspective derived from image classification. ''Brief Bioinform''. 2021 Jul 20; '''22''' (4):
Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations. Description: Li, Ying, et al. Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations. ''Brief Bioinform''. 2021 Jul 20; '''22''' (4):
Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data. Description: Zuo, Chunman, et al. Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data. ''Brief Bioinform''. 2021 Jul 20; '''22''' (4):
Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset. Description: Rinderknecht, Mike D, et al. Predicting critical state after COVID-19 diagnosis: model development using a large US electronic health record dataset. ''NPJ Digit Med''. 2021 Jul 20; '''4''' (1):113
dSPRINT: predicting DNA, RNA, ion, peptide and small molecule interaction sites within protein domains. Description: Etzion-Fuchs, Anat, et al. dSPRINT: predicting DNA, RNA, ion, peptide and small molecule interaction sites within protein domains. ''Nucleic Acids Res''. 2021 Jul 21; '''49''' (13):e78
flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions. Description: Hu, Gang, et al. flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions. ''Nat Commun''. 2021 Jul 21; '''12''' (1):4438
Machine learning approach for discrimination of genotypes based on bright-field cellular images. Description: Suzuki, Godai, et al. Machine learning approach for discrimination of genotypes based on bright-field cellular images. ''NPJ Syst Biol Appl''. 2021 Jul 21; '''7''' (1):31
Reactivation of a developmentally silenced embryonic globin gene. Description: King, Andrew J, et al. Reactivation of a developmentally silenced embryonic globin gene. ''Nat Commun''. 2021 Jul 21; '''12''' (1):4439
Sensorimotor strategies and neuronal representations for shape discrimination. Description: Rodgers, Chris C, et al. Sensorimotor strategies and neuronal representations for shape discrimination. ''Neuron''. 2021 Jul 21; '''109''' (14):2308-2325.e10
Unbiased Proteomic and Phosphoproteomic Analysis Identifies Response Signatures and Novel Susceptibilities After Combined MEK and mTOR Inhibition in BRAF(V600E) Mutant Glioma. Description: Maxwell, Micah J, et al. Unbiased Proteomic and Phosphoproteomic Analysis Identifies Response Signatures and Novel Susceptibilities After Combined MEK and mTOR Inhibition in BRAF(V600E) Mutant Glioma. ''Mol Cell Proteomics''. 2021 Jul 21; '''20''': 100123
A novel framework for designing a multi-DoF prosthetic wrist control using machine learning. Description: Swami, Chinmay P, et al. A novel framework for designing a multi-DoF prosthetic wrist control using machine learning. ''Sci Rep''. 2021 Jul 22; '''11''' (1):15050
Feature selection for RNA cleavage efficiency at specific sites using the LASSO regression model in Arabidopsis thaliana. Description: Ueno, Daishin, et al. Feature selection for RNA cleavage efficiency at specific sites using the LASSO regression model in Arabidopsis thaliana. ''BMC Bioinformatics''. 2021 Jul 22; '''22''' (1):380
Molecular characterization of projection neuron subtypes in the mouse olfactory bulb. Description: Zeppilli, Sara, et al. Molecular characterization of projection neuron subtypes in the mouse olfactory bulb. ''Elife''. 2021 Jul 22; '''10''':
Predicting Writing Styles of Web-Based Materials for Children's Health Education Using the Selection of Semantic Features: Machine Learning Approach. Description: Xie, Wenxiu, et al. Predicting Writing Styles of Web-Based Materials for Children's Health Education Using the Selection of Semantic Features: Machine Learning Approach. ''JMIR Med Inform''. 2021 Jul 22; '''9''' (7):e30115
Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy. Description: Zhang, Lijie, et al. Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy. ''BMC Med Imaging''. 2021 Jul 23; '''21''' (1):115
Unsupervised Machine Learning to Identify Separable Clinical Alzheimer's Disease Sub-Populations. Description: Prakash, Jayant, et al. Unsupervised Machine Learning to Identify Separable Clinical Alzheimer's Disease Sub-Populations. ''Brain Sci''. 2021 Jul 23; '''11''' (8):
Early Prediction of Physical Performance in Elite Soccer Matches-A Machine Learning Approach to Support Substitutions. Description: Dijkhuis, Talko B, et al. Early Prediction of Physical Performance in Elite Soccer Matches-A Machine Learning Approach to Support Substitutions. ''Entropy (Basel)''. 2021 Jul 25; '''23''' (8):
ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted Bioactivities. Description: Garcia de Lomana, Marina, et al. ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted Bioactivities. ''J Chem Inf Model''. 2021 Jul 26; '''61''' (7):3255-3272
pdCSM-cancer: Using Graph-Based Signatures to Identify Small Molecules with Anticancer Properties. Description: Al-Jarf, Raghad, et al. pdCSM-cancer: Using Graph-Based Signatures to Identify Small Molecules with Anticancer Properties. ''J Chem Inf Model''. 2021 Jul 26; '''61''' (7):3314-3322
Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients. Description: Yan, Jing, et al. Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients. ''NPJ Precis Oncol''. 2021 Jul 26; '''5''' (1):72
Transcriptomic and Metabolic Network Analysis of Metabolic Reprogramming and IGF-1 Modulation in SCA3 Transgenic Mice. Description: Lin, Yu-Te, et al. Transcriptomic and Metabolic Network Analysis of Metabolic Reprogramming and IGF-1 Modulation in SCA3 Transgenic Mice. ''Int J Mol Sci''. 2021 Jul 26; '''22''' (15):
Complete representation of action space and value in all dorsal striatal pathways. Description: Weglage, Moritz, et al. Complete representation of action space and value in all dorsal striatal pathways. ''Cell Rep''. 2021 Jul 27; '''36''' (4):109437
DeTOKI identifies and characterizes the dynamics of chromatin TAD-like domains in a single cell. Description: Li, Xiao, et al. DeTOKI identifies and characterizes the dynamics of chromatin TAD-like domains in a single cell. ''Genome Biol''. 2021 Jul 27; '''22''' (1):217
Expected impact of lockdown measures due to COVID-19 on disabling conditions: a modelling study of chronic low back pain. Description: Galbusera, Fabio, et al. Expected impact of lockdown measures due to COVID-19 on disabling conditions: a modelling study of chronic low back pain. ''Eur Spine J''. 2021 Jul 27;
Gut microbiome dysbiosis during COVID-19 is associated with increased risk for bacteremia and microbial translocation. Description: Venzon, Mericien, et al. Gut microbiome dysbiosis during COVID-19 is associated with increased risk for bacteremia and microbial translocation. ''Res Sq''. 2021 Jul 27;
Learning Ordinal Embedding from Sets. Description: Diallo, Aissatou, et al. Learning Ordinal Embedding from Sets. ''Entropy (Basel)''. 2021 Jul 27; '''23''' (8):
Mapping each pre-existing condition's association to short-term and long-term COVID-19 complications. Description: Venkatakrishnan, A J, et al. Mapping each pre-existing condition's association to short-term and long-term COVID-19 complications. ''NPJ Digit Med''. 2021 Jul 27; '''4''' (1):117
PON-Sol2: Prediction of Effects of Variants on Protein Solubility. Description: Yang, Yang, et al. PON-Sol2: Prediction of Effects of Variants on Protein Solubility. ''Int J Mol Sci''. 2021 Jul 27; '''22''' (15):
Predicting 1-Year Mortality after Hip Fracture Surgery: An Evaluation of Multiple Machine Learning Approaches. Description: Forssten, Maximilian Peter, et al. Predicting 1-Year Mortality after Hip Fracture Surgery: An Evaluation of Multiple Machine Learning Approaches. ''J Pers Med''. 2021 Jul 27; '''11''' (8):
Usefulness of a Hepatitis B Surface Antigen-Based Model for the Prediction of Functional Cure in Patients with Chronic Hepatitis B Virus Infection Treated with Nucleos(t)ide Analogues: A Real-World Study. Description: Caviglia, Gian Paolo, et al. Usefulness of a Hepatitis B Surface Antigen-Based Model for the Prediction of Functional Cure in Patients with Chronic Hepatitis B Virus Infection Treated with Nucleos(t)ide Analogues: A Real-World Study. ''J Clin Med''. 2021 Jul 27; '''10''' (15):
An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation. Description: Zhang, Yihan, et al. An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation. ''J Transl Med''. 2021 Jul 28; '''19''' (1):321
Disentangling Semantic Composition and Semantic Association in the Left Temporal Lobe. Description: Li, Jixing, et al. Disentangling Semantic Composition and Semantic Association in the Left Temporal Lobe. ''J Neurosci''. 2021 Jul 28; '''41''' (30):6526-6538
Distinct signatures of codon and codon pair usage in 32 primary tumor types in the novel database CancerCoCoPUTs for cancer-specific codon usage. Description: Meyer, Douglas, et al. Distinct signatures of codon and codon pair usage in 32 primary tumor types in the novel database CancerCoCoPUTs for cancer-specific codon usage. ''Genome Med''. 2021 Jul 28; '''13''' (1):122
Identification of Broad-Spectrum MMP Inhibitors by Virtual Screening. Description: Gimeno, Aleix, et al. Identification of Broad-Spectrum MMP Inhibitors by Virtual Screening. ''Molecules''. 2021 Jul 28; '''26''' (15):
Investigating Global Lipidome Alterations with the Lipid Network Explorer. Description: Kohler, Nikolai, et al. Investigating Global Lipidome Alterations with the Lipid Network Explorer. ''Metabolites''. 2021 Jul 28; '''11''' (8):
Machine Learning to Predict the Progression of Bone Mass Loss Associated with Personal Characteristics and a Metabolic Syndrome Scoring Index. Description: Cheng, Chao-Hsin, et al. Machine Learning to Predict the Progression of Bone Mass Loss Associated with Personal Characteristics and a Metabolic Syndrome Scoring Index. ''Healthcare (Basel)''. 2021 Jul 28; '''9''' (8):
Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets. Description: Jaganathan, Keerthana, et al. Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets. ''Int J Mol Sci''. 2021 Jul 28; '''22''' (15):
Application of Machine Learning for Predicting Anastomotic Leakage in Patients with Gastric Adenocarcinoma Who Received Total or Proximal Gastrectomy. Description: Shao, Shengli, et al. Application of Machine Learning for Predicting Anastomotic Leakage in Patients with Gastric Adenocarcinoma Who Received Total or Proximal Gastrectomy. ''J Pers Med''. 2021 Jul 29; '''11''' (8):
Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methods. Description: Chen, Huan, et al. Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methods. ''BMC Med Inform Decis Mak''. 2021 Jul 30; '''21''' (Suppl 2):126
Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults. Description: Chun, Matthew, et al. Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults. ''J Am Med Inform Assoc''. 2021 Jul 30; '''28''' (8):1719-1727
A neural substrate of compulsive alcohol use. Description: Domi, Esi, et al. A neural substrate of compulsive alcohol use. ''Sci Adv''. 2021 Aug; '''7''' (34):
A probabilistic model for the ultradian timing of REM sleep in mice. Description: Park, Sung-Ho, et al. A probabilistic model for the ultradian timing of REM sleep in mice. ''PLoS Comput Biol''. 2021 Aug; '''17''' (8):e1009316
Branching development of early post-implantation human embryonic-like tissues in 3D stem cell culture. Description: Chen, Kejie, et al. Branching development of early post-implantation human embryonic-like tissues in 3D stem cell culture. ''Biomaterials''. 2021 Aug; '''275''': 120898
Cancer Grade Model: a multi-gene machine learning-based risk classification for improving prognosis in breast cancer. Description: Amiri Souri, E, et al. Cancer Grade Model: a multi-gene machine learning-based risk classification for improving prognosis in breast cancer. ''Br J Cancer''. 2021 Aug; '''125''' (5):748-758
ComplexFinder: A software package for the analysis of native protein complex fractionation experiments. Description: Nolte, Hendrik, et al. ComplexFinder: A software package for the analysis of native protein complex fractionation experiments. ''Biochim Biophys Acta Bioenerg''. 2021 Aug 1; '''1862''' (8):148444
CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice. Description: Koyuncu, Deniz, et al. CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice. ''PLoS Pathog''. 2021 Aug; '''17''' (8):e1009773
Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. Description: Liu, Xianggen, et al. Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. ''PLoS Comput Biol''. 2021 Aug; '''17''' (8):e1009284
Development and application of the ocular immune-mediated inflammatory diseases ontology enhanced with synonyms from online patient support forum conversation. Description: Pendleton, Samantha C, et al. Development and application of the ocular immune-mediated inflammatory diseases ontology enhanced with synonyms from online patient support forum conversation. ''Comput Biol Med''. 2021 Aug; '''135''': 104542
Development of blood brain barrier permeation prediction models for organic and inorganic biocidal active substances. Description: Shin, Hyun Kil, et al. Development of blood brain barrier permeation prediction models for organic and inorganic biocidal active substances. ''Chemosphere''. 2021 Aug; '''277''': 130330
Elucidation and control of low and high active populations of alkaline phosphatase molecules for quantitative digital bioassay. Description: Ueno, Hiroshi, et al. Elucidation and control of low and high active populations of alkaline phosphatase molecules for quantitative digital bioassay. ''Protein Sci''. 2021 Aug; '''30''' (8):1628-1639
Fast screening of covariates in population models empowered by machine learning. Description: Sibieude, Emeric, et al. Fast screening of covariates in population models empowered by machine learning. ''J Pharmacokinet Pharmacodyn''. 2021 Aug; '''48''' (4):597-609
Genomic network analysis of environmental and livestock F-type plasmid populations. Description: Matlock, William, et al. Genomic network analysis of environmental and livestock F-type plasmid populations. ''ISME J''. 2021 Aug; '''15''' (8):2322-2335
Machine learning reveals sequence-function relationships in family 7 glycoside hydrolases. Description: Gado, Japheth E, et al. Machine learning reveals sequence-function relationships in family 7 glycoside hydrolases. ''J Biol Chem''. 2021 Aug; '''297''' (2):100931
Molecular insights on ABL kinase activation using tree-based machine learning models and molecular docking. Description: Fernandes, Philipe Oliveira, et al. Molecular insights on ABL kinase activation using tree-based machine learning models and molecular docking. ''Mol Divers''. 2021 Aug; '''25''' (3):1301-1314
Motor synergies: Evidence for a novel motor signature in autism spectrum disorder. Description: Emanuele, M, et al. Motor synergies: Evidence for a novel motor signature in autism spectrum disorder. ''Cognition''. 2021 Aug; '''213''': 104652
Multiple illumination learned spectral decoloring for quantitative optoacoustic oximetry imaging. Description: Kirchner, Thomas, et al. Multiple illumination learned spectral decoloring for quantitative optoacoustic oximetry imaging. ''J Biomed Opt''. 2021 Aug; '''26''' (8):
Multitrait GWAS to connect disease variants and biological mechanisms. Description: Julienne, Hanna, et al. Multitrait GWAS to connect disease variants and biological mechanisms. ''PLoS Genet''. 2021 Aug; '''17''' (8):e1009713
Predicting and investigating cytotoxicity of nanoparticles by translucent machine learning. Description: Yu, Hengjie, et al. Predicting and investigating cytotoxicity of nanoparticles by translucent machine learning. ''Chemosphere''. 2021 Aug; '''276''': 130164
Prediction of Motor Function in Stroke Patients Using Machine Learning Algorithm: Development of Practical Models. Description: Kim, Jeoung Kun, et al. Prediction of Motor Function in Stroke Patients Using Machine Learning Algorithm: Development of Practical Models. ''J Stroke Cerebrovasc Dis''. 2021 Aug; '''30''' (8):105856
Radiomics score predicts acute respiratory distress syndrome based on the initial CT scan after trauma. Description: Rohrich, Sebastian, et al. Radiomics score predicts acute respiratory distress syndrome based on the initial CT scan after trauma. ''Eur Radiol''. 2021 Aug; '''31''' (8):5443-5453
Single-cell-resolved differentiation of human induced pluripotent stem cells into pancreatic duct-like organoids on a microwell chip. Description: Wiedenmann, Sandra, et al. Single-cell-resolved differentiation of human induced pluripotent stem cells into pancreatic duct-like organoids on a microwell chip. ''Nat Biomed Eng''. 2021 Aug; '''5''' (8):897-913
Systematic mapping of global research on climate and health: a machine learning review. Description: Berrang-Ford, Lea, et al. Systematic mapping of global research on climate and health: a machine learning review. ''Lancet Planet Health''. 2021 Aug; '''5''' (8):e514-e525
Transcriptional milestones in Dictyostelium development. Description: Katoh-Kurasawa, Mariko, et al. Transcriptional milestones in Dictyostelium development. ''Genome Res''. 2021 Aug; '''31''' (8):1498-1511
Biased orientation representations can be explained by experience with nonuniform training set statistics. Description: Henderson, Margaret, et al. Biased orientation representations can be explained by experience with nonuniform training set statistics. ''J Vis''. 2021 Aug 2; '''21''' (8):10
CYPstrate: A Set of Machine Learning Models for the Accurate Classification of Cytochrome P450 Enzyme Substrates and Non-Substrates. Description: Holmer, Malte, et al. CYPstrate: A Set of Machine Learning Models for the Accurate Classification of Cytochrome P450 Enzyme Substrates and Non-Substrates. ''Molecules''. 2021 Aug 2; '''26''' (15):
Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints. Description: Lovric, Mario, et al. Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints. ''Pharmaceuticals (Basel)''. 2021 Aug 2; '''14''' (8):
Zinc binding alters the conformational dynamics and drives the transport cycle of the cation diffusion facilitator YiiP. Description: Lopez-Redondo, Maria, et al. Zinc binding alters the conformational dynamics and drives the transport cycle of the cation diffusion facilitator YiiP. ''J Gen Physiol''. 2021 Aug 2; '''153''' (8):
Bioacoustic classification of avian calls from raw sound waveforms with an open-source deep learning architecture. Description: Bravo Sanchez, Francisco J, et al. Bioacoustic classification of avian calls from raw sound waveforms with an open-source deep learning architecture. ''Sci Rep''. 2021 Aug 3; '''11''' (1):15733
CpACpP: In Silico Cell-Penetrating Anticancer Peptide Prediction Using a Novel Bioinformatics Framework. Description: Nasiri, Farid, et al. CpACpP: In Silico Cell-Penetrating Anticancer Peptide Prediction Using a Novel Bioinformatics Framework. ''ACS Omega''. 2021 Aug 3; '''6''' (30):19846-19859
Large-scale functional coactivation patterns reflect the structural connectivity of the medial prefrontal cortex. Description: Tovar, Dale T, et al. Large-scale functional coactivation patterns reflect the structural connectivity of the medial prefrontal cortex. ''Soc Cogn Affect Neurosci''. 2021 Aug 5; '''16''' (8):875-882
Multicenter DSC-MRI-Based Radiomics Predict IDH Mutation in Gliomas. Description: Manikis, Georgios C, et al. Multicenter DSC-MRI-Based Radiomics Predict IDH Mutation in Gliomas. ''Cancers (Basel)''. 2021 Aug 5; '''13''' (16):
The post-translational modification landscape of commercial beers. Description: Kerr, Edward D, et al. The post-translational modification landscape of commercial beers. ''Sci Rep''. 2021 Aug 5; '''11''' (1):15890
Improvement of APACHE II score system for disease severity based on XGBoost algorithm. Description: Luo, Yan, et al. Improvement of APACHE II score system for disease severity based on XGBoost algorithm. ''BMC Med Inform Decis Mak''. 2021 Aug 6; '''21''' (1):237
Non-linear dimensionality reduction on extracellular waveforms reveals cell type diversity in premotor cortex. Description: Lee, Eric Kenji, et al. Non-linear dimensionality reduction on extracellular waveforms reveals cell type diversity in premotor cortex. ''Elife''. 2021 Aug 6; '''10''':
Normalization of HE-stained histological images using cycle consistent generative adversarial networks. Description: Runz, Marlen, et al. Normalization of HE-stained histological images using cycle consistent generative adversarial networks. ''Diagn Pathol''. 2021 Aug 6; '''16''' (1):71
Predicting Depression in Community Dwellers Using a Machine Learning Algorithm. Description: Cho, Seo-Eun, et al. Predicting Depression in Community Dwellers Using a Machine Learning Algorithm. ''Diagnostics (Basel)''. 2021 Aug 7; '''11''' (8):
Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple Sclerosis. Description: Trentzsch, Katrin, et al. Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple Sclerosis. ''Brain Sci''. 2021 Aug 7; '''11''' (8):
A Genome-Wide CRISPR/Cas9 Screen Reveals the Requirement of Host Sphingomyelin Synthase 1 for Infection with Pseudorabies Virus Mutant gD(-)Pass. Description: Holper, Julia E, et al. A Genome-Wide CRISPR/Cas9 Screen Reveals the Requirement of Host Sphingomyelin Synthase 1 for Infection with Pseudorabies Virus Mutant gD(-)Pass. ''Viruses''. 2021 Aug 9; '''13''' (8):
Genome-wide sequencing as a first-tier screening test for short tandem repeat expansions. Description: Rajan-Babu, Indhu-Shree, et al. Genome-wide sequencing as a first-tier screening test for short tandem repeat expansions. ''Genome Med''. 2021 Aug 9; '''13''' (1):126
Machine Learning Approach for Active Vaccine Safety Monitoring. Description: Kim, Yujeong, et al. Machine Learning Approach for Active Vaccine Safety Monitoring. ''J Korean Med Sci''. 2021 Aug 9; '''36''' (31):e198
Machine learning screening of bile acid-binding peptides in a peptide database derived from food proteins. Description: Imai, Kento, et al. Machine learning screening of bile acid-binding peptides in a peptide database derived from food proteins. ''Sci Rep''. 2021 Aug 9; '''11''' (1):16123
QPHAR: quantitative pharmacophore activity relationship: method and validation. Description: Kohlbacher, Stefan M, et al. QPHAR: quantitative pharmacophore activity relationship: method and validation. ''J Cheminform''. 2021 Aug 9; '''13''' (1):57
Decoding distinctive features of plasma extracellular vesicles in amyotrophic lateral sclerosis. Description: Pasetto, Laura, et al. Decoding distinctive features of plasma extracellular vesicles in amyotrophic lateral sclerosis. ''Mol Neurodegener''. 2021 Aug 10; '''16''' (1):52
Disrupted Strength and Stability of Regional Brain Activity in Disorder of Consciousness Patients: A Resting-State Functional Magnetic Resonance Imaging Study. Description: Yu, Yamei, et al. Disrupted Strength and Stability of Regional Brain Activity in Disorder of Consciousness Patients: A Resting-State Functional Magnetic Resonance Imaging Study. ''Neuroscience''. 2021 Aug 10; '''469''': 59-67
Endoscopic Image-Based Skill Assessment in Robot-Assisted Minimally Invasive Surgery. Description: Lajko, Gabor, et al. Endoscopic Image-Based Skill Assessment in Robot-Assisted Minimally Invasive Surgery. ''Sensors (Basel)''. 2021 Aug 10; '''21''' (16):
Geographic source estimation using airborne plant environmental DNA in dust. Description: Lennartz, Chelsea, et al. Geographic source estimation using airborne plant environmental DNA in dust. ''Sci Rep''. 2021 Aug 10; '''11''' (1):16238
Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis. Description: Liu, Siru, et al. Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis. ''J Med Internet Res''. 2021 Aug 10; '''23''' (8):e30251
Analyzing the Compressive Strength of Ceramic Waste-Based Concrete Using Experiment and Artificial Neural Network (ANN) Approach. Description: Song, Hongwei, et al. Analyzing the Compressive Strength of Ceramic Waste-Based Concrete Using Experiment and Artificial Neural Network (ANN) Approach. ''Materials (Basel)''. 2021 Aug 11; '''14''' (16):
B3Pred: A Random-Forest-Based Method for Predicting and Designing Blood-Brain Barrier Penetrating Peptides. Description: Kumar, Vinod, et al. B3Pred: A Random-Forest-Based Method for Predicting and Designing Blood-Brain Barrier Penetrating Peptides. ''Pharmaceutics''. 2021 Aug 11; '''13''' (8):
Predicting the Skin Sensitization Potential of Small Molecules with Machine Learning Models Trained on Biologically Meaningful Descriptors. Description: Wilm, Anke, et al. Predicting the Skin Sensitization Potential of Small Molecules with Machine Learning Models Trained on Biologically Meaningful Descriptors. ''Pharmaceuticals (Basel)''. 2021 Aug 11; '''14''' (8):
An N-Cadherin 2 expressing epithelial cell subpopulation predicts response to surgery, chemotherapy and immunotherapy in bladder cancer. Description: Gouin, Kenneth H 3rd, et al. An N-Cadherin 2 expressing epithelial cell subpopulation predicts response to surgery, chemotherapy and immunotherapy in bladder cancer. ''Nat Commun''. 2021 Aug 12; '''12''' (1):4906
A Robust Machine Learning Based Framework for the Automated Detection of ADHD Using Pupillometric Biomarkers and Time Series Analysis. Description: Das, William, et al. A Robust Machine Learning Based Framework for the Automated Detection of ADHD Using Pupillometric Biomarkers and Time Series Analysis. ''Sci Rep''. 2021 Aug 12; '''11''' (1):16370
Assessing Electrocardiogram and Respiratory Signal Quality of a Wearable Device (SensEcho): Semisupervised Machine Learning-Based Validation Study. Description: Xu, Haoran, et al. Assessing Electrocardiogram and Respiratory Signal Quality of a Wearable Device (SensEcho): Semisupervised Machine Learning-Based Validation Study. ''JMIR Mhealth Uhealth''. 2021 Aug 12; '''9''' (8):e25415
Current-Visit and Next-Visit Prediction for Fatty Liver Disease With a Large-Scale Dataset: Model Development and Performance Comparison. Description: Wu, Cheng-Tse, et al. Current-Visit and Next-Visit Prediction for Fatty Liver Disease With a Large-Scale Dataset: Model Development and Performance Comparison. ''JMIR Med Inform''. 2021 Aug 12; '''9''' (8):e26398
Determination of critical decision points for COVID-19 measures in Japan. Description: Kim, Junu, et al. Determination of critical decision points for COVID-19 measures in Japan. ''Sci Rep''. 2021 Aug 12; '''11''' (1):16416
Estimating the predictive power of silent mutations on cancer classification and prognosis. Description: Gutman, Tal, et al. Estimating the predictive power of silent mutations on cancer classification and prognosis. ''NPJ Genom Med''. 2021 Aug 12; '''6''' (1):67
Genome-wide covariation in SARS-CoV-2. Description: Cresswell-Clay, Evan, et al. Genome-wide covariation in SARS-CoV-2. ''Math Biosci''. 2021 Aug 12; 108678
Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis. Description: Miyoshi, Jun, et al. Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis. ''Sci Rep''. 2021 Aug 12; '''11''' (1):16440
Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans. Description: Mahmoudi, Scherwin, et al. Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans. ''BMC Med Imaging''. 2021 Aug 12; '''21''' (1):123
A machine learning approach identifies 5-ASA and ulcerative colitis as being linked with higher COVID-19 mortality in patients with IBD. Description: Roy, Satyaki, et al. A machine learning approach identifies 5-ASA and ulcerative colitis as being linked with higher COVID-19 mortality in patients with IBD. ''Sci Rep''. 2021 Aug 13; '''11''' (1):16522
Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network. Description: Chen, Xiangning, et al. Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network. ''Patterns (N Y)''. 2021 Aug 13; '''2''' (8):100303
Straglr: discovering and genotyping tandem repeat expansions using whole genome long-read sequences. Description: Chiu, Readman, et al. Straglr: discovering and genotyping tandem repeat expansions using whole genome long-read sequences. ''Genome Biol''. 2021 Aug 13; '''22''' (1):224
Learning protein-ligand binding affinity with atomic environment vectors. Description: Meli, Rocco, et al. Learning protein-ligand binding affinity with atomic environment vectors. ''J Cheminform''. 2021 Aug 14; '''13''' (1):59
Blood-Based Multi-Cancer Detection Using a Novel Variant Calling Assay (DEEPGEN(TM)): Early Clinical Results. Description: Ris, Frederic, et al. Blood-Based Multi-Cancer Detection Using a Novel Variant Calling Assay (DEEPGEN(TM)): Early Clinical Results. ''Cancers (Basel)''. 2021 Aug 15; '''13''' (16):
De novo design with deep generative models based on 3D similarity scoring. Description: Papadopoulos, Kostas, et al. De novo design with deep generative models based on 3D similarity scoring. ''Bioorg Med Chem''. 2021 Aug 15; '''44''': 116308
Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. Description: Haugg, Amelie, et al. Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. ''Neuroimage''. 2021 Aug 15; '''237''': 118207
Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis. Description: Zeng, Zhixuan, et al. Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis. ''BioData Min''. 2021 Aug 16; '''14''' (1):40
Fear in a Handful of Dust: The Epidemiological, Environmental, and Economic Drivers of Death by PM2.5 Pollution. Description: Chen, James Ming, et al. Fear in a Handful of Dust: The Epidemiological, Environmental, and Economic Drivers of Death by PM2.5 Pollution. ''Int J Environ Res Public Health''. 2021 Aug 17; '''18''' (16):
FRETboard: Semisupervised classification of FRET traces. Description: de Lannoy, Carlos Victor, et al. FRETboard: Semisupervised classification of FRET traces. ''Biophys J''. 2021 Aug 17; '''120''' (16):3253-3260
Global metabolome profiling of exhaled breath condensates in male smokers with asthma COPD overlap and prediction of the disease. Description: Ghosh, Nilanjana, et al. Global metabolome profiling of exhaled breath condensates in male smokers with asthma COPD overlap and prediction of the disease. ''Sci Rep''. 2021 Aug 17; '''11''' (1):16664
Implementing an Individual-Centric Discharge Process across Singapore Public Hospitals. Description: Ng, Reuben, et al. Implementing an Individual-Centric Discharge Process across Singapore Public Hospitals. ''Int J Environ Res Public Health''. 2021 Aug 17; '''18''' (16):
Combining machine learning and high-throughput experimentation to discover photocatalytically active organic molecules. Description: Li, Xiaobo, et al. Combining machine learning and high-throughput experimentation to discover photocatalytically active organic molecules. ''Chem Sci''. 2021 Aug 18; '''12''' (32):10742-10754
Machine Learning Models for Sarcopenia Identification Based on Radiomic Features of Muscles in Computed Tomography. Description: Kim, Young Jae. Machine Learning Models for Sarcopenia Identification Based on Radiomic Features of Muscles in Computed Tomography. ''Int J Environ Res Public Health''. 2021 Aug 18; '''18''' (16):
Neuroplasticity within and between Functional Brain Networks in Mental Training Based on Long-Term Meditation. Description: Guidotti, Roberto, et al. Neuroplasticity within and between Functional Brain Networks in Mental Training Based on Long-Term Meditation. ''Brain Sci''. 2021 Aug 18; '''11''' (8):
Optimal Bands Combination Selection for Extracting Garlic Planting Area with Multi-Temporal Sentinel-2 Imagery. Description: Wu, Shuang, et al. Optimal Bands Combination Selection for Extracting Garlic Planting Area with Multi-Temporal Sentinel-2 Imagery. ''Sensors (Basel)''. 2021 Aug 18; '''21''' (16):
Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces. Description: Sawalha, Jeffrey, et al. Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces. ''Sci Rep''. 2021 Aug 18; '''11''' (1):16723
Functional diversity for body actions in the mesencephalic locomotor region. Description: Ferreira-Pinto, Manuel J, et al. Functional diversity for body actions in the mesencephalic locomotor region. ''Cell''. 2021 Aug 19; '''184''' (17):4564-4578.e18
Genome dependent Cas9/gRNA search time underlies sequence dependent gRNA activity. Description: Moreb, E A, et al. Genome dependent Cas9/gRNA search time underlies sequence dependent gRNA activity. ''Nat Commun''. 2021 Aug 19; '''12''' (1):5034
Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty. Description: Mervin, Lewis H, et al. Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty. ''J Cheminform''. 2021 Aug 19; '''13''' (1):62
Use of Hyperspectral Imaging for the Quantification of Organic Contaminants on Copper Surfaces for Electronic Applications. Description: Englert, Tim, et al. Use of Hyperspectral Imaging for the Quantification of Organic Contaminants on Copper Surfaces for Electronic Applications. ''Sensors (Basel)''. 2021 Aug 19; '''21''' (16):
Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register. Description: Cao, Yang, et al. Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register. ''JMIR Med Inform''. 2021 Aug 19; '''9''' (8):e25612
Valproic acid-induced changes of 4D nuclear morphology in astrocyte cells. Description: Kalinin, Alexandr A, et al. Valproic acid-induced changes of 4D nuclear morphology in astrocyte cells. ''Mol Biol Cell''. 2021 Aug 19; '''32''' (18):1624-1633
ANANSE: an enhancer network-based computational approach for predicting key transcription factors in cell fate determination. Description: Xu, Quan, et al. ANANSE: an enhancer network-based computational approach for predicting key transcription factors in cell fate determination. ''Nucleic Acids Res''. 2021 Aug 20; '''49''' (14):7966-7985
A reference-free approach for cell type classification with scRNA-seq. Description: Sun, Qi, et al. A reference-free approach for cell type classification with scRNA-seq. ''iScience''. 2021 Aug 20; '''24''' (8):102855
Developing an Agnostic Risk Prediction Model for Early AKI Detection in Cancer Patients. Description: Scanlon, Lauren A, et al. Developing an Agnostic Risk Prediction Model for Early AKI Detection in Cancer Patients. ''Cancers (Basel)''. 2021 Aug 20; '''13''' (16):
Comparison of 16S and whole genome dog microbiomes using machine learning. Description: Lewis, Scott, et al. Comparison of 16S and whole genome dog microbiomes using machine learning. ''BioData Min''. 2021 Aug 21; '''14''' (1):41
Deep Learning Analysis of In Vivo Hyperspectral Images for Automated Intraoperative Nerve Detection. Description: Barberio, Manuel, et al. Deep Learning Analysis of In Vivo Hyperspectral Images for Automated Intraoperative Nerve Detection. ''Diagnostics (Basel)''. 2021 Aug 21; '''11''' (8):
The correlation between Google trends and salmonellosis. Description: Wang, Ming-Yang, et al. The correlation between Google trends and salmonellosis. ''BMC Public Health''. 2021 Aug 21; '''21''' (1):1575
Characterization of Risk Profiles for Diabetic Retinopathy Progression. Description: Cunha-Vaz, Jose, et al. Characterization of Risk Profiles for Diabetic Retinopathy Progression. ''J Pers Med''. 2021 Aug 23; '''11''' (8):
CT radiomic features of photodynamic priming in clinical pancreatic adenocarcinoma treatment. Description: Vincent, Phuong, et al. CT radiomic features of photodynamic priming in clinical pancreatic adenocarcinoma treatment. ''Phys Med Biol''. 2021 Aug 23; '''66''' (17):
CAPformer: Pedestrian Crossing Action Prediction Using Transformer. Description: Lorenzo, Javier, et al. CAPformer: Pedestrian Crossing Action Prediction Using Transformer. ''Sensors (Basel)''. 2021 Aug 24; '''21''' (17):
Computational Prediction of Compound-Protein Interactions for Orphan Targets Using CGBVS. Description: Kanai, Chisato, et al. Computational Prediction of Compound-Protein Interactions for Orphan Targets Using CGBVS. ''Molecules''. 2021 Aug 24; '''26''' (17):
A Pilot Study of Microbial Succession in Human Rib Skeletal Remains during Terrestrial Decomposition. Description: Deel, Heather, et al. A Pilot Study of Microbial Succession in Human Rib Skeletal Remains during Terrestrial Decomposition. ''mSphere''. 2021 Aug 25; '''6''' (4):e0045521
Cognitive insights from tertiary sulci in prefrontal cortex. Description: Voorhies, Willa I, et al. Cognitive insights from tertiary sulci in prefrontal cortex. ''Nat Commun''. 2021 Aug 25; '''12''' (1):5122
Machine Learning Prediction Models for Mitral Valve Repairability and Mitral Regurgitation Recurrence in Patients Undergoing Surgical Mitral Valve Repair. Description: Penso, Marco, et al. Machine Learning Prediction Models for Mitral Valve Repairability and Mitral Regurgitation Recurrence in Patients Undergoing Surgical Mitral Valve Repair. ''Bioengineering (Basel)''. 2021 Aug 25; '''8''' (9):
Novel metabolomic profile of subjects with non-classic apparent mineralocorticoid excess. Description: Tapia-Castillo, Alejandra, et al. Novel metabolomic profile of subjects with non-classic apparent mineralocorticoid excess. ''Sci Rep''. 2021 Aug 25; '''11''' (1):17156
Opposing roles for striatonigral and striatopallidal neurons in dorsolateral striatum in consolidating new instrumental actions. Description: Smith, Alexander C W, et al. Opposing roles for striatonigral and striatopallidal neurons in dorsolateral striatum in consolidating new instrumental actions. ''Nat Commun''. 2021 Aug 25; '''12''' (1):5121
Sfaira accelerates data and model reuse in single cell genomics. Description: Fischer, David S, et al. Sfaira accelerates data and model reuse in single cell genomics. ''Genome Biol''. 2021 Aug 25; '''22''' (1):248
A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis. Description: Chen, Junde, et al. A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis. ''Knowl Inf Syst''. 2021 Aug 26; 1-26
BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification. Description: Appriou, Aurelien, et al. BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification. ''Sensors (Basel)''. 2021 Aug 26; '''21''' (17):
Moisture modulates soil reservoirs of active DNA and RNA viruses. Description: Wu, Ruonan, et al. Moisture modulates soil reservoirs of active DNA and RNA viruses. ''Commun Biol''. 2021 Aug 26; '''4''' (1):992
Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis Study. Description: Naqvi, Syed Asil Ali, et al. Predicting Kidney Graft Survival Using Machine Learning Methods: Prediction Model Development and Feature Significance Analysis Study. ''J Med Internet Res''. 2021 Aug 27; '''23''' (8):e26843
Supplementation of 1-Kestose Modulates the Gut Microbiota Composition to Ameliorate Glucose Metabolism in Obesity-Prone Hosts. Description: Watanabe, Ayako, et al. Supplementation of 1-Kestose Modulates the Gut Microbiota Composition to Ameliorate Glucose Metabolism in Obesity-Prone Hosts. ''Nutrients''. 2021 Aug 27; '''13''' (9):
The Feasibility of Using Machine Learning to Classify Calls to South African Emergency Dispatch Centres According to Prehospital Diagnosis, by Utilising Caller Descriptions of the Incident. Description: Anthony, Tayla, et al. The Feasibility of Using Machine Learning to Classify Calls to South African Emergency Dispatch Centres According to Prehospital Diagnosis, by Utilising Caller Descriptions of the Incident. ''Healthcare (Basel)''. 2021 Aug 27; '''9''' (9):
Automatic ICD-10 Coding and Training System: Deep Neural Network Based on Supervised Learning. Description: Chen, Pei-Fu, et al. Automatic ICD-10 Coding and Training System: Deep Neural Network Based on Supervised Learning. ''JMIR Med Inform''. 2021 Aug 31; '''9''' (8):e23230
B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors. Description: Hsu, Alexander I, et al. B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors. ''Nat Commun''. 2021 Aug 31; '''12''' (1):5188
Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation. Description: Sobczak, Filip, et al. Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation. ''Elife''. 2021 Aug 31; '''10''':
Genome-Scale Metabolic Models and Machine Learning Reveal Genetic Determinants of Antibiotic Resistance in Escherichia coli and Unravel the Underlying Metabolic Adaptation Mechanisms. Description: Pearcy, Nicole, et al. Genome-Scale Metabolic Models and Machine Learning Reveal Genetic Determinants of Antibiotic Resistance in Escherichia coli and Unravel the Underlying Metabolic Adaptation Mechanisms. ''mSystems''. 2021 Aug 31; '''6''' (4):e0091320
Predicting post-operative right ventricular failure using video-based deep learning. Description: Shad, Rohan, et al. Predicting post-operative right ventricular failure using video-based deep learning. ''Nat Commun''. 2021 Aug 31; '''12''' (1):5192
Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning-based Denoising Image Filters. Description: Zormpas-Petridis, Konstantinos, et al. Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning-based Denoising Image Filters. ''Radiol Artif Intell''. 2021 Sep; '''3''' (5):e200279
A combination of mRNA features influence the efficiency of leaderless mRNA translation initiation. Description: Bharmal, Mohammed-Husain M, et al. A combination of mRNA features influence the efficiency of leaderless mRNA translation initiation. ''NAR Genom Bioinform''. 2021 Sep; '''3''' (3):lqab081
A history of previous childbirths is linked to women's white matter brain age in midlife and older age. Description: Voldsbekk, Irene, et al. A history of previous childbirths is linked to women's white matter brain age in midlife and older age. ''Hum Brain Mapp''. 2021 Sep; '''42''' (13):4372-4386
A new technological approach in diagnostic pathology: mass spectrometry imaging-based metabolomics for biomarker detection in urachal cancer. Description: Neumann, Judith Martha, et al. A new technological approach in diagnostic pathology: mass spectrometry imaging-based metabolomics for biomarker detection in urachal cancer. ''Lab Invest''. 2021 Sep; '''101''' (9):1281-1288
A Novel Therapeutic Peptide Blocks SARS-CoV-2 Spike Protein Binding with Host Cell ACE2 Receptor. Description: Rajpoot, Sajjan, et al. A Novel Therapeutic Peptide Blocks SARS-CoV-2 Spike Protein Binding with Host Cell ACE2 Receptor. ''Drugs R D''. 2021 Sep; '''21''' (3):273-283
Arabic text classification: the need for multi-labeling systems. Description: El Rifai, Hozayfa, et al. Arabic text classification: the need for multi-labeling systems. ''Neural Comput Appl''. 2021 Sep 1; 1-25
Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset. Description: Grzesiak, Emilia, et al. Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset. ''JAMA Netw Open''. 2021 Sep 1; '''4''' (9):e2128534
Automated healthcare-associated infection surveillance using an artificial intelligence algorithm. Description: Dos Santos, R P, et al. Automated healthcare-associated infection surveillance using an artificial intelligence algorithm. ''Infect Prev Pract''. 2021 Sep; '''3''' (3):100167
Careful feature selection is key in classification of Alzheimer's disease patients based on whole-genome sequencing data. Description: Osipowicz, Marlena, et al. Careful feature selection is key in classification of Alzheimer's disease patients based on whole-genome sequencing data. ''NAR Genom Bioinform''. 2021 Sep; '''3''' (3):lqab069
Classification of patients with AD from healthy controls using entropy-based measures of causality brain networks. Description: Wu, Yuanchen, et al. Classification of patients with AD from healthy controls using entropy-based measures of causality brain networks. ''J Neurosci Methods''. 2021 Sep 1; '''361''': 109265
Computational methods for integrative evaluation of confidence, accuracy, and reaction time in facial affect recognition in schizophrenia. Description: Badal, Varsha D, et al. Computational methods for integrative evaluation of confidence, accuracy, and reaction time in facial affect recognition in schizophrenia. ''Schizophr Res Cogn''. 2021 Sep; '''25''': 100196
Delivery mode and perinatal antibiotics influence the predicted metabolic pathways of the gut microbiome. Description: Vanni, Petri, et al. Delivery mode and perinatal antibiotics influence the predicted metabolic pathways of the gut microbiome. ''Sci Rep''. 2021 Sep 1; '''11''' (1):17483
dGPredictor: Automated fragmentation method for metabolic reaction free energy prediction and de novo pathway design. Description: Wang, Lin, et al. dGPredictor: Automated fragmentation method for metabolic reaction free energy prediction and de novo pathway design. ''PLoS Comput Biol''. 2021 Sep; '''17''' (9):e1009448
Emerging SARS-CoV-2 Diversity Revealed by Rapid Whole-Genome Sequence Typing. Description: Moustafa, Ahmed M, et al. Emerging SARS-CoV-2 Diversity Revealed by Rapid Whole-Genome Sequence Typing. ''Genome Biol Evol''. 2021 Sep 1; '''13''' (9):
EpiScanpy: integrated single-cell epigenomic analysis. Description: Danese, Anna, et al. EpiScanpy: integrated single-cell epigenomic analysis. ''Nat Commun''. 2021 Sep 1; '''12''' (1):5228
Evaluation of Kidney Histological Images Using Unsupervised Deep Learning. Description: Sato, Noriaki, et al. Evaluation of Kidney Histological Images Using Unsupervised Deep Learning. ''Kidney Int Rep''. 2021 Sep; '''6''' (9):2445-2454
Experimental and computational investigation of enzyme functional annotations uncovers misannotation in the EC 1.1.3.15 enzyme class. Description: Rembeza, Elzbieta, et al. Experimental and computational investigation of enzyme functional annotations uncovers misannotation in the EC 1.1.3.15 enzyme class. ''PLoS Comput Biol''. 2021 Sep; '''17''' (9):e1009446
Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists. Description: Thoral, Patrick J, et al. Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists. ''Crit Care Explor''. 2021 Sep; '''3''' (9):e0529
Genomic landscape and evolution of arm aneuploidy in lung adenocarcinoma. Description: Gao, Beili, et al. Genomic landscape and evolution of arm aneuploidy in lung adenocarcinoma. ''Neoplasia''. 2021 Sep; '''23''' (9):870-878
Intraoperative Mapping of Parathyroid Glands Using Fluorescence Lifetime Imaging. Description: Marsden, Mark, et al. Intraoperative Mapping of Parathyroid Glands Using Fluorescence Lifetime Imaging. ''J Surg Res''. 2021 Sep; '''265''': 42-48
LIVECell-A large-scale dataset for label-free live cell segmentation. Description: Edlund, Christoffer, et al. LIVECell-A large-scale dataset for label-free live cell segmentation. ''Nat Methods''. 2021 Sep; '''18''' (9):1038-1045
Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG. Description: Gibbon, Samuel, et al. Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG. ''Brain Lang''. 2021 Sep; '''220''': 104968
Machine learning-based prediction of Sasang constitution types using comprehensive clinical information and identification of key features for diagnosis. Description: Park, Sa-Yoon, et al. Machine learning-based prediction of Sasang constitution types using comprehensive clinical information and identification of key features for diagnosis. ''Integr Med Res''. 2021 Sep; '''10''' (3):100668
Maturation of biomimetic hydroxyapatite in physiological fluids: a physicochemical and proteomic study. Description: Konka, J, et al. Maturation of biomimetic hydroxyapatite in physiological fluids: a physicochemical and proteomic study. ''Mater Today Bio''. 2021 Sep; '''12''': 100137
Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes. Description: Colato, Elisa, et al. Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes. ''J Neurol Neurosurg Psychiatry''. 2021 Sep; '''92''' (9):995-1006
Prediction of cardiovascular risk in patients with chronic obstructive pulmonary disease: a study of the National Health and Nutrition Examination Survey database. Description: Shi, Yun, et al. Prediction of cardiovascular risk in patients with chronic obstructive pulmonary disease: a study of the National Health and Nutrition Examination Survey database. ''BMC Cardiovasc Disord''. 2021 Sep 1; '''21''' (1):417
Recognizing blood pressure patterns in sedated critically ill patients on mechanical ventilation by spectral clustering. Description: Liu, Shengjun, et al. Recognizing blood pressure patterns in sedated critically ill patients on mechanical ventilation by spectral clustering. ''Ann Transl Med''. 2021 Sep; '''9''' (18):1404
Structural and energetic profiling of SARS-CoV-2 receptor binding domain antibody recognition and the impact of circulating variants. Description: Yin, Rui, et al. Structural and energetic profiling of SARS-CoV-2 receptor binding domain antibody recognition and the impact of circulating variants. ''PLoS Comput Biol''. 2021 Sep; '''17''' (9):e1009380
Team Flow Is a Unique Brain State Associated with Enhanced Information Integration and Interbrain Synchrony. Description: Shehata, Mohammad, et al. Team Flow Is a Unique Brain State Associated with Enhanced Information Integration and Interbrain Synchrony. ''eNeuro''. 2021 Sep-Oct; '''8''' (5):
The Designing, Testing, and Utility of a 3D-Printed Respirator: A Hospital's Journey Into Self-Sustainability During COVID-19. Description: Lal Vallath, Aditya, et al. The Designing, Testing, and Utility of a 3D-Printed Respirator: A Hospital's Journey Into Self-Sustainability During COVID-19. ''Cureus''. 2021 Sep; '''13''' (9):e18113
When the ventral visual stream is not enough: A deep learning account of medial temporal lobe involvement in perception. Description: Bonnen, Tyler, et al. When the ventral visual stream is not enough: A deep learning account of medial temporal lobe involvement in perception. ''Neuron''. 2021 Sep 1; '''109''' (17):2755-2766.e6
Interpretable prioritization of splice variants in diagnostic next-generation sequencing. Description: Danis, Daniel, et al. Interpretable prioritization of splice variants in diagnostic next-generation sequencing. ''Am J Hum Genet''. 2021 Sep 2; '''108''' (9):1564-1577
Predicting Emotional Valence of People Living with the Human Immunodeficiency Virus Using Daily Voice Clips: A Preliminary Study. Description: Lin, Ray F, et al. Predicting Emotional Valence of People Living with the Human Immunodeficiency Virus Using Daily Voice Clips: A Preliminary Study. ''Healthcare (Basel)''. 2021 Sep 2; '''9''' (9):
Restoration of Remote PPG Signal through Correspondence with Contact Sensor Signal. Description: Kim, So-Eui, et al. Restoration of Remote PPG Signal through Correspondence with Contact Sensor Signal. ''Sensors (Basel)''. 2021 Sep 2; '''21''' (17):
Revealing the Mutation Patterns of Drug-Resistant Reverse Transcriptase Variants of Human Immunodeficiency Virus through Proteochemometric Modeling. Description: Qiu, Jingxuan, et al. Revealing the Mutation Patterns of Drug-Resistant Reverse Transcriptase Variants of Human Immunodeficiency Virus through Proteochemometric Modeling. ''Biomolecules''. 2021 Sep 2; '''11''' (9):
Whole-body integration of gene expression and single-cell morphology. Description: Vergara, Hernando M, et al. Whole-body integration of gene expression and single-cell morphology. ''Cell''. 2021 Sep 2; '''184''' (18):4819-4837.e22
DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embedding. Description: Yue, Yang, et al. DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embedding. ''BMC Bioinformatics''. 2021 Sep 3; '''22''' (1):418
Peptipedia: a user-friendly web application and a comprehensive database for peptide research supported by Machine Learning approach. Description: Quiroz, Cristofer, et al. Peptipedia: a user-friendly web application and a comprehensive database for peptide research supported by Machine Learning approach. ''Database (Oxford)''. 2021 Sep 3; '''2021''':
Quasar: Easy Machine Learning for Biospectroscopy. Description: Toplak, Marko, et al. Quasar: Easy Machine Learning for Biospectroscopy. ''Cells''. 2021 Sep 3; '''10''' (9):
Schizophrenia Detection Using Machine Learning Approach from Social Media Content. Description: Bae, Yi Ji, et al. Schizophrenia Detection Using Machine Learning Approach from Social Media Content. ''Sensors (Basel)''. 2021 Sep 3; '''21''' (17):
Velo-Predictor: an ensemble learning pipeline for RNA velocity prediction. Description: Wang, Xin, et al. Velo-Predictor: an ensemble learning pipeline for RNA velocity prediction. ''BMC Bioinformatics''. 2021 Sep 3; '''22''' (Suppl 10):419
Increased Sensitivity of Detection of RASSF1A and GSTP1 DNA Fragments in Serum of Prostate Cancer Patients: Optimisation of Diagnostics Using OBBPA-ddPCR. Description: Friedemann, Markus, et al. Increased Sensitivity of Detection of RASSF1A and GSTP1 DNA Fragments in Serum of Prostate Cancer Patients: Optimisation of Diagnostics Using OBBPA-ddPCR. ''Cancers (Basel)''. 2021 Sep 4; '''13''' (17):
An inferred functional impact map of genetic variants in rice. Description: Zhao, Hu, et al. An inferred functional impact map of genetic variants in rice. ''Mol Plant''. 2021 Sep 6; '''14''' (9):1584-1599
An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum. Description: Bang, Minji, et al. An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum. ''Transl Psychiatry''. 2021 Sep 6; '''11''' (1):462
Information content differentiates enhancers from silencers in mouse photoreceptors. Description: Friedman, Ryan Z, et al. Information content differentiates enhancers from silencers in mouse photoreceptors. ''Elife''. 2021 Sep 6; '''10''':
Integrating pheromonal and spatial information in the amygdalo-hippocampal network. Description: Villafranca-Faus, Maria, et al. Integrating pheromonal and spatial information in the amygdalo-hippocampal network. ''Nat Commun''. 2021 Sep 6; '''12''' (1):5286
Multistep nucleation of anisotropic molecules. Description: Takahashi, Kazuaki Z, et al. Multistep nucleation of anisotropic molecules. ''Nat Commun''. 2021 Sep 6; '''12''' (1):5278
Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer's disease. Description: Dansson, Hakon Valur, et al. Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer's disease. ''Alzheimers Res Ther''. 2021 Sep 6; '''13''' (1):151
Machine learning-based CT radiomics model distinguishes COVID-19 from non-COVID-19 pneumonia. Description: Chen, Hui Juan, et al. Machine learning-based CT radiomics model distinguishes COVID-19 from non-COVID-19 pneumonia. ''BMC Infect Dis''. 2021 Sep 8; '''21''' (1):931
A Radiomics Approach to Predict the Emergence of New Hepatocellular Carcinoma in Computed Tomography for High-Risk Patients with Liver Cirrhosis. Description: Tietz, Eric, et al. A Radiomics Approach to Predict the Emergence of New Hepatocellular Carcinoma in Computed Tomography for High-Risk Patients with Liver Cirrhosis. ''Diagnostics (Basel)''. 2021 Sep 9; '''11''' (9):
Authentication of Geographical Origin in Hainan Partridge Tea (Mallotus obongifolius) by Stable Isotope and Targeted Metabolomics Combined with Chemometrics. Description: Fu, Jiashun, et al. Authentication of Geographical Origin in Hainan Partridge Tea (Mallotus obongifolius) by Stable Isotope and Targeted Metabolomics Combined with Chemometrics. ''Foods''. 2021 Sep 9; '''10''' (9):
Automatic detection of depression symptoms in twitter using multimodal analysis. Description: Safa, Ramin, et al. Automatic detection of depression symptoms in twitter using multimodal analysis. ''J Supercomput''. 2021 Sep 9; 1-36
CloneSig can jointly infer intra-tumor heterogeneity and mutational signature activity in bulk tumor sequencing data. Description: Abecassis, Judith, et al. CloneSig can jointly infer intra-tumor heterogeneity and mutational signature activity in bulk tumor sequencing data. ''Nat Commun''. 2021 Sep 9; '''12''' (1):5352
Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction. Description: Ma, Wenjing, et al. Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction. ''Genome Biol''. 2021 Sep 9; '''22''' (1):264
Identification of potential therapeutic targets and mechanisms of COVID-19 through network analysis and screening of chemicals and herbal ingredients. Description: Wang, Hong, et al. Identification of potential therapeutic targets and mechanisms of COVID-19 through network analysis and screening of chemicals and herbal ingredients. ''Brief Bioinform''. 2021 Sep 9;
Identifying Lung Cancer Cell Markers with Machine Learning Methods and Single-Cell RNA-Seq Data. Description: Huang, Guo-Hua, et al. Identifying Lung Cancer Cell Markers with Machine Learning Methods and Single-Cell RNA-Seq Data. ''Life (Basel)''. 2021 Sep 9; '''11''' (9):
Scalable Graphene Defect Prediction Using Transferable Learning. Description: Zheng, Bowen, et al. Scalable Graphene Defect Prediction Using Transferable Learning. ''Nanomaterials (Basel)''. 2021 Sep 9; '''11''' (9):
Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence: A machine learning and free energy handshake. Description: Gupta, Abhijit, et al. Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence: A machine learning and free energy handshake. ''Patterns (N Y)''. 2021 Sep 10; '''2''' (9):100329
Capture the high-efficiency non-fullerene ternary organic solar cells formula by machine-learning-assisted energy-level alignment optimization. Description: Hao, Tianyu, et al. Capture the high-efficiency non-fullerene ternary organic solar cells formula by machine-learning-assisted energy-level alignment optimization. ''Patterns (N Y)''. 2021 Sep 10; '''2''' (9):100333
Data Empowerment of Decision-Makers in an Era of a Pandemic: Intersection of "Classic" and Artificial Intelligence in the Service of Medicine. Description: Geva, Gil A, et al. Data Empowerment of Decision-Makers in an Era of a Pandemic: Intersection of "Classic" and Artificial Intelligence in the Service of Medicine. ''J Med Internet Res''. 2021 Sep 10; '''23''' (9):e24295
Loop-mediated isothermal amplification (LAMP) and machine learning application for early pregnancy detection using bovine vaginal mucosal membrane. Description: Kunii, Hiroki, et al. Loop-mediated isothermal amplification (LAMP) and machine learning application for early pregnancy detection using bovine vaginal mucosal membrane. ''Biochem Biophys Res Commun''. 2021 Sep 10; '''569''': 179-186
Machine learning predicts 3D printing performance of over 900 drug delivery systems. Description: Muniz Castro, Brais, et al. Machine learning predicts 3D printing performance of over 900 drug delivery systems. ''J Control Release''. 2021 Sep 10; '''337''': 530-545
Training and Validating a Machine Learning Model for the Sensor-Based Monitoring of Lying Behavior in Dairy Cows on Pasture and in the Barn. Description: Schmeling, Lara, et al. Training and Validating a Machine Learning Model for the Sensor-Based Monitoring of Lying Behavior in Dairy Cows on Pasture and in the Barn. ''Animals (Basel)''. 2021 Sep 10; '''11''' (9):
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers. Description: Nakamura, Yuta, et al. Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers. ''BMC Med Inform Decis Mak''. 2021 Sep 11; '''21''' (1):262
Scalable analysis of multi-modal biomedical data. Description: Smith, Jaclyn, et al. Scalable analysis of multi-modal biomedical data. ''Gigascience''. 2021 Sep 11; '''10''' (9):
Brain profiling in murine colitis and human epilepsy reveals neutrophils and TNFalpha as mediators of neuronal hyperexcitability. Description: Barnes, Sarah E, et al. Brain profiling in murine colitis and human epilepsy reveals neutrophils and TNFalpha as mediators of neuronal hyperexcitability. ''J Neuroinflammation''. 2021 Sep 12; '''18''' (1):199
Computational Study of Potential Galectin-3 Inhibitors in the Treatment of COVID-19. Description: Aminpour, Maral, et al. Computational Study of Potential Galectin-3 Inhibitors in the Treatment of COVID-19. ''Biomedicines''. 2021 Sep 13; '''9''' (9):
Artificial Intelligence Aided Design of Tissue Engineering Scaffolds Employing Virtual Tomography and 3D Convolutional Neural Networks. Description: Bermejillo Barrera, Maria Dolores, et al. Artificial Intelligence Aided Design of Tissue Engineering Scaffolds Employing Virtual Tomography and 3D Convolutional Neural Networks. ''Materials (Basel)''. 2021 Sep 14; '''14''' (18):
Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering. Description: Booth, Frederick G, et al. Discovering and comparing types of general practitioner practices using geolocational features and prescribing behaviours by means of K-means clustering. ''Sci Rep''. 2021 Sep 14; '''11''' (1):18289
Exploring EZH2-Proteasome Dual-Targeting Drug Discovery through a Computational Strategy to Fight Multiple Myeloma. Description: Estrada, Filipe G A, et al. Exploring EZH2-Proteasome Dual-Targeting Drug Discovery through a Computational Strategy to Fight Multiple Myeloma. ''Molecules''. 2021 Sep 14; '''26''' (18):
Identifying the lungs as a susceptible site for allele-specific regulatory changes associated with type 1 diabetes risk. Description: Ho, Daniel, et al. Identifying the lungs as a susceptible site for allele-specific regulatory changes associated with type 1 diabetes risk. ''Commun Biol''. 2021 Sep 14; '''4''' (1):1072
Native or Non-Native Protein-Protein Docking Models? Molecular Dynamics to the Rescue. Description: Jandova, Zuzana, et al. Native or Non-Native Protein-Protein Docking Models? Molecular Dynamics to the Rescue. ''J Chem Theory Comput''. 2021 Sep 14; '''17''' (9):5944-5954
Perturbation of ACE2 Structural Ensembles by SARS-CoV-2 Spike Protein Binding. Description: Uyar, Arzu, et al. Perturbation of ACE2 Structural Ensembles by SARS-CoV-2 Spike Protein Binding. ''J Chem Theory Comput''. 2021 Sep 14; '''17''' (9):5896-5906
Biomolecular simulation based machine learning models accurately predict sites of tolerability to the unnatural amino acid acridonylalanine. Description: Giannakoulias, Sam, et al. Biomolecular simulation based machine learning models accurately predict sites of tolerability to the unnatural amino acid acridonylalanine. ''Sci Rep''. 2021 Sep 15; '''11''' (1):18406
Dynamic and reversible remapping of network representations in an unchanging environment. Description: Low, Isabel I C, et al. Dynamic and reversible remapping of network representations in an unchanging environment. ''Neuron''. 2021 Sep 15; '''109''' (18):2967-2980.e11
Finding functional associations between prokaryotic virus orthologous groups: a proof of concept. Description: Pappas, Nikolaos, et al. Finding functional associations between prokaryotic virus orthologous groups: a proof of concept. ''BMC Bioinformatics''. 2021 Sep 15; '''22''' (1):438
Mapping the evolving landscape of super-enhancers during cell differentiation. Description: Kai, Yan, et al. Mapping the evolving landscape of super-enhancers during cell differentiation. ''Genome Biol''. 2021 Sep 15; '''22''' (1):269
MOrgAna: accessible quantitative analysis of organoids with machine learning. Description: Gritti, Nicola, et al. MOrgAna: accessible quantitative analysis of organoids with machine learning. ''Development''. 2021 Sep 15; '''148''' (18):
Predicting the gender of individuals with tinnitus based on daily life data of the TrackYourTinnitus mHealth platform. Description: Allgaier, Johannes, et al. Predicting the gender of individuals with tinnitus based on daily life data of the TrackYourTinnitus mHealth platform. ''Sci Rep''. 2021 Sep 15; '''11''' (1):18375
Early outcome detection for COVID-19 patients. Description: Sirbu, Alina, et al. Early outcome detection for COVID-19 patients. ''Sci Rep''. 2021 Sep 16; '''11''' (1):18464
Structure-based design and classifications of small molecules regulating the circadian rhythm period. Description: Gul, Seref, et al. Structure-based design and classifications of small molecules regulating the circadian rhythm period. ''Sci Rep''. 2021 Sep 16; '''11''' (1):18510
Application of Empirical Mode Decomposition for Decoding Perception of Faces Using Magnetoencephalography. Description: Hsu, Chun-Hsien, et al. Application of Empirical Mode Decomposition for Decoding Perception of Faces Using Magnetoencephalography. ''Sensors (Basel)''. 2021 Sep 17; '''21''' (18):
Identifying New Potential Biomarkers in Adrenocortical Tumors Based on mRNA Expression Data Using Machine Learning. Description: Marquardt, Andre, et al. Identifying New Potential Biomarkers in Adrenocortical Tumors Based on mRNA Expression Data Using Machine Learning. ''Cancers (Basel)''. 2021 Sep 17; '''13''' (18):
Moderate to severe OSA screening based on support vector machine of the Chinese population faciocervical measurements dataset: a cross-sectional study. Description: Zhang, Liu, et al. Moderate to severe OSA screening based on support vector machine of the Chinese population faciocervical measurements dataset: a cross-sectional study. ''BMJ Open''. 2021 Sep 17; '''11''' (9):e048482
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets. Description: Griffith, Daniel, et al. PARROT is a flexible recurrent neural network framework for analysis of large protein datasets. ''Elife''. 2021 Sep 17; '''10''':
Quantification of Age-Related Decline in Transcriptional Homeostasis. Description: Gupta, Krishan, et al. Quantification of Age-Related Decline in Transcriptional Homeostasis. ''J Mol Biol''. 2021 Sep 17; '''433''' (19):167179
Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants. Description: Rodrigues, Nuno M, et al. Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants. ''Biology (Basel)''. 2021 Sep 18; '''10''' (9):
DELEAT: gene essentiality prediction and deletion design for bacterial genome reduction. Description: Solana, Jimena, et al. DELEAT: gene essentiality prediction and deletion design for bacterial genome reduction. ''BMC Bioinformatics''. 2021 Sep 18; '''22''' (1):444
Development of a yoga posture coaching system using an interactive display based on transfer learning. Description: Long, Chhaihuoy, et al. Development of a yoga posture coaching system using an interactive display based on transfer learning. ''J Supercomput''. 2021 Sep 20; 1-16
Non-invasive diagnostic tool for Parkinson's disease by sebum RNA profile with machine learning. Description: Uehara, Yuya, et al. Non-invasive diagnostic tool for Parkinson's disease by sebum RNA profile with machine learning. ''Sci Rep''. 2021 Sep 20; '''11''' (1):18550
Virtual Monoenergetic Images of Dual-Energy CT-Impact on Repeatability, Reproducibility, and Classification in Radiomics. Description: Euler, Andre, et al. Virtual Monoenergetic Images of Dual-Energy CT-Impact on Repeatability, Reproducibility, and Classification in Radiomics. ''Cancers (Basel)''. 2021 Sep 20; '''13''' (18):
Analyzing Type 2 Diabetes Associations with the Gut Microbiome in Individuals from Two Ethnic Backgrounds Living in the Same Geographic Area. Description: Balvers, Manon, et al. Analyzing Type 2 Diabetes Associations with the Gut Microbiome in Individuals from Two Ethnic Backgrounds Living in the Same Geographic Area. ''Nutrients''. 2021 Sep 21; '''13''' (9):
Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews. Description: A Rahim, Afiq Izzudin, et al. Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews. ''Int J Environ Res Public Health''. 2021 Sep 21; '''18''' (18):
Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI). Description: Dindorf, Carlo, et al. Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI). ''Sensors (Basel)''. 2021 Sep 21; '''21''' (18):
Homologous organization of cerebellar pathways to sensory, motor, and associative forebrain. Description: Pisano, Thomas J, et al. Homologous organization of cerebellar pathways to sensory, motor, and associative forebrain. ''Cell Rep''. 2021 Sep 21; '''36''' (12):109721
Infant gut strain persistence is associated with maternal origin, phylogeny, and traits including surface adhesion and iron acquisition. Description: Lou, Yue Clare, et al. Infant gut strain persistence is associated with maternal origin, phylogeny, and traits including surface adhesion and iron acquisition. ''Cell Rep Med''. 2021 Sep 21; '''2''' (9):100393
Prediction of coating thickness for polyelectrolyte multilayers via machine learning. Description: Gribova, Varvara, et al. Prediction of coating thickness for polyelectrolyte multilayers via machine learning. ''Sci Rep''. 2021 Sep 21; '''11''' (1):18702
Psychological factors shaping public responses to COVID-19 digital contact tracing technologies in Germany. Description: Kozyreva, Anastasia, et al. Psychological factors shaping public responses to COVID-19 digital contact tracing technologies in Germany. ''Sci Rep''. 2021 Sep 21; '''11''' (1):18716
Transfer Learning in Wastewater Treatment Plant Control Design: From Conventional to Long Short-Term Memory-Based Controllers. Description: Pisa, Ivan, et al. Transfer Learning in Wastewater Treatment Plant Control Design: From Conventional to Long Short-Term Memory-Based Controllers. ''Sensors (Basel)''. 2021 Sep 21; '''21''' (18):
DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning. Description: Thafar, Maha A, et al. DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning. ''J Cheminform''. 2021 Sep 22; '''13''' (1):71
Isolating Specific vs. Non-Specific Binding Responses in Conducting Polymer Biosensors for Bio-Fingerprinting. Description: Smith, Phil M, et al. Isolating Specific vs. Non-Specific Binding Responses in Conducting Polymer Biosensors for Bio-Fingerprinting. ''Sensors (Basel)''. 2021 Sep 22; '''21''' (19):
Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion. Description: Carrillo-Perez, Francisco, et al. Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion. ''BMC Bioinformatics''. 2021 Sep 22; '''22''' (1):454
Predicting chemotherapy response using a variational autoencoder approach. Description: Wei, Qi, et al. Predicting chemotherapy response using a variational autoencoder approach. ''BMC Bioinformatics''. 2021 Sep 22; '''22''' (1):453
Single-cell profiling defines the prognostic benefit of CD39(high) tissue resident memory CD8+ T cells in luminal-like breast cancer. Description: Losurdo, Agnese, et al. Single-cell profiling defines the prognostic benefit of CD39(high) tissue resident memory CD8+ T cells in luminal-like breast cancer. ''Commun Biol''. 2021 Sep 22; '''4''' (1):1117
Computational identification of multiple lysine PTM sites by analyzing the instance hardness and feature importance. Description: Ahmed, Sabit, et al. Computational identification of multiple lysine PTM sites by analyzing the instance hardness and feature importance. ''Sci Rep''. 2021 Sep 23; '''11''' (1):18882
Generation of a more efficient prime editor 2 by addition of the Rad51 DNA-binding domain. Description: Song, Myungjae, et al. Generation of a more efficient prime editor 2 by addition of the Rad51 DNA-binding domain. ''Nat Commun''. 2021 Sep 23; '''12''' (1):5617
Predicting medication adherence using ensemble learning and deep learning models with large scale healthcare data. Description: Gu, Yingqi, et al. Predicting medication adherence using ensemble learning and deep learning models with large scale healthcare data. ''Sci Rep''. 2021 Sep 23; '''11''' (1):18961
Prediction of blood supply in vestibular schwannomas using radiomics machine learning classifiers. Description: Song, Dixiang, et al. Prediction of blood supply in vestibular schwannomas using radiomics machine learning classifiers. ''Sci Rep''. 2021 Sep 23; '''11''' (1):18872
Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams. Description: Shen, Yiqiu, et al. Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams. ''Nat Commun''. 2021 Sep 24; '''12''' (1):5645
Comparing Public Sentiment Toward COVID-19 Vaccines Across Canadian Cities: Analysis of Comments on Reddit. Description: Yan, Cathy, et al. Comparing Public Sentiment Toward COVID-19 Vaccines Across Canadian Cities: Analysis of Comments on Reddit. ''J Med Internet Res''. 2021 Sep 24; '''23''' (9):e32685
Distinct lipid metabolic dysregulation in asymptomatic COVID-19. Description: Hao, Yanhong, et al. Distinct lipid metabolic dysregulation in asymptomatic COVID-19. ''iScience''. 2021 Sep 24; '''24''' (9):102974
Machine learning-assisted single-cell Raman fingerprinting for in situ and nondestructive classification of prokaryotes. Description: Kanno, Nanako, et al. Machine learning-assisted single-cell Raman fingerprinting for in situ and nondestructive classification of prokaryotes. ''iScience''. 2021 Sep 24; '''24''' (9):102975
Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts. Description: Mai, Haoxin, et al. Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts. ''iScience''. 2021 Sep 24; '''24''' (9):103068
Development and validation of a novel predictive model and web calculator for evaluating transfusion risk after spinal fusion for spinal tuberculosis: a retrospective cohort study. Description: Dong, Shengtao, et al. Development and validation of a novel predictive model and web calculator for evaluating transfusion risk after spinal fusion for spinal tuberculosis: a retrospective cohort study. ''BMC Musculoskelet Disord''. 2021 Sep 25; '''22''' (1):825
Efficient Self-Supervised Metric Information Retrieval: A Bibliography Based Method Applied to COVID Literature. Description: Moro, Gianluca, et al. Efficient Self-Supervised Metric Information Retrieval: A Bibliography Based Method Applied to COVID Literature. ''Sensors (Basel)''. 2021 Sep 26; '''21''' (19):
IoT Intrusion Detection Taxonomy, Reference Architecture, and Analyses. Description: Albulayhi, Khalid, et al. IoT Intrusion Detection Taxonomy, Reference Architecture, and Analyses. ''Sensors (Basel)''. 2021 Sep 26; '''21''' (19):
Biologically relevant transfer learning improves transcription factor binding prediction. Description: Novakovsky, Gherman, et al. Biologically relevant transfer learning improves transcription factor binding prediction. ''Genome Biol''. 2021 Sep 27; '''22''' (1):280
High-Level Carbapenem Resistance among OXA-48-Producing Klebsiellapneumoniae with Functional OmpK36 Alterations: Maintenance of Ceftazidime/Avibactam Susceptibility. Description: Lumbreras-Iglesias, Pilar, et al. High-Level Carbapenem Resistance among OXA-48-Producing Klebsiellapneumoniae with Functional OmpK36 Alterations: Maintenance of Ceftazidime/Avibactam Susceptibility. ''Antibiotics (Basel)''. 2021 Sep 27; '''10''' (10):
How can SHAP values help to shape metabolic stability of chemical compounds? Description: Wojtuch, Agnieszka, et al. How can SHAP values help to shape metabolic stability of chemical compounds? ''J Cheminform''. 2021 Sep 27; '''13''' (1):74
Materials Precursor Score: Modeling Chemists' Intuition for the Synthetic Accessibility of Porous Organic Cage Precursors. Description: Bennett, Steven, et al. Materials Precursor Score: Modeling Chemists' Intuition for the Synthetic Accessibility of Porous Organic Cage Precursors. ''J Chem Inf Model''. 2021 Sep 27; '''61''' (9):4342-4356
Molecular Evolutionary Dynamics of Energy Limited Microorganisms. Description: Shoemaker, William R, et al. Molecular Evolutionary Dynamics of Energy Limited Microorganisms. ''Mol Biol Evol''. 2021 Sep 27; '''38''' (10):4532-4545
RNA Solutions: Synthesizing Information to Support Transcriptomics (RNASSIST). Description: Chen, Yi-Pei, et al. RNA Solutions: Synthesizing Information to Support Transcriptomics (RNASSIST). ''Bioinformatics''. 2021 Sep 27;
Sodium Content of Foods Sold in the Spanish Market. Results from the BADALI Project. Description: Beltra, Marta, et al. Sodium Content of Foods Sold in the Spanish Market. Results from the BADALI Project. ''Nutrients''. 2021 Sep 27; '''13''' (10):
The Accuracy of a Screening System for Carpal Tunnel Syndrome Using Hand Drawing. Description: Watanabe, Takuro, et al. The Accuracy of a Screening System for Carpal Tunnel Syndrome Using Hand Drawing. ''J Clin Med''. 2021 Sep 27; '''10''' (19):
Anipose: A toolkit for robust markerless 3D pose estimation. Description: Karashchuk, Pierre, et al. Anipose: A toolkit for robust markerless 3D pose estimation. ''Cell Rep''. 2021 Sep 28; '''36''' (13):109730
Chemometric approach to characterization of the selected grape seed oils based on their fatty acids composition and FTIR spectroscopy. Description: Vladimir, Masan, et al. Chemometric approach to characterization of the selected grape seed oils based on their fatty acids composition and FTIR spectroscopy. ''Sci Rep''. 2021 Sep 28; '''11''' (1):19256
Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer. Description: Chelebian, Eduard, et al. Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer. ''Cancers (Basel)''. 2021 Sep 28; '''13''' (19):
Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques. Description: Baalman, Sarah W E, et al. Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques. ''Diagnostics (Basel)''. 2021 Sep 28; '''11''' (10):
Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification. Description: Liu, Yongkai, et al. Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification. ''Diagnostics (Basel)''. 2021 Sep 28; '''11''' (10):
A harmonized atlas of mouse spinal cord cell types and their spatial organization. Description: Russ, Daniel E, et al. A harmonized atlas of mouse spinal cord cell types and their spatial organization. ''Nat Commun''. 2021 Sep 29; '''12''' (1):5722
Classifying domain-specific text documents containing ambiguous keywords. Description: Karimi, Kamran, et al. Classifying domain-specific text documents containing ambiguous keywords. ''Database (Oxford)''. 2021 Sep 29; '''2021''':
Effectiveness of an Internet-Based Machine-Guided Stress Management Program Based on Cognitive Behavioral Therapy for Improving Depression Among Workers: Protocol for a Randomized Controlled Trial. Description: Kawakami, Norito, et al. Effectiveness of an Internet-Based Machine-Guided Stress Management Program Based on Cognitive Behavioral Therapy for Improving Depression Among Workers: Protocol for a Randomized Controlled Trial. ''JMIR Res Protoc''. 2021 Sep 29; '''10''' (9):e30305
Hyperparameter Tuning and Pipeline Optimization via Grid Search Method and Tree-Based AutoML in Breast Cancer Prediction. Description: Radzi, Siti Fairuz Mat, et al. Hyperparameter Tuning and Pipeline Optimization via Grid Search Method and Tree-Based AutoML in Breast Cancer Prediction. ''J Pers Med''. 2021 Sep 29; '''11''' (10):
Screening of Parkinson's Disease Using Geometric Features Extracted from Spiral Drawings. Description: Chandra, Jay, et al. Screening of Parkinson's Disease Using Geometric Features Extracted from Spiral Drawings. ''Brain Sci''. 2021 Sep 29; '''11''' (10):
Visual analytics tool for the interpretation of hidden states in recurrent neural networks. Description: Garcia, Rafael, et al. Visual analytics tool for the interpretation of hidden states in recurrent neural networks. ''Vis Comput Ind Biomed Art''. 2021 Sep 29; '''4''' (1):24
Assessing Communicative Effectiveness of Public Health Information in Chinese: Developing Automatic Decision Aids for International Health Professionals. Description: Ji, Meng, et al. Assessing Communicative Effectiveness of Public Health Information in Chinese: Developing Automatic Decision Aids for International Health Professionals. ''Int J Environ Res Public Health''. 2021 Sep 30; '''18''' (19):
Automatic Recognition of Colon and Esophagogastric Cancer with Machine Learning and Hyperspectral Imaging. Description: Collins, Toby, et al. Automatic Recognition of Colon and Esophagogastric Cancer with Machine Learning and Hyperspectral Imaging. ''Diagnostics (Basel)''. 2021 Sep 30; '''11''' (10):
Rheumatic Heart Disease Screening Based on Phonocardiogram. Description: Asmare, Melkamu Hunegnaw, et al. Rheumatic Heart Disease Screening Based on Phonocardiogram. ''Sensors (Basel)''. 2021 Sep 30; '''21''' (19):
Short-Term Event Prediction in the Operating Room (STEP-OP) of Five-Minute Intraoperative Hypotension Using Hybrid Deep Learning: Retrospective Observational Study and Model Development. Description: Choe, Sooho, et al. Short-Term Event Prediction in the Operating Room (STEP-OP) of Five-Minute Intraoperative Hypotension Using Hybrid Deep Learning: Retrospective Observational Study and Model Development. ''JMIR Med Inform''. 2021 Sep 30; '''9''' (9):e31311
Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine. Description: Kang, Dae Y, et al. Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine. ''NPJ Digit Med''. 2021 Sep 30; '''4''' (1):142
A data-driven binary-classification framework for oil fingerprinting analysis. Description: Chen, Yifu, et al. A data-driven binary-classification framework for oil fingerprinting analysis. ''Environ Res''. 2021 Oct; '''201''': 111454
An AI-based auxiliary empirical antibiotic therapy model for children with bacterial pneumonia using low-dose chest CT images. Description: Zhang, Mudan, et al. An AI-based auxiliary empirical antibiotic therapy model for children with bacterial pneumonia using low-dose chest CT images. ''Jpn J Radiol''. 2021 Oct; '''39''' (10):973-983
Analysis of 11,430 recombinant protein production experiments reveals that protein yield is tunable by synonymous codon changes of translation initiation sites. Description: Bhandari, Bikash K, et al. Analysis of 11,430 recombinant protein production experiments reveals that protein yield is tunable by synonymous codon changes of translation initiation sites. ''PLoS Comput Biol''. 2021 Oct; '''17''' (10):e1009461
Anatomy of phonemic and semantic fluency: A lesion and disconnectome study in 1231 stroke patients. Description: Biesbroek, J Matthijs, et al. Anatomy of phonemic and semantic fluency: A lesion and disconnectome study in 1231 stroke patients. ''Cortex''. 2021 Oct; '''143''': 148-163
A scalable, secure, and interoperable platform for deep data-driven health management. Description: Bahmani, Amir, et al. A scalable, secure, and interoperable platform for deep data-driven health management. ''Nat Commun''. 2021 Oct 1; '''12''' (1):5757
Brain Knows Who Is on the Same Wavelength: Resting-State Connectivity Can Predict Compatibility of a Female-Male Relationship. Description: Kajimura, Shogo, et al. Brain Knows Who Is on the Same Wavelength: Resting-State Connectivity Can Predict Compatibility of a Female-Male Relationship. ''Cereb Cortex''. 2021 Oct 1; '''31''' (11):5077-5089
Budget constrained machine learning for early prediction of adverse outcomes for COVID-19 patients. Description: Nguyen, Sam, et al. Budget constrained machine learning for early prediction of adverse outcomes for COVID-19 patients. ''Sci Rep''. 2021 Oct 1; '''11''' (1):19543
Clustering of countries for COVID-19 cases based on disease prevalence, health systems and environmental indicators. Description: Rizvi, Syeda Amna, et al. Clustering of countries for COVID-19 cases based on disease prevalence, health systems and environmental indicators. ''Chaos Solitons Fractals''. 2021 Oct; '''151''': 111240
Comparative cellular analysis of motor cortex in human, marmoset and mouse. Description: Bakken, Trygve E, et al. Comparative cellular analysis of motor cortex in human, marmoset and mouse. ''Nature''. 2021 Oct; '''598''' (7879):111-119
Comprehensive analysis of lectin-glycan interactions reveals determinants of lectin specificity. Description: Mattox, Daniel E, et al. Comprehensive analysis of lectin-glycan interactions reveals determinants of lectin specificity. ''PLoS Comput Biol''. 2021 Oct; '''17''' (10):e1009470
Computer-aided prediction of inhibitors against STAT3 for managing COVID-19 associated cytokine storm. Description: Dhall, Anjali, et al. Computer-aided prediction of inhibitors against STAT3 for managing COVID-19 associated cytokine storm. ''Comput Biol Med''. 2021 Oct; '''137''': 104780
Convolutional neural networks to identify malformations of cortical development: A feasibility study. Description: Sanchez Fernandez, Ivan, et al. Convolutional neural networks to identify malformations of cortical development: A feasibility study. ''Seizure''. 2021 Oct; '''91''': 81-90
Dataset for modeling Beck's cognitive triad to understand depression. Description: Jere, Shreekant, et al. Dataset for modeling Beck's cognitive triad to understand depression. ''Data Brief''. 2021 Oct; '''38''': 107431
Deep learning allows genome-scale prediction of Michaelis constants from structural features. Description: Kroll, Alexander, et al. Deep learning allows genome-scale prediction of Michaelis constants from structural features. ''PLoS Biol''. 2021 Oct; '''19''' (10):e3001402
DNA methylation atlas of the mouse brain at single-cell resolution. Description: Liu, Hanqing, et al. DNA methylation atlas of the mouse brain at single-cell resolution. ''Nature''. 2021 Oct; '''598''' (7879):120-128
Dynamics and variability in the pleiotropic effects of adaptation in laboratory budding yeast populations. Description: Bakerlee, Christopher W, et al. Dynamics and variability in the pleiotropic effects of adaptation in laboratory budding yeast populations. ''Elife''. 2021 Oct 1; '''10''':
Effective gene expression prediction from sequence by integrating long-range interactions. Description: Avsec, Ziga, et al. Effective gene expression prediction from sequence by integrating long-range interactions. ''Nat Methods''. 2021 Oct; '''18''' (10):1196-1203
Enhancing breakpoint resolution with deep segmentation model: A general refinement method for read-depth based structural variant callers. Description: Zhang, Yao-Zhong, et al. Enhancing breakpoint resolution with deep segmentation model: A general refinement method for read-depth based structural variant callers. ''PLoS Comput Biol''. 2021 Oct; '''17''' (10):e1009186
Feasibility of using an automated analysis of formulation effort in patients' spoken seizure descriptions in the differential diagnosis of epileptic and nonepileptic seizures. Description: Pevy, Nathan, et al. Feasibility of using an automated analysis of formulation effort in patients' spoken seizure descriptions in the differential diagnosis of epileptic and nonepileptic seizures. ''Seizure''. 2021 Oct; '''91''': 141-145
Functional effects of berberine in modulating mitochondrial dysfunction and inflammatory response in the respective amyloidogenic cells and activated microglial cells - In vitro models simulating Alzheimer's disease pathology. Description: Wong, Ling Rong, et al. Functional effects of berberine in modulating mitochondrial dysfunction and inflammatory response in the respective amyloidogenic cells and activated microglial cells - In vitro models simulating Alzheimer's disease pathology. ''Life Sci''. 2021 Oct 1; '''282''': 119824
Machine-learning algorithm that can improve the diagnostic accuracy of septic arthritis of the knee. Description: Choi, Eun-Seok, et al. Machine-learning algorithm that can improve the diagnostic accuracy of septic arthritis of the knee. ''Knee Surg Sports Traumatol Arthrosc''. 2021 Oct; '''29''' (10):3142-3148
Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients. Description: Sarraju, Ashish, et al. Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients. ''Open Heart''. 2021 Oct; '''8''' (2):
Machine Learning-Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study. Description: Doyle, Riccardo. Machine Learning-Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study. ''JMIRx Med''. 2021 Oct-Dec; '''2''' (4):e29392
Machine learning to predict the source of campylobacteriosis using whole genome data. Description: Arning, Nicolas, et al. Machine learning to predict the source of campylobacteriosis using whole genome data. ''PLoS Genet''. 2021 Oct; '''17''' (10):e1009436
Phenotypic variation of transcriptomic cell types in mouse motor cortex. Description: Scala, Federico, et al. Phenotypic variation of transcriptomic cell types in mouse motor cortex. ''Nature''. 2021 Oct; '''598''' (7879):144-150
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer. Description: Wang, Yinxi, et al. Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer. ''Cancer Res''. 2021 Oct 1; '''81''' (19):5115-5126
Prediction of chemotherapy response in breast cancer patients at pre-treatment using second derivative texture of CT images and machine learning. Description: Moghadas-Dastjerdi, Hadi, et al. Prediction of chemotherapy response in breast cancer patients at pre-treatment using second derivative texture of CT images and machine learning. ''Transl Oncol''. 2021 Oct; '''14''' (10):101183
Preoperative prediction of pathological grading of hepatocellular carcinoma using machine learning-based ultrasomics: A multicenter study. Description: Ren, Shanshan, et al. Preoperative prediction of pathological grading of hepatocellular carcinoma using machine learning-based ultrasomics: A multicenter study. ''Eur J Radiol''. 2021 Oct; '''143''': 109891
Sarc-Graph: Automated segmentation, tracking, and analysis of sarcomeres in hiPSC-derived cardiomyocytes. Description: Zhao, Bill, et al. Sarc-Graph: Automated segmentation, tracking, and analysis of sarcomeres in hiPSC-derived cardiomyocytes. ''PLoS Comput Biol''. 2021 Oct; '''17''' (10):e1009443
Uncovering Statistical Links Between Gene Expression and Structural Connectivity Patterns in the Mouse Brain. Description: Timonidis, Nestor, et al. Uncovering Statistical Links Between Gene Expression and Structural Connectivity Patterns in the Mouse Brain. ''Neuroinformatics''. 2021 Oct; '''19''' (4):649-667
Unsupervised learning predicts human perception and misperception of gloss. Description: Storrs, Katherine R, et al. Unsupervised learning predicts human perception and misperception of gloss. ''Nat Hum Behav''. 2021 Oct; '''5''' (10):1402-1417
Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study. Description: Yun, Donghwan, et al. Use of Deep Learning to Predict Acute Kidney Injury After Intravenous Contrast Media Administration: Prediction Model Development Study. ''JMIR Med Inform''. 2021 Oct 1; '''9''' (10):e27177
Exploring Dielectric Constant and Dissipation Factor of LTCC Using Machine Learning. Description: Liu, Yu-Chen, et al. Exploring Dielectric Constant and Dissipation Factor of LTCC Using Machine Learning. ''Materials (Basel)''. 2021 Oct 3; '''14''' (19):
COVID-19 Infection Alters the Microbiome: Elite Athletes and Sedentary Patients Have Similar Bacterial Flora. Description: Babszky, Gergely, et al. COVID-19 Infection Alters the Microbiome: Elite Athletes and Sedentary Patients Have Similar Bacterial Flora. ''Genes (Basel)''. 2021 Oct 4; '''12''' (10):
Identification, visualization, statistical analysis and mathematical modeling of high-feedback loops in gene regulatory networks. Description: Nordick, Benjamin, et al. Identification, visualization, statistical analysis and mathematical modeling of high-feedback loops in gene regulatory networks. ''BMC Bioinformatics''. 2021 Oct 4; '''22''' (1):481
Predicting Overall Survival Time in Glioblastoma Patients Using Gradient Boosting Machines Algorithm and Recursive Feature Elimination Technique. Description: Karami, Golestan, et al. Predicting Overall Survival Time in Glioblastoma Patients Using Gradient Boosting Machines Algorithm and Recursive Feature Elimination Technique. ''Cancers (Basel)''. 2021 Oct 4; '''13''' (19):
Topographic Variation of Retinal Vascular Density in Normal Eyes Using Optical Coherence Tomography Angiography. Description: Park, Michael M, et al. Topographic Variation of Retinal Vascular Density in Normal Eyes Using Optical Coherence Tomography Angiography. ''Transl Vis Sci Technol''. 2021 Oct 4; '''10''' (12):15
An automated and combinative method for the predictive ranking of candidate effector proteins of fungal plant pathogens. Description: Jones, Darcy A B, et al. An automated and combinative method for the predictive ranking of candidate effector proteins of fungal plant pathogens. ''Sci Rep''. 2021 Oct 5; '''11''' (1):19731
Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein after infection and/or vaccination. Description: Garrett, Meghan E, et al. Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein after infection and/or vaccination. ''bioRxiv''. 2021 Oct 5;
Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production. Description: Greenhalgh, Jonathan C, et al. Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production. ''Nat Commun''. 2021 Oct 5; '''12''' (1):5825
Predicting Fitness Centre Dropout. Description: Sobreiro, Pedro, et al. Predicting Fitness Centre Dropout. ''Int J Environ Res Public Health''. 2021 Oct 5; '''18''' (19):
MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain. Description: Sharma, Dhruv, et al. MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain. ''Sci Rep''. 2021 Oct 6; '''11''' (1):19826
Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning. Description: Ren, Yunxiao, et al. Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning. ''Bioinformatics''. 2021 Oct 6;
Prediction of oral squamous cell carcinoma based on machine learning of breath samples: a prospective controlled study. Description: Mentel, Sophia, et al. Prediction of oral squamous cell carcinoma based on machine learning of breath samples: a prospective controlled study. ''BMC Oral Health''. 2021 Oct 6; '''21''' (1):500
A Hierarchical Approach to Activity Recognition and Fall Detection Using Wavelets and Adaptive Pooling. Description: Syed, Abbas Shah, et al. A Hierarchical Approach to Activity Recognition and Fall Detection Using Wavelets and Adaptive Pooling. ''Sensors (Basel)''. 2021 Oct 7; '''21''' (19):
A proof of concept for machine learning-based virtual knapping using neural networks. Description: Orellana Figueroa, Jordy Didier, et al. A proof of concept for machine learning-based virtual knapping using neural networks. ''Sci Rep''. 2021 Oct 7; '''11''' (1):19966
Global properties of regulatory sequences are predicted by transcription factor recognition mechanisms. Description: Patel, Zain M, et al. Global properties of regulatory sequences are predicted by transcription factor recognition mechanisms. ''Genome Biol''. 2021 Oct 7; '''22''' (1):285
Horse Jumping and Dressage Training Activity Detection Using Accelerometer Data. Description: Eerdekens, Anniek, et al. Horse Jumping and Dressage Training Activity Detection Using Accelerometer Data. ''Animals (Basel)''. 2021 Oct 7; '''11''' (10):
A topology-preserving dimensionality reduction method for single-cell RNA-seq data using graph autoencoder. Description: Luo, Zixiang, et al. A topology-preserving dimensionality reduction method for single-cell RNA-seq data using graph autoencoder. ''Sci Rep''. 2021 Oct 8; '''11''' (1):20028
Automatic Prediction of Ischemia-Reperfusion Injury of Small Intestine Using Convolutional Neural Networks: A Pilot Study. Description: Hou, Jie, et al. Automatic Prediction of Ischemia-Reperfusion Injury of Small Intestine Using Convolutional Neural Networks: A Pilot Study. ''Sensors (Basel)''. 2021 Oct 8; '''21''' (19):
Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms. Description: Mallesh, Nanditha, et al. Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms. ''Patterns (N Y)''. 2021 Oct 8; '''2''' (10):100351
Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics. Description: Klepaczko, Artur, et al. Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics. ''Sensors (Basel)''. 2021 Oct 9; '''21''' (20):
Machine learning-based prediction model for responses of bDMARDs in patients with rheumatoid arthritis and ankylosing spondylitis. Description: Lee, Seulkee, et al. Machine learning-based prediction model for responses of bDMARDs in patients with rheumatoid arthritis and ankylosing spondylitis. ''Arthritis Res Ther''. 2021 Oct 9; '''23''' (1):254
Machine learning methods to predict the cultivation age of Panacis Quinquefolii Radix. Description: Hu, Xiaowen, et al. Machine learning methods to predict the cultivation age of Panacis Quinquefolii Radix. ''Chin Med''. 2021 Oct 9; '''16''' (1):100
Artificial image objects for classification of breast cancer biomarkers with transcriptome sequencing data and convolutional neural network algorithms. Description: Chen, Xiangning, et al. Artificial image objects for classification of breast cancer biomarkers with transcriptome sequencing data and convolutional neural network algorithms. ''Breast Cancer Res''. 2021 Oct 10; '''23''' (1):96
Serum lipids are associated with nonalcoholic fatty liver disease: a pilot case-control study in Mexico. Description: Flores, Yvonne N, et al. Serum lipids are associated with nonalcoholic fatty liver disease: a pilot case-control study in Mexico. ''Lipids Health Dis''. 2021 Oct 10; '''20''' (1):136
High alert drugs screening using gradient boosting classifier. Description: Wongyikul, Pakpoom, et al. High alert drugs screening using gradient boosting classifier. ''Sci Rep''. 2021 Oct 11; '''11''' (1):20132
Predicting bloodstream infection outcome using machine learning. Description: Zoabi, Yazeed, et al. Predicting bloodstream infection outcome using machine learning. ''Sci Rep''. 2021 Oct 11; '''11''' (1):20101
Visualized and Quantitative Conformational Analysis of Peptidomimetics. Description: Takashima, Hajime, et al. Visualized and Quantitative Conformational Analysis of Peptidomimetics. ''ACS Omega''. 2021 Oct 12; '''6''' (40):26601-26612
Discovery and validation of methylation signatures in circulating cell-free DNA for early detection of esophageal cancer: a case-control study. Description: Qiao, Guibin, et al. Discovery and validation of methylation signatures in circulating cell-free DNA for early detection of esophageal cancer: a case-control study. ''BMC Med''. 2021 Oct 13; '''19''' (1):243
Finger sweat analysis enables short interval metabolic biomonitoring in humans. Description: Brunmair, Julia, et al. Finger sweat analysis enables short interval metabolic biomonitoring in humans. ''Nat Commun''. 2021 Oct 13; '''12''' (1):5993
Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning. Description: Ni, Peng, et al. Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning. ''Nat Commun''. 2021 Oct 13; '''12''' (1):5976
Multi-instance learning of graph neural networks for aqueous pKa prediction. Description: Xiong, Jiacheng, et al. Multi-instance learning of graph neural networks for aqueous pKa prediction. ''Bioinformatics''. 2021 Oct 13;
Population modeling with machine learning can enhance measures of mental health. Description: Dadi, Kamalaker, et al. Population modeling with machine learning can enhance measures of mental health. ''Gigascience''. 2021 Oct 13; '''10''' (10):
A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images. Description: Kanavati, Fahdi, et al. A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images. ''Sci Rep''. 2021 Oct 14; '''11''' (1):20486
AHDC1 missense mutations in Xia-Gibbs syndrome. Description: Khayat, Michael M, et al. AHDC1 missense mutations in Xia-Gibbs syndrome. ''HGG Adv''. 2021 Oct 14; '''2''' (4):
An alternate covalent form of platelet alphaIIbbeta3 integrin that resides in focal adhesions and has altered function. Description: Pijning, Aster E, et al. An alternate covalent form of platelet alphaIIbbeta3 integrin that resides in focal adhesions and has altered function. ''Blood''. 2021 Oct 14; '''138''' (15):1359-1372
An open-source, high-performance tool for automated sleep staging. Description: Vallat, Raphael, et al. An open-source, high-performance tool for automated sleep staging. ''Elife''. 2021 Oct 14; '''10''':
Convolutional neural network for classification of eight types of arrhythmia using 2D time-frequency feature map from standard 12-lead electrocardiogram. Description: Jeong, Da Un, et al. Convolutional neural network for classification of eight types of arrhythmia using 2D time-frequency feature map from standard 12-lead electrocardiogram. ''Sci Rep''. 2021 Oct 14; '''11''' (1):20396
DCMC as a Promising Alternative to Bentonite in White Wine Stabilization. Impact on Protein Stability and Wine Aromatic Fraction. Description: Saracino, Francesco, et al. DCMC as a Promising Alternative to Bentonite in White Wine Stabilization. Impact on Protein Stability and Wine Aromatic Fraction. ''Molecules''. 2021 Oct 14; '''26''' (20):
Deep Ensemble Learning Approaches in Healthcare to Enhance the Prediction and Diagnosing Performance: The Workflows, Deployments, and Surveys on the Statistical, Image-Based, and Sequential Datasets. Description: Nguyen, Duc-Khanh, et al. Deep Ensemble Learning Approaches in Healthcare to Enhance the Prediction and Diagnosing Performance: The Workflows, Deployments, and Surveys on the Statistical, Image-Based, and Sequential Datasets. ''Int J Environ Res Public Health''. 2021 Oct 14; '''18''' (20):
Generating synthetic contrast enhancement from non-contrast chest computed tomography using a generative adversarial network. Description: Choi, Jae Won, et al. Generating synthetic contrast enhancement from non-contrast chest computed tomography using a generative adversarial network. ''Sci Rep''. 2021 Oct 14; '''11''' (1):20403
Predicting the Role of the Human Gut Microbiome in Constipation Using Machine-Learning Methods: A Meta-Analysis. Description: Chen, Yutao, et al. Predicting the Role of the Human Gut Microbiome in Constipation Using Machine-Learning Methods: A Meta-Analysis. ''Microorganisms''. 2021 Oct 14; '''9''' (10):
Accurate detection of RNA stem-loops in structurome data reveals widespread association with protein binding sites. Description: Radecki, Pierce, et al. Accurate detection of RNA stem-loops in structurome data reveals widespread association with protein binding sites. ''RNA Biol''. 2021 Oct 15; '''18''' (sup1):521-536
Ancestral circuits for vertebrate color vision emerge at the first retinal synapse. Description: Yoshimatsu, Takeshi, et al. Ancestral circuits for vertebrate color vision emerge at the first retinal synapse. ''Sci Adv''. 2021 Oct 15; '''7''' (42):eabj6815
A prehospital diagnostic algorithm for strokes using machine learning: a prospective observational study. Description: Hayashi, Yosuke, et al. A prehospital diagnostic algorithm for strokes using machine learning: a prospective observational study. ''Sci Rep''. 2021 Oct 15; '''11''' (1):20519
Production of Aluminum AA6061 Hybrid Nanocomposite from Waste Metal Using Hot Extrusion Process: Strength Performance and Prediction by RSM and Random Forest. Description: Msebawi, Muntadher Sabah, et al. Production of Aluminum AA6061 Hybrid Nanocomposite from Waste Metal Using Hot Extrusion Process: Strength Performance and Prediction by RSM and Random Forest. ''Materials (Basel)''. 2021 Oct 15; '''14''' (20):
Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes. Description: Pourreza Shahri, Morteza, et al. Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes. ''BMC Bioinformatics''. 2021 Oct 16; '''22''' (1):500
Development of a random forest model for hypotension prediction after anesthesia induction for cardiac surgery. Description: Li, Xuan-Fa, et al. Development of a random forest model for hypotension prediction after anesthesia induction for cardiac surgery. ''World J Clin Cases''. 2021 Oct 16; '''9''' (29):8729-8739
Machine Learning Prediction Model for Inflammatory Bowel Disease Based on Laboratory Markers. Working Model in a Discovery Cohort Study. Description: Kraszewski, Sebastian, et al. Machine Learning Prediction Model for Inflammatory Bowel Disease Based on Laboratory Markers. Working Model in a Discovery Cohort Study. ''J Clin Med''. 2021 Oct 16; '''10''' (20):
Prediction of all-cause mortality in coronary artery disease patients with atrial fibrillation based on machine learning models. Description: Liu, Xinyun, et al. Prediction of all-cause mortality in coronary artery disease patients with atrial fibrillation based on machine learning models. ''BMC Cardiovasc Disord''. 2021 Oct 16; '''21''' (1):499
Machine Learning Data Augmentation as a Tool to Enhance Quantitative Composition-Activity Relationships of Complex Mixtures. A New Application to Dissect the Role of Main Chemical Components in Bioactive Essential Oils. Description: Ragno, Alessio, et al. Machine Learning Data Augmentation as a Tool to Enhance Quantitative Composition-Activity Relationships of Complex Mixtures. A New Application to Dissect the Role of Main Chemical Components in Bioactive Essential Oils. ''Molecules''. 2021 Oct 17; '''26''' (20):
Screening of beta1- and beta2-Adrenergic Receptor Modulators through Advanced Pharmacoinformatics and Machine Learning Approaches. Description: Islam, Md Ataul, et al. Screening of beta1- and beta2-Adrenergic Receptor Modulators through Advanced Pharmacoinformatics and Machine Learning Approaches. ''Int J Mol Sci''. 2021 Oct 17; '''22''' (20):
Brain age estimation at tract group level and its association with daily life measures, cardiac risk factors and genetic variants. Description: Salih, Ahmed, et al. Brain age estimation at tract group level and its association with daily life measures, cardiac risk factors and genetic variants. ''Sci Rep''. 2021 Oct 18; '''11''' (1):20563
Classifying natural products from plants, fungi or bacteria using the COCONUT database and machine learning. Description: Capecchi, Alice, et al. Classifying natural products from plants, fungi or bacteria using the COCONUT database and machine learning. ''J Cheminform''. 2021 Oct 18; '''13''' (1):82
Interpretable machine learning for early neurological deterioration prediction in atrial fibrillation-related stroke. Description: Kim, Seong-Hwan, et al. Interpretable machine learning for early neurological deterioration prediction in atrial fibrillation-related stroke. ''Sci Rep''. 2021 Oct 18; '''11''' (1):20610
Molecular Properties of Drugs Handled by Kidney OATs and Liver OATPs Revealed by Chemoinformatics and Machine Learning: Implications for Kidney and Liver Disease. Description: Nigam, Anisha K, et al. Molecular Properties of Drugs Handled by Kidney OATs and Liver OATPs Revealed by Chemoinformatics and Machine Learning: Implications for Kidney and Liver Disease. ''Pharmaceutics''. 2021 Oct 18; '''13''' (10):
Temperature Prediction Using Multivariate Time Series Deep Learning in the Lining of an Electric Arc Furnace for Ferronickel Production. Description: Leon-Medina, Jersson X, et al. Temperature Prediction Using Multivariate Time Series Deep Learning in the Lining of an Electric Arc Furnace for Ferronickel Production. ''Sensors (Basel)''. 2021 Oct 18; '''21''' (20):
Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: A retrospective multicentre study. Description: Huang, Binglu, et al. Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: A retrospective multicentre study. ''EBioMedicine''. 2021 Oct 19; '''73''': 103631
Application of Machine Learning to Predict Dielectric Properties of In Vivo Biological Tissue. Description: Gerazov, Branislav, et al. Application of Machine Learning to Predict Dielectric Properties of In Vivo Biological Tissue. ''Sensors (Basel)''. 2021 Oct 19; '''21''' (20):
Contribution of clinical breast exam to cancer detection in women participating in a modern screening program. Description: Menes, Tehillah S, et al. Contribution of clinical breast exam to cancer detection in women participating in a modern screening program. ''BMC Womens Health''. 2021 Oct 19; '''21''' (1):368
Cryo-EM structure of human Pol kappa bound to DNA and mono-ubiquitylated PCNA. Description: Lancey, Claudia, et al. Cryo-EM structure of human Pol kappa bound to DNA and mono-ubiquitylated PCNA. ''Nat Commun''. 2021 Oct 19; '''12''' (1):6095
Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers. Description: Chrisman, Brianna S, et al. Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers. ''BMC Bioinformatics''. 2021 Oct 19; '''22''' (1):509
Keratoconus Diagnostic and Treatment Algorithms Based on Machine-Learning Methods. Description: Malyugin, Boris, et al. Keratoconus Diagnostic and Treatment Algorithms Based on Machine-Learning Methods. ''Diagnostics (Basel)''. 2021 Oct 19; '''11''' (10):
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation. Description: Bac, Jonathan, et al. Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation. ''Entropy (Basel)''. 2021 Oct 19; '''23''' (10):
Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of Campylobacter jejuni and Comparison with MLST and cgMLST: A Luxembourg One-Health Study. Description: Feucherolles, Maureen, et al. Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of Campylobacter jejuni and Comparison with MLST and cgMLST: A Luxembourg One-Health Study. ''Diagnostics (Basel)''. 2021 Oct 20; '''11''' (11):
Modelling the active SARS-CoV-2 helicase complex as a basis for structure-based inhibitor design. Description: Berta, Denes, et al. Modelling the active SARS-CoV-2 helicase complex as a basis for structure-based inhibitor design. ''Chem Sci''. 2021 Oct 20; '''12''' (40):13492-13505
Prediction of synergistic drug combinations using PCA-initialized deep learning. Description: Ma, Jun, et al. Prediction of synergistic drug combinations using PCA-initialized deep learning. ''BioData Min''. 2021 Oct 20; '''14''' (1):46
Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms. Description: Lo, Yu-Tai, et al. Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms. ''BMC Med Inform Decis Mak''. 2021 Oct 20; '''21''' (1):288
Applying Active Learning to the Screening of Molecular Oxygen Evolution Catalysts. Description: Craig, Michael John, et al. Applying Active Learning to the Screening of Molecular Oxygen Evolution Catalysts. ''Molecules''. 2021 Oct 21; '''26''' (21):
Comparison of Decision Tree and Long Short-Term Memory Approaches for Automated Foot Strike Detection in Lower Extremity Amputee Populations. Description: Juneau, Pascale, et al. Comparison of Decision Tree and Long Short-Term Memory Approaches for Automated Foot Strike Detection in Lower Extremity Amputee Populations. ''Sensors (Basel)''. 2021 Oct 21; '''21''' (21):
Human Activity Recognition: A Comparative Study to Assess the Contribution Level of Accelerometer, ECG, and PPG Signals. Description: Afzali Arani, Mahsa Sadat, et al. Human Activity Recognition: A Comparative Study to Assess the Contribution Level of Accelerometer, ECG, and PPG Signals. ''Sensors (Basel)''. 2021 Oct 21; '''21''' (21):
Pairwise Correlation Analysis of the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation. Description: Huckvale, Erik D, et al. Pairwise Correlation Analysis of the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation. ''Genes (Basel)''. 2021 Oct 21; '''12''' (11):
Towards ML-Based Diagnostics of Laser-Plasma Interactions. Description: Rodimkov, Yury, et al. Towards ML-Based Diagnostics of Laser-Plasma Interactions. ''Sensors (Basel)''. 2021 Oct 21; '''21''' (21):
Computer vision reveals hidden variables underlying NF-kappaB activation in single cells. Description: Patel, Parthiv, et al. Computer vision reveals hidden variables underlying NF-kappaB activation in single cells. ''Sci Adv''. 2021 Oct 22; '''7''' (43):eabg4135
Drug target inference by mining transcriptional data using a novel graph convolutional network framework. Description: Zhong, Feisheng, et al. Drug target inference by mining transcriptional data using a novel graph convolutional network framework. ''Protein Cell''. 2021 Oct 22;
Functions predict horizontal gene transfer and the emergence of antibiotic resistance. Description: Zhou, Hao, et al. Functions predict horizontal gene transfer and the emergence of antibiotic resistance. ''Sci Adv''. 2021 Oct 22; '''7''' (43):eabj5056
Microglia become hypofunctional and release metalloproteases and tau seeds when phagocytosing live neurons with P301S tau aggregates. Description: Brelstaff, Jack H, et al. Microglia become hypofunctional and release metalloproteases and tau seeds when phagocytosing live neurons with P301S tau aggregates. ''Sci Adv''. 2021 Oct 22; '''7''' (43):eabg4980
Analysis of Graphomotor Tests with Machine Learning Algorithms for an Early and Universal Pre-Diagnosis of Dysgraphia. Description: Devillaine, Louis, et al. Analysis of Graphomotor Tests with Machine Learning Algorithms for an Early and Universal Pre-Diagnosis of Dysgraphia. ''Sensors (Basel)''. 2021 Oct 23; '''21''' (21):
Comparison of Machine Learning Methods towards Developing Interpretable Polyamide Property Prediction. Description: Lee, Franklin Langlang, et al. Comparison of Machine Learning Methods towards Developing Interpretable Polyamide Property Prediction. ''Polymers (Basel)''. 2021 Oct 23; '''13''' (21):
Neonatal Jaundice Diagnosis Using a Smartphone Camera Based on Eye, Skin, and Fused Features with Transfer Learning. Description: Althnian, Alhanoof, et al. Neonatal Jaundice Diagnosis Using a Smartphone Camera Based on Eye, Skin, and Fused Features with Transfer Learning. ''Sensors (Basel)''. 2021 Oct 23; '''21''' (21):
Radiomics-based machine learning analysis and characterization of breast lesions with multiparametric diffusion-weighted MR. Description: Sun, Kun, et al. Radiomics-based machine learning analysis and characterization of breast lesions with multiparametric diffusion-weighted MR. ''J Transl Med''. 2021 Oct 24; '''19''' (1):443
Adverse Drug Event Prediction Using Noisy Literature-Derived Knowledge Graphs: Algorithm Development and Validation. Description: Dasgupta, Soham, et al. Adverse Drug Event Prediction Using Noisy Literature-Derived Knowledge Graphs: Algorithm Development and Validation. ''JMIR Med Inform''. 2021 Oct 25; '''9''' (10):e32730
Deep learning for cancer type classification and driver gene identification. Description: Zeng, Zexian, et al. Deep learning for cancer type classification and driver gene identification. ''BMC Bioinformatics''. 2021 Oct 25; '''22''' (Suppl 4):491
Breast Invasive Ductal Carcinoma Classification on Whole Slide Images with Weakly-Supervised and Transfer Learning. Description: Kanavati, Fahdi, et al. Breast Invasive Ductal Carcinoma Classification on Whole Slide Images with Weakly-Supervised and Transfer Learning. ''Cancers (Basel)''. 2021 Oct 26; '''13''' (21):
Gut Metabolites Are More Predictive of Disease and Cohoused States than Gut Bacterial Features in a Polycystic Ovary Syndrome-Like Mouse Model. Description: Ho, Bryan, et al. Gut Metabolites Are More Predictive of Disease and Cohoused States than Gut Bacterial Features in a Polycystic Ovary Syndrome-Like Mouse Model. ''mSystems''. 2021 Oct 26; '''6''' (5):e0114920
Hourly Origin-Destination Matrix Estimation Using Intelligent Transportation Systems Data and Deep Learning. Description: Afandizadeh Zargari, Shahriar, et al. Hourly Origin-Destination Matrix Estimation Using Intelligent Transportation Systems Data and Deep Learning. ''Sensors (Basel)''. 2021 Oct 26; '''21''' (21):
Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer. Description: Huber, Marinus, et al. Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer. ''Elife''. 2021 Oct 26; '''10''':
Machine learning with asymmetric abstention for biomedical decision-making. Description: Gandouz, Mariem, et al. Machine learning with asymmetric abstention for biomedical decision-making. ''BMC Med Inform Decis Mak''. 2021 Oct 26; '''21''' (1):294
Modeling Site-Specific Nucleotide Biases Affecting Himar1 Transposon Insertion Frequencies in TnSeq Data Sets. Description: Choudhery, Sanjeevani, et al. Modeling Site-Specific Nucleotide Biases Affecting Himar1 Transposon Insertion Frequencies in TnSeq Data Sets. ''mSystems''. 2021 Oct 26; '''6''' (5):e0087621
Plastic-Degrading Potential across the Global Microbiome Correlates with Recent Pollution Trends. Description: Zrimec, Jan, et al. Plastic-Degrading Potential across the Global Microbiome Correlates with Recent Pollution Trends. ''mBio''. 2021 Oct 26; '''12''' (5):e0215521
Predicting the Easiness and Complexity of English Health Materials for International Tertiary Students With Linguistically Enhanced Machine Learning Algorithms: Development and Validation Study. Description: Xie, Wenxiu, et al. Predicting the Easiness and Complexity of English Health Materials for International Tertiary Students With Linguistically Enhanced Machine Learning Algorithms: Development and Validation Study. ''JMIR Med Inform''. 2021 Oct 26; '''9''' (10):e25110
Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning. Description: Munteanu, Cristian R, et al. Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning. ''Int J Mol Sci''. 2021 Oct 26; '''22''' (21):
Proteomic and lipidomic profiling of demyelinating lesions identifies fatty acids as modulators in lesion recovery. Description: Penkert, Horst, et al. Proteomic and lipidomic profiling of demyelinating lesions identifies fatty acids as modulators in lesion recovery. ''Cell Rep''. 2021 Oct 26; '''37''' (4):109898
Development and Validation of an Efficient MRI Radiomics Signature for Improving the Predictive Performance of 1p/19q Co-Deletion in Lower-Grade Gliomas. Description: Kha, Quang-Hien, et al. Development and Validation of an Efficient MRI Radiomics Signature for Improving the Predictive Performance of 1p/19q Co-Deletion in Lower-Grade Gliomas. ''Cancers (Basel)''. 2021 Oct 27; '''13''' (21):
iTTCA-RF: a random forest predictor for tumor T cell antigens. Description: Jiao, Shihu, et al. iTTCA-RF: a random forest predictor for tumor T cell antigens. ''J Transl Med''. 2021 Oct 27; '''19''' (1):449
Predictive usefulness of RT-PCR testing in different patterns of Covid-19 symptomatology: analysis of a French cohort of 12,810 outpatients. Description: Predictive usefulness of RT-PCR testing in different patterns of Covid-19 symptomatology: analysis of a French cohort of 12,810 outpatients. ''Sci Rep''. 2021 Oct 27; '''11''' (1):21233
Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures. Description: Golriz Khatami, Sepehr, et al. Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures. ''NPJ Syst Biol Appl''. 2021 Oct 27; '''7''' (1):40
Evaluating High-Variance Leaves as Uncertainty Measure for Random Forest Regression. Description: Dutschmann, Thomas-Martin, et al. Evaluating High-Variance Leaves as Uncertainty Measure for Random Forest Regression. ''Molecules''. 2021 Oct 28; '''26''' (21):
Predicting Serum Levels of Lithium-Treated Patients: A Supervised Machine Learning Approach. Description: Hsu, Chih-Wei, et al. Predicting Serum Levels of Lithium-Treated Patients: A Supervised Machine Learning Approach. ''Biomedicines''. 2021 Oct 28; '''9''' (11):
Toward an Extended Definition of Major Depressive Disorder Symptomatology: Digital Assessment and Cross-validation Study. Description: Martin-Key, Nayra A, et al. Toward an Extended Definition of Major Depressive Disorder Symptomatology: Digital Assessment and Cross-validation Study. ''JMIR Form Res''. 2021 Oct 28; '''5''' (10):e27908
Using deep learning to classify pediatric posttraumatic stress disorder at the individual level. Description: Yang, Jing, et al. Using deep learning to classify pediatric posttraumatic stress disorder at the individual level. ''BMC Psychiatry''. 2021 Oct 28; '''21''' (1):535
MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra. Description: Huber, Florian, et al. MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra. ''J Cheminform''. 2021 Oct 29; '''13''' (1):84
Predicting physiological aging rates from a range of quantitative traits using machine learning. Description: Sun, Eric D, et al. Predicting physiological aging rates from a range of quantitative traits using machine learning. ''Aging (Albany NY)''. 2021 Oct 29; '''13''' (20):23471-23516
Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning. Description: Leitherer, Andreas, et al. Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning. ''Nat Commun''. 2021 Oct 29; '''12''' (1):6234
Predicting response to immunotherapy plus chemotherapy in patients with esophageal squamous cell carcinoma using non-invasive Radiomic biomarkers. Description: Zhu, Ying, et al. Predicting response to immunotherapy plus chemotherapy in patients with esophageal squamous cell carcinoma using non-invasive Radiomic biomarkers. ''BMC Cancer''. 2021 Oct 30; '''21''' (1):1167
Quantifying the impact of addressing data challenges in prediction of length of stay. Description: Naemi, Amin, et al. Quantifying the impact of addressing data challenges in prediction of length of stay. ''BMC Med Inform Decis Mak''. 2021 Oct 30; '''21''' (1):298
Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach. Description: Pontin, Francesca, et al. Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach. ''Int J Environ Res Public Health''. 2021 Oct 31; '''18''' (21):
Prostate Cancer Aggressiveness Prediction Using CT Images. Description: Mendes, Bruno, et al. Prostate Cancer Aggressiveness Prediction Using CT Images. ''Life (Basel)''. 2021 Oct 31; '''11''' (11):
A Feature Fusion Predictor for RNA Pseudouridine Sites with Particle Swarm Optimizer Based Feature Selection and Ensemble Learning Approach. Description: Wang, Xiao, et al. A Feature Fusion Predictor for RNA Pseudouridine Sites with Particle Swarm Optimizer Based Feature Selection and Ensemble Learning Approach. ''Curr Issues Mol Biol''. 2021 Nov 1; '''43''' (3):1844-1858
A mixture model for signature discovery from sparse mutation data. Description: Sason, Itay, et al. A mixture model for signature discovery from sparse mutation data. ''Genome Med''. 2021 Nov 1; '''13''' (1):173
Anaerobic peroxisomes in Entamoeba histolytica metabolize myo-inositol. Description: Verner, Zdenek, et al. Anaerobic peroxisomes in Entamoeba histolytica metabolize myo-inositol. ''PLoS Pathog''. 2021 Nov; '''17''' (11):e1010041
Analysis of growth cone extension in standardized coordinates highlights self-organization rules during wiring of the Drosophila visual system. Description: Ji, Weiyue, et al. Analysis of growth cone extension in standardized coordinates highlights self-organization rules during wiring of the Drosophila visual system. ''PLoS Genet''. 2021 Nov; '''17''' (11):e1009857
An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci. Description: Mountjoy, Edward, et al. An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci. ''Nat Genet''. 2021 Nov; '''53''' (11):1527-1533
Application of machine learning approaches to predict the 5-year survival status of patients with esophageal cancer. Description: Gong, Xian, et al. Application of machine learning approaches to predict the 5-year survival status of patients with esophageal cancer. ''J Thorac Dis''. 2021 Nov; '''13''' (11):6240-6251
Application of machine learning to predict the outcome of pediatric traumatic brain injury. Description: Tunthanathip, Thara, et al. Application of machine learning to predict the outcome of pediatric traumatic brain injury. ''Chin J Traumatol''. 2021 Nov; '''24''' (6):350-355
Automated detection of cecal intubation with variable bowel preparation using a deep convolutional neural network. Description: Low, Daniel J, et al. Automated detection of cecal intubation with variable bowel preparation using a deep convolutional neural network. ''Endosc Int Open''. 2021 Nov; '''9''' (11):E1778-E1784
Automatic Screening and Identifying Myopic Maculopathy on Optical Coherence Tomography Images Using Deep Learning. Description: Ye, Xin, et al. Automatic Screening and Identifying Myopic Maculopathy on Optical Coherence Tomography Images Using Deep Learning. ''Transl Vis Sci Technol''. 2021 Nov 1; '''10''' (13):10
Context-dependent representations of movement in Drosophila dopaminergic reinforcement pathways. Description: Zolin, Aryeh, et al. Context-dependent representations of movement in Drosophila dopaminergic reinforcement pathways. ''Nat Neurosci''. 2021 Nov; '''24''' (11):1555-1566
Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning. Description: Nowak, Sebastian, et al. Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning. ''Eur Radiol''. 2021 Nov; '''31''' (11):8807-8815
Diurnal fluctuations in musical preference. Description: Heggli, Ole Adrian, et al. Diurnal fluctuations in musical preference. ''R Soc Open Sci''. 2021 Nov; '''8''' (11):210885
Estimate of the HOMA-IR Cut-off Value for Identifying Subjects at Risk of Insulin Resistance Using a Machine Learning Approach. Description: Abdesselam, Abdelhamid, et al. Estimate of the HOMA-IR Cut-off Value for Identifying Subjects at Risk of Insulin Resistance Using a Machine Learning Approach. ''Sultan Qaboos Univ Med J''. 2021 Nov; '''21''' (4):604-612
GI-SleepNet: A Highly Versatile Image-Based Sleep Classification Using a Deep Learning Algorithm. Description: Gao, Tianxiang, et al. GI-SleepNet: A Highly Versatile Image-Based Sleep Classification Using a Deep Learning Algorithm. ''Clocks Sleep''. 2021 Nov 1; '''3''' (4):581-597
Growth factor signaling predicts therapy resistance mechanisms and defines neuroblastoma subtypes. Description: Lebedev, Timofey, et al. Growth factor signaling predicts therapy resistance mechanisms and defines neuroblastoma subtypes. ''Oncogene''. 2021 Nov; '''40''' (44):6258-6272
Hierarchical modelling of functional brain networks in population and individuals from big fMRI data. Description: Farahibozorg, Seyedeh-Rezvan, et al. Hierarchical modelling of functional brain networks in population and individuals from big fMRI data. ''Neuroimage''. 2021 Nov; '''243''': 118513
IMVEST, an immersive multimodal virtual environment stress test for humans that adjusts challenge to individual's performance. Description: Rodrigues, Joao, et al. IMVEST, an immersive multimodal virtual environment stress test for humans that adjusts challenge to individual's performance. ''Neurobiol Stress''. 2021 Nov; '''15''': 100382
Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin. Description: Praljak, Niksa, et al. Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin. ''PLoS Comput Biol''. 2021 Nov; '''17''' (11):e1008946
PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning. Description: Gupta, Aakansha, et al. PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning. ''Comput Biol Med''. 2021 Nov; '''138''': 104920
Prediction and Chemical Interpretation of Singlet-Oxygen-Scavenging Activity of Small Molecule Compounds by Using Machine Learning. Description: Fujimoto, Taiki, et al. Prediction and Chemical Interpretation of Singlet-Oxygen-Scavenging Activity of Small Molecule Compounds by Using Machine Learning. ''Antioxidants (Basel)''. 2021 Nov 1; '''10''' (11):
RESCRIPt: Reproducible sequence taxonomy reference database management. Description: Robeson, Michael S 2nd, et al. RESCRIPt: Reproducible sequence taxonomy reference database management. ''PLoS Comput Biol''. 2021 Nov; '''17''' (11):e1009581
Schistocins: Novel antimicrobial peptides encrypted in the Schistosoma mansoni Kunitz Inhibitor SmKI-1. Description: Santos, B P O, et al. Schistocins: Novel antimicrobial peptides encrypted in the Schistosoma mansoni Kunitz Inhibitor SmKI-1. ''Biochim Biophys Acta Gen Subj''. 2021 Nov; '''1865''' (11):129989
Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression. Description: Movassaghi, Cameron S, et al. Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression. ''Anal Bioanal Chem''. 2021 Nov; '''413''' (27):6747-6767
Statistical guidelines for quality control of next-generation sequencing techniques. Description: Sprang, Maximilian, et al. Statistical guidelines for quality control of next-generation sequencing techniques. ''Life Sci Alliance''. 2021 Nov; '''4''' (11):
Tendency of Driving to the Basket Is Associated With Increased Risk of Anterior Cruciate Ligament Tears in National Basketball Association Players: A Cohort Study. Description: Schultz, Blake J, et al. Tendency of Driving to the Basket Is Associated With Increased Risk of Anterior Cruciate Ligament Tears in National Basketball Association Players: A Cohort Study. ''Orthop J Sports Med''. 2021 Nov; '''9''' (11):23259671211052953
Toward insights on antimicrobial selectivity of host defense peptides via machine learning model interpretation. Description: Li, Hao, et al. Toward insights on antimicrobial selectivity of host defense peptides via machine learning model interpretation. ''Genomics''. 2021 Nov; '''113''' (6):3851-3863
Towards real time assessment of intramuscular fat content in meat using optical fiber-based optical coherence tomography. Description: Thampi, Abi, et al. Towards real time assessment of intramuscular fat content in meat using optical fiber-based optical coherence tomography. ''Meat Sci''. 2021 Nov; '''181''': 108411
Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering. Description: Mullick, Baishali, et al. Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering. ''Comput Biol Med''. 2021 Nov; '''138''': 104915
Use of a Risk Analytic Algorithm to Inform Weaning From Vasoactive Medication in Patients Following Pediatric Cardiac Surgery. Description: Goldsmith, Michael P, et al. Use of a Risk Analytic Algorithm to Inform Weaning From Vasoactive Medication in Patients Following Pediatric Cardiac Surgery. ''Crit Care Explor''. 2021 Nov; '''3''' (11):e0563
Increased fidelity of protein synthesis extends lifespan. Description: Martinez-Miguel, Victoria Eugenia, et al. Increased fidelity of protein synthesis extends lifespan. ''Cell Metab''. 2021 Nov 2; '''33''' (11):2288-2300.e12
Convergence of oncogenic cooperation at single-cell and single-gene levels drives leukemic transformation. Description: Liu, Yuxuan, et al. Convergence of oncogenic cooperation at single-cell and single-gene levels drives leukemic transformation. ''Nat Commun''. 2021 Nov 3; '''12''' (1):6323
Crash Injury Severity Prediction Using an Ordinal Classification Machine Learning Approach. Description: Zhu, Shengxue, et al. Crash Injury Severity Prediction Using an Ordinal Classification Machine Learning Approach. ''Int J Environ Res Public Health''. 2021 Nov 3; '''18''' (21):
Multi-Run Concrete Autoencoder to Identify Prognostic lncRNAs for 12 Cancers. Description: Al Mamun, Abdullah, et al. Multi-Run Concrete Autoencoder to Identify Prognostic lncRNAs for 12 Cancers. ''Int J Mol Sci''. 2021 Nov 3; '''22''' (21):
Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data. Description: Tanner, Georgette, et al. Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data. ''Nat Commun''. 2021 Nov 4; '''12''' (1):6396
Comparative analysis of molecular fingerprints in prediction of drug combination effects. Description: Zagidullin, B, et al. Comparative analysis of molecular fingerprints in prediction of drug combination effects. ''Brief Bioinform''. 2021 Nov 5; '''22''' (6):
Identification of stress response proteins through fusion of machine learning models and statistical paradigms. Description: Alzahrani, Ebraheem, et al. Identification of stress response proteins through fusion of machine learning models and statistical paradigms. ''Sci Rep''. 2021 Nov 5; '''11''' (1):21767
Progress toward SHAPE Constrained Computational Prediction of Tertiary Interactions in RNA Structure. Description: De Bisschop, Gregoire, et al. Progress toward SHAPE Constrained Computational Prediction of Tertiary Interactions in RNA Structure. ''Noncoding RNA''. 2021 Nov 5; '''7''' (4):
Protein Abundance Prediction Through Machine Learning Methods. Description: Ferreira, Mauricio, et al. Protein Abundance Prediction Through Machine Learning Methods. ''J Mol Biol''. 2021 Nov 5; '''433''' (22):167267
Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic. Description: Pesantez, Jorge E, et al. Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic. ''Sustain Cities Soc''. 2021 Nov 6; 103520
An Adaptive Multi-Modal Control Strategy to Attenuate the Limb Position Effect in Myoelectric Pattern Recognition. Description: Spieker, Veronika, et al. An Adaptive Multi-Modal Control Strategy to Attenuate the Limb Position Effect in Myoelectric Pattern Recognition. ''Sensors (Basel)''. 2021 Nov 7; '''21''' (21):
Local Differential Privacy in the Medical Domain to Protect Sensitive Information: Algorithm Development and Real-World Validation. Description: Sung, MinDong, et al. Local Differential Privacy in the Medical Domain to Protect Sensitive Information: Algorithm Development and Real-World Validation. ''JMIR Med Inform''. 2021 Nov 8; '''9''' (11):e26914
Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer. Description: Chan, Joseph M, et al. Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer. ''Cancer Cell''. 2021 Nov 8; '''39''' (11):1479-1496.e18
Thermal face recognition under different conditions. Description: Lin, Shinfeng D, et al. Thermal face recognition under different conditions. ''BMC Bioinformatics''. 2021 Nov 8; '''22''' (Suppl 5):313
Deep Learning Models for Poorly Differentiated Colorectal Adenocarcinoma Classification in Whole Slide Images Using Transfer Learning. Description: Tsuneki, Masayuki, et al. Deep Learning Models for Poorly Differentiated Colorectal Adenocarcinoma Classification in Whole Slide Images Using Transfer Learning. ''Diagnostics (Basel)''. 2021 Nov 9; '''11''' (11):
HashSeq: a Simple, Scalable, and Conservative De Novo Variant Caller for 16S rRNA Gene Data Sets. Description: Fouladi, Farnaz, et al. HashSeq: a Simple, Scalable, and Conservative De Novo Variant Caller for 16S rRNA Gene Data Sets. ''mSystems''. 2021 Nov 9; e0069721
Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study. Description: Yang, Yujie, et al. Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study. ''JMIR Med Inform''. 2021 Nov 10; '''9''' (11):e30277
Modeling coronavirus spike protein dynamics: implications for immunogenicity and immune escape. Description: Kunkel, Genevieve, et al. Modeling coronavirus spike protein dynamics: implications for immunogenicity and immune escape. ''Biophys J''. 2021 Nov 10;
PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains. Description: Her, Hsuan-Lin, et al. PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains. ''BMC Bioinformatics''. 2021 Nov 10; '''22''' (1):548
Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques. Description: Khabbaz, Hossein, et al. Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques. ''BMC Bioinformatics''. 2021 Nov 10; '''22''' (1):549
Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis. Description: Klimis, Harry, et al. Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis. ''JMIR Mhealth Uhealth''. 2021 Nov 10; '''9''' (11):e27779
Leveraging machine learning essentiality predictions and chemogenomic interactions to identify antifungal targets. Description: Fu, Ci, et al. Leveraging machine learning essentiality predictions and chemogenomic interactions to identify antifungal targets. ''Nat Commun''. 2021 Nov 11; '''12''' (1):6497
DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology. Description: Liu, Xuhan, et al. DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology. ''J Cheminform''. 2021 Nov 12; '''13''' (1):85
Fast alignment and preprocessing of chromatin profiles with Chromap. Description: Zhang, Haowen, et al. Fast alignment and preprocessing of chromatin profiles with Chromap. ''Nat Commun''. 2021 Nov 12; '''12''' (1):6566
Machining feature recognition based on deep neural networks to support tight integration with 3D CAD systems. Description: Yeo, Changmo, et al. Machining feature recognition based on deep neural networks to support tight integration with 3D CAD systems. ''Sci Rep''. 2021 Nov 12; '''11''' (1):22147
The Feasibility of Differentiating Lewy Body Dementia and Alzheimer's Disease by Deep Learning Using ECD SPECT Images. Description: Ni, Yu-Ching, et al. The Feasibility of Differentiating Lewy Body Dementia and Alzheimer's Disease by Deep Learning Using ECD SPECT Images. ''Diagnostics (Basel)''. 2021 Nov 12; '''11''' (11):
Machine Learning Model for Outcome Prediction of Patients Suffering from Acute Diverticulitis Arriving at the Emergency Department-A Proof of Concept Study. Description: Klang, Eyal, et al. Machine Learning Model for Outcome Prediction of Patients Suffering from Acute Diverticulitis Arriving at the Emergency Department-A Proof of Concept Study. ''Diagnostics (Basel)''. 2021 Nov 13; '''11''' (11):
A Predictive Model for Severe COVID-19 in the Medicare Population: A Tool for Prioritizing Primary and Booster COVID-19 Vaccination. Description: Experton, Bettina, et al. A Predictive Model for Severe COVID-19 in the Medicare Population: A Tool for Prioritizing Primary and Booster COVID-19 Vaccination. ''Biology (Basel)''. 2021 Nov 15; '''10''' (11):
Machine learning models for screening carotid atherosclerosis in asymptomatic adults. Description: Yu, Jian, et al. Machine learning models for screening carotid atherosclerosis in asymptomatic adults. ''Sci Rep''. 2021 Nov 15; '''11''' (1):22236
Mapping individual differences across brain network structure to function and behavior with connectome embedding. Description: Levakov, Gidon, et al. Mapping individual differences across brain network structure to function and behavior with connectome embedding. ''Neuroimage''. 2021 Nov 15; '''242''': 118469
Artificial intelligence model comparison for risk factor analysis of patent ductus arteriosus in nationwide very low birth weight infants cohort. Description: Na, Jae Yoon, et al. Artificial intelligence model comparison for risk factor analysis of patent ductus arteriosus in nationwide very low birth weight infants cohort. ''Sci Rep''. 2021 Nov 16; '''11''' (1):22353
Computer-assisted classification of contrarian claims about climate change. Description: Coan, Travis G, et al. Computer-assisted classification of contrarian claims about climate change. ''Sci Rep''. 2021 Nov 16; '''11''' (1):22320
Deep Learning on Oral Squamous Cell Carcinoma Ex Vivo Fluorescent Confocal Microscopy Data: A Feasibility Study. Description: Shavlokhova, Veronika, et al. Deep Learning on Oral Squamous Cell Carcinoma Ex Vivo Fluorescent Confocal Microscopy Data: A Feasibility Study. ''J Clin Med''. 2021 Nov 16; '''10''' (22):
Supervised learning based on tumor imaging and biopsy transcriptomics predicts response of hepatocellular carcinoma to transarterial chemoembolization. Description: Boldanova, Tuyana, et al. Supervised learning based on tumor imaging and biopsy transcriptomics predicts response of hepatocellular carcinoma to transarterial chemoembolization. ''Cell Rep Med''. 2021 Nov 16; '''2''' (11):100444
Aberrant Patterns of Sensory-Evoked Activity in the Olfactory Bulb of LRRK2 Knockout Mice. Description: Maset, Andrea, et al. Aberrant Patterns of Sensory-Evoked Activity in the Olfactory Bulb of LRRK2 Knockout Mice. ''Cells''. 2021 Nov 17; '''10''' (11):
Detection of COVID-19 by Machine Learning Using Routine Laboratory Tests. Description: Cubukcu, Hikmet Can, et al. Detection of COVID-19 by Machine Learning Using Routine Laboratory Tests. ''Am J Clin Pathol''. 2021 Nov 17;
Gpr19 is a circadian clock-controlled orphan GPCR with a role in modulating free-running period and light resetting capacity of the circadian clock. Description: Yamaguchi, Yoshiaki, et al. Gpr19 is a circadian clock-controlled orphan GPCR with a role in modulating free-running period and light resetting capacity of the circadian clock. ''Sci Rep''. 2021 Nov 17; '''11''' (1):22406
Binary Simplification as an Effective Tool in Metabolomics Data Analysis. Description: Traquete, Francisco, et al. Binary Simplification as an Effective Tool in Metabolomics Data Analysis. ''Metabolites''. 2021 Nov 18; '''11''' (11):
Metaviromic identification of discriminative genomic features in SARS-CoV-2 using machine learning. Description: Park, Jonathan J, et al. Metaviromic identification of discriminative genomic features in SARS-CoV-2 using machine learning. ''Patterns (N Y)''. 2021 Nov 18; 100407
Robust unsupervised deconvolution of linear motifs characterizes 68 protein modifications at proteome scale. Description: Smith, Theodore G, et al. Robust unsupervised deconvolution of linear motifs characterizes 68 protein modifications at proteome scale. ''Sci Rep''. 2021 Nov 18; '''11''' (1):22490
Comparison of deep learning systems and cornea specialists in detecting corneal diseases from low-quality images. Description: Li, Zhongwen, et al. Comparison of deep learning systems and cornea specialists in detecting corneal diseases from low-quality images. ''iScience''. 2021 Nov 19; '''24''' (11):103317
Effect of data leakage in brain MRI classification using 2D convolutional neural networks. Description: Yagis, Ekin, et al. Effect of data leakage in brain MRI classification using 2D convolutional neural networks. ''Sci Rep''. 2021 Nov 19; '''11''' (1):22544
Evaluation of FRET X for single-molecule protein fingerprinting. Description: de Lannoy, Carlos Victor, et al. Evaluation of FRET X for single-molecule protein fingerprinting. ''iScience''. 2021 Nov 19; '''24''' (11):103239
Miscell: An efficient self-supervised learning approach for dissecting single-cell transcriptome. Description: Shen, Hongru, et al. Miscell: An efficient self-supervised learning approach for dissecting single-cell transcriptome. ''iScience''. 2021 Nov 19; '''24''' (11):103200
Patient similarity network of newly diagnosed multiple myeloma identifies patient subgroups with distinct genetic features and clinical implications. Description: Bhalla, Sherry, et al. Patient similarity network of newly diagnosed multiple myeloma identifies patient subgroups with distinct genetic features and clinical implications. ''Sci Adv''. 2021 Nov 19; '''7''' (47):eabg9551
Pop-In Identification in Nanoindentation Curves with Deep Learning Algorithms. Description: Kossman, Stephania, et al. Pop-In Identification in Nanoindentation Curves with Deep Learning Algorithms. ''Materials (Basel)''. 2021 Nov 19; '''14''' (22):
Prediction of the degree of pathological differentiation in tongue squamous cell carcinoma based on radiomics analysis of magnetic resonance images. Description: Yu, Baoting, et al. Prediction of the degree of pathological differentiation in tongue squamous cell carcinoma based on radiomics analysis of magnetic resonance images. ''BMC Oral Health''. 2021 Nov 19; '''21''' (1):585
A mobile-assisted voice condition analysis system for Parkinson's disease: assessment of usability conditions. Description: Carron, Javier, et al. A mobile-assisted voice condition analysis system for Parkinson's disease: assessment of usability conditions. ''Biomed Eng Online''. 2021 Nov 21; '''20''' (1):114
New Investigations with Lupane Type A-Ring Azepane Triterpenoids for Antimycobacterial Drug Candidate Design. Description: Kazakova, Oxana, et al. New Investigations with Lupane Type A-Ring Azepane Triterpenoids for Antimycobacterial Drug Candidate Design. ''Int J Mol Sci''. 2021 Nov 21; '''22''' (22):
Xylan alleviates dietary fiber deprivation-induced dysbiosis by selectively promoting Bifidobacterium pseudocatenulatum in pigs. Description: Wang, Zhenyu, et al. Xylan alleviates dietary fiber deprivation-induced dysbiosis by selectively promoting Bifidobacterium pseudocatenulatum in pigs. ''Microbiome''. 2021 Nov 21; '''9''' (1):227
An Automated System for ECG Arrhythmia Detection Using Machine Learning Techniques. Description: Sraitih, Mohamed, et al. An Automated System for ECG Arrhythmia Detection Using Machine Learning Techniques. ''J Clin Med''. 2021 Nov 22; '''10''' (22):
COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis. Description: Udristoiu, Anca Loredana, et al. COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis. ''Life (Basel)''. 2021 Nov 22; '''11''' (11):
Rapid Detection of Thermal Treatment of Honey by Chemometrics-Assisted FTIR Spectroscopy. Description: Antonova, Olga, et al. Rapid Detection of Thermal Treatment of Honey by Chemometrics-Assisted FTIR Spectroscopy. ''Foods''. 2021 Nov 22; '''10''' (11):
Analyzing artificial intelligence systems for the prediction of atrial fibrillation from sinus-rhythm ECGs including demographics and feature visualization. Description: Melzi, Pietro, et al. Analyzing artificial intelligence systems for the prediction of atrial fibrillation from sinus-rhythm ECGs including demographics and feature visualization. ''Sci Rep''. 2021 Nov 23; '''11''' (1):22786
Predicting protein interaction network perturbation by alternative splicing with semi-supervised learning. Description: Narykov, Oleksandr, et al. Predicting protein interaction network perturbation by alternative splicing with semi-supervised learning. ''Cell Rep''. 2021 Nov 23; '''37''' (8):110045
Spliceator: multi-species splice site prediction using convolutional neural networks. Description: Scalzitti, Nicolas, et al. Spliceator: multi-species splice site prediction using convolutional neural networks. ''BMC Bioinformatics''. 2021 Nov 23; '''22''' (1):561
The Evolution of Rumors on a Closed Social Networking Platform During COVID-19: Algorithm Development and Content Study. Description: Wang, Andrea W, et al. The Evolution of Rumors on a Closed Social Networking Platform During COVID-19: Algorithm Development and Content Study. ''JMIR Med Inform''. 2021 Nov 23; '''9''' (11):e30467
Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma. Description: Tang, Yong, et al. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma. ''BMC Cancer''. 2021 Nov 24; '''21''' (1):1268
Novel deep learning-based solution for identification of prognostic subgroups in liver cancer (Hepatocellular carcinoma). Description: Owens, Alice R, et al. Novel deep learning-based solution for identification of prognostic subgroups in liver cancer (Hepatocellular carcinoma). ''BMC Bioinformatics''. 2021 Nov 24; '''22''' (1):563
Predictive Modeling of Vaccination Uptake in US Counties: A Machine Learning-Based Approach. Description: Cheong, Queena, et al. Predictive Modeling of Vaccination Uptake in US Counties: A Machine Learning-Based Approach. ''J Med Internet Res''. 2021 Nov 25; '''23''' (11):e33231
The effect of noise on the predictive limit of QSAR models. Description: Kolmar, Scott S, et al. The effect of noise on the predictive limit of QSAR models. ''J Cheminform''. 2021 Nov 25; '''13''' (1):92
Developing the Total Health Profile, a Generalizable Unified Set of Multimorbidity Risk Scores Derived From Machine Learning for Broad Patient Populations: Retrospective Cohort Study. Description: Mahajan, Abhishaike, et al. Developing the Total Health Profile, a Generalizable Unified Set of Multimorbidity Risk Scores Derived From Machine Learning for Broad Patient Populations: Retrospective Cohort Study. ''J Med Internet Res''. 2021 Nov 26; '''23''' (11):e32900
Single-nucleus transcriptomic analysis of human dorsal root ganglion neurons. Description: Nguyen, Minh Q, et al. Single-nucleus transcriptomic analysis of human dorsal root ganglion neurons. ''Elife''. 2021 Nov 26; '''10''':
Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network. Description: Chen, Jiarui, et al. Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network. ''J Cheminform''. 2021 Nov 27; '''13''' (1):93
Costs and mortality associated with HIV: a machine learning analysis of the French national health insurance database. Description: Prodel, Martin, et al. Costs and mortality associated with HIV: a machine learning analysis of the French national health insurance database. ''J Public Health Res''. 2021 Nov 29; '''11''' (2):
A 3D structural SARS-CoV-2-human interactome to explore genetic and drug perturbations. Description: Wierbowski, Shayne D, et al. A 3D structural SARS-CoV-2-human interactome to explore genetic and drug perturbations. ''Nat Methods''. 2021 Dec; '''18''' (12):1477-1488
A data-driven framework for mapping domains of human neurobiology. Description: Beam, Elizabeth, et al. A data-driven framework for mapping domains of human neurobiology. ''Nat Neurosci''. 2021 Dec; '''24''' (12):1733-1744
A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults. Description: Tachmazidis, Ilias, et al. A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults. ''Health Inf Sci Syst''. 2021 Dec; '''9''' (1):1
Artificial intelligence in the GPs office: a retrospective study on diagnostic accuracy. Description: Ellertsson, Steindor, et al. Artificial intelligence in the GPs office: a retrospective study on diagnostic accuracy. ''Scand J Prim Health Care''. 2021 Dec; '''39''' (4):448-458
A transdiagnostic data-driven study of children's behaviour and the functional connectome. Description: Jones, Jonathan S, et al. A transdiagnostic data-driven study of children's behaviour and the functional connectome. ''Dev Cogn Neurosci''. 2021 Dec; '''52''': 101027
Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research. Description: Madler, Sophia Clara, et al. Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research. ''NAR Genom Bioinform''. 2021 Dec; '''3''' (4):lqab102
CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data. Description: Miah, Md Ochiuddin, et al. CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data. ''J Neurosci Methods''. 2021 Dec 1; '''364''': 109373
Cortical responses to touch reflect subcortical integration of LTMR signals. Description: Emanuel, Alan J, et al. Cortical responses to touch reflect subcortical integration of LTMR signals. ''Nature''. 2021 Dec; '''600''' (7890):680-685
Development of QSAR models for evaluating pesticide toxicity against Skeletonema costatum. Description: Yang, Lu, et al. Development of QSAR models for evaluating pesticide toxicity against Skeletonema costatum. ''Chemosphere''. 2021 Dec; '''285''': 131456
Diabetes, Drug Treatment, and Mortality in COVID-19: A Multinational Retrospective Cohort Study. Description: Nyland, Jennifer E, et al. Diabetes, Drug Treatment, and Mortality in COVID-19: A Multinational Retrospective Cohort Study. ''Diabetes''. 2021 Dec; '''70''' (12):2903-2916
Discovering optimal strategies for mitigating COVID-19 spread using machine learning: Experience from Asia. Description: Pan, Yue, et al. Discovering optimal strategies for mitigating COVID-19 spread using machine learning: Experience from Asia. ''Sustain Cities Soc''. 2021 Dec; '''75''': 103254
Distinct interhemispheric connectivity at the level of the olfactory bulb emerges during Xenopus laevis metamorphosis. Description: Weiss, Lukas, et al. Distinct interhemispheric connectivity at the level of the olfactory bulb emerges during Xenopus laevis metamorphosis. ''Cell Tissue Res''. 2021 Dec; '''386''' (3):491-511
Fully automated analysis combining [(18)F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression. Description: Paprottka, K J, et al. Fully automated analysis combining [(18)F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression. ''Eur J Nucl Med Mol Imaging''. 2021 Dec; '''48''' (13):4445-4455
Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph. Description: Keresztes, Laszlo, et al. Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph. ''Cogn Neurodyn''. 2021 Dec; '''15''' (6):949-959
Imaging-Based Outcome Prediction of Acute Intracerebral Hemorrhage. Description: Nawabi, Jawed, et al. Imaging-Based Outcome Prediction of Acute Intracerebral Hemorrhage. ''Transl Stroke Res''. 2021 Dec; '''12''' (6):958-967
Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model. Description: Yin, Yunchao, et al. Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model. ''Eur Radiol''. 2021 Dec; '''31''' (12):9620-9627
Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database. Description: Jones, G, et al. Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database. ''Biomech Model Mechanobiol''. 2021 Dec; '''20''' (6):2097-2146
Measuring context dependency in birdsong using artificial neural networks. Description: Morita, Takashi, et al. Measuring context dependency in birdsong using artificial neural networks. ''PLoS Comput Biol''. 2021 Dec; '''17''' (12):e1009707
mmCSM-NA: accurately predicting effects of single and multiple mutations on protein-nucleic acid binding affinity. Description: Nguyen, Thanh Binh, et al. mmCSM-NA: accurately predicting effects of single and multiple mutations on protein-nucleic acid binding affinity. ''NAR Genom Bioinform''. 2021 Dec; '''3''' (4):lqab109
MutScape: an analytical toolkit for probing the mutational landscape in cancer genomics. Description: Lu, Cheng-Hua, et al. MutScape: an analytical toolkit for probing the mutational landscape in cancer genomics. ''NAR Genom Bioinform''. 2021 Dec; '''3''' (4):lqab099
New genetic variants associated with major adverse cardiovascular events in patients with acute coronary syndromes and treated with clopidogrel and aspirin. Description: Liu, Xiaomin, et al. New genetic variants associated with major adverse cardiovascular events in patients with acute coronary syndromes and treated with clopidogrel and aspirin. ''Pharmacogenomics J''. 2021 Dec; '''21''' (6):664-672
Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients. Description: James, Charlotte, et al. Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients. ''JAMA Netw Open''. 2021 Dec 1; '''4''' (12):e2136553
Predicting reversed-phase liquid chromatographic retention times of pesticides by deep neural networks. Description: Parinet, Julien. Predicting reversed-phase liquid chromatographic retention times of pesticides by deep neural networks. ''Heliyon''. 2021 Dec; '''7''' (12):e08563
Quality control stress test for deep learning-based diagnostic model in digital pathology. Description: Schomig-Markiefka, Birgid, et al. Quality control stress test for deep learning-based diagnostic model in digital pathology. ''Mod Pathol''. 2021 Dec; '''34''' (12):2098-2108
Reclassifying stroke lesion anatomy. Description: Bonkhoff, Anna K, et al. Reclassifying stroke lesion anatomy. ''Cortex''. 2021 Dec; '''145''': 1-12
Social cognitive factors outweigh negative emotionality in predicting COVID-19 related safety behaviors. Description: Hein, Grit, et al. Social cognitive factors outweigh negative emotionality in predicting COVID-19 related safety behaviors. ''Prev Med Rep''. 2021 Dec; '''24''': 101559
Structure and function of axo-axonic inhibition. Description: Schneider-Mizell, Casey M, et al. Structure and function of axo-axonic inhibition. ''Elife''. 2021 Dec 1; '''10''':
The development of a machine learning algorithm to identify occupational injuries in agriculture using pre-hospital care reports. Description: Scott, Erika, et al. The development of a machine learning algorithm to identify occupational injuries in agriculture using pre-hospital care reports. ''Health Inf Sci Syst''. 2021 Dec; '''9''' (1):31
Transcriptional and functional divergence in lateral hypothalamic glutamate neurons projecting to the lateral habenula and ventral tegmental area. Description: Rossi, Mark A, et al. Transcriptional and functional divergence in lateral hypothalamic glutamate neurons projecting to the lateral habenula and ventral tegmental area. ''Neuron''. 2021 Dec 1; '''109''' (23):3823-3837.e6
Transfer learning compensates limited data, batch effects and technological heterogeneity in single-cell sequencing. Description: Park, Youngjun, et al. Transfer learning compensates limited data, batch effects and technological heterogeneity in single-cell sequencing. ''NAR Genom Bioinform''. 2021 Dec; '''3''' (4):lqab104
TSSF-hERG: A machine-learning-based hERG potassium channel-specific scoring function for chemical cardiotoxicity prediction. Description: Meng, Jinhui, et al. TSSF-hERG: A machine-learning-based hERG potassium channel-specific scoring function for chemical cardiotoxicity prediction. ''Toxicology''. 2021 Dec; '''464''': 153018
Visual adaptation and 7T fMRI reveal facial identity processing in the human brain under shallow interocular suppression. Description: Cao, Runnan, et al. Visual adaptation and 7T fMRI reveal facial identity processing in the human brain under shallow interocular suppression. ''Neuroimage''. 2021 Dec 1; '''244''': 118622
A multi-omic single-cell landscape of human gynecologic malignancies. Description: Regner, Matthew J, et al. A multi-omic single-cell landscape of human gynecologic malignancies. ''Mol Cell''. 2021 Dec 2; '''81''' (23):4924-4941.e10
scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network. Description: Shao, Xin, et al. scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network. ''Nucleic Acids Res''. 2021 Dec 2; '''49''' (21):e122
Staem5: A novel computational approachfor accurate prediction of m5C site. Description: Chai, Di, et al. Staem5: A novel computational approachfor accurate prediction of m5C site. ''Mol Ther Nucleic Acids''. 2021 Dec 3; '''26''': 1027-1034
Flexible filtering by neural inputs supports motion computation across states and stimuli. Description: Kohn, Jessica R, et al. Flexible filtering by neural inputs supports motion computation across states and stimuli. ''Curr Biol''. 2021 Dec 6; '''31''' (23):5249-5260.e5
Machine Learning Methodologies for Prediction of Rhythm-Control Strategy in Patients Diagnosed With Atrial Fibrillation: Observational, Retrospective, Case-Control Study. Description: Kim, Rachel S, et al. Machine Learning Methodologies for Prediction of Rhythm-Control Strategy in Patients Diagnosed With Atrial Fibrillation: Observational, Retrospective, Case-Control Study. ''JMIR Med Inform''. 2021 Dec 6; '''9''' (12):e29225
OmicsOne: associate omics data with phenotypes in one-click. Description: Zhang, Hui, et al. OmicsOne: associate omics data with phenotypes in one-click. ''Clin Proteomics''. 2021 Dec 11; '''18''' (1):29
Soluble amyloid-beta isoforms predict downstream Alzheimer's disease pathology. Description: Povala, Guilherme, et al. Soluble amyloid-beta isoforms predict downstream Alzheimer's disease pathology. ''Cell Biosci''. 2021 Dec 11; '''11''' (1):204
Evaluation of a Deep Learning Algorithm for Automated Spleen Segmentation in Patients with Conditions Directly or Indirectly Affecting the Spleen. Description: Meddeb, Aymen, et al. Evaluation of a Deep Learning Algorithm for Automated Spleen Segmentation in Patients with Conditions Directly or Indirectly Affecting the Spleen. ''Tomography''. 2021 Dec 13; '''7''' (4):950-960
Predictive Model for Drug-Induced Liver Injury Using Deep Neural Networks Based on Substructure Space. Description: Kang, Myung-Gyun, et al. Predictive Model for Drug-Induced Liver Injury Using Deep Neural Networks Based on Substructure Space. ''Molecules''. 2021 Dec 13; '''26''' (24):
Deep Learning for Reconstructing Low-Quality FTIR and Raman Spectra horizontal line A Case Study in Microplastic Analyses. Description: Brandt, Josef, et al. Deep Learning for Reconstructing Low-Quality FTIR and Raman Spectra horizontal line A Case Study in Microplastic Analyses. ''Anal Chem''. 2021 Dec 14; '''93''' (49):16360-16368
Comprehensive prediction of robust synthetic lethality between paralog pairs in cancer cell lines. Description: De Kegel, Barbara, et al. Comprehensive prediction of robust synthetic lethality between paralog pairs in cancer cell lines. ''Cell Syst''. 2021 Dec 15; '''12''' (12):1144-1159.e6
Diagnosing capillary leak in critically ill patients: development of an innovative scoring instrument for non-invasive detection. Description: Wollborn, Jakob, et al. Diagnosing capillary leak in critically ill patients: development of an innovative scoring instrument for non-invasive detection. ''Ann Intensive Care''. 2021 Dec 15; '''11''' (1):175
Decoding gut microbiota by imaging analysis of fecal samples. Description: Furusawa, Chikara, et al. Decoding gut microbiota by imaging analysis of fecal samples. ''iScience''. 2021 Dec 17; '''24''' (12):103481
Quantitative neuronal morphometry by supervised and unsupervised learning. Description: Bijari, Kayvan, et al. Quantitative neuronal morphometry by supervised and unsupervised learning. ''STAR Protoc''. 2021 Dec 17; '''2''' (4):100867
RBPSpot: Learning on appropriate contextual information for RBP binding sites discovery. Description: Sharma, Nitesh Kumar, et al. RBPSpot: Learning on appropriate contextual information for RBP binding sites discovery. ''iScience''. 2021 Dec 17; '''24''' (12):103381
Robust deep learning model for prognostic stratification of pancreatic ductal adenocarcinoma patients. Description: Ju, Jie, et al. Robust deep learning model for prognostic stratification of pancreatic ductal adenocarcinoma patients. ''iScience''. 2021 Dec 17; '''24''' (12):103415
Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning. Description: Koopaie, Maryam, et al. Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning. ''BMC Oral Health''. 2021 Dec 18; '''21''' (1):650
Adolescents with borderline personality disorder show a higher response to stress but a lack of self-perception: Evidence through affective computing. Description: Bourvis, Nadege, et al. Adolescents with borderline personality disorder show a higher response to stress but a lack of self-perception: Evidence through affective computing. ''Prog Neuropsychopharmacol Biol Psychiatry''. 2021 Dec 20; '''111''': 110095
Padlock Probe-Based Generation of DNAzymes for the Colorimetric Detection of Antibiotic Resistance Genes. Description: Conzemius, Rick, et al. Padlock Probe-Based Generation of DNAzymes for the Colorimetric Detection of Antibiotic Resistance Genes. ''Int J Mol Sci''. 2021 Dec 20; '''22''' (24):
Sports Participation and Value of Elite Sports in Predicting Well-Being. Description: Silva, Alfredo, et al. Sports Participation and Value of Elite Sports in Predicting Well-Being. ''Sports (Basel)''. 2021 Dec 20; '''9''' (12):
AI-Enabled Predictive Maintenance Framework for Autonomous Mobile Cleaning Robots. Description: Pookkuttath, Sathian, et al. AI-Enabled Predictive Maintenance Framework for Autonomous Mobile Cleaning Robots. ''Sensors (Basel)''. 2021 Dec 21; '''22''' (1):
Subtyping of mild cognitive impairment using a deep learning model based on brain atrophy patterns. Description: Kwak, Kichang, et al. Subtyping of mild cognitive impairment using a deep learning model based on brain atrophy patterns. ''Cell Rep Med''. 2021 Dec 21; '''2''' (12):100467
Systems biology analysis of human genomes points to key pathways conferring spina bifida risk. Description: Aguiar-Pulido, Vanessa, et al. Systems biology analysis of human genomes points to key pathways conferring spina bifida risk. ''Proc Natl Acad Sci U S A''. 2021 Dec 21; '''118''' (51):
Atomistic Descriptors for Machine Learning Models of Solubility Parameters for Small Molecules and Polymers. Description: Chi, Mingzhe, et al. Atomistic Descriptors for Machine Learning Models of Solubility Parameters for Small Molecules and Polymers. ''Polymers (Basel)''. 2021 Dec 22; '''14''' (1):
Benchmark Evaluation of Protein-Protein Interaction Prediction Algorithms. Description: Dunham, Brandan, et al. Benchmark Evaluation of Protein-Protein Interaction Prediction Algorithms. ''Molecules''. 2021 Dec 22; '''27''' (1):
Comparison of Phenolic Content and Antioxidant Activity for Fermented and Unfermented Rooibos Samples Extracted with Water and Methanol. Description: Hussein, Eslam A, et al. Comparison of Phenolic Content and Antioxidant Activity for Fermented and Unfermented Rooibos Samples Extracted with Water and Methanol. ''Plants (Basel)''. 2021 Dec 22; '''11''' (1):
Generation of Time-Series Working Patterns for Manufacturing High-Quality Products through Auxiliary Classifier Generative Adversarial Network. Description: Bazarbaev, Manas, et al. Generation of Time-Series Working Patterns for Manufacturing High-Quality Products through Auxiliary Classifier Generative Adversarial Network. ''Sensors (Basel)''. 2021 Dec 22; '''22''' (1):
Distributed coding of duration in rodent prefrontal cortex during time reproduction. Description: Henke, Josephine, et al. Distributed coding of duration in rodent prefrontal cortex during time reproduction. ''Elife''. 2021 Dec 23; '''10''':
Allosteric Effect of Nanobody Binding on Ligand-Specific Active States of the beta2 Adrenergic Receptor. Description: Chen, Yue, et al. Allosteric Effect of Nanobody Binding on Ligand-Specific Active States of the beta2 Adrenergic Receptor. ''J Chem Inf Model''. 2021 Dec 27; '''61''' (12):6024-6037
Prediction of Optimal Conditions of Hydrogenation Reaction Using the Likelihood Ranking Approach. Description: Afonina, Valentina A, et al. Prediction of Optimal Conditions of Hydrogenation Reaction Using the Likelihood Ranking Approach. ''Int J Mol Sci''. 2021 Dec 27; '''23''' (1):
Spatiotemporal localization of proteins in mycobacteria. Description: Zhu, Junhao, et al. Spatiotemporal localization of proteins in mycobacteria. ''Cell Rep''. 2021 Dec 28; '''37''' (13):110154
Study on the Optimization of Hyperspectral Characteristic Bands Combined with Monitoring and Visualization of Pepper Leaf SPAD Value. Description: Yuan, Ziran, et al. Study on the Optimization of Hyperspectral Characteristic Bands Combined with Monitoring and Visualization of Pepper Leaf SPAD Value. ''Sensors (Basel)''. 2021 Dec 28; '''22''' (1):
Electromyogram-Based Classification of Hand and Finger Gestures Using Artificial Neural Networks. Description: Lee, Kyung Hyun, et al. Electromyogram-Based Classification of Hand and Finger Gestures Using Artificial Neural Networks. ''Sensors (Basel)''. 2021 Dec 29; '''22''' (1):
Exploring the Lethality of Human-Adapted Coronavirus Through Alignment-Free Machine Learning Approaches Using Genomic Sequences. Description: Yin, Rui, et al. Exploring the Lethality of Human-Adapted Coronavirus Through Alignment-Free Machine Learning Approaches Using Genomic Sequences. ''Curr Genomics''. 2021 Dec 31; '''22''' (8):583-595
Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer. Description: Imbalzano, Egidio, et al. Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer. ''J Clin Med''. 2021 Dec 31; '''11''' (1):
A catalogue of 1,167 genomes from the human gut archaeome. Description: Chibani, Cynthia Maria, et al. A catalogue of 1,167 genomes from the human gut archaeome. ''Nat Microbiol''. 2022 Jan; '''7''' (1):48-61
An artificial intelligence powered platform for auto-analyses of spine alignment irrespective of image quality with prospective validation. Description: Meng, Nan, et al. An artificial intelligence powered platform for auto-analyses of spine alignment irrespective of image quality with prospective validation. ''EClinicalMedicine''. 2022 Jan; '''43''': 101252
Angiotensin-Converting Enzyme (ACE) Inhibitors May Moderate COVID-19 Hyperinflammatory Response: An Observational Study with Deep Immunophenotyping. Description: Duvvuri, Venkata R, et al. Angiotensin-Converting Enzyme (ACE) Inhibitors May Moderate COVID-19 Hyperinflammatory Response: An Observational Study with Deep Immunophenotyping. ''Health Data Sci''. 2022; '''2022''':
A novel machine learning approach to predict the export price of seafood products based on competitive information: The case of the export of Vietnamese shrimp to the US market. Description: Khiem, Nguyen Minh, et al. A novel machine learning approach to predict the export price of seafood products based on competitive information: The case of the export of Vietnamese shrimp to the US market. ''PLoS One''. 2022; '''17''' (9):e0275290
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge. Description: Bulten, Wouter, et al. Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge. ''Nat Med''. 2022 Jan; '''28''' (1):154-163
Automated Early Detection of Alzheimer's Disease by Capturing Impairments in Multiple Cognitive Domains with Multiple Drawing Tasks. Description: Kobayashi, Masatomo, et al. Automated Early Detection of Alzheimer's Disease by Capturing Impairments in Multiple Cognitive Domains with Multiple Drawing Tasks. ''J Alzheimers Dis''. 2022; '''88''' (3):1075-1089
Automated Segmentation and Connectivity Analysis for Normal Pressure Hydrocephalus. Description: Zhang, Angela, et al. Automated Segmentation and Connectivity Analysis for Normal Pressure Hydrocephalus. ''BME Front''. 2022; '''2022''': 9783128
Automatic Detection of Medial and Lateral Compartments from Histological Sections of Mouse Knee Joints Using the Single-Shot Multibox Detector Algorithm. Description: Mori, Yoshifumi, et al. Automatic Detection of Medial and Lateral Compartments from Histological Sections of Mouse Knee Joints Using the Single-Shot Multibox Detector Algorithm. ''Cartilage''. 2022 Jan-Mar; '''13''' (1):19476035221074009
BioCAT: Search for biosynthetic gene clusters producing nonribosomal peptides with known structure. Description: Konanov, Dmitry N, et al. BioCAT: Search for biosynthetic gene clusters producing nonribosomal peptides with known structure. ''Comput Struct Biotechnol J''. 2022; '''20''': 1218-1226
Brain age and Alzheimer's-like atrophy are domain-specific predictors of cognitive impairment in Parkinson's disease. Description: Charisse, Daniel, et al. Brain age and Alzheimer's-like atrophy are domain-specific predictors of cognitive impairment in Parkinson's disease. ''Neurobiol Aging''. 2022 Jan; '''109''': 31-42
Breast Cancer Classification on Multiparametric MRI - Increased Performance of Boosting Ensemble Methods. Description: Vamvakas, Alexandros, et al. Breast Cancer Classification on Multiparametric MRI - Increased Performance of Boosting Ensemble Methods. ''Technol Cancer Res Treat''. 2022 Jan-Dec; '''21''': 15330338221087828
Characteristics of Drawing Process Differentiate Alzheimer's Disease and Dementia with Lewy Bodies. Description: Yamada, Yasunori, et al. Characteristics of Drawing Process Differentiate Alzheimer's Disease and Dementia with Lewy Bodies. ''J Alzheimers Dis''. 2022; '''90''' (2):693-704
Characterizing impact of positive lymph node number in endometrial cancer using machine-learning: A better prognostic indicator than FIGO staging? Description: Ladbury, Colton, et al. Characterizing impact of positive lymph node number in endometrial cancer using machine-learning: A better prognostic indicator than FIGO staging? ''Gynecol Oncol''. 2022 Jan; '''164''' (1):39-45
Classification of bacterial plasmid and chromosome derived sequences using machine learning. Description: Zou, Xiaohui, et al. Classification of bacterial plasmid and chromosome derived sequences using machine learning. ''PLoS One''. 2022; '''17''' (12):e0279280
Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic. Description: Ghosheh, Ghadeer O, et al. Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic. ''Intell Based Med''. 2022; '''6''': 100065
Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance. Description: Sushentsev, Nikita, et al. Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance. ''Eur Radiol''. 2022 Jan; '''32''' (1):680-689
Deciphering deamidation and isomerization in therapeutic proteins: Effect of neighboring residue. Description: Irudayanathan, Flaviyan Jerome, et al. Deciphering deamidation and isomerization in therapeutic proteins: Effect of neighboring residue. ''MAbs''. 2022 Jan-Dec; '''14''' (1):2143006
Decision tree-based identification of Staphylococcus aureus via infrared spectral analysis of ambient gas. Description: Honda, Hidehiko, et al. Decision tree-based identification of Staphylococcus aureus via infrared spectral analysis of ambient gas. ''Anal Bioanal Chem''. 2022 Jan; '''414''' (2):1049-1059
Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer. Description: Farahmand, Saman, et al. Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer. ''Mod Pathol''. 2022 Jan; '''35''' (1):44-51
Developing and validating a chronic obstructive pulmonary disease quick screening questionnaire using statistical learning models. Description: Wang, Xiaoyue, et al. Developing and validating a chronic obstructive pulmonary disease quick screening questionnaire using statistical learning models. ''Chron Respir Dis''. 2022 Jan-Dec; '''19''': 14799731221116585
Developing random forest hybridization models for estimating the axial bearing capacity of pile. Description: Pham, Tuan Anh, et al. Developing random forest hybridization models for estimating the axial bearing capacity of pile. ''PLoS One''. 2022; '''17''' (3):e0265747
Dietary supplementation of Bacillus subtilis or antibiotics modified intestinal microbiome of weaned pigs under enterotoxigenic Escherichia coli infection. Description: Jinno, Cynthia, et al. Dietary supplementation of Bacillus subtilis or antibiotics modified intestinal microbiome of weaned pigs under enterotoxigenic Escherichia coli infection. ''Front Microbiol''. 2022; '''13''': 1064328
Differential Histone Posttranslational Modifications Induced by DNA Hypomethylating Agents. Description: Malkaram, Sridhar A, et al. Differential Histone Posttranslational Modifications Induced by DNA Hypomethylating Agents. ''Cancer Control''. 2022 Jan-Dec; '''29''': 10732748221074051
Diversity of synaptic protein complexes as a function of the abundance of their constituent proteins: A modeling approach. Description: Miski, Marcell, et al. Diversity of synaptic protein complexes as a function of the abundance of their constituent proteins: A modeling approach. ''PLoS Comput Biol''. 2022 Jan; '''18''' (1):e1009758
Drug-Drug Interactions Prediction Using Fingerprint Only. Description: Ran, Bing, et al. Drug-Drug Interactions Prediction Using Fingerprint Only. ''Comput Math Methods Med''. 2022; '''2022''': 7818480
Evaluation of machine learning classifiers for predicting essential genes in Mycobacterium tuberculosis strains. Description: Mukul Das, Monish, et al. Evaluation of machine learning classifiers for predicting essential genes in Mycobacterium tuberculosis strains. ''Bioinformation''. 2022; '''18''' (12):1126-1130
Exploring EEG spectral and temporal dynamics underlying a hand grasp movement. Description: Bodda, Sandeep, et al. Exploring EEG spectral and temporal dynamics underlying a hand grasp movement. ''PLoS One''. 2022; '''17''' (6):e0270366
Full scale structural, mechanical and dynamical properties of HIV-1 liposomes. Description: Bryer, Alexander J, et al. Full scale structural, mechanical and dynamical properties of HIV-1 liposomes. ''PLoS Comput Biol''. 2022 Jan; '''18''' (1):e1009781
Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients. Description: Lim, Ashley J W, et al. Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients. ''EBioMedicine''. 2022 Jan; '''75''': 103800
Genetic and phylogenetic analysis of dissimilatory iodate-reducing bacteria identifies potential niches across the world's oceans. Description: Reyes-Umana, Victor, et al. Genetic and phylogenetic analysis of dissimilatory iodate-reducing bacteria identifies potential niches across the world's oceans. ''ISME J''. 2022 Jan; '''16''' (1):38-49
Gut Epithelial Inositol Polyphosphate Multikinase Alleviates Experimental Colitis via Governing Tuft Cell Homeostasis. Description: Park, Seung Eun, et al. Gut Epithelial Inositol Polyphosphate Multikinase Alleviates Experimental Colitis via Governing Tuft Cell Homeostasis. ''Cell Mol Gastroenterol Hepatol''. 2022; '''14''' (6):1235-1256
Identification of the main components of spontaneous speech in primary progressive aphasia and their neural underpinnings using multimodal MRI and FDG-PET imaging. Description: Matias-Guiu, Jordi A, et al. Identification of the main components of spontaneous speech in primary progressive aphasia and their neural underpinnings using multimodal MRI and FDG-PET imaging. ''Cortex''. 2022 Jan; '''146''': 141-160
Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks. Description: Ksibi, Amel, et al. Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks. ''Comput Intell Neurosci''. 2022; '''2022''': 9414567
Integrated fecal microbiome-metabolome signatures reflect stress and serotonin metabolism in irritable bowel syndrome. Description: Mujagic, Zlatan, et al. Integrated fecal microbiome-metabolome signatures reflect stress and serotonin metabolism in irritable bowel syndrome. ''Gut Microbes''. 2022 Jan-Dec; '''14''' (1):2063016
Integrating multiple brain imaging modalities does not boost prediction of subclinical atherosclerosis in midlife adults. Description: Sentis, Amy Isabella, et al. Integrating multiple brain imaging modalities does not boost prediction of subclinical atherosclerosis in midlife adults. ''Neuroimage Clin''. 2022; '''35''': 103134
Interpretable machine learning for high-dimensional trajectories of aging health. Description: Farrell, Spencer, et al. Interpretable machine learning for high-dimensional trajectories of aging health. ''PLoS Comput Biol''. 2022 Jan; '''18''' (1):e1009746
Investigation of measurable residual disease in acute myeloid leukemia by DNA methylation patterns. Description: Bozic, Tanja, et al. Investigation of measurable residual disease in acute myeloid leukemia by DNA methylation patterns. ''Leukemia''. 2022 Jan; '''36''' (1):80-89
Learning-based analysis of amide proton transfer-weighted MRI to identify true progression in glioma patients. Description: Guo, Pengfei, et al. Learning-based analysis of amide proton transfer-weighted MRI to identify true progression in glioma patients. ''Neuroimage Clin''. 2022; '''35''': 103121
Linking meta-omics to the kinetics of denitrification intermediates reveals pH-dependent causes of N2O emissions and nitrite accumulation in soil. Description: Frostegard, Asa, et al. Linking meta-omics to the kinetics of denitrification intermediates reveals pH-dependent causes of N2O emissions and nitrite accumulation in soil. ''ISME J''. 2022 Jan; '''16''' (1):26-37
Longitudinally monitored immune biomarkers predict the timing of COVID-19 outcomes. Description: Lasso, Gorka, et al. Longitudinally monitored immune biomarkers predict the timing of COVID-19 outcomes. ''PLoS Comput Biol''. 2022 Jan; '''18''' (1):e1009778
Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics. Description: Lai, Pin-Kuang, et al. Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics. ''MAbs''. 2022 Jan-Dec; '''14''' (1):2026208
Mapping single-cell data to reference atlases by transfer learning. Description: Lotfollahi, Mohammad, et al. Mapping single-cell data to reference atlases by transfer learning. ''Nat Biotechnol''. 2022 Jan; '''40''' (1):121-130
Measuring Stimulus-Evoked Neurophysiological Differentiation in Distinct Populations of Neurons in Mouse Visual Cortex. Description: Mayner, William G P, et al. Measuring Stimulus-Evoked Neurophysiological Differentiation in Distinct Populations of Neurons in Mouse Visual Cortex. ''eNeuro''. 2022 Jan-Feb; '''9''' (1):
Multi-omic machine learning predictor of breast cancer therapy response. Description: Sammut, Stephen-John, et al. Multi-omic machine learning predictor of breast cancer therapy response. ''Nature''. 2022 Jan; '''601''' (7894):623-629
Multi-step structure-activity relationship screening efficiently predicts diverse PPARgamma antagonists. Description: Koh, Dong-Hee, et al. Multi-step structure-activity relationship screening efficiently predicts diverse PPARgamma antagonists. ''Chemosphere''. 2022 Jan; '''286''' (Pt 1):131540
OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data. Description: Krishnakumar, Raga, et al. OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data. ''PLoS Comput Biol''. 2022 Jan; '''18''' (1):e1009731
Potential drug discovery for COVID-19 treatment targeting Cathepsin L using a deep learning-based strategy. Description: Yang, Wei-Li, et al. Potential drug discovery for COVID-19 treatment targeting Cathepsin L using a deep learning-based strategy. ''Comput Struct Biotechnol J''. 2022; '''20''': 2442-2454
Predicting curve progression for adolescent idiopathic scoliosis using random forest model. Description: Alfraihat, Ausilah, et al. Predicting curve progression for adolescent idiopathic scoliosis using random forest model. ''PLoS One''. 2022; '''17''' (8):e0273002
Predicting demand for long-term care using Japanese healthcare insurance claims data. Description: Sato, Jumpei, et al. Predicting demand for long-term care using Japanese healthcare insurance claims data. ''Environ Health Prev Med''. 2022; '''27''': 42
Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil. Description: Koplewitz, Gal, et al. Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil. ''PLoS Negl Trop Dis''. 2022 Jan; '''16''' (1):e0010071
Predicting the number of days in court cases using artificial intelligence. Description: de Oliveira, Raphael Souza, et al. Predicting the number of days in court cases using artificial intelligence. ''PLoS One''. 2022; '''17''' (5):e0269008
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus. Description: Allen, Angier, et al. Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus. ''BMJ Open Diabetes Res Care''. 2022 Jan; '''10''' (1):
Prediction of single pulmonary nodule growth by CT radiomics and clinical features - a one-year follow-up study. Description: Yang, Ran, et al. Prediction of single pulmonary nodule growth by CT radiomics and clinical features - a one-year follow-up study. ''Front Oncol''. 2022; '''12''': 1034817
Predictors of improvement in quality of life at 12-month follow-up in patients undergoing anterior endoscopic skull base surgery. Description: Buchlak, Quinlan D, et al. Predictors of improvement in quality of life at 12-month follow-up in patients undergoing anterior endoscopic skull base surgery. ''PLoS One''. 2022; '''17''' (7):e0272147
Quantifying congestion with player tracking data in Australian football. Description: Alexander, Jeremy P, et al. Quantifying congestion with player tracking data in Australian football. ''PLoS One''. 2022; '''17''' (8):e0272657
Real-time alerting system for COVID-19 and other stress events using wearable data. Description: Alavi, Arash, et al. Real-time alerting system for COVID-19 and other stress events using wearable data. ''Nat Med''. 2022 Jan; '''28''' (1):175-184
Reduction of therapeutic antibody self-association using yeast-display selections and machine learning. Description: Makowski, Emily K, et al. Reduction of therapeutic antibody self-association using yeast-display selections and machine learning. ''MAbs''. 2022 Jan-Dec; '''14''' (1):2146629
Scalable in vitro production of defined mouse erythroblasts. Description: Francis, Helena S, et al. Scalable in vitro production of defined mouse erythroblasts. ''PLoS One''. 2022; '''17''' (1):e0261950
Serum Antigenome Profiling Reveals Diagnostic Models for Rheumatoid Arthritis. Description: Han, Peng, et al. Serum Antigenome Profiling Reveals Diagnostic Models for Rheumatoid Arthritis. ''Front Immunol''. 2022; '''13''': 884462
Simple Method to Predict Insulin Resistance in Children Aged 6-12 Years by Using Machine Learning. Description: Zhang, Qian, et al. Simple Method to Predict Insulin Resistance in Children Aged 6-12 Years by Using Machine Learning. ''Diabetes Metab Syndr Obes''. 2022; '''15''': 2963-2975
sRNARFTarget: a fast machine-learning-based approach for transcriptome-wide sRNA target prediction. Description: Naskulwar, Kratika, et al. sRNARFTarget: a fast machine-learning-based approach for transcriptome-wide sRNA target prediction. ''RNA Biol''. 2022 Jan; '''19''' (1):44-54
Supervised learning of COVID-19 patients' characteristics to discover symptom patterns and improve patient outcome prediction. Description: Ilbeigipour, Sadegh, et al. Supervised learning of COVID-19 patients' characteristics to discover symptom patterns and improve patient outcome prediction. ''Inform Med Unlocked''. 2022; '''30''': 100933
The Impact of Antiviral Therapy for Hepatitis C Virus on the Survival of Patients after Hepatocellular Carcinoma Treatment. Description: Mori, Yuki, et al. The Impact of Antiviral Therapy for Hepatitis C Virus on the Survival of Patients after Hepatocellular Carcinoma Treatment. ''Intern Med''. 2022; '''61''' (18):2721-2729
The relationship between road traffic collision dynamics and traumatic brain injury pathology. Description: Baker, Claire E, et al. The relationship between road traffic collision dynamics and traumatic brain injury pathology. ''Brain Commun''. 2022; '''4''' (2):fcac033
Using machine learning to predict health-related quality of life outcomes in patients with low grade glioma, meningioma, and acoustic neuroma. Description: Karri, Roshan, et al. Using machine learning to predict health-related quality of life outcomes in patients with low grade glioma, meningioma, and acoustic neuroma. ''PLoS One''. 2022; '''17''' (5):e0267931
Using time series vector features for annual cultivated land mapping: A trial in northern Henan, China. Description: Lu, Xiaoping, et al. Using time series vector features for annual cultivated land mapping: A trial in northern Henan, China. ''PLoS One''. 2022; '''17''' (8):e0272300
Vowel speech recognition from rat electroencephalography using long short-term memory neural network. Description: Ham, Jinsil, et al. Vowel speech recognition from rat electroencephalography using long short-term memory neural network. ''PLoS One''. 2022; '''17''' (6):e0270405
Warfarin sensitivity is associated with increased hospital mortality in critically Ill patients. Description: Ma, Zhiyuan, et al. Warfarin sensitivity is associated with increased hospital mortality in critically Ill patients. ''PLoS One''. 2022; '''17''' (5):e0267966
Weakly Supervised Learning for Poorly Differentiated Adenocarcinoma Classification in GastricEndoscopic Submucosal Dissection Whole Slide Images. Description: Tsuneki, Masayuki, et al. Weakly Supervised Learning for Poorly Differentiated Adenocarcinoma Classification in GastricEndoscopic Submucosal Dissection Whole Slide Images. ''Technol Cancer Res Treat''. 2022 Jan-Dec; '''21''': 15330338221142674
Winter oceanographic conditions predict summer bull kelp canopy cover in northern California. Description: Garcia-Reyes, Marisol, et al. Winter oceanographic conditions predict summer bull kelp canopy cover in northern California. ''PLoS One''. 2022; '''17''' (5):e0267737
Comorbid insomnia among breast cancer survivors and its prediction using machine learning: a nationwide study in Japan. Description: Ueno, Taro, et al. Comorbid insomnia among breast cancer survivors and its prediction using machine learning: a nationwide study in Japan. ''Jpn J Clin Oncol''. 2022 Jan 3; '''52''' (1):39-46
Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling. Description: Kletter, Tobias, et al. Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling. ''J Cell Biol''. 2022 Jan 3; '''221''' (1):
Association Between COVID-19 and Mortality in Hip Fracture Surgery in the National COVID Cohort Collaborative (N3C): A Retrospective Cohort Study. Description: Levitt, Eli B, et al. Association Between COVID-19 and Mortality in Hip Fracture Surgery in the National COVID Cohort Collaborative (N3C): A Retrospective Cohort Study. ''J Am Acad Orthop Surg Glob Res Rev''. 2022 Jan 4; '''6''' (1):
Comparison of Selected Dimensionality Reduction Methods for Detection of Root-Knot Nematode Infestations in Potato Tubers Using Hyperspectral Imaging. Description: Lapajne, Janez, et al. Comparison of Selected Dimensionality Reduction Methods for Detection of Root-Knot Nematode Infestations in Potato Tubers Using Hyperspectral Imaging. ''Sensors (Basel)''. 2022 Jan 4; '''22''' (1):
Dissociation of impulsive traits by subthalamic metabotropic glutamate receptor 4. Description: Piszczek, Lukasz, et al. Dissociation of impulsive traits by subthalamic metabotropic glutamate receptor 4. ''Elife''. 2022 Jan 4; '''11''':
Using machine learning to predict blood culture outcomes in the emergency department: a single-centre, retrospective, observational study. Description: Boerman, Anneroos W, et al. Using machine learning to predict blood culture outcomes in the emergency department: a single-centre, retrospective, observational study. ''BMJ Open''. 2022 Jan 4; '''12''' (1):e053332
Machine Learning Applied to Omics Datasets Predicts Mortality in Patients with Alcoholic Hepatitis. Description: Gao, Bei, et al. Machine Learning Applied to Omics Datasets Predicts Mortality in Patients with Alcoholic Hepatitis. ''Metabolites''. 2022 Jan 5; '''12''' (1):
Machine learning predicts the effect of food on orally administered medicines. Description: Gavins, Francesca K H, et al. Machine learning predicts the effect of food on orally administered medicines. ''Int J Pharm''. 2022 Jan 5; '''611''': 121329
Multi-criteria text mining model for COVID-19 testing reasons and symptoms and temporal predictive model for COVID-19 test results in rural communities. Description: Abu Lekham, Laith, et al. Multi-criteria text mining model for COVID-19 testing reasons and symptoms and temporal predictive model for COVID-19 test results in rural communities. ''Neural Comput Appl''. 2022 Jan 5; 1-14
Identification of acute respiratory distress syndrome subphenotypes de novo using routine clinical data: a retrospective analysis of ARDS clinical trials. Description: Duggal, Abhijit, et al. Identification of acute respiratory distress syndrome subphenotypes de novo using routine clinical data: a retrospective analysis of ARDS clinical trials. ''BMJ Open''. 2022 Jan 6; '''12''' (1):e053297
MANORAA: A machine learning platform to guide protein-ligand design by anchors and influential distances. Description: Tanramluk, Duangrudee, et al. MANORAA: A machine learning platform to guide protein-ligand design by anchors and influential distances. ''Structure''. 2022 Jan 6; '''30''' (1):181-189.e5
Accurate diagnosis of atopic dermatitis by combining transcriptome and microbiota data with supervised machine learning. Description: Jiang, Ziyuan, et al. Accurate diagnosis of atopic dermatitis by combining transcriptome and microbiota data with supervised machine learning. ''Sci Rep''. 2022 Jan 7; '''12''' (1):290
Framework for enhancing the estimation of model parameters for data with a high level of uncertainty. Description: Libotte, Gustavo B, et al. Framework for enhancing the estimation of model parameters for data with a high level of uncertainty. ''Nonlinear Dyn''. 2022 Jan 7; 1-18
Personalizing cholesterol treatment recommendations for primary cardiovascular disease prevention. Description: Sarraju, Ashish, et al. Personalizing cholesterol treatment recommendations for primary cardiovascular disease prevention. ''Sci Rep''. 2022 Jan 7; '''12''' (1):23
Supervised learning model predicts protein adsorption to carbon nanotubes. Description: Ouassil, Nicholas, et al. Supervised learning model predicts protein adsorption to carbon nanotubes. ''Sci Adv''. 2022 Jan 7; '''8''' (1):eabm0898
The effects of stimulus inversion on the neural representations of Chinese character and face recognition. Description: Li, Chun-Hui, et al. The effects of stimulus inversion on the neural representations of Chinese character and face recognition. ''Neuropsychologia''. 2022 Jan 7; '''164''': 108090
Classifying central serous chorioretinopathy subtypes with a deep neural network using optical coherence tomography images: a cross-sectional study. Description: Yoon, Jeewoo, et al. Classifying central serous chorioretinopathy subtypes with a deep neural network using optical coherence tomography images: a cross-sectional study. ''Sci Rep''. 2022 Jan 10; '''12''' (1):422
Non-invasive scoring of cellular atypia in keratinocyte cancers in 3D LC-OCT images using Deep Learning. Description: Fischman, Sebastien, et al. Non-invasive scoring of cellular atypia in keratinocyte cancers in 3D LC-OCT images using Deep Learning. ''Sci Rep''. 2022 Jan 10; '''12''' (1):481
Single-cell chromatin accessibility landscape in kidney identifies additional cell-of-origin in heterogenous papillary renal cell carcinoma. Description: Wang, Qi, et al. Single-cell chromatin accessibility landscape in kidney identifies additional cell-of-origin in heterogenous papillary renal cell carcinoma. ''Nat Commun''. 2022 Jan 10; '''13''' (1):31
Understanding components of mobility during the COVID-19 pandemic. Description: Edsberg Mollgaard, Peter, et al. Understanding components of mobility during the COVID-19 pandemic. ''Philos Trans A Math Phys Eng Sci''. 2022 Jan 10; '''380''' (2214):20210118
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power. Description: McCaw, Zachary R, et al. DeepNull models non-linear covariate effects to improve phenotypic prediction and association power. ''Nat Commun''. 2022 Jan 11; '''13''' (1):241
Disease risk analysis for schizophrenia patients by an automatic AHP framework. Description: Tan, Wenyan, et al. Disease risk analysis for schizophrenia patients by an automatic AHP framework. ''BMC Med Inform Decis Mak''. 2022 Jan 11; '''21''' (Suppl 9):375
Performance of binary prediction models in high-correlation low-dimensional settings: a comparison of methods. Description: Leeuwenberg, Artuur M, et al. Performance of binary prediction models in high-correlation low-dimensional settings: a comparison of methods. ''Diagn Progn Res''. 2022 Jan 11; '''6''' (1):1
Predicting and interpreting large-scale mutagenesis data using analyses of protein stability and conservation. Description: Hoie, Magnus Haraldson, et al. Predicting and interpreting large-scale mutagenesis data using analyses of protein stability and conservation. ''Cell Rep''. 2022 Jan 11; '''38''' (2):110207
Super resolution microscopy reveals how elongating RNA polymerase II and nascent RNA interact with nucleosome clutches. Description: Castells-Garcia, Alvaro, et al. Super resolution microscopy reveals how elongating RNA polymerase II and nascent RNA interact with nucleosome clutches. ''Nucleic Acids Res''. 2022 Jan 11; '''50''' (1):175-190
A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data. Description: Li, Gaoyang, et al. A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data. ''Genome Biol''. 2022 Jan 12; '''23''' (1):20
Machine learning reveals key ion selectivity mechanisms in polymeric membranes with subnanometer pores. Description: Ritt, Cody L, et al. Machine learning reveals key ion selectivity mechanisms in polymeric membranes with subnanometer pores. ''Sci Adv''. 2022 Jan 14; '''8''' (2):eabl5771
Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department. Description: Su, Dai, et al. Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department. ''BMC Med Res Methodol''. 2022 Jan 14; '''22''' (1):18
A cross-study analysis of drug response prediction in cancer cell lines. Description: Xia, Fangfang, et al. A cross-study analysis of drug response prediction in cancer cell lines. ''Brief Bioinform''. 2022 Jan 17; '''23''' (1):
Dissecting and predicting different types of binding sites in nucleic acids based on structural information. Description: Jiang, Zheng, et al. Dissecting and predicting different types of binding sites in nucleic acids based on structural information. ''Brief Bioinform''. 2022 Jan 17; '''23''' (1):
Ensemble modeling with machine learning and deep learning to provide interpretable generalized rules for classifying CNS drugs with high prediction power. Description: Yu, Tzu-Hui, et al. Ensemble modeling with machine learning and deep learning to provide interpretable generalized rules for classifying CNS drugs with high prediction power. ''Brief Bioinform''. 2022 Jan 17; '''23''' (1):
Multimodal deep learning applied to classify healthy and disease states of human microbiome. Description: Lee, Seung Jae, et al. Multimodal deep learning applied to classify healthy and disease states of human microbiome. ''Sci Rep''. 2022 Jan 17; '''12''' (1):824
STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction. Description: Basith, Shaherin, et al. STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction. ''Brief Bioinform''. 2022 Jan 17; '''23''' (1):
*Algorithm-aided engineering of aliphatic halogenase WelO5 for the asymmetric late-stage functionalization of soraphens.** Description: Buchler, Johannes, et al. Algorithm-aided engineering of aliphatic halogenase WelO5* for the asymmetric late-stage functionalization of soraphens. ''Nat Commun''. 2022 Jan 18; '''13''' (1):371
Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk. Description: Shakeri Hossein Abad, Zahra, et al. Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk. ''J Med Internet Res''. 2022 Jan 18; '''24''' (1):e28749
Harnessing Artificial Intelligence to assess the impact of nonpharmaceutical interventions on the second wave of the Coronavirus Disease 2019 pandemic across the world. Description: Tao, Sile, et al. Harnessing Artificial Intelligence to assess the impact of nonpharmaceutical interventions on the second wave of the Coronavirus Disease 2019 pandemic across the world. ''Sci Rep''. 2022 Jan 18; '''12''' (1):944
Noninvasive and Point-of-Care Surface-Enhanced Raman Scattering (SERS)-Based Breathalyzer for Mass Screening of Coronavirus Disease 2019 (COVID-19) under 5 min. Description: Leong, Shi Xuan, et al. Noninvasive and Point-of-Care Surface-Enhanced Raman Scattering (SERS)-Based Breathalyzer for Mass Screening of Coronavirus Disease 2019 (COVID-19) under 5 min. ''ACS Nano''. 2022 Jan 18;
The Metabolomic Effects of Tripeptide Gut Hormone Infusion Compared to Roux-en-Y Gastric Bypass and Caloric Restriction. Description: Jones, Ben, et al. The Metabolomic Effects of Tripeptide Gut Hormone Infusion Compared to Roux-en-Y Gastric Bypass and Caloric Restriction. ''J Clin Endocrinol Metab''. 2022 Jan 18; '''107''' (2):e767-e782
Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning. Description: de Bel, Thomas, et al. Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning. ''NPJ Breast Cancer''. 2022 Jan 19; '''8''' (1):13
Most primary olfactory neurons have individually neutral effects on behavior. Description: Tumkaya, Tayfun, et al. Most primary olfactory neurons have individually neutral effects on behavior. ''Elife''. 2022 Jan 19; '''11''':
Questionnaire-based survey on the prevalence of medication-overuse headache in Japanese one city-Itoigawa study. Description: Katsuki, Masahito, et al. Questionnaire-based survey on the prevalence of medication-overuse headache in Japanese one city-Itoigawa study. ''Neurol Sci''. 2022 Jan 19;
Automated annotation of birdsong with a neural network that segments spectrograms. Description: Cohen, Yarden, et al. Automated annotation of birdsong with a neural network that segments spectrograms. ''Elife''. 2022 Jan 20; '''11''':
Interfamily grafting capacity of petunia. Description: Kurotani, Ken-Ichi, et al. Interfamily grafting capacity of petunia. ''Hortic Res''. 2022 Jan 20;
Parallel analysis of transcription, integration, and sequence of single HIV-1 proviruses. Description: Einkauf, Kevin B, et al. Parallel analysis of transcription, integration, and sequence of single HIV-1 proviruses. ''Cell''. 2022 Jan 20; '''185''' (2):266-282.e15
Synaptic connectivity to L2/3 of primary visual cortex measured by two-photon optogenetic stimulation. Description: Hage, Travis A, et al. Synaptic connectivity to L2/3 of primary visual cortex measured by two-photon optogenetic stimulation. ''Elife''. 2022 Jan 21; '''11''':
Acoustic and Facial Features From Clinical Interviews for Machine Learning-Based Psychiatric Diagnosis: Algorithm Development. Description: Birnbaum, Michael L, et al. Acoustic and Facial Features From Clinical Interviews for Machine Learning-Based Psychiatric Diagnosis: Algorithm Development. ''JMIR Ment Health''. 2022 Jan 24; '''9''' (1):e24699
Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein finds additional vaccine-induced epitopes beyond those for mild infection. Description: Garrett, Meghan E, et al. Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein finds additional vaccine-induced epitopes beyond those for mild infection. ''Elife''. 2022 Jan 24; '''11''':
Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study. Description: Yu, Jia-Ruei, et al. Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study. ''J Med Internet Res''. 2022 Jan 25; '''24''' (1):e28036
Narratives imagined in response to instrumental music reveal culture-bounded intersubjectivity. Description: Margulis, Elizabeth H, et al. Narratives imagined in response to instrumental music reveal culture-bounded intersubjectivity. ''Proc Natl Acad Sci U S A''. 2022 Jan 25; '''119''' (4):
Serological Markers of SARS-CoV-2 Reinfection. Description: Siddiqui, Sameed M, et al. Serological Markers of SARS-CoV-2 Reinfection. ''mBio''. 2022 Jan 25; e0214121
Systematic decomposition of sequence determinants governing CRISPR/Cas9 specificity. Description: Fu, Rongjie, et al. Systematic decomposition of sequence determinants governing CRISPR/Cas9 specificity. ''Nat Commun''. 2022 Jan 25; '''13''' (1):474
Functional Effects of Cardiomyocyte Injury in COVID-19. Description: Siddiq, Mustafa M, et al. Functional Effects of Cardiomyocyte Injury in COVID-19. ''J Virol''. 2022 Jan 26; '''96''' (2):e0106321
Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography. Description: Mueller, Simon, et al. Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography. ''Sci Rep''. 2022 Jan 26; '''12''' (1):1389
Evaluation of the Need for Intensive Care in Children With Pneumonia: Machine Learning Approach. Description: Liu, Yun-Chung, et al. Evaluation of the Need for Intensive Care in Children With Pneumonia: Machine Learning Approach. ''JMIR Med Inform''. 2022 Jan 27; '''10''' (1):e28934
Landmark-modulated directional coding in postrhinal cortex. Description: LaChance, Patrick A, et al. Landmark-modulated directional coding in postrhinal cortex. ''Sci Adv''. 2022 Jan 28; '''8''' (4):eabg8404
Unexplored Antarctic meteorite collection sites revealed through machine learning. Description: Tollenaar, Veronica, et al. Unexplored Antarctic meteorite collection sites revealed through machine learning. ''Sci Adv''. 2022 Jan 28; '''8''' (4):eabj8138
Identification of parameters and formulation of a statistical and machine learning model to identify Babesia canis infections in dogs using available ADVIA hematology analyzer data. Description: Pijnacker, Tera, et al. Identification of parameters and formulation of a statistical and machine learning model to identify Babesia canis infections in dogs using available ADVIA hematology analyzer data. ''Parasit Vectors''. 2022 Jan 29; '''15''' (1):41
MORPHIOUS: an unsupervised machine learning workflow to detect the activation of microglia and astrocytes. Description: Silburt, Joseph, et al. MORPHIOUS: an unsupervised machine learning workflow to detect the activation of microglia and astrocytes. ''J Neuroinflammation''. 2022 Jan 29; '''19''' (1):24
Health Care Students' Perspectives on Artificial Intelligence: Countrywide Survey in Canada. Description: Teng, Minnie, et al. Health Care Students' Perspectives on Artificial Intelligence: Countrywide Survey in Canada. ''JMIR Med Educ''. 2022 Jan 31; '''8''' (1):e33390
CellRank for directed single-cell fate mapping. Description: Lange, Marius, et al. CellRank for directed single-cell fate mapping. ''Nat Methods''. 2022 Feb; '''19''' (2):159-170
Charting brain growth and aging at high spatial precision. Description: Rutherford, Saige, et al. Charting brain growth and aging at high spatial precision. ''Elife''. 2022 Feb 1; '''11''':
Early prediction of preeclampsia in pregnancy with cell-free RNA. Description: Moufarrej, Mira N, et al. Early prediction of preeclampsia in pregnancy with cell-free RNA. ''Nature''. 2022 Feb; '''602''' (7898):689-694
Elucidating multi-input processing 3-node gene regulatory network topologies capable of generating striped gene expression patterns. Description: Arboleda-Rivera, Juan Camilo, et al. Elucidating multi-input processing 3-node gene regulatory network topologies capable of generating striped gene expression patterns. ''PLoS Comput Biol''. 2022 Feb; '''18''' (2):e1009704
Evaluating supervised and unsupervised background noise correction in human gut microbiome data. Description: Briscoe, Leah, et al. Evaluating supervised and unsupervised background noise correction in human gut microbiome data. ''PLoS Comput Biol''. 2022 Feb; '''18''' (2):e1009838
Heterogenous impairment of alpha cell function in type 2 diabetes is linked to cell maturation state. Description: Dai, Xiao-Qing, et al. Heterogenous impairment of alpha cell function in type 2 diabetes is linked to cell maturation state. ''Cell Metab''. 2022 Feb 1; '''34''' (2):256-268.e5
Inference via sparse coding in a hierarchical vision model. Description: Bowren, Joshua, et al. Inference via sparse coding in a hierarchical vision model. ''J Vis''. 2022 Feb 1; '''22''' (2):19
Machine learning modeling of family wide enzyme-substrate specificity screens. Description: Goldman, Samuel, et al. Machine learning modeling of family wide enzyme-substrate specificity screens. ''PLoS Comput Biol''. 2022 Feb; '''18''' (2):e1009853
Multiplexed nanomaterial-assisted laser desorption/ionization for pan-cancer diagnosis and classification. Description: Zhang, Hua, et al. Multiplexed nanomaterial-assisted laser desorption/ionization for pan-cancer diagnosis and classification. ''Nat Commun''. 2022 Feb 1; '''13''' (1):617
MUON: multimodal omics analysis framework. Description: Bredikhin, Danila, et al. MUON: multimodal omics analysis framework. ''Genome Biol''. 2022 Feb 1; '''23''' (1):42
Prediction of future imagery of lung nodule as growth modeling with follow-up computed tomography scans using deep learning: a retrospective cohort study. Description: Tao, Guangyu, et al. Prediction of future imagery of lung nodule as growth modeling with follow-up computed tomography scans using deep learning: a retrospective cohort study. ''Transl Lung Cancer Res''. 2022 Feb; '''11''' (2):250-262
Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study. Description: Schilling, Maximilian, et al. Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study. ''JMIR Med Inform''. 2022 Feb 1; '''10''' (2):e29978
Risk Stratifying Indeterminate Thyroid Nodules With Machine Learning. Description: Luong, George, et al. Risk Stratifying Indeterminate Thyroid Nodules With Machine Learning. ''J Surg Res''. 2022 Feb; '''270''': 214-220
STopTox: An in Silico Alternative to Animal Testing for Acute Systemic and Topical Toxicity. Description: Borba, Joyce V B, et al. STopTox: An in Silico Alternative to Animal Testing for Acute Systemic and Topical Toxicity. ''Environ Health Perspect''. 2022 Feb; '''130''' (2):27012
Structure-function relationships of the disease-linked A218T oxytocin receptor variant. Description: Meyer, Magdalena, et al. Structure-function relationships of the disease-linked A218T oxytocin receptor variant. ''Mol Psychiatry''. 2022 Feb; '''27''' (2):907-917
Subtyping non-small cell lung cancer by histology-guided spatial metabolomics. Description: Neumann, Judith Martha, et al. Subtyping non-small cell lung cancer by histology-guided spatial metabolomics. ''J Cancer Res Clin Oncol''. 2022 Feb; '''148''' (2):351-360
Toroidal topology of population activity in grid cells. Description: Gardner, Richard J, et al. Toroidal topology of population activity in grid cells. ''Nature''. 2022 Feb; '''602''' (7895):123-128
Towards the prediction of non-peptidic epitopes. Description: Zierep, Paul F, et al. Towards the prediction of non-peptidic epitopes. ''PLoS Comput Biol''. 2022 Feb; '''18''' (2):e1009151
Unbiased plasma proteomics discovery of biomarkers for improved detection of subclinical atherosclerosis. Description: Nunez, Estefania, et al. Unbiased plasma proteomics discovery of biomarkers for improved detection of subclinical atherosclerosis. ''EBioMedicine''. 2022 Feb; '''76''': 103874
Influenza's plummeting during the COVID-19 pandemic: The roles of mask-wearing, mobility change, and SARS-CoV-2 interference. Description: Han, Shasha, et al. Influenza's plummeting during the COVID-19 pandemic: The roles of mask-wearing, mobility change, and SARS-CoV-2 interference. ''Engineering (Beijing)''. 2022 Feb 2;
Multisensory coding of angular head velocity in the retrosplenial cortex. Description: Keshavarzi, Sepiedeh, et al. Multisensory coding of angular head velocity in the retrosplenial cortex. ''Neuron''. 2022 Feb 2; '''110''' (3):532-543.e9
Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes. Description: Ramou, Efthymia, et al. Nanoscale Events on Cyanobiphenyl-Based Self-Assembled Droplets Triggered by Gas Analytes. ''ACS Appl Mater Interfaces''. 2022 Feb 2; '''14''' (4):6261-6273
Classification of subtypes including LCNEC in lung cancer biopsy slides using convolutional neural network from scratch. Description: Yang, Jung Wook, et al. Classification of subtypes including LCNEC in lung cancer biopsy slides using convolutional neural network from scratch. ''Sci Rep''. 2022 Feb 3; '''12''' (1):1830
Modeling temporal and hormonal regulation of plant transcriptional response to wounding. Description: Moore, Bethany M, et al. Modeling temporal and hormonal regulation of plant transcriptional response to wounding. ''Plant Cell''. 2022 Feb 3; '''34''' (2):867-888
Plasma tRNA-derived small RNAs signature as a predictive and prognostic biomarker in lung adenocarcinoma. Description: Wang, Jun, et al. Plasma tRNA-derived small RNAs signature as a predictive and prognostic biomarker in lung adenocarcinoma. ''Cancer Cell Int''. 2022 Feb 3; '''22''' (1):59
Probabilistic spatial analysis in quantitative microscopy with uncertainty-aware cell detection using deep Bayesian regression. Description: Gomariz, Alvaro, et al. Probabilistic spatial analysis in quantitative microscopy with uncertainty-aware cell detection using deep Bayesian regression. ''Sci Adv''. 2022 Feb 4; '''8''' (5):eabi8295
Class imbalance learning with Bayesian optimization applied in drug discovery. Description: Guan, Shenmin, et al. Class imbalance learning with Bayesian optimization applied in drug discovery. ''Sci Rep''. 2022 Feb 8; '''12''' (1):2069
In vitro cell cycle oscillations exhibit a robust and hysteretic response to changes in cytoplasmic density. Description: Jin, Minjun, et al. In vitro cell cycle oscillations exhibit a robust and hysteretic response to changes in cytoplasmic density. ''Proc Natl Acad Sci U S A''. 2022 Feb 8; '''119''' (6):
Predicting Antifouling Activity and Acetylcholinesterase Inhibition of Marine-Derived Compounds Using a Computer-Aided Drug Design Approach. Description: Gaudencio, Susana P, et al. Predicting Antifouling Activity and Acetylcholinesterase Inhibition of Marine-Derived Compounds Using a Computer-Aided Drug Design Approach. ''Mar Drugs''. 2022 Feb 8; '''20''' (2):
Taking a machine learning approach to optimize prediction of vaccine hesitancy in high income countries. Description: Lincoln, Tania M, et al. Taking a machine learning approach to optimize prediction of vaccine hesitancy in high income countries. ''Sci Rep''. 2022 Feb 8; '''12''' (1):2055
Youth well-being predicts later academic success. Description: Cardenas, Diana, et al. Youth well-being predicts later academic success. ''Sci Rep''. 2022 Feb 8; '''12''' (1):2134
Enhanced intestinal protein fermentation in schizophrenia. Description: Liang, Ying, et al. Enhanced intestinal protein fermentation in schizophrenia. ''BMC Med''. 2022 Feb 9; '''20''' (1):67
SuperDendrix algorithm integrates genetic dependencies and genomic alterations across pathways and cancer types. Description: Park, Tae Yoon, et al. SuperDendrix algorithm integrates genetic dependencies and genomic alterations across pathways and cancer types. ''Cell Genom''. 2022 Feb 9; '''2''' (2):
UK daily meteorology, air quality, and pollen measurements for 2016-2019, with estimates for missing data. Description: Reani, Manuele, et al. UK daily meteorology, air quality, and pollen measurements for 2016-2019, with estimates for missing data. ''Sci Data''. 2022 Feb 9; '''9''' (1):43
Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES. Description: Oh, Taeseob, et al. Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES. ''Sci Rep''. 2022 Feb 10; '''12''' (1):2250
Coordinated hippocampal-thalamic-cortical communication crucial for engram dynamics underneath systems consolidation. Description: Tome, Douglas Feitosa, et al. Coordinated hippocampal-thalamic-cortical communication crucial for engram dynamics underneath systems consolidation. ''Nat Commun''. 2022 Feb 11; '''13''' (1):840
Medically-oriented design for explainable AI for stress prediction from physiological measurements. Description: Jaber, Dalia, et al. Medically-oriented design for explainable AI for stress prediction from physiological measurements. ''BMC Med Inform Decis Mak''. 2022 Feb 11; '''22''' (1):38
Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest). Description: Zhang, Luming, et al. Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest). ''BMC Emerg Med''. 2022 Feb 11; '''22''' (1):26
Prognostic Value of Machine Learning in Patients with Acute Myocardial Infarction. Description: Xiao, Changhu, et al. Prognostic Value of Machine Learning in Patients with Acute Myocardial Infarction. ''J Cardiovasc Dev Dis''. 2022 Feb 11; '''9''' (2):
Gene-Interaction-Sensitive enrichment analysis in congenital heart disease. Description: Woodward, Alexa A, et al. Gene-Interaction-Sensitive enrichment analysis in congenital heart disease. ''BioData Min''. 2022 Feb 12; '''15''' (1):4
Screening of antibacterial compounds with novel structure from the FDA approved drugs using machine learning methods. Description: Li, Wen-Xing, et al. Screening of antibacterial compounds with novel structure from the FDA approved drugs using machine learning methods. ''Aging (Albany NY)''. 2022 Feb 12; '''14''' (3):1448-1472
Optimal Transport improves cell-cell similarity inference in single-cell omics data. Description: Huizing, Geert-Jan, et al. Optimal Transport improves cell-cell similarity inference in single-cell omics data. ''Bioinformatics''. 2022 Feb 14;
Whole-brain opto-fMRI map of mouse VTA dopaminergic activation reflects structural projections with small but significant deviations. Description: Ioanas, Horea-Ioan, et al. Whole-brain opto-fMRI map of mouse VTA dopaminergic activation reflects structural projections with small but significant deviations. ''Transl Psychiatry''. 2022 Feb 14; '''12''' (1):60
Cell specific peripheral immune responses predict survival in critical COVID-19 patients. Description: Amrute, Junedh M, et al. Cell specific peripheral immune responses predict survival in critical COVID-19 patients. ''Nat Commun''. 2022 Feb 15; '''13''' (1):882
Investigating brain structural maturation in children and adolescents born very preterm using the brain age framework. Description: Kelly, Claire, et al. Investigating brain structural maturation in children and adolescents born very preterm using the brain age framework. ''Neuroimage''. 2022 Feb 15; '''247''': 118828
Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability. Description: Iemi, Luca, et al. Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability. ''Neuroimage''. 2022 Feb 15; '''247''': 118746
Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study. Description: Tsai, Chan-Hen, et al. Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study. ''JMIR Med Inform''. 2022 Feb 15; '''10''' (2):e33063
Reduced antigenicity of Omicron lowers host serologic response. Description: Tubiana, Jerome, et al. Reduced antigenicity of Omicron lowers host serologic response. ''bioRxiv''. 2022 Feb 15;
Brains and algorithms partially converge in natural language processing. Description: Caucheteux, Charlotte, et al. Brains and algorithms partially converge in natural language processing. ''Commun Biol''. 2022 Feb 16; '''5''' (1):134
Direct Cochlear Recordings in Humans Show a Theta Rhythmic Modulation of Auditory Nerve Activity by Selective Attention. Description: Gehmacher, Quirin, et al. Direct Cochlear Recordings in Humans Show a Theta Rhythmic Modulation of Auditory Nerve Activity by Selective Attention. ''J Neurosci''. 2022 Feb 16; '''42''' (7):1343-1351
Topological data analysis gives two folding paths in HP35(nle-nle), double mutant of villin headpiece subdomain. Description: Ichinomiya, Takashi. Topological data analysis gives two folding paths in HP35(nle-nle), double mutant of villin headpiece subdomain. ''Sci Rep''. 2022 Feb 17; '''12''' (1):2719
Evaluation of Natural Language Processing for the Identification of Crohn Disease-Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION-CD Project. Description: Montoto, Carmen, et al. Evaluation of Natural Language Processing for the Identification of Crohn Disease-Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION-CD Project. ''JMIR Med Inform''. 2022 Feb 18; '''10''' (2):e30345
Haplotype analyses reveal novel insights into tomato history and domestication driven by long-distance migrations and latitudinal adaptations. Description: Blanca, Jose, et al. Haplotype analyses reveal novel insights into tomato history and domestication driven by long-distance migrations and latitudinal adaptations. ''Hortic Res''. 2022 Feb 19;
Systematic comparison of published host gene expression signatures for bacterial/viral discrimination. Description: Bodkin, Nicholas, et al. Systematic comparison of published host gene expression signatures for bacterial/viral discrimination. ''Genome Med''. 2022 Feb 21; '''14''' (1):18
Activity-dependent modulation of NMDA receptors by endogenous zinc shapes dendritic function in cortical neurons. Description: Morabito, Annunziato, et al. Activity-dependent modulation of NMDA receptors by endogenous zinc shapes dendritic function in cortical neurons. ''Cell Rep''. 2022 Feb 22; '''38''' (8):110415
Epistatic genetic interactions govern morphogenesis during sexual reproduction and infection in a global human fungal pathogen. Description: Sun, Sheng, et al. Epistatic genetic interactions govern morphogenesis during sexual reproduction and infection in a global human fungal pathogen. ''Proc Natl Acad Sci U S A''. 2022 Feb 22; '''119''' (8):
Microbial Functional Diversity Correlates with Species Diversity along a Temperature Gradient. Description: Ruhl, Ilona A, et al. Microbial Functional Diversity Correlates with Species Diversity along a Temperature Gradient. ''mSystems''. 2022 Feb 22; '''7''' (1):e0099121
Polymicrobial Aggregates in Human Saliva Build the Oral Biofilm. Description: Simon-Soro, Aurea, et al. Polymicrobial Aggregates in Human Saliva Build the Oral Biofilm. ''mBio''. 2022 Feb 22; '''13''' (1):e0013122
Predictors of adverse events after percutaneous pedicle screws fixation in patients with single-segment thoracolumbar burst fractures. Description: Dong, Shengtao, et al. Predictors of adverse events after percutaneous pedicle screws fixation in patients with single-segment thoracolumbar burst fractures. ''BMC Musculoskelet Disord''. 2022 Feb 22; '''23''' (1):168
Serum Metabolic Fingerprints on Bowl-Shaped Submicroreactor Chip for Chemotherapy Monitoring. Description: Yin, Xia, et al. Serum Metabolic Fingerprints on Bowl-Shaped Submicroreactor Chip for Chemotherapy Monitoring. ''ACS Nano''. 2022 Feb 22; '''16''' (2):2852-2865
Variational autoencoding of gene landscapes during mouse CNS development uncovers layered roles of Polycomb Repressor Complex 2. Description: Mora, Ariane, et al. Variational autoencoding of gene landscapes during mouse CNS development uncovers layered roles of Polycomb Repressor Complex 2. ''Nucleic Acids Res''. 2022 Feb 22; '''50''' (3):1280-1296
Diagnosing pleural effusions using mass spectrometry-based multiplexed targeted proteomics quantitating mid- to high-abundance markers of cancer, infection/inflammation and tuberculosis. Description: Robak, Aleksandra, et al. Diagnosing pleural effusions using mass spectrometry-based multiplexed targeted proteomics quantitating mid- to high-abundance markers of cancer, infection/inflammation and tuberculosis. ''Sci Rep''. 2022 Feb 23; '''12''' (1):3054
Discrimination between Carbapenem-Resistant and Carbapenem-Sensitive Klebsiella pneumoniae Strains through Computational Analysis of Surface-Enhanced Raman Spectra: a Pilot Study. Description: Liu, Wei, et al. Discrimination between Carbapenem-Resistant and Carbapenem-Sensitive Klebsiella pneumoniae Strains through Computational Analysis of Surface-Enhanced Raman Spectra: a Pilot Study. ''Microbiol Spectr''. 2022 Feb 23; '''10''' (1):e0240921
Identification of electroporation sites in the complex lipid organization of the plasma membrane. Description: Rems, Lea, et al. Identification of electroporation sites in the complex lipid organization of the plasma membrane. ''Elife''. 2022 Feb 23; '''11''':
Meta-analysis defines predominant shared microbial responses in various diseases and a specific inflammatory bowel disease signal. Description: Abbas-Egbariya, Haya, et al. Meta-analysis defines predominant shared microbial responses in various diseases and a specific inflammatory bowel disease signal. ''Genome Biol''. 2022 Feb 23; '''23''' (1):61
Models to predict the short-term survival of acute-on-chronic liver failure patients following liver transplantation. Description: Yang, Min, et al. Models to predict the short-term survival of acute-on-chronic liver failure patients following liver transplantation. ''BMC Gastroenterol''. 2022 Feb 23; '''22''' (1):80
Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning. Description: Mellema, Cooper J, et al. Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning. ''Sci Rep''. 2022 Feb 23; '''12''' (1):3057
Evaluation of the dependence of radiomic features on the machine learning model. Description: Demircioglu, Aydin. Evaluation of the dependence of radiomic features on the machine learning model. ''Insights Imaging''. 2022 Feb 24; '''13''' (1):28
Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm. Description: Schwartz, Jessica L, et al. Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm. ''JMIR Med Inform''. 2022 Feb 24; '''10''' (2):e29803
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study. Description: Benitez-Andrades, Jose Alberto, et al. Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study. ''JMIR Med Inform''. 2022 Feb 24; '''10''' (2):e34492
Extraction of Premature Newborns' Spontaneous Cries in the Real Context of Neonatal Intensive Care Units. Description: Cabon, Sandie, et al. Extraction of Premature Newborns' Spontaneous Cries in the Real Context of Neonatal Intensive Care Units. ''Sensors (Basel)''. 2022 Feb 25; '''22''' (5):
Mechanism and performance relevance of nanomorphogenesis in polyamide films revealed by quantitative 3D imaging and machine learning. Description: An, Hyosung, et al. Mechanism and performance relevance of nanomorphogenesis in polyamide films revealed by quantitative 3D imaging and machine learning. ''Sci Adv''. 2022 Feb 25; '''8''' (8):eabk1888
Real-Time Search-Assisted Acquisition on a Tribrid Mass Spectrometer Improves Coverage in Multiplexed Single-Cell Proteomics. Description: Furtwangler, Benjamin, et al. Real-Time Search-Assisted Acquisition on a Tribrid Mass Spectrometer Improves Coverage in Multiplexed Single-Cell Proteomics. ''Mol Cell Proteomics''. 2022 Feb 25; '''21''' (4):100219
Single-cell spatial architectures associated with clinical outcome in head and neck squamous cell carcinoma. Description: Blise, Katie E, et al. Single-cell spatial architectures associated with clinical outcome in head and neck squamous cell carcinoma. ''NPJ Precis Oncol''. 2022 Feb 25; '''6''' (1):10
Winter wheat yield prediction using convolutional neural networks from environmental and phenological data. Description: Srivastava, Amit Kumar, et al. Winter wheat yield prediction using convolutional neural networks from environmental and phenological data. ''Sci Rep''. 2022 Feb 25; '''12''' (1):3215
Neuromorphic Architecture Accelerated Automated Seizure Detection in Multi-Channel Scalp EEG. Description: Ambati, Ravi, et al. Neuromorphic Architecture Accelerated Automated Seizure Detection in Multi-Channel Scalp EEG. ''Sensors (Basel)''. 2022 Feb 26; '''22''' (5):
A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants. Description: Shahan, Rachel, et al. A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants. ''Dev Cell''. 2022 Feb 28; '''57''' (4):543-560.e9
Data analytics and artificial intelligence in predicting length of stay, readmission, and mortality: a population-based study of surgical management of colorectal cancer. Description: Masum, Shamsul, et al. Data analytics and artificial intelligence in predicting length of stay, readmission, and mortality: a population-based study of surgical management of colorectal cancer. ''Discov Oncol''. 2022 Feb 28; '''13''' (1):11
Population-scale dietary interests during the COVID-19 pandemic. Description: Gligoric, Kristina, et al. Population-scale dietary interests during the COVID-19 pandemic. ''Nat Commun''. 2022 Feb 28; '''13''' (1):1073
Accounting for B-cell Behavior and Sampling Bias Predicts Anti-PD-L1 Response in Bladder Cancer. Description: Dyugay, Ilya A, et al. Accounting for B-cell Behavior and Sampling Bias Predicts Anti-PD-L1 Response in Bladder Cancer. ''Cancer Immunol Res''. 2022 Mar 1; '''10''' (3):343-353
An active learning approach for clustering single-cell RNA-seq data. Description: Lin, Xiang, et al. An active learning approach for clustering single-cell RNA-seq data. ''Lab Invest''. 2022 Mar; '''102''' (3):227-235
Application of deep learning algorithm on whole genome sequencing data uncovers structural variants associated with multiple mental disorders in African American patients. Description: Liu, Yichuan, et al. Application of deep learning algorithm on whole genome sequencing data uncovers structural variants associated with multiple mental disorders in African American patients. ''Mol Psychiatry''. 2022 Mar; '''27''' (3):1469-1478
A random forest model for forecasting regional COVID-19 cases utilizing reproduction number estimates and demographic data. Description: Galasso, Joseph, et al. A random forest model for forecasting regional COVID-19 cases utilizing reproduction number estimates and demographic data. ''Chaos Solitons Fractals''. 2022 Mar; '''156''': 111779
Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements. Description: Ruhling, Sebastian, et al. Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements. ''Eur Radiol''. 2022 Mar; '''32''' (3):1465-1474
Catchment scale runoff time-series generation and validation using statistical models for the Continental United States. Description: Patton, Douglas, et al. Catchment scale runoff time-series generation and validation using statistical models for the Continental United States. ''Environ Model Softw''. 2022 Mar 1; '''149''': 1-15
Design of SARS-CoV-2 Mpro, PLpro dual-target inhibitors based on deep reinforcement learning and virtual screening. Description: Zhang, Li-Chuan, et al. Design of SARS-CoV-2 Mpro, PLpro dual-target inhibitors based on deep reinforcement learning and virtual screening. ''Future Med Chem''. 2022 Mar; '''14''' (6):393-405
Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study. Description: Zhang, Bo, et al. Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study. ''J Med Internet Res''. 2022 Mar 1; '''24''' (3):e27934
Evaluating the dose, indication and agreement with guidelines of antimicrobial use in companion animal practice with natural language processing. Description: Hur, Brian, et al. Evaluating the dose, indication and agreement with guidelines of antimicrobial use in companion animal practice with natural language processing. ''JAC Antimicrob Resist''. 2022 Mar; '''4''' (1):dlab194
Integrative Predictive Models of Computed Tomography Texture Parameters and Hematological Parameters for Lymph Node Metastasis in Lung Adenocarcinomas. Description: Chen, Wenping, et al. Integrative Predictive Models of Computed Tomography Texture Parameters and Hematological Parameters for Lymph Node Metastasis in Lung Adenocarcinomas. ''J Comput Assist Tomogr''. 2022 Mar-Apr 01; '''46''' (2):315-324
Is it left or is it right? A classification approach for investigating hemispheric differences in low and high dimensionality. Description: Friedrich, Patrick, et al. Is it left or is it right? A classification approach for investigating hemispheric differences in low and high dimensionality. ''Brain Struct Funct''. 2022 Mar; '''227''' (2):425-440
Plant-water sensitivity regulates wildfire vulnerability. Description: Rao, Krishna, et al. Plant-water sensitivity regulates wildfire vulnerability. ''Nat Ecol Evol''. 2022 Mar; '''6''' (3):332-339
Predicting Probability of Response to Tumor Necrosis Factor Inhibitors for Individual Patients With Ankylosing Spondylitis. Description: Wang, Runsheng, et al. Predicting Probability of Response to Tumor Necrosis Factor Inhibitors for Individual Patients With Ankylosing Spondylitis. ''JAMA Netw Open''. 2022 Mar 1; '''5''' (3):e222312
Predictive modeling of groundwater nitrate pollution and evaluating its main impact factors using random forest. Description: He, Song, et al. Predictive modeling of groundwater nitrate pollution and evaluating its main impact factors using random forest. ''Chemosphere''. 2022 Mar; '''290''': 133388
RosettaSurf-A surface-centric computational design approach. Description: Scheck, Andreas, et al. RosettaSurf-A surface-centric computational design approach. ''PLoS Comput Biol''. 2022 Mar; '''18''' (3):e1009178
Selective requirement for polycomb repressor complex 2 in the generation of specific hypothalamic neuronal subtypes. Description: Yaghmaeian Salmani, Behzad, et al. Selective requirement for polycomb repressor complex 2 in the generation of specific hypothalamic neuronal subtypes. ''Development''. 2022 Mar 1; '''149''' (5):
Sequence determinants of human gene regulatory elements. Description: Sahu, Biswajyoti, et al. Sequence determinants of human gene regulatory elements. ''Nat Genet''. 2022 Mar; '''54''' (3):283-294
Support Vector Machine-based Spontaneous Intracranial Hypotension Detection on Brain MRI. Description: Arnold, Philipp G, et al. Support Vector Machine-based Spontaneous Intracranial Hypotension Detection on Brain MRI. ''Clin Neuroradiol''. 2022 Mar; '''32''' (1):225-230
Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer. Description: Wong, Alexander, et al. Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer. ''Sci Rep''. 2022 Mar 1; '''12''' (1):3376
Universal encoding of pan-cancer histology by deep texture representations. Description: Komura, Daisuke, et al. Universal encoding of pan-cancer histology by deep texture representations. ''Cell Rep''. 2022 Mar 1; '''38''' (9):110424
Wearable Sensor-Based Human Activity Recognition with Transformer Model. Description: Dirgova Luptakova, Iveta, et al. Wearable Sensor-Based Human Activity Recognition with Transformer Model. ''Sensors (Basel)''. 2022 Mar 1; '''22''' (5):
Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming. Description: Peng, Zixin, et al. Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming. ''PLoS Comput Biol''. 2022 Mar; '''18''' (3):e1010018
A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network. Description: Albattah, Albatul, et al. A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network. ''Sensors (Basel)''. 2022 Mar 2; '''22''' (5):
Artificial intelligence to detect malignant eyelid tumors from photographic images. Description: Li, Zhongwen, et al. Artificial intelligence to detect malignant eyelid tumors from photographic images. ''NPJ Digit Med''. 2022 Mar 2; '''5''' (1):23
The current state of knowledge on imaging informatics: a survey among Spanish radiologists. Description: Eiroa, Daniel, et al. The current state of knowledge on imaging informatics: a survey among Spanish radiologists. ''Insights Imaging''. 2022 Mar 2; '''13''' (1):34
MBNL1 drives dynamic transitions between fibroblasts and myofibroblasts in cardiac wound healing. Description: Bugg, Darrian, et al. MBNL1 drives dynamic transitions between fibroblasts and myofibroblasts in cardiac wound healing. ''Cell Stem Cell''. 2022 Mar 3; '''29''' (3):419-433.e10
Host-microbiome protein-protein interactions capture disease-relevant pathways. Description: Zhou, Hao, et al. Host-microbiome protein-protein interactions capture disease-relevant pathways. ''Genome Biol''. 2022 Mar 4; '''23''' (1):72
Simultaneous dissection of grain carotenoid levels and kernel color in biparental maize populations with yellow-to-orange grain. Description: LaPorte, Mary-Francis, et al. Simultaneous dissection of grain carotenoid levels and kernel color in biparental maize populations with yellow-to-orange grain. ''G3 (Bethesda)''. 2022 Mar 4; '''12''' (3):
Analysis of Job Failure and Prediction Model for Cloud Computing Using Machine Learning. Description: Jassas, Mohammad S, et al. Analysis of Job Failure and Prediction Model for Cloud Computing Using Machine Learning. ''Sensors (Basel)''. 2022 Mar 5; '''22''' (5):
Protocol variations in run-on transcription dataset preparation produce detectable signatures in sequencing libraries. Description: Hunter, Samuel, et al. Protocol variations in run-on transcription dataset preparation produce detectable signatures in sequencing libraries. ''BMC Genomics''. 2022 Mar 7; '''23''' (1):187
Approach to Study pH-Dependent Protein Association Using Constant-pH Molecular Dynamics: Application to the Dimerization of beta-Lactoglobulin. Description: da Rocha, Lucie, et al. Approach to Study pH-Dependent Protein Association Using Constant-pH Molecular Dynamics: Application to the Dimerization of beta-Lactoglobulin. ''J Chem Theory Comput''. 2022 Mar 8; '''18''' (3):1982-2001
Deriving waveform parameters from calcium transients in human iPSC-derived cardiomyocytes to predict cardiac activity with machine learning. Description: Yang, Hongbin, et al. Deriving waveform parameters from calcium transients in human iPSC-derived cardiomyocytes to predict cardiac activity with machine learning. ''Stem Cell Reports''. 2022 Mar 8; '''17''' (3):556-568
Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS. Description: Arora, Mehak, et al. Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS. ''Metabolites''. 2022 Mar 8; '''12''' (3):
Bacterial and Viral Respiratory Tract Microbiota and Host Characteristics in Adults With Lower Respiratory Tract Infections: A Case-Control Study. Description: Haak, Bastiaan W, et al. Bacterial and Viral Respiratory Tract Microbiota and Host Characteristics in Adults With Lower Respiratory Tract Infections: A Case-Control Study. ''Clin Infect Dis''. 2022 Mar 9; '''74''' (5):776-784
Early non-neutralizing, afucosylated antibody responses are associated with COVID-19 severity. Description: Chakraborty, Saborni, et al. Early non-neutralizing, afucosylated antibody responses are associated with COVID-19 severity. ''Sci Transl Med''. 2022 Mar 9; '''14''' (635):eabm7853
Single nucleus multi-omics identifies human cortical cell regulatory genome diversity. Description: Luo, Chongyuan, et al. Single nucleus multi-omics identifies human cortical cell regulatory genome diversity. ''Cell Genom''. 2022 Mar 9; '''2''' (3):
DLRAPom: a hybrid pipeline of Optimized XGBoost-guided integrative multiomics analysis for identifying targetable disease-related lncRNA-miRNA-mRNA regulatory axes. Description: Shen, Chen, et al. DLRAPom: a hybrid pipeline of Optimized XGBoost-guided integrative multiomics analysis for identifying targetable disease-related lncRNA-miRNA-mRNA regulatory axes. ''Brief Bioinform''. 2022 Mar 10; '''23''' (2):
RiboReport - benchmarking tools for ribosome profiling-based identification of open reading frames in bacteria. Description: Gelhausen, Rick, et al. RiboReport - benchmarking tools for ribosome profiling-based identification of open reading frames in bacteria. ''Brief Bioinform''. 2022 Mar 10; '''23''' (2):
Searching for optimal machine learning model to classify mild cognitive impairment (MCI) subtypes using multimodal MRI data. Description: Jitsuishi, Tatsuya, et al. Searching for optimal machine learning model to classify mild cognitive impairment (MCI) subtypes using multimodal MRI data. ''Sci Rep''. 2022 Mar 11; '''12''' (1):4284
Triku: a feature selection method based on nearest neighbors for single-cell data. Description: M Ascension, Alex, et al. Triku: a feature selection method based on nearest neighbors for single-cell data. ''Gigascience''. 2022 Mar 12; '''11''':
Monkey plays Pac-Man with compositional strategies and hierarchical decision-making. Description: Yang, Qianli, et al. Monkey plays Pac-Man with compositional strategies and hierarchical decision-making. ''Elife''. 2022 Mar 14; '''11''':
The SARS-CoV-2 Delta variant induces an antibody response largely focused on class 1 and 2 antibody epitopes. Description: Greaney, Allison J, et al. The SARS-CoV-2 Delta variant induces an antibody response largely focused on class 1 and 2 antibody epitopes. ''bioRxiv''. 2022 Mar 14;
Tumor-specific interendothelial adhesion mediated by FLRT2 facilitates cancer aggressiveness. Description: Ando, Tomofumi, et al. Tumor-specific interendothelial adhesion mediated by FLRT2 facilitates cancer aggressiveness. ''J Clin Invest''. 2022 Mar 15; '''132''' (6):
Machine learning discovery of missing links that mediate alternative branches to plant alkaloids. Description: Vavricka, Christopher J, et al. Machine learning discovery of missing links that mediate alternative branches to plant alkaloids. ''Nat Commun''. 2022 Mar 16; '''13''' (1):1405
Predicting health-related social needs in Medicaid and Medicare populations using machine learning. Description: Holcomb, Jennifer, et al. Predicting health-related social needs in Medicaid and Medicare populations using machine learning. ''Sci Rep''. 2022 Mar 16; '''12''' (1):4554
The structure of the human cell cycle. Description: Stallaert, Wayne, et al. The structure of the human cell cycle. ''Cell Syst''. 2022 Mar 16; '''13''' (3):230-240.e3
Immune imprinting, breadth of variant recognition, and germinal center response in human SARS-CoV-2 infection and vaccination. Description: Roltgen, Katharina, et al. Immune imprinting, breadth of variant recognition, and germinal center response in human SARS-CoV-2 infection and vaccination. ''Cell''. 2022 Mar 17; '''185''' (6):1025-1040.e14
Impact of a Conformite Europeenne (CE) Certification-Marked Medical Software Sensor on COVID-19 Pandemic Progression Prediction: Register-Based Study Using Machine Learning Methods. Description: Limingoja, Leevi, et al. Impact of a Conformite Europeenne (CE) Certification-Marked Medical Software Sensor on COVID-19 Pandemic Progression Prediction: Register-Based Study Using Machine Learning Methods. ''JMIR Form Res''. 2022 Mar 17; '''6''' (3):e35181
Metabolic Footprinting of Microbial Systems Based on Comprehensive In Silico Predictions of MS/MS Relevant Data. Description: Reiter, Alexander, et al. Metabolic Footprinting of Microbial Systems Based on Comprehensive In Silico Predictions of MS/MS Relevant Data. ''Metabolites''. 2022 Mar 17; '''12''' (3):
Claustrum mediates bidirectional and reversible control of stress-induced anxiety responses. Description: Niu, Misaki, et al. Claustrum mediates bidirectional and reversible control of stress-induced anxiety responses. ''Sci Adv''. 2022 Mar 18; '''8''' (11):eabi6375
Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques. Description: Jose, Dinu Maria, et al. Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques. ''Sci Rep''. 2022 Mar 18; '''12''' (1):4678
Organelle specific fluorescent phenomics and transcriptomic profiling to evaluate cellular response to tris(1,3 dichloro 2 propyl)phosphate. Description: Haque, Md Mamunul, et al. Organelle specific fluorescent phenomics and transcriptomic profiling to evaluate cellular response to tris(1,3 dichloro 2 propyl)phosphate. ''Sci Rep''. 2022 Mar 18; '''12''' (1):4660
Trips and neurotransmitters: Discovering principled patterns across 6850 hallucinogenic experiences. Description: Ballentine, Galen, et al. Trips and neurotransmitters: Discovering principled patterns across 6850 hallucinogenic experiences. ''Sci Adv''. 2022 Mar 18; '''8''' (11):eabl6989
Classification of ransomware using different types of neural networks. Description: Madani, Houria, et al. Classification of ransomware using different types of neural networks. ''Sci Rep''. 2022 Mar 19; '''12''' (1):4770
EDNC: Ensemble Deep Neural Network for COVID-19 Recognition. Description: Yang, Lin, et al. EDNC: Ensemble Deep Neural Network for COVID-19 Recognition. ''Tomography''. 2022 Mar 21; '''8''' (2):869-890
Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics. Description: Leppek, Kathrin, et al. Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics. ''Nat Commun''. 2022 Mar 22; '''13''' (1):1536
Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders. Description: Dugre, Jules R, et al. Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders. ''Sci Rep''. 2022 Mar 22; '''12''' (1):4909
Post-Processing Bias Field Inhomogeneity Correction for Assessing Background Parenchymal Enhancement on Breast MRI as a Quantitative Marker of Treatment Response. Description: Nguyen, Alex Anh-Tu, et al. Post-Processing Bias Field Inhomogeneity Correction for Assessing Background Parenchymal Enhancement on Breast MRI as a Quantitative Marker of Treatment Response. ''Tomography''. 2022 Mar 22; '''8''' (2):891-904
The design of an inkjet drive waveform using machine learning. Description: Kim, Seongju, et al. The design of an inkjet drive waveform using machine learning. ''Sci Rep''. 2022 Mar 22; '''12''' (1):4841
Serum Metabolites Associated with Blood Pressure in Chronic Kidney Disease Patients. Description: Yan, Fengyao, et al. Serum Metabolites Associated with Blood Pressure in Chronic Kidney Disease Patients. ''Metabolites''. 2022 Mar 23; '''12''' (4):
An open source toolkit for repurposing Illumina sequencing systems as versatile fluidics and imaging platforms. Description: Pandit, Kunal, et al. An open source toolkit for repurposing Illumina sequencing systems as versatile fluidics and imaging platforms. ''Sci Rep''. 2022 Mar 24; '''12''' (1):5081
Autoantibody discovery across monogenic, acquired, and COVID19-associated autoimmunity with scalable PhIP-Seq. Description: Vazquez, Sara E, et al. Autoantibody discovery across monogenic, acquired, and COVID19-associated autoimmunity with scalable PhIP-Seq. ''bioRxiv''. 2022 Mar 24;
Estimating peanut and soybean photosynthetic traits using leaf spectral reflectance and advance regression models. Description: Buchaillot, Ma Luisa, et al. Estimating peanut and soybean photosynthetic traits using leaf spectral reflectance and advance regression models. ''Planta''. 2022 Mar 24; '''255''' (4):93
Surface parameters and bedrock properties covary across a mountainous watershed: Insights from machine learning and geophysics. Description: Uhlemann, Sebastian, et al. Surface parameters and bedrock properties covary across a mountainous watershed: Insights from machine learning and geophysics. ''Sci Adv''. 2022 Mar 25; '''8''' (12):eabj2479
Neural-Behavioral Relation in Phonetic Discrimination Modulated by Language Background. Description: Zhao, Tian Christina. Neural-Behavioral Relation in Phonetic Discrimination Modulated by Language Background. ''Brain Sci''. 2022 Mar 29; '''12''' (4):
Integrating central nervous system metagenomics and host response for diagnosis of tuberculosis meningitis and its mimics. Description: Ramachandran, P S, et al. Integrating central nervous system metagenomics and host response for diagnosis of tuberculosis meningitis and its mimics. ''Nat Commun''. 2022 Mar 30; '''13''' (1):1675
A blood-based miRNA signature with prognostic value for overall survival in advanced stage non-small cell lung cancer treated with immunotherapy. Description: Rajakumar, Timothy, et al. A blood-based miRNA signature with prognostic value for overall survival in advanced stage non-small cell lung cancer treated with immunotherapy. ''NPJ Precis Oncol''. 2022 Mar 31; '''6''' (1):19
A machine learning model to estimate myocardial stiffness from EDPVR. Description: Babaei, Hamed, et al. A machine learning model to estimate myocardial stiffness from EDPVR. ''Sci Rep''. 2022 Mar 31; '''12''' (1):5433
An automated method for precise axon reconstruction from recordings of high-density micro-electrode arrays. Description: Buccino, Alessio Paolo, et al. An automated method for precise axon reconstruction from recordings of high-density micro-electrode arrays. ''J Neural Eng''. 2022 Mar 31; '''19''' (2):
Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation. Description: Jung, Christian, et al. Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation. ''JMIR Med Inform''. 2022 Mar 31; '''10''' (3):e32949
Predicting the impact of climate change on the re-emergence of malaria cases in China using LSTMSeq2Seq deep learning model: a modelling and prediction analysis study. Description: Kamana, Eric, et al. Predicting the impact of climate change on the re-emergence of malaria cases in China using LSTMSeq2Seq deep learning model: a modelling and prediction analysis study. ''BMJ Open''. 2022 Mar 31; '''12''' (3):e053922
A general framework for predicting the transcriptomic consequences of non-coding variation and small molecules. Description: Abdalla, Moustafa, et al. A general framework for predicting the transcriptomic consequences of non-coding variation and small molecules. ''PLoS Comput Biol''. 2022 Apr; '''18''' (4):e1010028
Arousal state affects perceptual decision-making by modulating hierarchical sensory processing in a large-scale visual system model. Description: Sorensen, Lynn K A, et al. Arousal state affects perceptual decision-making by modulating hierarchical sensory processing in a large-scale visual system model. ''PLoS Comput Biol''. 2022 Apr; '''18''' (4):e1009976
Broad domains of histone marks in the highly compact Paramecium macronuclear genome. Description: Drews, Franziska, et al. Broad domains of histone marks in the highly compact Paramecium macronuclear genome. ''Genome Res''. 2022 Apr; '''32''' (4):710-725
Can Machine Learning Models Predict Asparaginase-associated Pancreatitis in Childhood Acute Lymphoblastic Leukemia. Description: Nielsen, Rikke L, et al. Can Machine Learning Models Predict Asparaginase-associated Pancreatitis in Childhood Acute Lymphoblastic Leukemia. ''J Pediatr Hematol Oncol''. 2022 Apr 1; '''44''' (3):e628-e636
Cell type-specific mechanisms of information transfer in data-driven biophysical models of hippocampal CA3 principal neurons. Description: Linaro, Daniele, et al. Cell type-specific mechanisms of information transfer in data-driven biophysical models of hippocampal CA3 principal neurons. ''PLoS Comput Biol''. 2022 Apr; '''18''' (4):e1010071
Classification of non-coding variants with high pathogenic impact. Description: Moyon, Lambert, et al. Classification of non-coding variants with high pathogenic impact. ''PLoS Genet''. 2022 Apr; '''18''' (4):e1010191
Data-driven comparison of multiple high-dimensional single-cell expression profiles. Description: Okada, Daigo, et al. Data-driven comparison of multiple high-dimensional single-cell expression profiles. ''J Hum Genet''. 2022 Apr; '''67''' (4):215-221
DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data. Description: Cheng, Lijun, et al. DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data. ''PLoS Comput Biol''. 2022 Apr; '''18''' (4):e1008885
Diagnostic and predictive accuracy of anti-mullerian hormone for ovarian function after chemotherapy in premenopausal women with early breast cancer. Description: Anderson, Richard A, et al. Diagnostic and predictive accuracy of anti-mullerian hormone for ovarian function after chemotherapy in premenopausal women with early breast cancer. ''Breast Cancer Res Treat''. 2022 Apr; '''192''' (2):273-282
Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation. Description: Foryciarz, Agata, et al. Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation. ''BMJ Health Care Inform''. 2022 Apr; '''29''' (1):
GC content, but not nucleosome positioning, directly contributes to intron splicing efficiency in Paramecium. Description: Gnan, Stefano, et al. GC content, but not nucleosome positioning, directly contributes to intron splicing efficiency in Paramecium. ''Genome Res''. 2022 Apr; '''32''' (4):699-709
Group and Basis Restricted Non-Negative Matrix Factorization and Random Forest for Molecular Histotype Classification and Raman Biomarker Monitoring in Breast Cancer. Description: Deng, Xinchen, et al. Group and Basis Restricted Non-Negative Matrix Factorization and Random Forest for Molecular Histotype Classification and Raman Biomarker Monitoring in Breast Cancer. ''Appl Spectrosc''. 2022 Apr; '''76''' (4):462-474
Growth promotion and antibiotic induced metabolic shifts in the chicken gut microbiome. Description: Plata, German, et al. Growth promotion and antibiotic induced metabolic shifts in the chicken gut microbiome. ''Commun Biol''. 2022 Apr 1; '''5''' (1):293
Identification of gut microbial species linked with disease variability in a widely used mouse model of colitis. Description: Forster, Samuel C, et al. Identification of gut microbial species linked with disease variability in a widely used mouse model of colitis. ''Nat Microbiol''. 2022 Apr; '''7''' (4):590-599
Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer. Description: Osman, Mohamed Hosny, et al. Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer. ''Cancer Res Treat''. 2022 Apr; '''54''' (2):517-524
Multi-modality machine learning predicting Parkinson's disease. Description: Makarious, Mary B, et al. Multi-modality machine learning predicting Parkinson's disease. ''NPJ Parkinsons Dis''. 2022 Apr 1; '''8''' (1):35
Non-linear archetypal analysis of single-cell RNA-seq data by deep autoencoders. Description: Wang, Yuge, et al. Non-linear archetypal analysis of single-cell RNA-seq data by deep autoencoders. ''PLoS Comput Biol''. 2022 Apr; '''18''' (4):e1010025
Predicting Falls in Long-term Care Facilities: Machine Learning Study. Description: Thapa, Rahul, et al. Predicting Falls in Long-term Care Facilities: Machine Learning Study. ''JMIR Aging''. 2022 Apr 1; '''5''' (2):e35373
Predicting the long-term cognitive trajectories using machine learning approaches: A Chinese nationwide longitudinal database. Description: Wu, Yafei, et al. Predicting the long-term cognitive trajectories using machine learning approaches: A Chinese nationwide longitudinal database. ''Psychiatry Res''. 2022 Apr; '''310''': 114434
Prediction of large vessel occlusion for ischaemic stroke by using the machine learning model random forests. Description: Wang, Jianan, et al. Prediction of large vessel occlusion for ischaemic stroke by using the machine learning model random forests. ''Stroke Vasc Neurol''. 2022 Apr; '''7''' (2):94-100
Serum Glycoprotein Markers in Nonalcoholic Steatohepatitis and Hepatocellular Carcinoma. Description: Ramachandran, Prasanna, et al. Serum Glycoprotein Markers in Nonalcoholic Steatohepatitis and Hepatocellular Carcinoma. ''J Proteome Res''. 2022 Apr 1; '''21''' (4):1083-1094
Short- and long-range interactions in the HIV-1 5' UTR regulate genome dimerization and packaging. Description: Ye, Liqing, et al. Short- and long-range interactions in the HIV-1 5' UTR regulate genome dimerization and packaging. ''Nat Struct Mol Biol''. 2022 Apr; '''29''' (4):306-319
Strain-resolved analysis in a randomized trial of antibiotic pretreatment and maintenance dose delivery mode with fecal microbiota transplant for ulcerative colitis. Description: Smith, Byron J, et al. Strain-resolved analysis in a randomized trial of antibiotic pretreatment and maintenance dose delivery mode with fecal microbiota transplant for ulcerative colitis. ''Sci Rep''. 2022 Apr 1; '''12''' (1):5517
The novel proteomic signature for cardiac allograft vasculopathy. Description: Wei, Dongmei, et al. The novel proteomic signature for cardiac allograft vasculopathy. ''ESC Heart Fail''. 2022 Apr; '''9''' (2):1216-1227
Tumor-immune microenvironment revealed by Imaging Mass Cytometry in a metastatic sarcomatoid urothelial carcinoma with a prolonged response to pembrolizumab. Description: Alnajar, Hussein, et al. Tumor-immune microenvironment revealed by Imaging Mass Cytometry in a metastatic sarcomatoid urothelial carcinoma with a prolonged response to pembrolizumab. ''Cold Spring Harb Mol Case Stud''. 2022 Apr; '''8''' (3):
EdgeCrafting: mining embedded, latent, nonlinear patterns to construct gene relationship networks. Description: Husain, Benafsh, et al. EdgeCrafting: mining embedded, latent, nonlinear patterns to construct gene relationship networks. ''G3 (Bethesda)''. 2022 Apr 4; '''12''' (4):
Computational synthesis of cortical dendritic morphologies. Description: Kanari, Lida, et al. Computational synthesis of cortical dendritic morphologies. ''Cell Rep''. 2022 Apr 5; '''39''' (1):110586
Phenotype-Based Threat Assessment. Description: Yang, Jing, et al. Phenotype-Based Threat Assessment. ''Proc Natl Acad Sci U S A''. 2022 Apr 5; '''119''' (14):e2112886119
Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning. Description: Palansooriya, Kumuduni N, et al. Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning. ''Environ Sci Technol''. 2022 Apr 5; '''56''' (7):4187-4198
Biomechanical and Psychological Predictors of Failure in the Air Force Physical Fitness Test. Description: Turner, Jeffrey, et al. Biomechanical and Psychological Predictors of Failure in the Air Force Physical Fitness Test. ''Sports (Basel)''. 2022 Apr 6; '''10''' (4):
Machine learning-based models for predicting clinical outcomes after surgery in unilateral primary aldosteronism. Description: Kaneko, Hiroki, et al. Machine learning-based models for predicting clinical outcomes after surgery in unilateral primary aldosteronism. ''Sci Rep''. 2022 Apr 6; '''12''' (1):5781
Orthogonal representations for robust context-dependent task performance in brains and neural networks. Description: Flesch, Timo, et al. Orthogonal representations for robust context-dependent task performance in brains and neural networks. ''Neuron''. 2022 Apr 6; '''110''' (7):1258-1270.e11
Accurate prediction of molecular targets using a self-supervised image representation learning framework. Description: Zeng, Xiangxiang, et al. Accurate prediction of molecular targets using a self-supervised image representation learning framework. ''Res Sq''. 2022 Apr 7;
Brain morphometric features predict medication response in youth with bipolar disorder: a prospective randomized clinical trial. Description: Lei, Du, et al. Brain morphometric features predict medication response in youth with bipolar disorder: a prospective randomized clinical trial. ''Psychol Med''. 2022 Apr 8; '''53''' (9):1-11
Hit Expansion of a Noncovalent SARS-CoV-2 Main Protease Inhibitor. Description: Glaser, Jens, et al. Hit Expansion of a Noncovalent SARS-CoV-2 Main Protease Inhibitor. ''ACS Pharmacol Transl Sci''. 2022 Apr 8; '''5''' (4):255-265
Multi-omic rejuvenation of human cells by maturation phase transient reprogramming. Description: Gill, Diljeet, et al. Multi-omic rejuvenation of human cells by maturation phase transient reprogramming. ''Elife''. 2022 Apr 8; '''11''':
Predicting base editing outcomes using position-specific sequence determinants. Description: Pallaseni, Ananth, et al. Predicting base editing outcomes using position-specific sequence determinants. ''Nucleic Acids Res''. 2022 Apr 8; '''50''' (6):3551-3564
The MYC oncoprotein directly interacts with its chromatin cofactor PNUTS to recruit PP1 phosphatase. Description: Wei, Yong, et al. The MYC oncoprotein directly interacts with its chromatin cofactor PNUTS to recruit PP1 phosphatase. ''Nucleic Acids Res''. 2022 Apr 8; '''50''' (6):3505-3522
Predicting Psychotic Relapse in Schizophrenia With Mobile Sensor Data: Routine Cluster Analysis. Description: Zhou, Joanne, et al. Predicting Psychotic Relapse in Schizophrenia With Mobile Sensor Data: Routine Cluster Analysis. ''JMIR Mhealth Uhealth''. 2022 Apr 11; '''10''' (4):e31006
Visual association cortex links cues with conjunctions of reward and locomotor contexts. Description: McGuire, Kelly L, et al. Visual association cortex links cues with conjunctions of reward and locomotor contexts. ''Curr Biol''. 2022 Apr 11; '''32''' (7):1563-1576.e8
3DLigandSite: structure-based prediction of protein-ligand binding sites. Description: McGreig, Jake E, et al. 3DLigandSite: structure-based prediction of protein-ligand binding sites. ''Nucleic Acids Res''. 2022 Apr 12;
Combined Free-Energy Calculation and Machine Learning Methods for Understanding Ligand Unbinding Kinetics. Description: Badaoui, Magd, et al. Combined Free-Energy Calculation and Machine Learning Methods for Understanding Ligand Unbinding Kinetics. ''J Chem Theory Comput''. 2022 Apr 12; '''18''' (4):2543-2555
Deciphering heterogeneous populations of migrating cells based on the computational assessment of their dynamic properties. Description: Ferreira, Aymeric, et al. Deciphering heterogeneous populations of migrating cells based on the computational assessment of their dynamic properties. ''Stem Cell Reports''. 2022 Apr 12; '''17''' (4):911-923
Machine learning-based scoring models to predict hematopoietic stem cell mobilization in allogeneic donors. Description: Xiang, Jingyu, et al. Machine learning-based scoring models to predict hematopoietic stem cell mobilization in allogeneic donors. ''Blood Adv''. 2022 Apr 12; '''6''' (7):1991-2000
PASS2.7: a database containing structure-based sequence alignments and associated features of protein domain superfamilies from SCOPe. Description: Bhattacharyya, Teerna, et al. PASS2.7: a database containing structure-based sequence alignments and associated features of protein domain superfamilies from SCOPe. ''Database (Oxford)''. 2022 Apr 12; '''2022''':
Secondary influenza challenge triggers resident memory B cell migration and rapid relocation to boost antibody secretion at infected sites. Description: MacLean, Andrew J, et al. Secondary influenza challenge triggers resident memory B cell migration and rapid relocation to boost antibody secretion at infected sites. ''Immunity''. 2022 Apr 12; '''55''' (4):718-733.e8
Symptoms associated with a COVID-19 infection among a non-hospitalized cohort in Vienna. Description: Munsch, Nicolas, et al. Symptoms associated with a COVID-19 infection among a non-hospitalized cohort in Vienna. ''Wien Klin Wochenschr''. 2022 Apr 13;
Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study. Description: Chi, Nathan A, et al. Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study. ''JMIR Pediatr Parent''. 2022 Apr 14; '''5''' (2):e35406
Interactive single-cell data analysis using Cellar. Description: Hasanaj, Euxhen, et al. Interactive single-cell data analysis using Cellar. ''Nat Commun''. 2022 Apr 14; '''13''' (1):1998
Benchmarking missing-values approaches for predictive models on health databases. Description: Perez-Lebel, Alexandre, et al. Benchmarking missing-values approaches for predictive models on health databases. ''Gigascience''. 2022 Apr 15; '''11''':
Cluster Analysis of Primary Care Physician Phenotypes for Electronic Health Record Use: Retrospective Cohort Study. Description: Fong, Allan, et al. Cluster Analysis of Primary Care Physician Phenotypes for Electronic Health Record Use: Retrospective Cohort Study. ''JMIR Med Inform''. 2022 Apr 15; '''10''' (4):e34954
Discovery and evaluation of chalcone derivatives as novel potential anti-Toxoplasma gondii agents. Description: Jiang, Liping, et al. Discovery and evaluation of chalcone derivatives as novel potential anti-Toxoplasma gondii agents. ''Eur J Med Chem''. 2022 Apr 15; '''234''': 114244
Directed mutational scanning reveals a balance between acidic and hydrophobic residues in strong human activation domains. Description: Staller, Max V, et al. Directed mutational scanning reveals a balance between acidic and hydrophobic residues in strong human activation domains. ''Cell Syst''. 2022 Apr 20; '''13''' (4):334-345.e5
Early microbial markers of periodontal and cardiometabolic diseases in ORIGINS. Description: Marotz, Clarisse, et al. Early microbial markers of periodontal and cardiometabolic diseases in ORIGINS. ''NPJ Biofilms Microbiomes''. 2022 Apr 20; '''8''' (1):30
Does scoring patient complexity using COMPRI predict the length of hospital stay? A multicentre case-control study in Japan. Description: Yokokawa, Daiki, et al. Does scoring patient complexity using COMPRI predict the length of hospital stay? A multicentre case-control study in Japan. ''BMJ Open''. 2022 Apr 21; '''12''' (4):e051891
Clustering analysis reveals different profiles associating long-term post-COVID symptoms, COVID-19 symptoms at hospital admission and previous medical co-morbidities in previously hospitalized COVID-19 survivors. Description: Fernandez-de-Las-Penas, Cesar, et al. Clustering analysis reveals different profiles associating long-term post-COVID symptoms, COVID-19 symptoms at hospital admission and previous medical co-morbidities in previously hospitalized COVID-19 survivors. ''Infection''. 2022 Apr 22;
Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators. Description: Rajput, Akanksha, et al. Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators. ''Nucleic Acids Res''. 2022 Apr 22; '''50''' (7):3658-3672
Synthetic 3'-UTR valves for optimal metabolic flux control in Escherichia coli. Description: Choe, Donghui, et al. Synthetic 3'-UTR valves for optimal metabolic flux control in Escherichia coli. ''Nucleic Acids Res''. 2022 Apr 22; '''50''' (7):4171-4186
Objective Measurement of Hyperactivity Using Mobile Sensing and Machine Learning: Pilot Study. Description: Lindhiem, Oliver, et al. Objective Measurement of Hyperactivity Using Mobile Sensing and Machine Learning: Pilot Study. ''JMIR Form Res''. 2022 Apr 25; '''6''' (4):e35803
Unveiling OASIS family as a key player in hypoxia-ischemia cases induced by cocaine using generative adversarial networks. Description: Lee, Kyoungmin, et al. Unveiling OASIS family as a key player in hypoxia-ischemia cases induced by cocaine using generative adversarial networks. ''Sci Rep''. 2022 Apr 25; '''12''' (1):6734
Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non-Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study. Description: Hu, Danqing, et al. Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non-Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study. ''JMIR Med Inform''. 2022 Apr 25; '''10''' (4):e35475
ExPheWas: a platform for cis-Mendelian randomization and gene-based association scans. Description: Legault, Marc-Andre, et al. ExPheWas: a platform for cis-Mendelian randomization and gene-based association scans. ''Nucleic Acids Res''. 2022 Apr 26;
PlasmidHostFinder: Prediction of Plasmid Hosts Using Random Forest. Description: Aytan-Aktug, Derya, et al. PlasmidHostFinder: Prediction of Plasmid Hosts Using Random Forest. ''mSystems''. 2022 Apr 26; '''7''' (2):e0118021
Surgical Treatment for Colorectal Cancer Partially Restores Gut Microbiome and Metabolome Traits. Description: Shiroma, Hirotsugu, et al. Surgical Treatment for Colorectal Cancer Partially Restores Gut Microbiome and Metabolome Traits. ''mSystems''. 2022 Apr 26; '''7''' (2):e0001822
Machine Learning of All Mycobacterium tuberculosis H37Rv RNA-seq Data Reveals a Structured Interplay between Metabolism, Stress Response, and Infection. Description: Yoo, Reo, et al. Machine Learning of All Mycobacterium tuberculosis H37Rv RNA-seq Data Reveals a Structured Interplay between Metabolism, Stress Response, and Infection. ''mSphere''. 2022 Apr 27; '''7''' (2):e0003322
Assessing in vivo mutation frequencies and creating a high-resolution genome-wide map of fitness costs of Hepatitis C virus. Description: Tisthammer, Kaho H, et al. Assessing in vivo mutation frequencies and creating a high-resolution genome-wide map of fitness costs of Hepatitis C virus. ''PLoS Genet''. 2022 May; '''18''' (5):e1010179
Can Machine Learning Accurately Predict Postoperative Compensation for the Uninstrumented Thoracic Spine and Pelvis After Fusion From the Lower Thoracic Spine to the Sacrum? Description: Lee, Nathan J, et al. Can Machine Learning Accurately Predict Postoperative Compensation for the Uninstrumented Thoracic Spine and Pelvis After Fusion From the Lower Thoracic Spine to the Sacrum? ''Global Spine J''. 2022 May; '''12''' (4):559-566
Combining rank-size and k-means for clustering countries over the COVID-19 new deaths per million. Description: Cerqueti, Roy, et al. Combining rank-size and k-means for clustering countries over the COVID-19 new deaths per million. ''Chaos Solitons Fractals''. 2022 May; '''158''': 111975
Decoding peak emotional responses to music from computational acoustic and lyrical features. Description: Mori, Kazuma. Decoding peak emotional responses to music from computational acoustic and lyrical features. ''Cognition''. 2022 May; '''222''': 105010
Deep Learning for Discrimination Between Fungal Keratitis and Bacterial Keratitis: DeepKeratitis. Description: Ghosh, Amit Kumar, et al. Deep Learning for Discrimination Between Fungal Keratitis and Bacterial Keratitis: DeepKeratitis. ''Cornea''. 2022 May 1; '''41''' (5):616-622
Defining the determinants of protection against SARS-CoV-2 infection and viral control in a dose-down Ad26.CoV2.S vaccine study in nonhuman primates. Description: Zhu, Daniel Y, et al. Defining the determinants of protection against SARS-CoV-2 infection and viral control in a dose-down Ad26.CoV2.S vaccine study in nonhuman primates. ''PLoS Biol''. 2022 May; '''20''' (5):e3001609
Development and validation of a deep learning system to screen vision-threatening conditions in high myopia using optical coherence tomography images. Description: Li, Yonghao, et al. Development and validation of a deep learning system to screen vision-threatening conditions in high myopia using optical coherence tomography images. ''Br J Ophthalmol''. 2022 May; '''106''' (5):633-639
Evaluation of a single-breath-hold radial turbo-spin-echo sequence for T2 mapping of the liver at 3T. Description: Bencikova, Diana, et al. Evaluation of a single-breath-hold radial turbo-spin-echo sequence for T2 mapping of the liver at 3T. ''Eur Radiol''. 2022 May; '''32''' (5):3388-3397
Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography. Description: Yasaka, Koichiro, et al. Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography. ''Jpn J Radiol''. 2022 May; '''40''' (5):476-483
Interpretable Machine Learning for Characterization of Focal Liver Lesions by Contrast-Enhanced Ultrasound. Description: Turco, Simona, et al. Interpretable Machine Learning for Characterization of Focal Liver Lesions by Contrast-Enhanced Ultrasound. ''IEEE Trans Ultrason Ferroelectr Freq Control''. 2022 May; '''69''' (5):1670-1681
Longitudinal prediction of lung nodule invasiveness by sequential modelling with common clinical computed tomography (CT) measurements: a prediction accuracy study. Description: Tao, Guangyu, et al. Longitudinal prediction of lung nodule invasiveness by sequential modelling with common clinical computed tomography (CT) measurements: a prediction accuracy study. ''Transl Lung Cancer Res''. 2022 May; '''11''' (5):845-857
Predicting chemical ecotoxicity by learning latent space chemical representations. Description: Gao, Feng, et al. Predicting chemical ecotoxicity by learning latent space chemical representations. ''Environ Int''. 2022 May; '''163''': 107224
Prediction of incident atherosclerotic cardiovascular disease with polygenic risk of metabolic disease: Analysis of 3 prospective cohort studies in Korea. Description: Song, Han, et al. Prediction of incident atherosclerotic cardiovascular disease with polygenic risk of metabolic disease: Analysis of 3 prospective cohort studies in Korea. ''Atherosclerosis''. 2022 May; '''348''': 16-24
Pushing the Limits of Surface-Enhanced Raman Spectroscopy (SERS) with Deep Learning: Identification of Multiple Species with Closely Related Molecular Structures. Description: Lebrun, Alexis, et al. Pushing the Limits of Surface-Enhanced Raman Spectroscopy (SERS) with Deep Learning: Identification of Multiple Species with Closely Related Molecular Structures. ''Appl Spectrosc''. 2022 May; '''76''' (5):609-619
Supervised Machine Learning-Based Decision Support for Signal Validation Classification. Description: Imran, Muhammad, et al. Supervised Machine Learning-Based Decision Support for Signal Validation Classification. ''Drug Saf''. 2022 May; '''45''' (5):583-596
T cell morphodynamics reveal periodic shape oscillations in three-dimensional migration. Description: Cavanagh, Henry, et al. T cell morphodynamics reveal periodic shape oscillations in three-dimensional migration. ''J R Soc Interface''. 2022 May; '''19''' (190):20220081
Validation of Artificial Intelligence to Support the Automatic Coding of Patient Adverse Drug Reaction Reports, Using Nationwide Pharmacovigilance Data. Description: Martin, Guillaume L, et al. Validation of Artificial Intelligence to Support the Automatic Coding of Patient Adverse Drug Reaction Reports, Using Nationwide Pharmacovigilance Data. ''Drug Saf''. 2022 May; '''45''' (5):535-548
Whokaryote: distinguishing eukaryotic and prokaryotic contigs in metagenomes based on gene structure. Description: Pronk, Lotte J U, et al. Whokaryote: distinguishing eukaryotic and prokaryotic contigs in metagenomes based on gene structure. ''Microb Genom''. 2022 May; '''8''' (5):
Early Diagnosis and Quantitative Analysis of Stages in Retinopathy of Prematurity Based on Deep Convolutional Neural Networks. Description: Li, Peng, et al. Early Diagnosis and Quantitative Analysis of Stages in Retinopathy of Prematurity Based on Deep Convolutional Neural Networks. ''Transl Vis Sci Technol''. 2022 May 2; '''11''' (5):17
Mortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records. Description: Choi, Min Hyuk, et al. Mortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records. ''Sci Rep''. 2022 May 3; '''12''' (1):7180
PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies. Description: Meray, Aurelien O, et al. PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies. ''Environ Sci Technol''. 2022 May 3; '''56''' (9):5973-5983
Real-time realizable mobile imaging photoplethysmography. Description: Lee, Hooseok, et al. Real-time realizable mobile imaging photoplethysmography. ''Sci Rep''. 2022 May 3; '''12''' (1):7141
Impact of a Machine Learning-Based Decision Support System for Urinary Tract Infections: Prospective Observational Study in 36 Primary Care Practices. Description: Herter, Willem Ernst, et al. Impact of a Machine Learning-Based Decision Support System for Urinary Tract Infections: Prospective Observational Study in 36 Primary Care Practices. ''JMIR Med Inform''. 2022 May 4; '''10''' (5):e27795
Machine learning-based prediction of relapse in rheumatoid arthritis patients using data on ultrasound examination and blood test. Description: Matsuo, Hidemasa, et al. Machine learning-based prediction of relapse in rheumatoid arthritis patients using data on ultrasound examination and blood test. ''Sci Rep''. 2022 May 4; '''12''' (1):7224
Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets. Description: Yamada, Yasunori, et al. Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets. ''JMIR Form Res''. 2022 May 5; '''6''' (5):e37014
Developmental mRNA m(5)C landscape and regulatory innovations of massive m(5)C modification of maternal mRNAs in animals. Description: Liu, Jianheng, et al. Developmental mRNA m(5)C landscape and regulatory innovations of massive m(5)C modification of maternal mRNAs in animals. ''Nat Commun''. 2022 May 5; '''13''' (1):2484
Evaluation of nutrient characteristics and bacterial community in agricultural soil groups for sustainable land management. Description: Wongkiew, Sumeth, et al. Evaluation of nutrient characteristics and bacterial community in agricultural soil groups for sustainable land management. ''Sci Rep''. 2022 May 5; '''12''' (1):7368
Normalized unitary synaptic signaling of the hippocampus and entorhinal cortex predicted by deep learning of experimental recordings. Description: Moradi, Keivan, et al. Normalized unitary synaptic signaling of the hippocampus and entorhinal cortex predicted by deep learning of experimental recordings. ''Commun Biol''. 2022 May 5; '''5''' (1):418
AggMapNet: enhanced and explainable low-sample omics deep learning with feature-aggregated multi-channel networks. Description: Shen, Wan Xiang, et al. AggMapNet: enhanced and explainable low-sample omics deep learning with feature-aggregated multi-channel networks. ''Nucleic Acids Res''. 2022 May 6; '''50''' (8):e45
Machine learning of material properties: Predictive and interpretable multilinear models. Description: Allen, Alice E A, et al. Machine learning of material properties: Predictive and interpretable multilinear models. ''Sci Adv''. 2022 May 6; '''8''' (18):eabm7185
Clinical outcome of nosocomial pneumonia caused by Carbapenem-resistant gram-negative bacteria in critically ill patients: a multicenter retrospective observational study. Description: Chen, Chih-Yu, et al. Clinical outcome of nosocomial pneumonia caused by Carbapenem-resistant gram-negative bacteria in critically ill patients: a multicenter retrospective observational study. ''Sci Rep''. 2022 May 7; '''12''' (1):7501
Convolutional neural networks for detection of transthyretin amyloidosis in 2D scintigraphy images. Description: Halme, Hanna-Leena, et al. Convolutional neural networks for detection of transthyretin amyloidosis in 2D scintigraphy images. ''EJNMMI Res''. 2022 May 7; '''12''' (1):27
GRaSP-web: a machine learning strategy to predict binding sites based on residue neighborhood graphs. Description: Santana, Charles A, et al. GRaSP-web: a machine learning strategy to predict binding sites based on residue neighborhood graphs. ''Nucleic Acids Res''. 2022 May 7;
Ovarian cancer immunogenicity is governed by a narrow subset of progenitor tissue-resident memory T cells. Description: Anadon, Carmen M, et al. Ovarian cancer immunogenicity is governed by a narrow subset of progenitor tissue-resident memory T cells. ''Cancer Cell''. 2022 May 9; '''40''' (5):545-557.e13
Proximal CA1 20-40 Hz power dynamics reflect trial-specific information processing supporting nonspatial sequence memory. Description: Gattas, Sandra, et al. Proximal CA1 20-40 Hz power dynamics reflect trial-specific information processing supporting nonspatial sequence memory. ''Elife''. 2022 May 9; '''11''':
COVID-19 Lockdowns-Effect on Concentration of Pharmaceuticals and Illicit Drugs in Two Major Croatian Rivers. Description: Stipanicev, Drazenka, et al. COVID-19 Lockdowns-Effect on Concentration of Pharmaceuticals and Illicit Drugs in Two Major Croatian Rivers. ''Toxics''. 2022 May 10; '''10''' (5):
Mapped coral mortality and refugia in an archipelago-scale marine heat wave. Description: Asner, Gregory P, et al. Mapped coral mortality and refugia in an archipelago-scale marine heat wave. ''Proc Natl Acad Sci U S A''. 2022 May 10; '''119''' (19):e2123331119
Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation. Description: Chen, Pei-Fu, et al. Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation. ''JMIR Med Inform''. 2022 May 10; '''10''' (5):e38241
A persistent behavioral state enables sustained predation of humans by mosquitoes. Description: Sorrells, Trevor R, et al. A persistent behavioral state enables sustained predation of humans by mosquitoes. ''Elife''. 2022 May 12; '''11''':
The Impact of a Training Intervention on Detection of Patient-Ventilator Asynchronies in Nursing Students. Description: Gravante, Francesco, et al. The Impact of a Training Intervention on Detection of Patient-Ventilator Asynchronies in Nursing Students. ''Acta Biomed''. 2022 May 12; '''93''' (S2):e2022144
ProMetheusDB: An In-Depth Analysis of the High-Quality Human Methyl-proteome. Description: Massignani, Enrico, et al. ProMetheusDB: An In-Depth Analysis of the High-Quality Human Methyl-proteome. ''Mol Cell Proteomics''. 2022 May 14; '''21''' (7):100243
DynaMorph: self-supervised learning of morphodynamic states of live cells. Description: Wu, Zhenqin, et al. DynaMorph: self-supervised learning of morphodynamic states of live cells. ''Mol Biol Cell''. 2022 May 15; '''33''' (6):ar59
MSSort-DIA(XMBD): A deep learning classification tool of the peptide precursors quantified by OpenSWATH. Description: Li, Yiming, et al. MSSort-DIA(XMBD): A deep learning classification tool of the peptide precursors quantified by OpenSWATH. ''J Proteomics''. 2022 May 15; '''259''': 104542
Insights about the common generative rule underlying an information foraging task can be facilitated via collective search. Description: Naito, Aoi, et al. Insights about the common generative rule underlying an information foraging task can be facilitated via collective search. ''Sci Rep''. 2022 May 16; '''12''' (1):8047
An Electrostatically-steered Conformational Selection Mechanism Promotes SARS-CoV-2 Spike Protein Variation. Description: Sorokina, Marija, et al. An Electrostatically-steered Conformational Selection Mechanism Promotes SARS-CoV-2 Spike Protein Variation. ''J Mol Biol''. 2022 May 17; '''434''' (13):167637
Choice-selective sequences dominate in cortical relative to thalamic inputs to NAc to support reinforcement learning. Description: Parker, Nathan F, et al. Choice-selective sequences dominate in cortical relative to thalamic inputs to NAc to support reinforcement learning. ''Cell Rep''. 2022 May 17; '''39''' (7):110756
NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer. Description: Amgad, Mohamed, et al. NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer. ''Gigascience''. 2022 May 17; '''11''':
Dysgu: efficient structural variant calling using short or long reads. Description: Cleal, Kez, et al. Dysgu: efficient structural variant calling using short or long reads. ''Nucleic Acids Res''. 2022 May 20; '''50''' (9):e53
Machine learning and comparative genomics approaches for the discovery of xylose transporters in yeast. Description: Fiamenghi, Mateus Bernabe, et al. Machine learning and comparative genomics approaches for the discovery of xylose transporters in yeast. ''Biotechnol Biofuels Bioprod''. 2022 May 20; '''15''' (1):57
Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2. Description: Gao, Kaifu, et al. Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2. ''Chem Rev''. 2022 May 20;
The value of longitudinal clinical data and paired CT scans in predicting the deterioration of COVID-19 revealed by an artificial intelligence system. Description: Han, Xiaoyang, et al. The value of longitudinal clinical data and paired CT scans in predicting the deterioration of COVID-19 revealed by an artificial intelligence system. ''iScience''. 2022 May 20; '''25''' (5):104227
Deep learning tools are top performers in long non-coding RNA prediction. Description: Ammunet, Tea, et al. Deep learning tools are top performers in long non-coding RNA prediction. ''Brief Funct Genomics''. 2022 May 21; '''21''' (3):230-241
Strong off-target antibody reactivity to malarial antigens induced by RTS,S/AS01E vaccination is associated with protection. Description: Macia, Didac, et al. Strong off-target antibody reactivity to malarial antigens induced by RTS,S/AS01E vaccination is associated with protection. ''JCI Insight''. 2022 May 23; '''7''' (10):
Applications of machine learning in pine nuts classification. Description: Huang, Biaosheng, et al. Applications of machine learning in pine nuts classification. ''Sci Rep''. 2022 May 25; '''12''' (1):8799
Dataset of solution-based inorganic materials synthesis procedures extracted from the scientific literature. Description: Wang, Zheren, et al. Dataset of solution-based inorganic materials synthesis procedures extracted from the scientific literature. ''Sci Data''. 2022 May 25; '''9''' (1):231
EPIXplorer: A web server for prediction, analysis and visualization of enhancer-promoter interactions. Description: Tang, Li, et al. EPIXplorer: A web server for prediction, analysis and visualization of enhancer-promoter interactions. ''Nucleic Acids Res''. 2022 May 25;
ExpressVis: a biologist-oriented interactive web server for exploring multi-omics data. Description: Liu, Xian, et al. ExpressVis: a biologist-oriented interactive web server for exploring multi-omics data. ''Nucleic Acids Res''. 2022 May 25;
Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification. Description: Kanduri, Chakravarthi, et al. Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification. ''Gigascience''. 2022 May 25; '''11''':
PRECOGx: exploring GPCR signaling mechanisms with deep protein representations. Description: Matic, Marin, et al. PRECOGx: exploring GPCR signaling mechanisms with deep protein representations. ''Nucleic Acids Res''. 2022 May 26;
Toward the cellular-scale simulation of motor-driven cytoskeletal assemblies. Description: Yan, Wen, et al. Toward the cellular-scale simulation of motor-driven cytoskeletal assemblies. ''Elife''. 2022 May 26; '''11''':
Origin, specification and differentiation of a rare supporting-like lineage in the developing mouse gonad. Description: Mayere, Chloe, et al. Origin, specification and differentiation of a rare supporting-like lineage in the developing mouse gonad. ''Sci Adv''. 2022 May 27; '''8''' (21):eabm0972
T staging with functional and radiomics parameters of computed tomography in colorectal cancer patients. Description: Dou, Yafang, et al. T staging with functional and radiomics parameters of computed tomography in colorectal cancer patients. ''Medicine (Baltimore)''. 2022 May 27; '''101''' (21):e29244
An empirical evaluation of genotype imputation of ancient DNA. Description: Ausmees, Kristiina, et al. An empirical evaluation of genotype imputation of ancient DNA. ''G3 (Bethesda)''. 2022 May 30; '''12''' (6):
Adolescent thalamic inhibition leads to long-lasting impairments in prefrontal cortex function. Description: Benoit, Laura J, et al. Adolescent thalamic inhibition leads to long-lasting impairments in prefrontal cortex function. ''Nat Neurosci''. 2022 Jun; '''25''' (6):714-725
A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. Description: Blanchard, Andrew E, et al. A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. ''IEEE J Biomed Health Inform''. 2022 Jun; '''26''' (6):2796-2803
A Prehospital Triage System to Detect Traumatic Intracranial Hemorrhage Using Machine Learning Algorithms. Description: Abe, Daisu, et al. A Prehospital Triage System to Detect Traumatic Intracranial Hemorrhage Using Machine Learning Algorithms. ''JAMA Netw Open''. 2022 Jun 1; '''5''' (6):e2216393
Clinical severity prediction in children with osteogenesis imperfecta caused by COL1A1/2 defects. Description: Yang, Lin, et al. Clinical severity prediction in children with osteogenesis imperfecta caused by COL1A1/2 defects. ''Osteoporos Int''. 2022 Jun; '''33''' (6):1373-1384
Deep learning for evaluation of microvascular invasion in hepatocellular carcinoma from tumor areas of histology images. Description: Chen, Qiaofeng, et al. Deep learning for evaluation of microvascular invasion in hepatocellular carcinoma from tumor areas of histology images. ''Hepatol Int''. 2022 Jun; '''16''' (3):590-602
Deep learning models for forecasting dengue fever based on climate data in Vietnam. Description: Nguyen, Van-Hau, et al. Deep learning models for forecasting dengue fever based on climate data in Vietnam. ''PLoS Negl Trop Dis''. 2022 Jun; '''16''' (6):e0010509
FISH-quant v2: a scalable and modular tool for smFISH image analysis. Description: Imbert, Arthur, et al. FISH-quant v2: a scalable and modular tool for smFISH image analysis. ''RNA''. 2022 Jun; '''28''' (6):786-795
High-Throughput Measurement and Machine Learning-Based Prediction of Collision Cross Sections for Drugs and Drug Metabolites. Description: Ross, Dylan H, et al. High-Throughput Measurement and Machine Learning-Based Prediction of Collision Cross Sections for Drugs and Drug Metabolites. ''J Am Soc Mass Spectrom''. 2022 Jun 1; '''33''' (6):1061-1072
Hospital admission risk stratification of patients with gout presenting to the emergency department. Description: Han, Wang, et al. Hospital admission risk stratification of patients with gout presenting to the emergency department. ''Clin Rheumatol''. 2022 Jun; '''41''' (6):1801-1807
Machine learning to differentiate small round cell malignant tumors and non-small round cell malignant tumors of the nasal and paranasal sinuses using apparent diffusion coefficient values. Description: Chen, Chen, et al. Machine learning to differentiate small round cell malignant tumors and non-small round cell malignant tumors of the nasal and paranasal sinuses using apparent diffusion coefficient values. ''Eur Radiol''. 2022 Jun; '''32''' (6):3819-3829
Metabolomics of Synovial Fluid and Infrapatellar Fat Pad in Patients with Osteoarthritis or Rheumatoid Arthritis. Description: Nieminen, Petteri, et al. Metabolomics of Synovial Fluid and Infrapatellar Fat Pad in Patients with Osteoarthritis or Rheumatoid Arthritis. ''Inflammation''. 2022 Jun; '''45''' (3):1101-1117
Noninvasive proteomic biomarkers for alcohol-related liver disease. Description: Niu, Lili, et al. Noninvasive proteomic biomarkers for alcohol-related liver disease. ''Nat Med''. 2022 Jun; '''28''' (6):1277-1287
Predicting cognitive scores with graph neural networks through sample selection learning. Description: Hanik, Martin, et al. Predicting cognitive scores with graph neural networks through sample selection learning. ''Brain Imaging Behav''. 2022 Jun; '''16''' (3):1123-1138
Tasks activating the default mode network map multiple functional systems. Description: Mancuso, Lorenzo, et al. Tasks activating the default mode network map multiple functional systems. ''Brain Struct Funct''. 2022 Jun; '''227''' (5):1711-1734
The feasibility of granzyme B levels using an amperometric immunosensor for lung cancer detection. Description: Chung, Jae Heun, et al. The feasibility of granzyme B levels using an amperometric immunosensor for lung cancer detection. ''Ann Transl Med''. 2022 Jun; '''10''' (11):622
Towards the automated large-scale reconstruction of past road networks from historical maps. Description: Uhl, Johannes H, et al. Towards the automated large-scale reconstruction of past road networks from historical maps. ''Comput Environ Urban Syst''. 2022 Jun; '''94''':
Weakly-supervised tumor purity prediction from frozen H&E stained slides. Description: Brendel, Matthew, et al. Weakly-supervised tumor purity prediction from frozen H&E stained slides. ''EBioMedicine''. 2022 Jun; '''80''': 104067
Deep Phenotyping of Chinese Electronic Health Records by Recognizing Linguistic Patterns of Phenotypic Narratives With a Sequence Motif Discovery Tool: Algorithm Development and Validation. Description: Li, Shicheng, et al. Deep Phenotyping of Chinese Electronic Health Records by Recognizing Linguistic Patterns of Phenotypic Narratives With a Sequence Motif Discovery Tool: Algorithm Development and Validation. ''J Med Internet Res''. 2022 Jun 3; '''24''' (6):e37213
Multimodal classification of extremely preterm and term adolescents using the fusiform gyrus: A machine learning approach. Description: Grannis, Connor, et al. Multimodal classification of extremely preterm and term adolescents using the fusiform gyrus: A machine learning approach. ''Neuroimage Clin''. 2022 Jun 4; '''35''': 103078
Brain structures associated with individual differences in decisional and emotional forgiveness. Description: Rao, Xinyu, et al. Brain structures associated with individual differences in decisional and emotional forgiveness. ''Neuropsychologia''. 2022 Jun 6; '''170''': 108223
Classification for transmission electron microscope images from different amorphous states using persistent homology. Description: Uesugi, Fumihiko, et al. Classification for transmission electron microscope images from different amorphous states using persistent homology. ''Microscopy (Oxf)''. 2022 Jun 6; '''71''' (3):161-168
Neural circuit pathology driven by Shank3 mutation disrupts social behaviors. Description: Kim, Sunwhi, et al. Neural circuit pathology driven by Shank3 mutation disrupts social behaviors. ''Cell Rep''. 2022 Jun 7; '''39''' (10):110906
The neural signature of the decision value of future pain. Description: Coll, Michel-Pierre, et al. The neural signature of the decision value of future pain. ''Proc Natl Acad Sci U S A''. 2022 Jun 7; '''119''' (23):e2119931119
Deep learning features encode interpretable morphologies within histological images. Description: Foroughi Pour, Ali, et al. Deep learning features encode interpretable morphologies within histological images. ''Sci Rep''. 2022 Jun 8; '''12''' (1):9428
Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospective cohort study using a large data set from a hospital in Japan. Description: Inaguma, Daijo, et al. Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospective cohort study using a large data set from a hospital in Japan. ''BMJ Open''. 2022 Jun 9; '''12''' (6):e058833
The Effect of Fear of Infection and Sufficient Vaccine Reservation Information on Rapid COVID-19 Vaccination in Japan: Evidence From a Retrospective Twitter Analysis. Description: Niu, Qian, et al. The Effect of Fear of Infection and Sufficient Vaccine Reservation Information on Rapid COVID-19 Vaccination in Japan: Evidence From a Retrospective Twitter Analysis. ''J Med Internet Res''. 2022 Jun 9; '''24''' (6):e37466
Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements. Description: Secasan, Ciprian Cosmin, et al. Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements. ''Curr Oncol''. 2022 Jun 10; '''29''' (6):4212-4223
CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data. Description: Bae, Sungwoo, et al. CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data. ''Nucleic Acids Res''. 2022 Jun 10; '''50''' (10):e57
Neural network learning defines glioblastoma features to be of neural crest perivascular or radial glia lineages. Description: Hu, Yizhou, et al. Neural network learning defines glioblastoma features to be of neural crest perivascular or radial glia lineages. ''Sci Adv''. 2022 Jun 10; '''8''' (23):eabm6340
Single-cell antigen-specific landscape of CAR T infusion product identifies determinants of CD19-positive relapse in patients with ALL. Description: Bai, Zhiliang, et al. Single-cell antigen-specific landscape of CAR T infusion product identifies determinants of CD19-positive relapse in patients with ALL. ''Sci Adv''. 2022 Jun 10; '''8''' (23):eabj2820
Reconstructing Chromatic-Dispersion Relations and Predicting Refractive Indices Using Text Mining and Machine Learning. Description: Zhao, Jiuyang, et al. Reconstructing Chromatic-Dispersion Relations and Predicting Refractive Indices Using Text Mining and Machine Learning. ''J Chem Inf Model''. 2022 Jun 13; '''62''' (11):2670-2684
The Prediction of Preterm Birth Using Time-Series Technology-Based Machine Learning: Retrospective Cohort Study. Description: Zhang, Yichao, et al. The Prediction of Preterm Birth Using Time-Series Technology-Based Machine Learning: Retrospective Cohort Study. ''JMIR Med Inform''. 2022 Jun 13; '''10''' (6):e33835
Deciphering the origins and fates of steroidogenic lineages in the mouse testis. Description: Ademi, Herta, et al. Deciphering the origins and fates of steroidogenic lineages in the mouse testis. ''Cell Rep''. 2022 Jun 14; '''39''' (11):110935
Enhancing Ligand and Protein Sampling Using Sequential Monte Carlo. Description: Suruzhon, Miroslav, et al. Enhancing Ligand and Protein Sampling Using Sequential Monte Carlo. ''J Chem Theory Comput''. 2022 Jun 14; '''18''' (6):3894-3910
Machine Learning Support for Decision-Making in Kidney Transplantation: Step-by-step Development of a Technological Solution. Description: Paquette, Francois-Xavier, et al. Machine Learning Support for Decision-Making in Kidney Transplantation: Step-by-step Development of a Technological Solution. ''JMIR Med Inform''. 2022 Jun 14; '''10''' (6):e34554
Single-cell multiomics reveals persistence of HIV-1 in expanded cytotoxic T cell clones. Description: Collora, Jack A, et al. Single-cell multiomics reveals persistence of HIV-1 in expanded cytotoxic T cell clones. ''Immunity''. 2022 Jun 14; '''55''' (6):1013-1031.e7
EvoRator: Prediction of Residue-level Evolutionary Rates from Protein Structures Using Machine Learning. Description: Nagar, Natan, et al. EvoRator: Prediction of Residue-level Evolutionary Rates from Protein Structures Using Machine Learning. ''J Mol Biol''. 2022 Jun 15; '''434''' (11):167538
Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning-Based Approach. Description: Yang, Donghun, et al. Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning-Based Approach. ''JMIR Med Inform''. 2022 Jun 15; '''10''' (6):e37689
PCA-MutPred: Prediction of Binding Free Energy Change Upon Missense Mutation in Protein-carbohydrate Complexes. Description: Siva Shanmugam, N R, et al. PCA-MutPred: Prediction of Binding Free Energy Change Upon Missense Mutation in Protein-carbohydrate Complexes. ''J Mol Biol''. 2022 Jun 15; '''434''' (11):167526
SVMyr: A Web Server Detecting Co- and Post-translational Myristoylation in Proteins. Description: Madeo, Giovanni, et al. SVMyr: A Web Server Detecting Co- and Post-translational Myristoylation in Proteins. ''J Mol Biol''. 2022 Jun 15; '''434''' (11):167605
Selfee, self-supervised features extraction of animal behaviors. Description: Jia, Yinjun, et al. Selfee, self-supervised features extraction of animal behaviors. ''Elife''. 2022 Jun 16; '''11''':
Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study. Description: Khademi Habibabadi, Sedigheh, et al. Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study. ''JMIR Med Inform''. 2022 Jun 16; '''10''' (6):e34305
All-optical graph representation learning using integrated diffractive photonic computing units. Description: Yan, Tao, et al. All-optical graph representation learning using integrated diffractive photonic computing units. ''Sci Adv''. 2022 Jun 17; '''8''' (24):eabn7630
EpiTopics: A dynamic machine learning model to predict and inform non-pharmacological public health interventions from global news reports. Description: Wen, Zhi, et al. EpiTopics: A dynamic machine learning model to predict and inform non-pharmacological public health interventions from global news reports. ''STAR Protoc''. 2022 Jun 17; '''3''' (2):101463
Evaluating Plant Gene Models Using Machine Learning. Description: Upadhyaya, Shriprabha R, et al. Evaluating Plant Gene Models Using Machine Learning. ''Plants (Basel)''. 2022 Jun 20; '''11''' (12):
Unsupervised discovery of behaviorally relevant brain states in rats playing hide-and-seek. Description: Bagi, Bence, et al. Unsupervised discovery of behaviorally relevant brain states in rats playing hide-and-seek. ''Curr Biol''. 2022 Jun 20; '''32''' (12):2640-2653.e4
A multivariate Bayesian classification algorithm for cerebral stage prediction by diffusion tensor imaging in amyotrophic lateral sclerosis. Description: Behler, Anna, et al. A multivariate Bayesian classification algorithm for cerebral stage prediction by diffusion tensor imaging in amyotrophic lateral sclerosis. ''Neuroimage Clin''. 2022 Jun 21; '''35''': 103094
Anti-bat ultrasound production in moths is globally and phylogenetically widespread. Description: Barber, Jesse R, et al. Anti-bat ultrasound production in moths is globally and phylogenetically widespread. ''Proc Natl Acad Sci U S A''. 2022 Jun 21; '''119''' (25):e2117485119
Machine learning-based suggestion for critical interventions in the management of potentially severe conditioned patients in emergency department triage. Description: Chang, Hansol, et al. Machine learning-based suggestion for critical interventions in the management of potentially severe conditioned patients in emergency department triage. ''Sci Rep''. 2022 Jun 22; '''12''' (1):10537
Recurrent neural networks enable design of multifunctional synthetic human gut microbiome dynamics. Description: Baranwal, Mayank, et al. Recurrent neural networks enable design of multifunctional synthetic human gut microbiome dynamics. ''Elife''. 2022 Jun 23; '''11''':
The snoGloBe interaction predictor reveals a broad spectrum of C/D snoRNA RNA targets. Description: Deschamps-Francoeur, Gabrielle, et al. The snoGloBe interaction predictor reveals a broad spectrum of C/D snoRNA RNA targets. ''Nucleic Acids Res''. 2022 Jun 24; '''50''' (11):6067-6083
TransposonUltimate: software for transposon classification, annotation and detection. Description: Riehl, Kevin, et al. TransposonUltimate: software for transposon classification, annotation and detection. ''Nucleic Acids Res''. 2022 Jun 24; '''50''' (11):e64
Establishing Institutional Scores With the Rigor and Transparency Index: Large-scale Analysis of Scientific Reporting Quality. Description: Menke, Joe, et al. Establishing Institutional Scores With the Rigor and Transparency Index: Large-scale Analysis of Scientific Reporting Quality. ''J Med Internet Res''. 2022 Jun 27; '''24''' (6):e37324
A Dual Enrichment Strategy Provides Soil- and Digestate-Competent Nitrous Oxide-Respiring Bacteria for Mitigating Climate Forcing in Agriculture. Description: Jonassen, Kjell Rune, et al. A Dual Enrichment Strategy Provides Soil- and Digestate-Competent Nitrous Oxide-Respiring Bacteria for Mitigating Climate Forcing in Agriculture. ''mBio''. 2022 Jun 28; '''13''' (3):e0078822
A Hybrid Clustering Method with a Filter Feature Selection for Hyperspectral Image Classification. Description: Zhang, Junzhe. A Hybrid Clustering Method with a Filter Feature Selection for Hyperspectral Image Classification. ''J Imaging''. 2022 Jun 28; '''8''' (7):
Association of Diet and Antimicrobial Resistance in Healthy U.S. Adults. Description: Oliver, Andrew, et al. Association of Diet and Antimicrobial Resistance in Healthy U.S. Adults. ''mBio''. 2022 Jun 28; '''13''' (3):e0010122
Compositionally Aware Phylogenetic Beta-Diversity Measures Better Resolve Microbiomes Associated with Phenotype. Description: Martino, Cameron, et al. Compositionally Aware Phylogenetic Beta-Diversity Measures Better Resolve Microbiomes Associated with Phenotype. ''mSystems''. 2022 Jun 28; '''7''' (3):e0005022
Document Liveness Challenge Dataset (DLC-2021). Description: Polevoy, Dmitry V, et al. Document Liveness Challenge Dataset (DLC-2021). ''J Imaging''. 2022 Jun 28; '''8''' (7):
Insights into the Antimicrobial Activities and Metabolomes of Aquimarina (Flavobacteriaceae, Bacteroidetes) Species from the Rare Marine Biosphere. Description: Silva, Sandra Godinho, et al. Insights into the Antimicrobial Activities and Metabolomes of Aquimarina (Flavobacteriaceae, Bacteroidetes) Species from the Rare Marine Biosphere. ''Mar Drugs''. 2022 Jun 28; '''20''' (7):
Prediction of clinical outcome in CLL based on recurrent gene mutations, CLL-IPI variables, and (para)clinical data. Description: Parviz, Mehdi, et al. Prediction of clinical outcome in CLL based on recurrent gene mutations, CLL-IPI variables, and (para)clinical data. ''Blood Adv''. 2022 Jun 28; '''6''' (12):3716-3728
Serine Protease Inhibitors Restrict Host Susceptibility to SARS-CoV-2 Infections. Description: Rosendal, Ebba, et al. Serine Protease Inhibitors Restrict Host Susceptibility to SARS-CoV-2 Infections. ''mBio''. 2022 Jun 28; '''13''' (3):e0089222
The role of bone mineral density and cartilage volume to predict knee cartilage degeneration. Description: Ciliberti, Federica Kiyomi, et al. The role of bone mineral density and cartilage volume to predict knee cartilage degeneration. ''Eur J Transl Myol''. 2022 Jun 28; '''32''' (2):
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Limited effects of m(6)A modification on mRNA partitioning into stress granules. Description: Khong, Anthony, et al. Limited effects of m(6)A modification on mRNA partitioning into stress granules. ''Nat Commun''. 2022 Jun 29; '''13''' (1):3735
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Artificial intelligence to identify harmful alcohol use after early liver transplant for alcohol-associated hepatitis. Description: Lee, Brian P, et al. Artificial intelligence to identify harmful alcohol use after early liver transplant for alcohol-associated hepatitis. ''Am J Transplant''. 2022 Jul; '''22''' (7):1834-1841
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Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network. Description: Hejduk, Patryk, et al. Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network. ''Eur Radiol''. 2022 Jul; '''32''' (7):4868-4878
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Immunotherapy of glioblastoma explants induces interferon-gamma responses and spatial immune cell rearrangements in tumor center, but not periphery. Description: Shekarian, Tala, et al. Immunotherapy of glioblastoma explants induces interferon-gamma responses and spatial immune cell rearrangements in tumor center, but not periphery. ''Sci Adv''. 2022 Jul; '''8''' (26):eabn9440
Implementation of Outpatient Infectious Diseases E-Consults at a Safety Net Healthcare System. Description: Medford, Richard J, et al. Implementation of Outpatient Infectious Diseases E-Consults at a Safety Net Healthcare System. ''Open Forum Infect Dis''. 2022 Jul; '''9''' (7):ofac341
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Machine Learning on a Robotic Platform for the Design of Polymer-Protein Hybrids. Description: Tamasi, Matthew J, et al. Machine Learning on a Robotic Platform for the Design of Polymer-Protein Hybrids. ''Adv Mater''. 2022 Jul; '''34''' (30):e2201809
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Predictive modeling of Pseudomonas syringae virulence on bean using gradient boosted decision trees. Description: Almeida, Renan N D, et al. Predictive modeling of Pseudomonas syringae virulence on bean using gradient boosted decision trees. ''PLoS Pathog''. 2022 Jul; '''18''' (7):e1010716
Simplified Machine Learning Models Can Accurately Identify High-Need High-Cost Patients With Inflammatory Bowel Disease. Description: Nguyen, Nghia H, et al. Simplified Machine Learning Models Can Accurately Identify High-Need High-Cost Patients With Inflammatory Bowel Disease. ''Clin Transl Gastroenterol''. 2022 Jul 1; '''13''' (7):e00507
A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis. Description: Green, Anna G, et al. A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis. ''Nat Commun''. 2022 Jul 2; '''13''' (1):3817
Olfactory modulation of barrel cortex activity during active whisking and passive whisker stimulation. Description: Renard, Anthony, et al. Olfactory modulation of barrel cortex activity during active whisking and passive whisker stimulation. ''Nat Commun''. 2022 Jul 2; '''13''' (1):3830
Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation. Description: Jiang, Chao, et al. Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation. ''J Med Internet Res''. 2022 Jul 6; '''24''' (7):e38584
Estimating Cardiorespiratory Fitness Without Exercise Testing or Physical Activity Status in Healthy Adults: Regression Model Development and Validation. Description: Sloan, Robert, et al. Estimating Cardiorespiratory Fitness Without Exercise Testing or Physical Activity Status in Healthy Adults: Regression Model Development and Validation. ''JMIR Public Health Surveill''. 2022 Jul 6; '''8''' (7):e34717
Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq. Description: Replogle, Joseph M, et al. Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq. ''Cell''. 2022 Jul 7; '''185''' (14):2559-2575.e28
Sero-epidemiological study of arbovirus infection following the 2015-2016 Zika virus outbreak in Cabo Verde. Description: Ward, Daniel, et al. Sero-epidemiological study of arbovirus infection following the 2015-2016 Zika virus outbreak in Cabo Verde. ''Sci Rep''. 2022 Jul 9; '''12''' (1):11719
Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers. Description: Westerman, Kenneth E, et al. Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers. ''Nat Commun''. 2022 Jul 9; '''13''' (1):3993
Explainable machine learning for real-time deterioration alert prediction to guide pre-emptive treatment. Description: Brankovic, Aida, et al. Explainable machine learning for real-time deterioration alert prediction to guide pre-emptive treatment. ''Sci Rep''. 2022 Jul 11; '''12''' (1):11734
An integrated analysis and comparison of serum, saliva and sebum for COVID-19 metabolomics. Description: Spick, Matt, et al. An integrated analysis and comparison of serum, saliva and sebum for COVID-19 metabolomics. ''Sci Rep''. 2022 Jul 13; '''12''' (1):11867
Exploring COVID-19-Related Stressors: Topic Modeling Study. Description: Leung, Yue Tong, et al. Exploring COVID-19-Related Stressors: Topic Modeling Study. ''J Med Internet Res''. 2022 Jul 13; '''24''' (7):e37142
Improved inpatient deterioration detection in general wards by using time-series vital signs. Description: Su, Chang-Fu, et al. Improved inpatient deterioration detection in general wards by using time-series vital signs. ''Sci Rep''. 2022 Jul 13; '''12''' (1):11901
Preoperative prediction of the need for arterial and central venous catheterization using machine learning techniques. Description: Suh, Jungyo, et al. Preoperative prediction of the need for arterial and central venous catheterization using machine learning techniques. ''Sci Rep''. 2022 Jul 13; '''12''' (1):11948
The rise of Indian summer monsoon precipitation extremes and its correlation with long-term changes of climate and anthropogenic factors. Description: Falga, Renaud, et al. The rise of Indian summer monsoon precipitation extremes and its correlation with long-term changes of climate and anthropogenic factors. ''Sci Rep''. 2022 Jul 14; '''12''' (1):11985
Cell Morphological Profiling Enables High-Throughput Screening for PROteolysis TArgeting Chimera (PROTAC) Phenotypic Signature. Description: Trapotsi, Maria-Anna, et al. Cell Morphological Profiling Enables High-Throughput Screening for PROteolysis TArgeting Chimera (PROTAC) Phenotypic Signature. ''ACS Chem Biol''. 2022 Jul 15; '''17''' (7):1733-1744
Insights into the Cardiotoxic Effects of Veratrum Lobelianum Alkaloids: Pilot Study. Description: Taldaev, Amir, et al. Insights into the Cardiotoxic Effects of Veratrum Lobelianum Alkaloids: Pilot Study. ''Toxins (Basel)''. 2022 Jul 15; '''14''' (7):
Machine Learning Guided Batched Design of a Bacterial Ribosome Binding Site. Description: Zhang, Mengyan, et al. Machine Learning Guided Batched Design of a Bacterial Ribosome Binding Site. ''ACS Synth Biol''. 2022 Jul 15; '''11''' (7):2314-2326
Reassessing hierarchical correspondences between brain and deep networks through direct interface. Description: Sexton, Nicholas J, et al. Reassessing hierarchical correspondences between brain and deep networks through direct interface. ''Sci Adv''. 2022 Jul 15; '''8''' (28):eabm2219
BETA: a comprehensive benchmark for computational drug-target prediction. Description: Zong, Nansu, et al. BETA: a comprehensive benchmark for computational drug-target prediction. ''Brief Bioinform''. 2022 Jul 18; '''23''' (4):
Evaluating hierarchical machine learning approaches to classify biological databases. Description: Rezende, Pamela M, et al. Evaluating hierarchical machine learning approaches to classify biological databases. ''Brief Bioinform''. 2022 Jul 18; '''23''' (4):
Omicron Binding Mode: Contact Analysis and Dynamics of the Omicron Receptor-Binding Domain in Complex with ACE2. Description: Fazekas, Zsolt, et al. Omicron Binding Mode: Contact Analysis and Dynamics of the Omicron Receptor-Binding Domain in Complex with ACE2. ''J Chem Inf Model''. 2022 Jul 18;
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization. Description: Jeon, Young-Jun, et al. TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization. ''Brief Bioinform''. 2022 Jul 18; '''23''' (4):
Mass spectrometry imaging to explore molecular heterogeneity in cell culture. Description: Bien, Tanja, et al. Mass spectrometry imaging to explore molecular heterogeneity in cell culture. ''Proc Natl Acad Sci U S A''. 2022 Jul 19; '''119''' (29):e2114365119
Use of Multiple Correspondence Analysis and K-means to Explore Associations Between Risk Factors and Likelihood of Colorectal Cancer: Cross-sectional Study. Description: Florensa, Didac, et al. Use of Multiple Correspondence Analysis and K-means to Explore Associations Between Risk Factors and Likelihood of Colorectal Cancer: Cross-sectional Study. ''J Med Internet Res''. 2022 Jul 19; '''24''' (7):e29056
Combining Machine Learning and Molecular Simulations to Unlock Gas Separation Potentials of MOF Membranes and MOF/Polymer MMMs. Description: Daglar, Hilal, et al. Combining Machine Learning and Molecular Simulations to Unlock Gas Separation Potentials of MOF Membranes and MOF/Polymer MMMs. ''ACS Appl Mater Interfaces''. 2022 Jul 20; '''14''' (28):32134-32148
Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis. Description: Skeen, Simone J, et al. Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis. ''JMIR Hum Factors''. 2022 Jul 21; '''9''' (3):e37350
Dissecting motor skill acquisition: Spatial coordinates take precedence. Description: Maceira-Elvira, Pablo, et al. Dissecting motor skill acquisition: Spatial coordinates take precedence. ''Sci Adv''. 2022 Jul 22; '''8''' (29):eabo3505
NICU Admission for Term Neonates in a Large Single-Center Population: A Comprehensive Assessment of Risk Factors Using a Tandem Analysis Approach. Description: Talisman, Shahar, et al. NICU Admission for Term Neonates in a Large Single-Center Population: A Comprehensive Assessment of Risk Factors Using a Tandem Analysis Approach. ''J Clin Med''. 2022 Jul 22; '''11''' (15):
Outcome Prediction Based on Automatically Extracted Infarct Core Image Features in Patients with Acute Ischemic Stroke. Description: Tolhuisen, Manon L, et al. Outcome Prediction Based on Automatically Extracted Infarct Core Image Features in Patients with Acute Ischemic Stroke. ''Diagnostics (Basel)''. 2022 Jul 23; '''12''' (8):
On the complexity of predicting tablet capping. Description: Meynard, J, et al. On the complexity of predicting tablet capping. ''Int J Pharm''. 2022 Jul 25; '''623''': 121949
Artificial Intelligence Accurately Detects Traumatic Thoracolumbar Fractures on Sagittal Radiographs. Description: Rosenberg, Guillermo Sanchez, et al. Artificial Intelligence Accurately Detects Traumatic Thoracolumbar Fractures on Sagittal Radiographs. ''Medicina (Kaunas)''. 2022 Jul 26; '''58''' (8):
Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms. Description: Aminosharieh Najafi, Taraneh, et al. Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms. ''Sensors (Basel)''. 2022 Jul 26; '''22''' (15):
Indoor Scene Recognition via Object Detection and TF-IDF. Description: Heikel, Edvard, et al. Indoor Scene Recognition via Object Detection and TF-IDF. ''J Imaging''. 2022 Jul 26; '''8''' (8):
Quantum Cascade Laser-Based Vibrational Circular Dichroism Augmented by a Balanced Detection Scheme. Description: Hermann, Daniel R, et al. Quantum Cascade Laser-Based Vibrational Circular Dichroism Augmented by a Balanced Detection Scheme. ''Anal Chem''. 2022 Jul 26; '''94''' (29):10384-10390
Unsupervised detection of fragment length signatures of circulating tumor DNA using non-negative matrix factorization. Description: Renaud, Gabriel, et al. Unsupervised detection of fragment length signatures of circulating tumor DNA using non-negative matrix factorization. ''Elife''. 2022 Jul 27; '''11''':
Data driven health monitoring of Peltier modules using machine-learning-methods. Description: Cotorogea, B S Paul Figueroa, et al. Data driven health monitoring of Peltier modules using machine-learning-methods. ''SLAS Technol''. 2022 Jul 29;
Deep multi-task learning and random forest for series classification by pulse sequence type and orientation. Description: Kasmanoff, Noah, et al. Deep multi-task learning and random forest for series classification by pulse sequence type and orientation. ''Neuroradiology''. 2022 Jul 30;
Learning to rank Higgs boson candidates. Description: Koppel, Marius, et al. Learning to rank Higgs boson candidates. ''Sci Rep''. 2022 Jul 30; '''12''' (1):13094
Metabolomics Markers of COVID-19 Are Dependent on Collection Wave. Description: Lewis, Holly-May, et al. Metabolomics Markers of COVID-19 Are Dependent on Collection Wave. ''Metabolites''. 2022 Jul 30; '''12''' (8):
BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection. Description: Cao, Yunlong, et al. BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection. ''Nature''. 2022 Aug; '''608''' (7923):593-602
Brain networks are decoupled from external stimuli during internal cognition. Description: Cohen, Dror, et al. Brain networks are decoupled from external stimuli during internal cognition. ''Neuroimage''. 2022 Aug 1; '''256''': 119230
Can Generative Adversarial Networks help to overcome the limited data problem in segmentation? Description: Heilemann, Gerd, et al. Can Generative Adversarial Networks help to overcome the limited data problem in segmentation? ''Z Med Phys''. 2022 Aug; '''32''' (3):361-368
Child type 1 diabetes associated with mother vaginal bacteriome and mycobiome. Description: Ruotsalainen, A L, et al. Child type 1 diabetes associated with mother vaginal bacteriome and mycobiome. ''Med Microbiol Immunol''. 2022 Aug; '''211''' (4):185-194
Deep learning-based transcription factor activity for stratification of breast cancer patients. Description: Xiong, Yuqiang, et al. Deep learning-based transcription factor activity for stratification of breast cancer patients. ''Biochim Biophys Acta Gene Regul Mech''. 2022 Aug; '''1865''' (6):194838
Defining A Global Map of Functional Group-based 3D Ligand-binding Motifs. Description: Yang, Liu, et al. Defining A Global Map of Functional Group-based 3D Ligand-binding Motifs. ''Genomics Proteomics Bioinformatics''. 2022 Aug; '''20''' (4):765-779
Development, validation and comparison of multivariable risk scores for prediction of total stroke and stroke types in Chinese adults: a prospective study of 0.5 million adults. Description: Chun, Matthew, et al. Development, validation and comparison of multivariable risk scores for prediction of total stroke and stroke types in Chinese adults: a prospective study of 0.5 million adults. ''Stroke Vasc Neurol''. 2022 Aug; '''7''' (4):328-336
Do I look like I'm sure?: Partial metacognitive access to the low-level aspects of one's own facial expressions. Description: Ciston, Anthony B, et al. Do I look like I'm sure?: Partial metacognitive access to the low-level aspects of one's own facial expressions. ''Cognition''. 2022 Aug; '''225''': 105155
Histologic Cell Shape Descriptors for the Retinal Pigment Epithelium in Age-Related Macular Degeneration: A Comparison to Unaffected Eyes. Description: von der Emde, Leon, et al. Histologic Cell Shape Descriptors for the Retinal Pigment Epithelium in Age-Related Macular Degeneration: A Comparison to Unaffected Eyes. ''Transl Vis Sci Technol''. 2022 Aug 1; '''11''' (8):19
Interpretable Machine Learning Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from Their microRNA Profiles. Description: Ogunleye, Adeolu Z, et al. Interpretable Machine Learning Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from Their microRNA Profiles. ''Adv Sci (Weinh)''. 2022 Aug; '''9''' (24):e2201501
Machine learning for prediction of schizophrenia using genetic and demographic factors in the UK biobank. Description: Bracher-Smith, Matthew, et al. Machine learning for prediction of schizophrenia using genetic and demographic factors in the UK biobank. ''Schizophr Res''. 2022 Aug; '''246''': 156-164
Methylome analysis of ALS patients and presymptomatic mutation carriers in blood cells. Description: Ruf, Wolfgang P, et al. Methylome analysis of ALS patients and presymptomatic mutation carriers in blood cells. ''Neurobiol Aging''. 2022 Aug; '''116''': 16-24
MIXTURE of human expertise and deep learning-developing an explainable model for predicting pathological diagnosis and survival in patients with interstitial lung disease. Description: Uegami, Wataru, et al. MIXTURE of human expertise and deep learning-developing an explainable model for predicting pathological diagnosis and survival in patients with interstitial lung disease. ''Mod Pathol''. 2022 Aug; '''35''' (8):1083-1091
Nuclear morphology is a deep learning biomarker of cellular senescence. Description: Heckenbach, Indra, et al. Nuclear morphology is a deep learning biomarker of cellular senescence. ''Nat Aging''. 2022 Aug; '''2''' (8):742-755
Objective evaluation of laparoscopic surgical skills in wet lab training based on motion analysis and machine learning. Description: Ebina, Koki, et al. Objective evaluation of laparoscopic surgical skills in wet lab training based on motion analysis and machine learning. ''Langenbecks Arch Surg''. 2022 Aug; '''407''' (5):2123-2132
Pointwise Visual Field Estimation From Optical Coherence Tomography in Glaucoma Using Deep Learning. Description: Hemelings, Ruben, et al. Pointwise Visual Field Estimation From Optical Coherence Tomography in Glaucoma Using Deep Learning. ''Transl Vis Sci Technol''. 2022 Aug 1; '''11''' (8):22
Synthetic bacterial community derived from a desert rhizosphere confers salt stress resilience to tomato in the presence of a soil microbiome. Description: Schmitz, Lucas, et al. Synthetic bacterial community derived from a desert rhizosphere confers salt stress resilience to tomato in the presence of a soil microbiome. ''ISME J''. 2022 Aug; '''16''' (8):1907-1920
Visual recognition of social signals by a tectothalamic neural circuit. Description: Kappel, Johannes M, et al. Visual recognition of social signals by a tectothalamic neural circuit. ''Nature''. 2022 Aug; '''608''' (7921):146-152
Who doesn't fit? A multi-institutional study using machine learning to uncover the limits of opioid prescribing guidelines. Description: Yu, Justin K, et al. Who doesn't fit? A multi-institutional study using machine learning to uncover the limits of opioid prescribing guidelines. ''Surgery''. 2022 Aug; '''172''' (2):655-662
Identifying Patients With Inflammatory Bowel Disease on Twitter and Learning From Their Personal Experience: Retrospective Cohort Study. Description: Stemmer, Maya, et al. Identifying Patients With Inflammatory Bowel Disease on Twitter and Learning From Their Personal Experience: Retrospective Cohort Study. ''J Med Internet Res''. 2022 Aug 2; '''24''' (8):e29186
NF-kappaB inhibitor alpha has a cross-variant role during SARS-CoV-2 infection in ACE2-overexpressing human airway organoids. Description: Simoneau, Camille R, et al. NF-kappaB inhibitor alpha has a cross-variant role during SARS-CoV-2 infection in ACE2-overexpressing human airway organoids. ''bioRxiv''. 2022 Aug 2;
A cross-disorder dosage sensitivity map of the human genome. Description: Collins, Ryan L, et al. A cross-disorder dosage sensitivity map of the human genome. ''Cell''. 2022 Aug 4; '''185''' (16):3041-3055.e25
Automated vetting of radiology referrals: exploring natural language processing and traditional machine learning approaches. Description: Potocnik, Jaka, et al. Automated vetting of radiology referrals: exploring natural language processing and traditional machine learning approaches. ''Insights Imaging''. 2022 Aug 4; '''13''' (1):127
Deciphering the Diversity of Mental Models in Neurodevelopmental Disorders: Knowledge Graph Representation of Public Data Using Natural Language Processing. Description: Kaur, Manpreet, et al. Deciphering the Diversity of Mental Models in Neurodevelopmental Disorders: Knowledge Graph Representation of Public Data Using Natural Language Processing. ''J Med Internet Res''. 2022 Aug 5; '''24''' (8):e39888
Chlorophyll soft-sensor based on machine learning models for algal bloom predictions. Description: Mozo, Alberto, et al. Chlorophyll soft-sensor based on machine learning models for algal bloom predictions. ''Sci Rep''. 2022 Aug 8; '''12''' (1):13529
Deep Learning-Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest Radiographs. Description: Matsumoto, Toshimasa, et al. Deep Learning-Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest Radiographs. ''J Digit Imaging''. 2022 Aug 8;
DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design. Description: Garcia-Ortegon, Miguel, et al. DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design. ''J Chem Inf Model''. 2022 Aug 8; '''62''' (15):3486-3502
Exploring the Chemical Space of Urease Inhibitors to Extract Meaningful Trends and Drivers of Activity. Description: Aniceto, Natalia, et al. Exploring the Chemical Space of Urease Inhibitors to Extract Meaningful Trends and Drivers of Activity. ''J Chem Inf Model''. 2022 Aug 8; '''62''' (15):3535-3550
MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular Design. Description: Blay, Vincent, et al. MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular Design. ''J Chem Inf Model''. 2022 Aug 8; '''62''' (15):3551-3564
Pan-cancer proteomic map of 949 human cell lines. Description: Goncalves, Emanuel, et al. Pan-cancer proteomic map of 949 human cell lines. ''Cancer Cell''. 2022 Aug 8; '''40''' (8):835-849.e8
Scarf enables a highly memory-efficient analysis of large-scale single-cell genomics data. Description: Dhapola, Parashar, et al. Scarf enables a highly memory-efficient analysis of large-scale single-cell genomics data. ''Nat Commun''. 2022 Aug 8; '''13''' (1):4616
Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types. Description: Nandi, Anirban, et al. Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types. ''Cell Rep''. 2022 Aug 9; '''40''' (6):111176
Identification of a HTT-specific binding motif in DNAJB1 essential for suppression and disaggregation of HTT. Description: Ayala Mariscal, S M, et al. Identification of a HTT-specific binding motif in DNAJB1 essential for suppression and disaggregation of HTT. ''Nat Commun''. 2022 Aug 10; '''13''' (1):4692
K-Clique Multiomics Framework: A Novel Protocol to Decipher the Role of Gut Microbiota Communities in Nutritional Intervention Trials. Description: Mengucci, Carlo, et al. K-Clique Multiomics Framework: A Novel Protocol to Decipher the Role of Gut Microbiota Communities in Nutritional Intervention Trials. ''Metabolites''. 2022 Aug 10; '''12''' (8):
A machine learning framework for discovery and enrichment of metagenomics metadata from open access publications. Description: Nassar, Maaly, et al. A machine learning framework for discovery and enrichment of metagenomics metadata from open access publications. ''Gigascience''. 2022 Aug 11; '''11''':
vRhyme enables binning of viral genomes from metagenomes. Description: Kieft, Kristopher, et al. vRhyme enables binning of viral genomes from metagenomes. ''Nucleic Acids Res''. 2022 Aug 12; '''50''' (14):e83
Dynamical Systems Model of RNA Velocity Improves Inference of Single-cell Trajectory, Pseudo-time and Gene Regulation. Description: Liu, Ruishan, et al. Dynamical Systems Model of RNA Velocity Improves Inference of Single-cell Trajectory, Pseudo-time and Gene Regulation. ''J Mol Biol''. 2022 Aug 15; '''434''' (15):167606
Methodological evaluation of individual cognitive prediction based on the brain white matter structural connectome. Description: Feng, Guozheng, et al. Methodological evaluation of individual cognitive prediction based on the brain white matter structural connectome. ''Hum Brain Mapp''. 2022 Aug 15; '''43''' (12):3775-3791
Stitching and registering highly multiplexed whole slide images of tissues and tumors using ASHLAR. Description: Muhlich, Jeremy L, et al. Stitching and registering highly multiplexed whole slide images of tissues and tumors using ASHLAR. ''Bioinformatics''. 2022 Aug 16;
Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter: Machine Learning Approach. Description: Metzler, Hannah, et al. Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter: Machine Learning Approach. ''J Med Internet Res''. 2022 Aug 17; '''24''' (8):e34705
Metagenomics versus total RNA sequencing: most accurate data-processing tools, microbial identification accuracy and perspectives for ecological assessments. Description: Hempel, Christopher A, et al. Metagenomics versus total RNA sequencing: most accurate data-processing tools, microbial identification accuracy and perspectives for ecological assessments. ''Nucleic Acids Res''. 2022 Aug 18;
Detection of Low Back Physiotherapy Exercises With Inertial Sensors and Machine Learning: Algorithm Development and Validation. Description: Alfakir, Abdalrahman, et al. Detection of Low Back Physiotherapy Exercises With Inertial Sensors and Machine Learning: Algorithm Development and Validation. ''JMIR Rehabil Assist Technol''. 2022 Aug 23; '''9''' (3):e38689
Repertoire-scale measures of antigen binding. Description: Arora, Rohit, et al. Repertoire-scale measures of antigen binding. ''Proc Natl Acad Sci U S A''. 2022 Aug 23; '''119''' (34):e2203505119
Passively Captured Interpersonal Social Interactions and Motion From Smartphones for Predicting Decompensation in Heart Failure: Observational Cohort Study. Description: Cakmak, Ayse S, et al. Passively Captured Interpersonal Social Interactions and Motion From Smartphones for Predicting Decompensation in Heart Failure: Observational Cohort Study. ''JMIR Form Res''. 2022 Aug 24; '''6''' (8):e36972
Using Machine Learning to Identify Biomarkers Affecting Fat Deposition in Pigs by Integrating Multisource Transcriptome Information. Description: Liu, Huatao, et al. Using Machine Learning to Identify Biomarkers Affecting Fat Deposition in Pigs by Integrating Multisource Transcriptome Information. ''J Agric Food Chem''. 2022 Aug 24; '''70''' (33):10359-10370
Combining Computational Screening and Machine Learning to Predict Metal-Organic Framework Adsorbents and Membranes for Removing CH4 or H2 from Air. Description: Li, Huilin, et al. Combining Computational Screening and Machine Learning to Predict Metal-Organic Framework Adsorbents and Membranes for Removing CH4 or H2 from Air. ''Membranes (Basel)''. 2022 Aug 25; '''12''' (9):
Quantitative evaluation of nonlinear methods for population structure visualization and inference. Description: Ubbens, Jordan, et al. Quantitative evaluation of nonlinear methods for population structure visualization and inference. ''G3 (Bethesda)''. 2022 Aug 25; '''12''' (9):
Integrated biosensor platform based on graphene transistor arrays for real-time high-accuracy ion sensing. Description: Xue, Mantian, et al. Integrated biosensor platform based on graphene transistor arrays for real-time high-accuracy ion sensing. ''Nat Commun''. 2022 Aug 27; '''13''' (1):5064
A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study. Description: Choudhary, Soumya, et al. A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study. ''JMIR Med Inform''. 2022 Aug 30; '''10''' (8):e38943
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis. Description: Massi, Michela Carlotta, et al. A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis. ''PLoS Comput Biol''. 2022 Sep; '''18''' (9):e1009959
AI-powered effective lens position prediction improves the accuracy of existing lens formulas. Description: Li, Tingyang, et al. AI-powered effective lens position prediction improves the accuracy of existing lens formulas. ''Br J Ophthalmol''. 2022 Sep; '''106''' (9):1222-1226
Analysis of changes in geographical factors affecting sales in commercial alleys after COVID-19 using machine learning techniques. Description: Kangjae, Lee. Analysis of changes in geographical factors affecting sales in commercial alleys after COVID-19 using machine learning techniques. ''Heliyon''. 2022 Sep; '''8''' (9):e10708
Assessment of Ligament Viscoelastic Properties Using Raman Spectroscopy. Description: Cui, Andy, et al. Assessment of Ligament Viscoelastic Properties Using Raman Spectroscopy. ''Ann Biomed Eng''. 2022 Sep; '''50''' (9):1134-1142
Automatic curation of LTR retrotransposon libraries from plant genomes through machine learning. Description: Orozco-Arias, Simon, et al. Automatic curation of LTR retrotransposon libraries from plant genomes through machine learning. ''J Integr Bioinform''. 2022 Sep 1; '''19''' (3):
BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography. Description: Moser, Felipe, et al. BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography. ''Neuroimage''. 2022 Sep; '''258''': 119341
Combined quantitative T2 mapping and [(18)F]FDG PET could improve lateralization of mesial temporal lobe epilepsy. Description: Zhang, Miao, et al. Combined quantitative T2 mapping and [(18)F]FDG PET could improve lateralization of mesial temporal lobe epilepsy. ''Eur Radiol''. 2022 Sep; '''32''' (9):6108-6117
Construction of an Assisted Model Based on Natural Language Processing for Automatic Early Diagnosis of Autoimmune Encephalitis. Description: Zhao, Yunsong, et al. Construction of an Assisted Model Based on Natural Language Processing for Automatic Early Diagnosis of Autoimmune Encephalitis. ''Neurol Ther''. 2022 Sep; '''11''' (3):1117-1134
Copper binding leads to increased dynamics in the regulatory N-terminal domain of full-length human copper transporter ATP7B. Description: Oradd, Fredrik, et al. Copper binding leads to increased dynamics in the regulatory N-terminal domain of full-length human copper transporter ATP7B. ''PLoS Comput Biol''. 2022 Sep; '''18''' (9):e1010074
DeepBindBC: A practical deep learning method for identifying native-like protein-ligand complexes in virtual screening. Description: Zhang, Haiping, et al. DeepBindBC: A practical deep learning method for identifying native-like protein-ligand complexes in virtual screening. ''Methods''. 2022 Sep; '''205''': 247-262
Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumors. Description: von Schacky, Claudio E, et al. Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumors. ''Eur Radiol''. 2022 Sep; '''32''' (9):6247-6257
Ensemble deep learning for the prediction of proficiency at a virtual simulator for robot-assisted surgery. Description: Moglia, Andrea, et al. Ensemble deep learning for the prediction of proficiency at a virtual simulator for robot-assisted surgery. ''Surg Endosc''. 2022 Sep; '''36''' (9):6473-6479
Evaluating molecular representations in machine learning models for drug response prediction and interpretability. Description: Baptista, Delora, et al. Evaluating molecular representations in machine learning models for drug response prediction and interpretability. ''J Integr Bioinform''. 2022 Sep 1; '''19''' (3):
Homogeneity and Best Practice Analyses in Hospital Performance Management: An Analytical Framework. Description: Zarrin, Mansour, et al. Homogeneity and Best Practice Analyses in Hospital Performance Management: An Analytical Framework. ''Health Care Manag Sci''. 2022 Sep; '''25''' (3):406-425
Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia. Description: Chao, Alex, et al. Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia. ''Environ Int''. 2022 Sep; '''167''': 107385
Machine-learning algorithms for asthma, COPD, and lung cancer risk assessment using circulating microbial extracellular vesicle data and their application to assess dietary effects. Description: McDowell, Andrea, et al. Machine-learning algorithms for asthma, COPD, and lung cancer risk assessment using circulating microbial extracellular vesicle data and their application to assess dietary effects. ''Exp Mol Med''. 2022 Sep; '''54''' (9):1586-1595
Phenotyping of ABCA4 Retinopathy by Machine Learning Analysis of Full-Field Electroretinography. Description: Glinton, Sophie L, et al. Phenotyping of ABCA4 Retinopathy by Machine Learning Analysis of Full-Field Electroretinography. ''Transl Vis Sci Technol''. 2022 Sep 1; '''11''' (9):34
Physicochemical Changes in Bone Bioapatite During the Late Postmortem Interval Pre- and Post-Burning. Description: Vegh, Emese I, et al. Physicochemical Changes in Bone Bioapatite During the Late Postmortem Interval Pre- and Post-Burning. ''Appl Spectrosc''. 2022 Sep; '''76''' (9):1080-1099
Real-time neurofeedback to alter interpretations of a naturalistic narrative. Description: Mennen, Anne C, et al. Real-time neurofeedback to alter interpretations of a naturalistic narrative. ''Neuroimage Rep''. 2022 Sep; '''2''' (3):
Shaping Information Processing: The Role of Oscillatory Dynamics in a Working Memory Task. Description: ElShafei, Hesham A, et al. Shaping Information Processing: The Role of Oscillatory Dynamics in a Working Memory Task. ''eNeuro''. 2022 Sep-Oct; '''9''' (5):
Spatial heterogeneity of edema region uncovers survival-relevant habitat of Glioblastoma. Description: Yang, Yang, et al. Spatial heterogeneity of edema region uncovers survival-relevant habitat of Glioblastoma. ''Eur J Radiol''. 2022 Sep; '''154''': 110423
Systematic assessment of template-based genome-scale metabolic models created with the BiGG Integration Tool. Description: Oliveira, Alexandre, et al. Systematic assessment of template-based genome-scale metabolic models created with the BiGG Integration Tool. ''J Integr Bioinform''. 2022 Sep 1; '''19''' (3):
Using automated syllable counting to detect missing information in speech transcripts from clinical settings. Description: Diaz-Asper, Marama, et al. Using automated syllable counting to detect missing information in speech transcripts from clinical settings. ''Psychiatry Res''. 2022 Sep; '''315''': 114712
Variability of strain engraftment and predictability of microbiome composition after fecal microbiota transplantation across different diseases. Description: Ianiro, Gianluca, et al. Variability of strain engraftment and predictability of microbiome composition after fecal microbiota transplantation across different diseases. ''Nat Med''. 2022 Sep; '''28''' (9):1913-1923
Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning-Based Solution. Description: Gatto, Joseph, et al. Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning-Based Solution. ''JMIR Med Inform''. 2022 Sep 2; '''10''' (9):e37770
Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays. Description: Devnath, Liton, et al. Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays. ''Int J Environ Res Public Health''. 2022 Sep 6; '''19''' (18):
Multivariate Analysis of RNA Chemistry Marks Uncovers Epitranscriptomics-Based Biomarker Signature for Adult Diffuse Glioma Diagnostics. Description: Relier, S, et al. Multivariate Analysis of RNA Chemistry Marks Uncovers Epitranscriptomics-Based Biomarker Signature for Adult Diffuse Glioma Diagnostics. ''Anal Chem''. 2022 Sep 6; '''94''' (35):11967-11972
Design metastability in high-entropy alloys by tailoring unstable fault energies. Description: Wang, Xin, et al. Design metastability in high-entropy alloys by tailoring unstable fault energies. ''Sci Adv''. 2022 Sep 9; '''8''' (36):eabo7333
Predicting Total Drug Clearance and Volumes of Distribution Using the Machine Learning-Mediated Multimodal Method through the Imputation of Various Nonclinical Data. Description: Iwata, Hiroaki, et al. Predicting Total Drug Clearance and Volumes of Distribution Using the Machine Learning-Mediated Multimodal Method through the Imputation of Various Nonclinical Data. ''J Chem Inf Model''. 2022 Sep 12; '''62''' (17):4057-4065
Random forest algorithms to classify frailty and falling history in seniors using plantar pressure measurement insoles: a large-scale feasibility study. Description: Anzai, Emi, et al. Random forest algorithms to classify frailty and falling history in seniors using plantar pressure measurement insoles: a large-scale feasibility study. ''BMC Geriatr''. 2022 Sep 12; '''22''' (1):746
Objective Monitoring of Facioscapulohumeral Dystrophy During Clinical Trials Using a Smartphone App and Wearables: Observational Study. Description: Maleki, Ghobad, et al. Objective Monitoring of Facioscapulohumeral Dystrophy During Clinical Trials Using a Smartphone App and Wearables: Observational Study. ''JMIR Form Res''. 2022 Sep 13; '''6''' (9):e31775
Comparison of ATP-binding pockets and discovery of homologous recombination inhibitors. Description: Blay, Vincent, et al. Comparison of ATP-binding pockets and discovery of homologous recombination inhibitors. ''Bioorg Med Chem''. 2022 Sep 15; '''70''': 116923
Links between host genetics, metabolism, gut microbiome and amoebic gill disease (AGD) in Atlantic salmon. Description: Schaal, Patrick, et al. Links between host genetics, metabolism, gut microbiome and amoebic gill disease (AGD) in Atlantic salmon. ''Anim Microbiome''. 2022 Sep 15; '''4''' (1):53
Analysis of the Sequence Preference of Saporin by Deep Sequencing. Description: Hauf, Samuel, et al. Analysis of the Sequence Preference of Saporin by Deep Sequencing. ''ACS Chem Biol''. 2022 Sep 16; '''17''' (9):2619-2630
A self-generated Toddler gradient guides mesodermal cell migration. Description: Stock, Jessica, et al. A self-generated Toddler gradient guides mesodermal cell migration. ''Sci Adv''. 2022 Sep 16; '''8''' (37):eadd2488
Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy. Description: Sidhom, John-William, et al. Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy. ''Sci Adv''. 2022 Sep 16; '''8''' (37):eabq5089
Prediction of Specific Anxiety Symptoms and Virtual Reality Sickness Using In Situ Autonomic Physiological Signals During Virtual Reality Treatment in Patients With Social Anxiety Disorder: Mixed Methods Study. Description: Chun, Joo Young, et al. Prediction of Specific Anxiety Symptoms and Virtual Reality Sickness Using In Situ Autonomic Physiological Signals During Virtual Reality Treatment in Patients With Social Anxiety Disorder: Mixed Methods Study. ''JMIR Serious Games''. 2022 Sep 16; '''10''' (3):e38284
Toward Better Risk Stratification for Implantable Cardioverter-Defibrillator Recipients: Implications of Explainable Machine Learning Models. Description: Deng, Yu, et al. Toward Better Risk Stratification for Implantable Cardioverter-Defibrillator Recipients: Implications of Explainable Machine Learning Models. ''J Cardiovasc Dev Dis''. 2022 Sep 17; '''9''' (9):
Predicting Therapeutic Response to Unfractionated Heparin Therapy: Machine Learning Approach. Description: Abdel-Hafez, Ahmad, et al. Predicting Therapeutic Response to Unfractionated Heparin Therapy: Machine Learning Approach. ''Interact J Med Res''. 2022 Sep 19; '''11''' (2):e34533
AI for predicting chemical-effect associations at the chemical universe level-deepFPlearn. Description: Schor, Jana, et al. AI for predicting chemical-effect associations at the chemical universe level-deepFPlearn. ''Brief Bioinform''. 2022 Sep 20; '''23''' (5):
A Novel Lightweight Approach to COVID-19 Diagnostics Based on Chest X-ray Images. Description: Gielczyk, Agata, et al. A Novel Lightweight Approach to COVID-19 Diagnostics Based on Chest X-ray Images. ''J Clin Med''. 2022 Sep 20; '''11''' (19):
Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer. Description: Vidal, Mabel, et al. Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer. ''Int J Mol Sci''. 2022 Sep 21; '''23''' (19):
Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis. Description: Soroski, Thomas, et al. Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis. ''JMIR Aging''. 2022 Sep 21; '''5''' (3):e33460
Evaluation of classification in single cell atac-seq data with machine learning methods. Description: Guo, Hongzhe, et al. Evaluation of classification in single cell atac-seq data with machine learning methods. ''BMC Bioinformatics''. 2022 Sep 21; '''23''' (Suppl 5):249
The conservation of human functional variants and their effects across livestock species. Description: Zhao, Rongrong, et al. The conservation of human functional variants and their effects across livestock species. ''Commun Biol''. 2022 Sep 21; '''5''' (1):1003
Discovery of Novel c-Jun N-Terminal Kinase 1 Inhibitors from Natural Products: Integrating Artificial Intelligence with Structure-Based Virtual Screening and Biological Evaluation. Description: Yang, Ruoqi, et al. Discovery of Novel c-Jun N-Terminal Kinase 1 Inhibitors from Natural Products: Integrating Artificial Intelligence with Structure-Based Virtual Screening and Biological Evaluation. ''Molecules''. 2022 Sep 22; '''27''' (19):
Mining Public Opinions on COVID-19 Vaccination: A Temporal Analysis to Support Combating Misinformation. Description: de Carvalho, Victor Diogho Heuer, et al. Mining Public Opinions on COVID-19 Vaccination: A Temporal Analysis to Support Combating Misinformation. ''Trop Med Infect Dis''. 2022 Sep 22; '''7''' (10):
Advanced transcriptomic analysis reveals the role of efflux pumps and media composition in antibiotic responses of Pseudomonas aeruginosa. Description: Rajput, Akanksha, et al. Advanced transcriptomic analysis reveals the role of efflux pumps and media composition in antibiotic responses of Pseudomonas aeruginosa. ''Nucleic Acids Res''. 2022 Sep 23; '''50''' (17):9675-9688
Impact of using different-sized touch keyboards on free-text keystroke dynamics authentication in the Arabic language. Description: Alsuhibany, Suliman A, et al. Impact of using different-sized touch keyboards on free-text keystroke dynamics authentication in the Arabic language. ''Sci Rep''. 2022 Sep 23; '''12''' (1):15866
Lesion identification and malignancy prediction from clinical dermatological images. Description: Xia, Meng, et al. Lesion identification and malignancy prediction from clinical dermatological images. ''Sci Rep''. 2022 Sep 23; '''12''' (1):15836
Practical Model for Residual/Recurrent Cervical Intraepithelial Lesions in Patients with Negative Margins after Cold-Knife Conization. Description: Chen, Wei, et al. Practical Model for Residual/Recurrent Cervical Intraepithelial Lesions in Patients with Negative Margins after Cold-Knife Conization. ''J Clin Med''. 2022 Sep 24; '''11''' (19):
An open-source computational tool for measuring bacterial biofilm morphology and growth kinetics upon one-sided exposure to an antimicrobial source. Description: Gingichashvili, Sarah, et al. An open-source computational tool for measuring bacterial biofilm morphology and growth kinetics upon one-sided exposure to an antimicrobial source. ''Sci Rep''. 2022 Sep 27; '''12''' (1):16125
A Virtual Sensing Concept for Nitrogen and Phosphorus Monitoring Using Machine Learning Techniques. Description: Paepae, Thulane, et al. A Virtual Sensing Concept for Nitrogen and Phosphorus Monitoring Using Machine Learning Techniques. ''Sensors (Basel)''. 2022 Sep 27; '''22''' (19):
Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adults. Description: Galkin, Fedor, et al. Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adults. ''Aging (Albany NY)''. 2022 Sep 27; '''14''' (18):7206-7222
Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth. Description: Abraham, Abin, et al. Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth. ''BMC Med''. 2022 Sep 28; '''20''' (1):333
Collision Cross Section Prediction with Molecular Fingerprint Using Machine Learning. Description: Yang, Fan, et al. Collision Cross Section Prediction with Molecular Fingerprint Using Machine Learning. ''Molecules''. 2022 Sep 29; '''27''' (19):
Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data. Description: Jiang, Xia, et al. Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data. ''J Clin Med''. 2022 Sep 29; '''11''' (19):
Pan-cancer analyses reveal cancer-type-specific fungal ecologies and bacteriome interactions. Description: Narunsky-Haziza, Lian, et al. Pan-cancer analyses reveal cancer-type-specific fungal ecologies and bacteriome interactions. ''Cell''. 2022 Sep 29; '''185''' (20):3789-3806.e17
Effective Methods Based on Distinct Learning Principles for the Analysis of Hyperspectral Images to Detect Black Sigatoka Disease. Description: Ugarte Fajardo, Jorge, et al. Effective Methods Based on Distinct Learning Principles for the Analysis of Hyperspectral Images to Detect Black Sigatoka Disease. ''Plants (Basel)''. 2022 Sep 30; '''11''' (19):
Identification of DNA methylation-regulated genes as potential biomarkers for coronary heart disease via machine learning in the Framingham Heart Study. Description: Zhang, Xiaokang, et al. Identification of DNA methylation-regulated genes as potential biomarkers for coronary heart disease via machine learning in the Framingham Heart Study. ''Clin Epigenetics''. 2022 Sep 30; '''14''' (1):122
StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy. Description: Schaduangrat, Nalini, et al. StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy. ''Sci Rep''. 2022 Sep 30; '''12''' (1):16435
A machine-learning algorithm for diagnosis of multisystem inflammatory syndrome in children and Kawasaki disease in the USA: a retrospective model development and validation study. Description: Lam, Jonathan Y, et al. A machine-learning algorithm for diagnosis of multisystem inflammatory syndrome in children and Kawasaki disease in the USA: a retrospective model development and validation study. ''Lancet Digit Health''. 2022 Oct; '''4''' (10):e717-e726
A model-based constrained deep learning clustering approach for spatially resolved single-cell data. Description: Lin, Xiang, et al. A model-based constrained deep learning clustering approach for spatially resolved single-cell data. ''Genome Res''. 2022 Oct; '''32''' (10):1906-1917
A Multiclass Classification Model for Tooth Removal Procedures. Description: de Graaf, W M, et al. A Multiclass Classification Model for Tooth Removal Procedures. ''J Dent Res''. 2022 Oct; '''101''' (11):1357-1362
A review on low-cost microscopes for Open Science. Description: Salido, Jesus, et al. A review on low-cost microscopes for Open Science. ''Microsc Res Tech''. 2022 Oct; '''85''' (10):3270-3283
Association between aerobic fitness and the functional connectome in patients with schizophrenia. Description: Roell, Lukas, et al. Association between aerobic fitness and the functional connectome in patients with schizophrenia. ''Eur Arch Psychiatry Clin Neurosci''. 2022 Oct; '''272''' (7):1253-1272
Augmented Intelligence to Identify Patients With Advanced Heart Failure in an Integrated Health System. Description: Cheema, Baljash, et al. Augmented Intelligence to Identify Patients With Advanced Heart Failure in an Integrated Health System. ''JACC Adv''. 2022 Oct; '''1''' (4):
Dnabarcoder: An open-source software package for analysing and predicting DNA sequence similarity cutoffs for fungal sequence identification. Description: Vu, Duong, et al. Dnabarcoder: An open-source software package for analysing and predicting DNA sequence similarity cutoffs for fungal sequence identification. ''Mol Ecol Resour''. 2022 Oct; '''22''' (7):2793-2809
Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma. Description: Sreejith Kumar, Ashish Jith, et al. Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma. ''JAMA Ophthalmol''. 2022 Oct 1; '''140''' (10):974-981
Genetic signature of differentiated thyroid carcinoma susceptibility: a machine learning approach. Description: Brigante, Giulia, et al. Genetic signature of differentiated thyroid carcinoma susceptibility: a machine learning approach. ''Eur Thyroid J''. 2022 Oct 1; '''11''' (5):
Inter-eye correlation analysis of 24-h IOPs and glaucoma progression. Description: Dakroub, Mohamad, et al. Inter-eye correlation analysis of 24-h IOPs and glaucoma progression. ''Graefes Arch Clin Exp Ophthalmol''. 2022 Oct; '''260''' (10):3349-3356
Learning from EMG: semi-automated grading of facial nerve function. Description: Holze, Magdalena, et al. Learning from EMG: semi-automated grading of facial nerve function. ''J Clin Monit Comput''. 2022 Oct; '''36''' (5):1509-1517
Machine learning-based prediction of insufficient contrast enhancement in coronary computed tomography angiography. Description: Lopes, R R, et al. Machine learning-based prediction of insufficient contrast enhancement in coronary computed tomography angiography. ''Eur Radiol''. 2022 Oct; '''32''' (10):7136-7145
Markov state modelling reveals heterogeneous drug-inhibition mechanism of Calmodulin. Description: Westerlund, Annie M, et al. Markov state modelling reveals heterogeneous drug-inhibition mechanism of Calmodulin. ''PLoS Comput Biol''. 2022 Oct; '''18''' (10):e1010583
Preserved anatomical bypasses predict variance in language functions after stroke. Description: Erickson, B A, et al. Preserved anatomical bypasses predict variance in language functions after stroke. ''Cortex''. 2022 Oct; '''155''': 46-61
Prioritized candidate causal haplotype blocks in plant genome-wide association studies. Description: Wu, Xing, et al. Prioritized candidate causal haplotype blocks in plant genome-wide association studies. ''PLoS Genet''. 2022 Oct; '''18''' (10):e1010437
Rapid lipid-laden plaque identification in intravascular optical coherence tomography imaging based on time-series deep learning. Description: Rico-Jimenez, Jose J, et al. Rapid lipid-laden plaque identification in intravascular optical coherence tomography imaging based on time-series deep learning. ''J Biomed Opt''. 2022 Oct; '''27''' (10):
Augmented Hill-Climb increases reinforcement learning efficiency for language-based de novo molecule generation. Description: Thomas, Morgan, et al. Augmented Hill-Climb increases reinforcement learning efficiency for language-based de novo molecule generation. ''J Cheminform''. 2022 Oct 3; '''14''' (1):68
Can You Do That Again? Time Series Consolidation as a Robust Method of Tailoring Gesture Recognition to Individual Users. Description: Dankovich, Louis J 4th, et al. Can You Do That Again? Time Series Consolidation as a Robust Method of Tailoring Gesture Recognition to Individual Users. ''Sensors (Basel)''. 2022 Oct 3; '''22''' (19):
Evaluation of magnetic resonance imaging-based radiomics characteristics for differentiation of benign and malignant peripheral nerve sheath tumors in neurofibromatosis type 1. Description: Ristow, Inka, et al. Evaluation of magnetic resonance imaging-based radiomics characteristics for differentiation of benign and malignant peripheral nerve sheath tumors in neurofibromatosis type 1. ''Neuro Oncol''. 2022 Oct 3; '''24''' (10):1790-1798
Predictive Modeling of Long-Term Glaucoma Progression Based on Initial Ophthalmic Data and Optic Nerve Head Characteristics. Description: Lee, Eun Ji, et al. Predictive Modeling of Long-Term Glaucoma Progression Based on Initial Ophthalmic Data and Optic Nerve Head Characteristics. ''Transl Vis Sci Technol''. 2022 Oct 3; '''11''' (10):24
Random-forest model for drug-target interaction prediction via Kullbeck-Leibler divergence. Description: Ahn, Sangjin, et al. Random-forest model for drug-target interaction prediction via Kullbeck-Leibler divergence. ''J Cheminform''. 2022 Oct 3; '''14''' (1):67
Tissue-specific impacts of aging and genetics on gene expression patterns in humans. Description: Yamamoto, Ryo, et al. Tissue-specific impacts of aging and genetics on gene expression patterns in humans. ''Nat Commun''. 2022 Oct 3; '''13''' (1):5803
White matter connectivity in brain networks supporting social and affective processing predicts real-world social network characteristics. Description: Hyon, Ryan, et al. White matter connectivity in brain networks supporting social and affective processing predicts real-world social network characteristics. ''Commun Biol''. 2022 Oct 3; '''5''' (1):1048
Deep learning models for histologic grading of breast cancer and association with disease prognosis. Description: Jaroensri, Ronnachai, et al. Deep learning models for histologic grading of breast cancer and association with disease prognosis. ''NPJ Breast Cancer''. 2022 Oct 4; '''8''' (1):113
Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines. Description: Fabjanowicz, Magdalena, et al. Multivariate Statistical Analysis for Mutual Dependence Assessment of Selected Polyphenols, Organic Acids and Metals in Cool-Climate Wines. ''Molecules''. 2022 Oct 4; '''27''' (19):
Optimization of Management Zone Delineation for Precision Crop Management in an Intensive Farming System. Description: Yuan, Yifan, et al. Optimization of Management Zone Delineation for Precision Crop Management in an Intensive Farming System. ''Plants (Basel)''. 2022 Oct 4; '''11''' (19):
Can Radiomics Provide Additional Information in [(18)F]FET-Negative Gliomas? Description: von Rohr, Katharina, et al. Can Radiomics Provide Additional Information in [(18)F]FET-Negative Gliomas? ''Cancers (Basel)''. 2022 Oct 5; '''14''' (19):
Label-free imaging of M1 and M2 macrophage phenotypes in the human dermis in vivo using two-photon excited FLIM. Description: Kroger, Marius, et al. Label-free imaging of M1 and M2 macrophage phenotypes in the human dermis in vivo using two-photon excited FLIM. ''Elife''. 2022 Oct 6; '''11''':
Determination of oligomeric states of proteins via dual-color colocalization with single molecule localization microscopy. Description: Tan, Hua Leonhard, et al. Determination of oligomeric states of proteins via dual-color colocalization with single molecule localization microscopy. ''Elife''. 2022 Oct 7; '''11''':
Distinct roles for the anterior temporal lobe and angular gyrus in the spatiotemporal cortical semantic network. Description: Farahibozorg, Seyedeh-Rezvan, et al. Distinct roles for the anterior temporal lobe and angular gyrus in the spatiotemporal cortical semantic network. ''Cereb Cortex''. 2022 Oct 8; '''32''' (20):4549-4564
Multimodal X-Ray Nano-Spectromicroscopy Analysis of Chemically Heterogeneous Systems. Description: Pattammattel, Ajith, et al. Multimodal X-Ray Nano-Spectromicroscopy Analysis of Chemically Heterogeneous Systems. ''Metallomics''. 2022 Oct 8; '''14''' (10):
Genome-scale metabolic network reconstructions of diverse Escherichia strains reveal strain-specific adaptations. Description: Monk, Jonathan M. Genome-scale metabolic network reconstructions of diverse Escherichia strains reveal strain-specific adaptations. ''Philos Trans R Soc Lond B Biol Sci''. 2022 Oct 10; '''377''' (1861):20210236
Learning Assurance Analysis for Further Certification Process of Machine Learning Techniques: Case-Study Air Traffic Conflict Detection Predictor. Description: Perez-Castan, Javier A, et al. Learning Assurance Analysis for Further Certification Process of Machine Learning Techniques: Case-Study Air Traffic Conflict Detection Predictor. ''Sensors (Basel)''. 2022 Oct 10; '''22''' (19):
Machine Learning for Efficient Prediction of Protein Redox Potential: The Flavoproteins Case. Description: Galuzzi, Bruno Giovanni, et al. Machine Learning for Efficient Prediction of Protein Redox Potential: The Flavoproteins Case. ''J Chem Inf Model''. 2022 Oct 10; '''62''' (19):4748-4759
Mandrake: visualizing microbial population structure by embedding millions of genomes into a low-dimensional representation. Description: Lees, John A, et al. Mandrake: visualizing microbial population structure by embedding millions of genomes into a low-dimensional representation. ''Philos Trans R Soc Lond B Biol Sci''. 2022 Oct 10; '''377''' (1861):20210237
The Sleep Well Baby project: an automated real-time sleep-wake state prediction algorithm in preterm infants. Description: Sentner, Thom, et al. The Sleep Well Baby project: an automated real-time sleep-wake state prediction algorithm in preterm infants. ''Sleep''. 2022 Oct 10; '''45''' (10):
High-content phenotyping of Parkinson's disease patient stem cell-derived midbrain dopaminergic neurons using machine learning classification. Description: Vuidel, Aurore, et al. High-content phenotyping of Parkinson's disease patient stem cell-derived midbrain dopaminergic neurons using machine learning classification. ''Stem Cell Reports''. 2022 Oct 11; '''17''' (10):2349-2364
An analysis-ready and quality controlled resource for pediatric brain white-matter research. Description: Richie-Halford, Adam, et al. An analysis-ready and quality controlled resource for pediatric brain white-matter research. ''Sci Data''. 2022 Oct 12; '''9''' (1):616
COVID19 Diagnosis Using Chest X-rays and Transfer Learning. Description: Stubblefield, Jonathan, et al. COVID19 Diagnosis Using Chest X-rays and Transfer Learning. ''medRxiv''. 2022 Oct 12;
Unravelling the Influence of Surface Modification on the Ultimate Performance of Carbon Fiber/Epoxy Composites. Description: Demchuk, Zoriana, et al. Unravelling the Influence of Surface Modification on the Ultimate Performance of Carbon Fiber/Epoxy Composites. ''ACS Appl Mater Interfaces''. 2022 Oct 12; '''14''' (40):45775-45787
A Recurrent Neural Network Model for Predicting Activated Partial Thromboplastin Time After Treatment With Heparin: Retrospective Study. Description: Boie, Sebastian Daniel, et al. A Recurrent Neural Network Model for Predicting Activated Partial Thromboplastin Time After Treatment With Heparin: Retrospective Study. ''JMIR Med Inform''. 2022 Oct 13; '''10''' (10):e39187
Activated I-BAR IRSp53 clustering controls the formation of VASP-actin-based membrane protrusions. Description: Tsai, Feng-Ching, et al. Activated I-BAR IRSp53 clustering controls the formation of VASP-actin-based membrane protrusions. ''Sci Adv''. 2022 Oct 14; '''8''' (41):eabp8677
A massively parallel reporter assay reveals focused and broadly encoded RNA localization signals in neurons. Description: Mikl, Martin, et al. A massively parallel reporter assay reveals focused and broadly encoded RNA localization signals in neurons. ''Nucleic Acids Res''. 2022 Oct 14; '''50''' (18):10643-10664
Cluster-independent marker feature identification from single-cell omics data using SEMITONES. Description: Vlot, Anna Hendrika Cornelia, et al. Cluster-independent marker feature identification from single-cell omics data using SEMITONES. ''Nucleic Acids Res''. 2022 Oct 14; '''50''' (18):e107
A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants. Description: Li, Zhiyuan, et al. A novel Ontology-guided Attribute Partitioning ensemble learning model for early prediction of cognitive deficits using quantitative Structural MRI in very preterm infants. ''Neuroimage''. 2022 Oct 15; '''260''': 119484
COVID-19 malicious domain names classification. Description: Mvula, Paul K, et al. COVID-19 malicious domain names classification. ''Expert Syst Appl''. 2022 Oct 15; '''204''': 117553
Development of a Machine Learning-Based Screening Method for Thyroid Nodules Classification by Solving the Imbalance Challenge in Thyroid Nodules Data. Description: Khodabandelu, Sajad, et al. Development of a Machine Learning-Based Screening Method for Thyroid Nodules Classification by Solving the Imbalance Challenge in Thyroid Nodules Data. ''J Res Health Sci''. 2022 Oct 19; '''22''' (3):e00555
Ferrihydrite transformations in flooded paddy soils: rates, pathways, and product spatial distributions. Description: Grigg, Andrew R C, et al. Ferrihydrite transformations in flooded paddy soils: rates, pathways, and product spatial distributions. ''Environ Sci Process Impacts''. 2022 Oct 19; '''24''' (10):1867-1882
Predicting mortality in the very old: a machine learning analysis on claims data. Description: Krasowski, Aleksander, et al. Predicting mortality in the very old: a machine learning analysis on claims data. ''Sci Rep''. 2022 Oct 19; '''12''' (1):17464
Context-dependent choice and evaluation in real-world consumer behavior. Description: Otto, A Ross, et al. Context-dependent choice and evaluation in real-world consumer behavior. ''Sci Rep''. 2022 Oct 22; '''12''' (1):17744
Neuromodulator-dependent synaptic tagging and capture retroactively controls neural coding in spiking neural networks. Description: Lehr, Andrew B, et al. Neuromodulator-dependent synaptic tagging and capture retroactively controls neural coding in spiking neural networks. ''Sci Rep''. 2022 Oct 22; '''12''' (1):17772
Transcriptome and Proteome Co-Profiling Offers an Understanding of Pre-Harvest Sprouting (PHS) Molecular Mechanisms in Wheat (Triticum aestivum). Description: Park, Sang Yong, et al. Transcriptome and Proteome Co-Profiling Offers an Understanding of Pre-Harvest Sprouting (PHS) Molecular Mechanisms in Wheat (Triticum aestivum). ''Plants (Basel)''. 2022 Oct 22; '''11''' (21):
Identification of Novel Antimicrobial Resistance Genes Using Machine Learning, Homology Modeling, and Molecular Docking. Description: Sunuwar, Janak, et al. Identification of Novel Antimicrobial Resistance Genes Using Machine Learning, Homology Modeling, and Molecular Docking. ''Microorganisms''. 2022 Oct 23; '''10''' (11):
Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques. Description: Alhakeem, Zaineb M, et al. Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques. ''Materials (Basel)''. 2022 Oct 23; '''15''' (21):
Differentiation of Geographical Origin of White and Brown Rice Samples Using NMR Spectroscopy Coupled with Machine Learning Techniques. Description: Saeed, Maham, et al. Differentiation of Geographical Origin of White and Brown Rice Samples Using NMR Spectroscopy Coupled with Machine Learning Techniques. ''Metabolites''. 2022 Oct 24; '''12''' (11):
MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model. Description: Karalidou, Vasiliki, et al. MARGINAL: An Automatic Classification of Variants in BRCA1 and BRCA2 Genes Using a Machine Learning Model. ''Biomolecules''. 2022 Oct 24; '''12''' (11):
Spatial metabolomics reveals upregulation of several pyrophosphate-producing pathways in cortical bone of Hyp mice. Description: Buck, Achim, et al. Spatial metabolomics reveals upregulation of several pyrophosphate-producing pathways in cortical bone of Hyp mice. ''JCI Insight''. 2022 Oct 24; '''7''' (20):
Chemistry-Informed Machine Learning Enables Discovery of DNA-Stabilized Silver Nanoclusters with Near-Infrared Fluorescence. Description: Mastracco, Peter, et al. Chemistry-Informed Machine Learning Enables Discovery of DNA-Stabilized Silver Nanoclusters with Near-Infrared Fluorescence. ''ACS Nano''. 2022 Oct 25; '''16''' (10):16322-16331
Does Generic Cyclic Kinase Insert Domain of Receptor Tyrosine Kinase KIT Clone Its Native Homologue? Description: Ledoux, Julie, et al. Does Generic Cyclic Kinase Insert Domain of Receptor Tyrosine Kinase KIT Clone Its Native Homologue? ''Int J Mol Sci''. 2022 Oct 25; '''23''' (21):
Application of Advanced Non-Linear Spectral Decomposition and Regression Methods for Spectroscopic Analysis of Targeted and Non-Targeted Irradiation Effects in an In-Vitro Model. Description: Slattery, Ciara, et al. Application of Advanced Non-Linear Spectral Decomposition and Regression Methods for Spectroscopic Analysis of Targeted and Non-Targeted Irradiation Effects in an In-Vitro Model. ''Int J Mol Sci''. 2022 Oct 26; '''23''' (21):
DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the alpha(+)-Thalassemia Trait Using Red Blood Cell Parameters. Description: Phirom, Krittaya, et al. DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the alpha(+)-Thalassemia Trait Using Red Blood Cell Parameters. ''J Clin Med''. 2022 Oct 26; '''11''' (21):
Estimated Roles of the Carrier and the Bacterial Strain When Methicillin-Resistant Staphylococcus aureus Decolonization Fails: a Case-Control Study. Description: Holm, Mona Katrine Alberthe, et al. Estimated Roles of the Carrier and the Bacterial Strain When Methicillin-Resistant Staphylococcus aureus Decolonization Fails: a Case-Control Study. ''Microbiol Spectr''. 2022 Oct 26; '''10''' (5):e0129622
Evaluation of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Clinical-Ultrasound Radiomic Machine Learning-Based Model. Description: Agyekum, Enock Adjei, et al. Evaluation of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Clinical-Ultrasound Radiomic Machine Learning-Based Model. ''Cancers (Basel)''. 2022 Oct 26; '''14''' (21):
MDITRE: Scalable and Interpretable Machine Learning for Predicting Host Status from Temporal Microbiome Dynamics. Description: Maringanti, Venkata Suhas, et al. MDITRE: Scalable and Interpretable Machine Learning for Predicting Host Status from Temporal Microbiome Dynamics. ''mSystems''. 2022 Oct 26; '''7''' (5):e0013222
Radiomics in PI-RADS 3 Multiparametric MRI for Prostate Cancer Identification: Literature Models Re-Implementation and Proposal of a Clinical-Radiological Model. Description: Corsi, Andrea, et al. Radiomics in PI-RADS 3 Multiparametric MRI for Prostate Cancer Identification: Literature Models Re-Implementation and Proposal of a Clinical-Radiological Model. ''J Clin Med''. 2022 Oct 26; '''11''' (21):
An Automatic Method for Assessing Spiking of Tibial Tubercles Associated with Knee Osteoarthritis. Description: Patron, Anri, et al. An Automatic Method for Assessing Spiking of Tibial Tubercles Associated with Knee Osteoarthritis. ''Diagnostics (Basel)''. 2022 Oct 27; '''12''' (11):
Autoantibody discovery across monogenic, acquired, and COVID-19-associated autoimmunity with scalable PhIP-seq. Description: Vazquez, Sara E, et al. Autoantibody discovery across monogenic, acquired, and COVID-19-associated autoimmunity with scalable PhIP-seq. ''Elife''. 2022 Oct 27; '''11''':
Modeling of energy and emissions from animal manure using machine learning methods: the case of the Western Mediterranean Region, Turkey. Description: Pence, Ihsan, et al. Modeling of energy and emissions from animal manure using machine learning methods: the case of the Western Mediterranean Region, Turkey. ''Environ Sci Pollut Res Int''. 2022 Oct 27; 1-22
Classification of Activities of Daily Living Based on Grasp Dynamics Obtained from a Leap Motion Controller. Description: Sharif, Hajar, et al. Classification of Activities of Daily Living Based on Grasp Dynamics Obtained from a Leap Motion Controller. ''Sensors (Basel)''. 2022 Oct 28; '''22''' (21):
PRIESSTESS: interpretable, high-performing models of the sequence and structure preferences of RNA-binding proteins. Description: Laverty, Kaitlin U, et al. PRIESSTESS: interpretable, high-performing models of the sequence and structure preferences of RNA-binding proteins. ''Nucleic Acids Res''. 2022 Oct 28; '''50''' (19):e111
SDN-Defend: A Lightweight Online Attack Detection and Mitigation System for DDoS Attacks in SDN. Description: Wang, Jin, et al. SDN-Defend: A Lightweight Online Attack Detection and Mitigation System for DDoS Attacks in SDN. ''Sensors (Basel)''. 2022 Oct 28; '''22''' (21):
A Robust Personalized Classification Method for Breast Cancer Metastasis Prediction. Description: Adnan, Nahim, et al. A Robust Personalized Classification Method for Breast Cancer Metastasis Prediction. ''Cancers (Basel)''. 2022 Oct 29; '''14''' (21):
Heating Control Strategy Based on Dynamic Programming for Building Energy Saving and Emission Reduction. Description: Qin, Haosen, et al. Heating Control Strategy Based on Dynamic Programming for Building Energy Saving and Emission Reduction. ''Int J Environ Res Public Health''. 2022 Oct 29; '''19''' (21):
Impaired dynamic functional brain properties and their relationship to symptoms in never treated first-episode patients with schizophrenia. Description: You, Wanfang, et al. Impaired dynamic functional brain properties and their relationship to symptoms in never treated first-episode patients with schizophrenia. ''Schizophrenia (Heidelb)''. 2022 Oct 29; '''8''' (1):90
De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution. Description: Liao, Jie, et al. De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution. ''Nat Commun''. 2022 Oct 30; '''13''' (1):6498
Absolute iodine concentration for dynamic perfusion imaging of the myocardium: improved detection of poststenotic ischaemic in a 3D-printed dynamic heart phantom. Description: Hammel, Johannes, et al. Absolute iodine concentration for dynamic perfusion imaging of the myocardium: improved detection of poststenotic ischaemic in a 3D-printed dynamic heart phantom. ''Eur Radiol Exp''. 2022 Oct 31; '''6''' (1):51
Detection of Fall Risk in Multiple Sclerosis by Gait Analysis-An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms. Description: Schumann, Paula, et al. Detection of Fall Risk in Multiple Sclerosis by Gait Analysis-An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms. ''Brain Sci''. 2022 Oct 31; '''12''' (11):
Diversities in the Gut Microbial Patterns in Patients with Atherosclerotic Cardiovascular Diseases and Certain Heart Failure Phenotypes. Description: Drapkina, Oxana M, et al. Diversities in the Gut Microbial Patterns in Patients with Atherosclerotic Cardiovascular Diseases and Certain Heart Failure Phenotypes. ''Biomedicines''. 2022 Oct 31; '''10''' (11):
Tomato Leaf Disease Recognition on Leaf Images Based on Fine-Tuned Residual Neural Networks. Description: Kanda, Paul Shekonya, et al. Tomato Leaf Disease Recognition on Leaf Images Based on Fine-Tuned Residual Neural Networks. ''Plants (Basel)''. 2022 Oct 31; '''11''' (21):
A computational modeling approach for predicting multicell spheroid patterns based on signaling-induced differential adhesion. Description: Sivakumar, Nikita, et al. A computational modeling approach for predicting multicell spheroid patterns based on signaling-induced differential adhesion. ''PLoS Comput Biol''. 2022 Nov; '''18''' (11):e1010701
Adult-born dentate granule cells promote hippocampal population sparsity. Description: McHugh, Stephen B, et al. Adult-born dentate granule cells promote hippocampal population sparsity. ''Nat Neurosci''. 2022 Nov; '''25''' (11):1481-1491
Aerosol mass and size-resolved metal content in urban Bangkok, Thailand. Description: Matthews, James C, et al. Aerosol mass and size-resolved metal content in urban Bangkok, Thailand. ''Environ Sci Pollut Res Int''. 2022 Nov; '''29''' (52):79025-79040
A Gene Expression Signature to Select Hepatocellular Carcinoma Patients for Liver Transplantation. Description: Pinto-Marques, Hugo, et al. A Gene Expression Signature to Select Hepatocellular Carcinoma Patients for Liver Transplantation. ''Ann Surg''. 2022 Nov 1; '''276''' (5):868-874
A phase I/Ib trial and biological correlate analysis of neoadjuvant SBRT with single-dose durvalumab in HPV-unrelated locally advanced HNSCC. Description: Darragh, Laurel B, et al. A phase I/Ib trial and biological correlate analysis of neoadjuvant SBRT with single-dose durvalumab in HPV-unrelated locally advanced HNSCC. ''Nat Cancer''. 2022 Nov; '''3''' (11):1300-1317
Differentiating malignant pleural mesothelioma and metastatic pleural disease based on a machine learning model with primary CT signs: A multicentre study. Description: Li, Ye, et al. Differentiating malignant pleural mesothelioma and metastatic pleural disease based on a machine learning model with primary CT signs: A multicentre study. ''Heliyon''. 2022 Nov; '''8''' (11):e11383
Epigenetic inactivation of DNA repair genes as promising prognostic and predictive biomarkers in urothelial bladder carcinoma patients. Description: Mohanad, Marwa, et al. Epigenetic inactivation of DNA repair genes as promising prognostic and predictive biomarkers in urothelial bladder carcinoma patients. ''Mol Genet Genomics''. 2022 Nov; '''297''' (6):1671-1687
External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence. Description: Hsu, William, et al. External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence. ''JAMA Netw Open''. 2022 Nov 1; '''5''' (11):e2242343
Improved pig behavior analysis by optimizing window sizes for individual behaviors on acceleration and angular velocity data. Description: Alghamdi, Saleh, et al. Improved pig behavior analysis by optimizing window sizes for individual behaviors on acceleration and angular velocity data. ''J Anim Sci''. 2022 Nov 1; '''100''' (11):
Inferring a spatial code of cell-cell interactions across a whole animal body. Description: Armingol, Erick, et al. Inferring a spatial code of cell-cell interactions across a whole animal body. ''PLoS Comput Biol''. 2022 Nov; '''18''' (11):e1010715
Introducing a gatekeeping system for amyloid status assessment in mild cognitive impairment. Description: Doering, E, et al. Introducing a gatekeeping system for amyloid status assessment in mild cognitive impairment. ''Eur J Nucl Med Mol Imaging''. 2022 Nov; '''49''' (13):4478-4489
Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events. Description: Shin, Yunseob, et al. Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events. ''Acute Crit Care''. 2022 Nov; '''37''' (4):654-666
Protein prediction models support widespread post-transcriptional regulation of protein abundance by interacting partners. Description: Srivastava, Himangi, et al. Protein prediction models support widespread post-transcriptional regulation of protein abundance by interacting partners. ''PLoS Comput Biol''. 2022 Nov; '''18''' (11):e1010702
A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer. Description: Caruso, Camillo Maria, et al. A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer. ''J Imaging''. 2022 Nov 2; '''8''' (11):
Current Applications of Artificial Intelligence to Classify Cervical Lymph Nodes in Patients with Head and Neck Squamous Cell Carcinoma-A Systematic Review. Description: Santer, Matthias, et al. Current Applications of Artificial Intelligence to Classify Cervical Lymph Nodes in Patients with Head and Neck Squamous Cell Carcinoma-A Systematic Review. ''Cancers (Basel)''. 2022 Nov 2; '''14''' (21):
Exploring Gut Microbiome in Predicting the Efficacy of Immunotherapy in Non-Small Cell Lung Cancer. Description: Liu, Ben, et al. Exploring Gut Microbiome in Predicting the Efficacy of Immunotherapy in Non-Small Cell Lung Cancer. ''Cancers (Basel)''. 2022 Nov 2; '''14''' (21):
Integrating a crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning. Description: Chen, Qiaomin, et al. Integrating a crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning. ''J Exp Bot''. 2022 Nov 2; '''73''' (19):6558-6574
Global profiling of the RNA and protein complexes of Escherichia coli by size exclusion chromatography followed by RNA sequencing and mass spectrometry (SEC-seq). Description: Chihara, Kotaro, et al. Global profiling of the RNA and protein complexes of Escherichia coli by size exclusion chromatography followed by RNA sequencing and mass spectrometry (SEC-seq). ''RNA''. 2022 Nov 3; '''29''' (1):123-39
Mesoscale cortex-wide neural dynamics predict self-initiated actions in mice several seconds prior to movement. Description: Mitelut, Catalin, et al. Mesoscale cortex-wide neural dynamics predict self-initiated actions in mice several seconds prior to movement. ''Elife''. 2022 Nov 3; '''11''':
Predicting Blood Glucose Concentration after Short-Acting Insulin Injection Using Discontinuous Injection Records. Description: Tang, Baoyu, et al. Predicting Blood Glucose Concentration after Short-Acting Insulin Injection Using Discontinuous Injection Records. ''Sensors (Basel)''. 2022 Nov 3; '''22''' (21):
Atrial Fibrillation Detection With an Analog Smartwatch: Prospective Clinical Study and Algorithm Validation. Description: Campo, David, et al. Atrial Fibrillation Detection With an Analog Smartwatch: Prospective Clinical Study and Algorithm Validation. ''JMIR Form Res''. 2022 Nov 4; '''6''' (11):e37280
Development of convolutional neural network model for diagnosing tear of anterior cruciate ligament using only one knee magnetic resonance image. Description: Shin, Hyunkwang, et al. Development of convolutional neural network model for diagnosing tear of anterior cruciate ligament using only one knee magnetic resonance image. ''Medicine (Baltimore)''. 2022 Nov 4; '''101''' (44):e31510
New Classification Method for Independent Data Sources Using Pawlak Conflict Model and Decision Trees. Description: Przybyla-Kasperek, Malgorzata, et al. New Classification Method for Independent Data Sources Using Pawlak Conflict Model and Decision Trees. ''Entropy (Basel)''. 2022 Nov 4; '''24''' (11):
Prioritizing candidate eQTL causal genes in Arabidopsis using RANDOM FORESTS. Description: Hartanto, Margi, et al. Prioritizing candidate eQTL causal genes in Arabidopsis using RANDOM FORESTS. ''G3 (Bethesda)''. 2022 Nov 4; '''12''' (11):
RNADSN: Transfer-Learning 5-Methyluridine (m(5)U) Modification on mRNAs from Common Features of tRNA. Description: Li, Zhirou, et al. RNADSN: Transfer-Learning 5-Methyluridine (m(5)U) Modification on mRNAs from Common Features of tRNA. ''Int J Mol Sci''. 2022 Nov 4; '''23''' (21):
Thermal Behavior Modeling Based on BP Neural Network in Keras Framework for Motorized Machine Tool Spindles. Description: Kosarac, Aleksandar, et al. Thermal Behavior Modeling Based on BP Neural Network in Keras Framework for Motorized Machine Tool Spindles. ''Materials (Basel)''. 2022 Nov 4; '''15''' (21):
A data driven machine learning approach to differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder based on the best-practice diagnostic instruments for autism. Description: Wolff, Nicole, et al. A data driven machine learning approach to differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder based on the best-practice diagnostic instruments for autism. ''Sci Rep''. 2022 Nov 5; '''12''' (1):18744
Application of artificial intelligence to decode the relationships between smell, olfactory receptors and small molecules. Description: Achebouche, Rayane, et al. Application of artificial intelligence to decode the relationships between smell, olfactory receptors and small molecules. ''Sci Rep''. 2022 Nov 5; '''12''' (1):18817
The use of machine learning modeling, virtual screening, molecular docking, and molecular dynamics simulations to identify potential VEGFR2 kinase inhibitors. Description: Salimi, Abbas, et al. The use of machine learning modeling, virtual screening, molecular docking, and molecular dynamics simulations to identify potential VEGFR2 kinase inhibitors. ''Sci Rep''. 2022 Nov 5; '''12''' (1):18825
Applying Deep Learning on a Few EEG Electrodes during Resting State Reveals Depressive States. A Data Driven Study. Description: Jan, Damian, et al. Applying Deep Learning on a Few EEG Electrodes during Resting State Reveals Depressive States. A Data Driven Study. ''Brain Sci''. 2022 Nov 6; '''12''' (11):
Automated Recognition of Nanoparticles in Electron Microscopy Images of Nanoscale Palladium Catalysts. Description: Boiko, Daniil A, et al. Automated Recognition of Nanoparticles in Electron Microscopy Images of Nanoscale Palladium Catalysts. ''Nanomaterials (Basel)''. 2022 Nov 6; '''12''' (21):
Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals. Description: Denes-Fazakas, Lehel, et al. Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals. ''Sensors (Basel)''. 2022 Nov 7; '''22''' (21):
Identifying psychiatric manifestations in schizophrenia and depression from audio-visual behavioural indicators through a machine-learning approach. Description: Xu, Shihao, et al. Identifying psychiatric manifestations in schizophrenia and depression from audio-visual behavioural indicators through a machine-learning approach. ''Schizophrenia (Heidelb)''. 2022 Nov 7; '''8''' (1):92
Improvement of Mucosal Lesion Diagnosis with Machine Learning Based on Medical and Semiological Data: An Observational Study. Description: Dubuc, Antoine, et al. Improvement of Mucosal Lesion Diagnosis with Machine Learning Based on Medical and Semiological Data: An Observational Study. ''J Clin Med''. 2022 Nov 7; '''11''' (21):
Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-beta oligomerization data. Description: Youn, Young Chul, et al. Prediction of amyloid PET positivity via machine learning algorithms trained with EDTA-based blood amyloid-beta oligomerization data. ''BMC Med Inform Decis Mak''. 2022 Nov 7; '''22''' (1):286
Using machine-learning strategies to solve psychometric problems. Description: Trognon, Arthur, et al. Using machine-learning strategies to solve psychometric problems. ''Sci Rep''. 2022 Nov 7; '''12''' (1):18922
Adult neurogenesis acts as a neural regularizer. Description: Tran, Lina M, et al. Adult neurogenesis acts as a neural regularizer. ''Proc Natl Acad Sci U S A''. 2022 Nov 8; '''119''' (45):e2206704119
Generalizable spelling using a speech neuroprosthesis in an individual with severe limb and vocal paralysis. Description: Metzger, Sean L, et al. Generalizable spelling using a speech neuroprosthesis in an individual with severe limb and vocal paralysis. ''Nat Commun''. 2022 Nov 8; '''13''' (1):6510
Newton-X Platform: New Software Developments for Surface Hopping and Nuclear Ensembles. Description: Barbatti, Mario, et al. Newton-X Platform: New Software Developments for Surface Hopping and Nuclear Ensembles. ''J Chem Theory Comput''. 2022 Nov 8; '''18''' (11):6851-6865
Prediction of HIV-1 protease cleavage site from octapeptide sequence information using selected classifiers and hybrid descriptors. Description: Onah, Emmanuel, et al. Prediction of HIV-1 protease cleavage site from octapeptide sequence information using selected classifiers and hybrid descriptors. ''BMC Bioinformatics''. 2022 Nov 8; '''23''' (1):466
Prognostic Model of COVID-19 Severity and Survival among Hospitalized Patients Using Machine Learning Techniques. Description: Lodato, Ivano, et al. Prognostic Model of COVID-19 Severity and Survival among Hospitalized Patients Using Machine Learning Techniques. ''Diagnostics (Basel)''. 2022 Nov 8; '''12''' (11):
Systematic tissue annotations of genomics samples by modeling unstructured metadata. Description: Hawkins, Nathaniel T, et al. Systematic tissue annotations of genomics samples by modeling unstructured metadata. ''Nat Commun''. 2022 Nov 8; '''13''' (1):6736
Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015. Description: Wong, Kingsley, et al. Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015. ''Sci Rep''. 2022 Nov 9; '''12''' (1):19153
LncDC: a machine learning-based tool for long non-coding RNA detection from RNA-Seq data. Description: Li, Minghua, et al. LncDC: a machine learning-based tool for long non-coding RNA detection from RNA-Seq data. ''Sci Rep''. 2022 Nov 9; '''12''' (1):19083
Machine learning for morbid glomerular hypertrophy. Description: Ushio, Yusuke, et al. Machine learning for morbid glomerular hypertrophy. ''Sci Rep''. 2022 Nov 9; '''12''' (1):19155
WARS1, TYMP and GBP1 display a distinctive microcirculation pattern by immunohistochemistry during antibody-mediated rejection in kidney transplantation. Description: Chauveau, Bertrand, et al. WARS1, TYMP and GBP1 display a distinctive microcirculation pattern by immunohistochemistry during antibody-mediated rejection in kidney transplantation. ''Sci Rep''. 2022 Nov 9; '''12''' (1):19094
Exploratory Analysis of the Sasang Constitution by Combining Network Analysis and Information Entropy. Description: Lee, Won-Yung, et al. Exploratory Analysis of the Sasang Constitution by Combining Network Analysis and Information Entropy. ''Healthcare (Basel)''. 2022 Nov 10; '''10''' (11):
Faecal microbiome-based machine learning for multi-class disease diagnosis. Description: Su, Qi, et al. Faecal microbiome-based machine learning for multi-class disease diagnosis. ''Nat Commun''. 2022 Nov 10; '''13''' (1):6818
Machine learning-based assessment of storm surge in the New York metropolitan area. Description: Ayyad, Mahmoud, et al. Machine learning-based assessment of storm surge in the New York metropolitan area. ''Sci Rep''. 2022 Nov 10; '''12''' (1):19215
Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images. Description: Voon, Wingates, et al. Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images. ''Sci Rep''. 2022 Nov 10; '''12''' (1):19200
Stressors and Destressors in Working From Home Based on Context and Physiology From Self-Reports and Smartwatch Measurements: International Observational Study Trial. Description: Tump, Danielle, et al. Stressors and Destressors in Working From Home Based on Context and Physiology From Self-Reports and Smartwatch Measurements: International Observational Study Trial. ''JMIR Form Res''. 2022 Nov 10; '''6''' (11):e38562
Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning. Description: Rennert-May, Elissa, et al. Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning. ''Antimicrob Resist Infect Control''. 2022 Nov 10; '''11''' (1):138
Long-read single-molecule RNA structure sequencing using nanopore. Description: Bizuayehu, Teshome Tilahun, et al. Long-read single-molecule RNA structure sequencing using nanopore. ''Nucleic Acids Res''. 2022 Nov 11; '''50''' (20):e120
Combining genetic constraint with predictions of alternative splicing to prioritize deleterious splicing in rare disease studies. Description: Cormier, Michael J, et al. Combining genetic constraint with predictions of alternative splicing to prioritize deleterious splicing in rare disease studies. ''BMC Bioinformatics''. 2022 Nov 14; '''23''' (1):482
Diagnosis of Epilepsy with Functional Connectivity in EEG after a Suspected First Seizure. Description: Matos, Joao, et al. Diagnosis of Epilepsy with Functional Connectivity in EEG after a Suspected First Seizure. ''Bioengineering (Basel)''. 2022 Nov 14; '''9''' (11):
Intrinsic brain dynamics in the Default Mode Network predict involuntary fluctuations of visual awareness. Description: Lyu, Dian, et al. Intrinsic brain dynamics in the Default Mode Network predict involuntary fluctuations of visual awareness. ''Nat Commun''. 2022 Nov 14; '''13''' (1):6923
metaMIC: reference-free misassembly identification and correction of de novo metagenomic assemblies. Description: Lai, Senying, et al. metaMIC: reference-free misassembly identification and correction of de novo metagenomic assemblies. ''Genome Biol''. 2022 Nov 14; '''23''' (1):242
Multi-omic Characterization of Pancreatic Ductal Adenocarcinoma Relates CXCR4 mRNA Expression Levels to Potential Clinical Targets. Description: Kocher, Florian, et al. Multi-omic Characterization of Pancreatic Ductal Adenocarcinoma Relates CXCR4 mRNA Expression Levels to Potential Clinical Targets. ''Clin Cancer Res''. 2022 Nov 14; '''28''' (22):4957-4967
Machine learning of large-scale multimodal brain imaging data reveals neural correlates of hand preference. Description: Chormai, Pattarawat, et al. Machine learning of large-scale multimodal brain imaging data reveals neural correlates of hand preference. ''Neuroimage''. 2022 Nov 15; '''262''': 119534
Promoter sequence and architecture determine expression variability and confer robustness to genetic variants. Description: Einarsson, Hjorleifur, et al. Promoter sequence and architecture determine expression variability and confer robustness to genetic variants. ''Elife''. 2022 Nov 15; '''11''':
Tumor-Derived Extracellular Vesicles Predict Clinical Outcomes in Oligometastatic Prostate Cancer and Suppress Antitumor Immunity. Description: Lucien, Fabrice, et al. Tumor-Derived Extracellular Vesicles Predict Clinical Outcomes in Oligometastatic Prostate Cancer and Suppress Antitumor Immunity. ''Int J Radiat Oncol Biol Phys''. 2022 Nov 15; '''114''' (4):725-737
Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation. Description: Yucel, Meric, et al. Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation. ''Entropy (Basel)''. 2022 Nov 17; '''24''' (11):
Gut microbiota analysis for prediction of clinical relapse in Crohn's disease. Description: Buffet-Bataillon, Sylvie, et al. Gut microbiota analysis for prediction of clinical relapse in Crohn's disease. ''Sci Rep''. 2022 Nov 19; '''12''' (1):19929
Function Prediction of Peptide Toxins with Sequence-Based Multi-Tasking PU Learning Method. Description: Chu, Yanyan, et al. Function Prediction of Peptide Toxins with Sequence-Based Multi-Tasking PU Learning Method. ''Toxins (Basel)''. 2022 Nov 21; '''14''' (11):
Impact of cultural and genetic structure on food choices along the Silk Road. Description: Aneli, Serena, et al. Impact of cultural and genetic structure on food choices along the Silk Road. ''Proc Natl Acad Sci U S A''. 2022 Nov 22; '''119''' (47):e2209311119
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Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods. Description: Ren, Jingxin, et al. Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods. ''Life (Basel)''. 2022 Nov 23; '''12''' (12):
Predicting the risk of osteoporosis in older Vietnamese women using machine learning approaches. Description: Bui, Hanh My, et al. Predicting the risk of osteoporosis in older Vietnamese women using machine learning approaches. ''Sci Rep''. 2022 Nov 23; '''12''' (1):20160
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Diagnostic performance of attenuated total reflection Fourier-transform infrared spectroscopy for detecting COVID-19 from routine nasopharyngeal swab samples. Description: Heino, Helina, et al. Diagnostic performance of attenuated total reflection Fourier-transform infrared spectroscopy for detecting COVID-19 from routine nasopharyngeal swab samples. ''Sci Rep''. 2022 Nov 27; '''12''' (1):20358
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Impact of depressed state on attention and language processing during news broadcasts: EEG analysis and machine learning approach. Description: Fuseda, Kohei, et al. Impact of depressed state on attention and language processing during news broadcasts: EEG analysis and machine learning approach. ''Sci Rep''. 2022 Nov 28; '''12''' (1):20492
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Qualitative Estimation of Protein-Ligand Complex Stability through Thermal Titration Molecular Dynamics Simulations. Description: Pavan, Matteo, et al. Qualitative Estimation of Protein-Ligand Complex Stability through Thermal Titration Molecular Dynamics Simulations. ''J Chem Inf Model''. 2022 Nov 28; '''62''' (22):5715-5728
SOTIP is a versatile method for microenvironment modeling with spatial omics data. Description: Yuan, Zhiyuan, et al. SOTIP is a versatile method for microenvironment modeling with spatial omics data. ''Nat Commun''. 2022 Nov 28; '''13''' (1):7330
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Causal analysis and visualization of magnetization reversal using feature extended landau free energy. Description: Kunii, Sotaro, et al. Causal analysis and visualization of magnetization reversal using feature extended landau free energy. ''Sci Rep''. 2022 Nov 29; '''12''' (1):19892
Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach. Description: Lathouwers, Elke, et al. Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach. ''BMC Public Health''. 2022 Nov 29; '''22''' (1):2210
Medication adherence prediction through temporal modelling in cardiovascular disease management. Description: Hsu, William, et al. Medication adherence prediction through temporal modelling in cardiovascular disease management. ''BMC Med Inform Decis Mak''. 2022 Nov 29; '''22''' (1):313
Persistent alveolar type 2 dysfunction and lung structural derangement in post-acute COVID-19. Description: Rendeiro, Andre F, et al. Persistent alveolar type 2 dysfunction and lung structural derangement in post-acute COVID-19. ''medRxiv''. 2022 Nov 29;
E-SNPs&GO: embedding of protein sequence and function improves the annotation of human pathogenic variants. Description: Manfredi, Matteo, et al. E-SNPs&GO: embedding of protein sequence and function improves the annotation of human pathogenic variants. ''Bioinformatics''. 2022 Nov 30; '''38''' (23):5168-5174
Natural Compounds as Non-Nucleoside Inhibitors of Zika Virus Polymerase through Integration of In Silico and In Vitro Approaches. Description: Ramos, Paulo Ricardo Pimenta da Silva, et al. Natural Compounds as Non-Nucleoside Inhibitors of Zika Virus Polymerase through Integration of In Silico and In Vitro Approaches. ''Pharmaceuticals (Basel)''. 2022 Nov 30; '''15''' (12):
Social determinants of health and the prediction of missed breast imaging appointments. Description: Sotudian, Shahabeddin, et al. Social determinants of health and the prediction of missed breast imaging appointments. ''BMC Health Serv Res''. 2022 Nov 30; '''22''' (1):1454
The Passive Monitoring of Depression and Anxiety Among Workers Using Digital Biomarkers Based on Their Physical Activity and Working Conditions: 2-Week Longitudinal Study. Description: Watanabe, Kazuhiro, et al. The Passive Monitoring of Depression and Anxiety Among Workers Using Digital Biomarkers Based on Their Physical Activity and Working Conditions: 2-Week Longitudinal Study. ''JMIR Form Res''. 2022 Nov 30; '''6''' (11):e40339
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Aging is associated with a systemic length-associated transcriptome imbalance. Description: Stoeger, Thomas, et al. Aging is associated with a systemic length-associated transcriptome imbalance. ''Nat Aging''. 2022 Dec; '''2''' (12):1191-1206
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A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients. Description: Arezzo, Francesca, et al. A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients. ''Arch Gynecol Obstet''. 2022 Dec; '''306''' (6):2143-2154
Automated recognition of functioning, activity and participation in COVID-19 from electronic patient records by natural language processing: a proof- of- concept. Description: Meskers, Carel G M, et al. Automated recognition of functioning, activity and participation in COVID-19 from electronic patient records by natural language processing: a proof- of- concept. ''Ann Med''. 2022 Dec; '''54''' (1):235-243
Combining Donor-derived Cell-free DNA Fraction and Quantity to Detect Kidney Transplant Rejection Using Molecular Diagnoses and Histology as Confirmation. Description: Halloran, Philip F, et al. Combining Donor-derived Cell-free DNA Fraction and Quantity to Detect Kidney Transplant Rejection Using Molecular Diagnoses and Histology as Confirmation. ''Transplantation''. 2022 Dec 1; '''106''' (12):2435-2442
Deep learning analysis of clinical course of primary nephrotic syndrome: Japan Nephrotic Syndrome Cohort Study (JNSCS). Description: Kimura, Tomonori, et al. Deep learning analysis of clinical course of primary nephrotic syndrome: Japan Nephrotic Syndrome Cohort Study (JNSCS). ''Clin Exp Nephrol''. 2022 Dec; '''26''' (12):1170-1179
Detection of m6A from direct RNA sequencing using a multiple instance learning framework. Description: Hendra, Christopher, et al. Detection of m6A from direct RNA sequencing using a multiple instance learning framework. ''Nat Methods''. 2022 Dec; '''19''' (12):1590-1598
Development and Validation of a Machine Learning Model to Estimate Risk of Adverse Outcomes Within 30 Days of Opioid Dispensation. Description: Sharma, Vishal, et al. Development and Validation of a Machine Learning Model to Estimate Risk of Adverse Outcomes Within 30 Days of Opioid Dispensation. ''JAMA Netw Open''. 2022 Dec 1; '''5''' (12):e2248559
Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration. Description: Shim, Soyun, et al. Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration. ''Clin Exp Emerg Med''. 2022 Dec; '''9''' (4):345-353
Development and Validation of MRI-Based Radiomics Models for Diagnosing Juvenile Myoclonic Epilepsy. Description: Kim, Kyung Min, et al. Development and Validation of MRI-Based Radiomics Models for Diagnosing Juvenile Myoclonic Epilepsy. ''Korean J Radiol''. 2022 Dec; '''23''' (12):1281-1289
Development and validation of retrospective electronic frailty index using operational data of aged care homes. Description: Sarwar, Tabinda, et al. Development and validation of retrospective electronic frailty index using operational data of aged care homes. ''BMC Geriatr''. 2022 Dec 1; '''22''' (1):922
Development of revised diagnostic criteria for Fuchs' uveitis syndrome in a Chinese population. Description: Yang, Peizeng, et al. Development of revised diagnostic criteria for Fuchs' uveitis syndrome in a Chinese population. ''Br J Ophthalmol''. 2022 Dec; '''106''' (12):1678-1683
Fast and scalable search of whole-slide images via self-supervised deep learning. Description: Chen, Chengkuan, et al. Fast and scalable search of whole-slide images via self-supervised deep learning. ''Nat Biomed Eng''. 2022 Dec; '''6''' (12):1420-1434
Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework. Description: Wang, Yansong, et al. Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework. ''PLoS Comput Biol''. 2022 Dec; '''18''' (12):e1010779
Insight into the nonlinear effect of COVID-19 on well-being in China: Commuting, a vital ingredient. Description: Dong, Yinan, et al. Insight into the nonlinear effect of COVID-19 on well-being in China: Commuting, a vital ingredient. ''J Transp Health''. 2022 Dec; '''27''': 101526
In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR Approach. Description: Daghighi, Amirreza, et al. In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR Approach. ''Toxics''. 2022 Dec 1; '''10''' (12):
L-DOPA enhances neural direction signals in younger and older adults. Description: Koch, Christoph, et al. L-DOPA enhances neural direction signals in younger and older adults. ''Neuroimage''. 2022 Dec 1; '''264''': 119670
Non-hyperaemic assessment of coronary ischaemia: application of machine learning techniques. Description: Cameron, James N, et al. Non-hyperaemic assessment of coronary ischaemia: application of machine learning techniques. ''Eur Heart J Digit Health''. 2022 Dec; '''3''' (4):505-515
Prediction of left lobe hypertrophy after right lobe radioembolization of the liver using a clinical data model with external validation. Description: Theysohn, Jens M, et al. Prediction of left lobe hypertrophy after right lobe radioembolization of the liver using a clinical data model with external validation. ''Sci Rep''. 2022 Dec 1; '''12''' (1):20718
Prediction of Mefenamic Acid Crystal Shape by Random Forest Classification. Description: Nakapraves, Siya, et al. Prediction of Mefenamic Acid Crystal Shape by Random Forest Classification. ''Pharm Res''. 2022 Dec; '''39''' (12):3099-3111
Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force. Description: Sedlaczek, Oliver Lukas, et al. Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force. ''Eur Radiol''. 2022 Dec; '''32''' (12):8617-8628
Ras drives malignancy through stem cell crosstalk with the microenvironment. Description: Yuan, Shaopeng, et al. Ras drives malignancy through stem cell crosstalk with the microenvironment. ''Nature''. 2022 Dec; '''612''' (7940):555-563
Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation. Description: Coulier, Adrien, et al. Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation. ''PLoS Comput Biol''. 2022 Dec; '''18''' (12):e1010683
The potential of rectal swabs to differentiate simple and complex appendicitis in children with a microbiota-based test. Description: The potential of rectal swabs to differentiate simple and complex appendicitis in children with a microbiota-based test. ''''. 2022 Dec; '''181''' (12):4221-4226
Using an Automated Speech Recognition Approach to Differentiate Between Normal and Aspirating Swallowing Sounds Recorded from Digital Cervical Auscultation in Children. Description: Frakking, Thuy T, et al. Using an Automated Speech Recognition Approach to Differentiate Between Normal and Aspirating Swallowing Sounds Recorded from Digital Cervical Auscultation in Children. ''Dysphagia''. 2022 Dec; '''37''' (6):1482-1492
Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time. Description: Jing, Xueping, et al. Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time. ''Eur Radiol''. 2022 Dec; '''32''' (12):8706-8715
Ventral tegmental area integrity measured with high-resolution 7-Tesla MRI relates to motivation across depression and anxiety diagnoses. Description: Morris, Laurel S, et al. Ventral tegmental area integrity measured with high-resolution 7-Tesla MRI relates to motivation across depression and anxiety diagnoses. ''Neuroimage''. 2022 Dec 1; '''264''': 119704
(18)F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy. Description: Wiltgen, Tun, et al. (18)F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy. ''Radiat Oncol''. 2022 Dec 2; '''17''' (1):198
Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding. Description: Melbaum, Svenja, et al. Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding. ''Nat Commun''. 2022 Dec 2; '''13''' (1):7420
Development of Prediction Models for Acute Myocardial Infarction at Prehospital Stage with Machine Learning Based on a Nationwide Database. Description: Choi, Arom, et al. Development of Prediction Models for Acute Myocardial Infarction at Prehospital Stage with Machine Learning Based on a Nationwide Database. ''J Cardiovasc Dev Dis''. 2022 Dec 2; '''9''' (12):
A framework for clinical cancer subtyping from nucleosome profiling of cell-free DNA. Description: Doebley, Anna-Lisa, et al. A framework for clinical cancer subtyping from nucleosome profiling of cell-free DNA. ''Nat Commun''. 2022 Dec 3; '''13''' (1):7475
Disease Recognition in X-ray Images with Doctor Consultation-Inspired Model. Description: Phung, Kim Anh, et al. Disease Recognition in X-ray Images with Doctor Consultation-Inspired Model. ''J Imaging''. 2022 Dec 5; '''8''' (12):
Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions. Description: Storman, Dawid, et al. Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions. ''JMIR Ment Health''. 2022 Dec 5; '''9''' (12):e36056
Proteins in Tumor-Derived Plasma Extracellular Vesicles Indicate Tumor Origin. Description: Barlin, Meltem, et al. Proteins in Tumor-Derived Plasma Extracellular Vesicles Indicate Tumor Origin. ''Mol Cell Proteomics''. 2022 Dec 5; '''22''' (1):100476
Next generation genetically encoded fluorescent sensors for serotonin. Description: Kubitschke, Martin, et al. Next generation genetically encoded fluorescent sensors for serotonin. ''Nat Commun''. 2022 Dec 6; '''13''' (1):7525
The molecular basis for pore pattern morphogenesis in diatom silica. Description: Heintze, Christoph, et al. The molecular basis for pore pattern morphogenesis in diatom silica. ''Proc Natl Acad Sci U S A''. 2022 Dec 6; '''119''' (49):e2211549119
Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models. Description: Ferrante, Matteo, et al. Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models. ''J Clin Med''. 2022 Dec 9; '''11''' (24):
Discrepancy of C-Reactive Protein, Procalcitonin and Interleukin-6 at Hospitalization: Infection in Patients with Normal C-Reactive Protein, Procalcitonin and High Interleukin-6 Values. Description: Lee, Eun-Hwa, et al. Discrepancy of C-Reactive Protein, Procalcitonin and Interleukin-6 at Hospitalization: Infection in Patients with Normal C-Reactive Protein, Procalcitonin and High Interleukin-6 Values. ''J Clin Med''. 2022 Dec 9; '''11''' (24):
Emati: a recommender system for biomedical literature based on supervised learning. Description: Kart, Ozge, et al. Emati: a recommender system for biomedical literature based on supervised learning. ''Database (Oxford)''. 2022 Dec 9; '''2022''':
The COVID-19 Infodemic on Twitter: A Space and Time Topic Analysis of the Brazilian Immunization Program and Public Trust. Description: de Carvalho, Victor Diogho Heuer, et al. The COVID-19 Infodemic on Twitter: A Space and Time Topic Analysis of the Brazilian Immunization Program and Public Trust. ''Trop Med Infect Dis''. 2022 Dec 9; '''7''' (12):
Establishment of multi-stage intravenous self-administration paradigms in mice. Description: Slosky, Lauren M, et al. Establishment of multi-stage intravenous self-administration paradigms in mice. ''Sci Rep''. 2022 Dec 11; '''12''' (1):21422
Frailty, Comorbidity, and Associations With In-Hospital Mortality in Older COVID-19 Patients: Exploratory Study of Administrative Data. Description: Heyl, Johannes, et al. Frailty, Comorbidity, and Associations With In-Hospital Mortality in Older COVID-19 Patients: Exploratory Study of Administrative Data. ''Interact J Med Res''. 2022 Dec 12; '''11''' (2):e41520
High-resolution single-cell atlas reveals diversity and plasticity of tissue-resident neutrophils in non-small cell lung cancer. Description: Salcher, Stefan, et al. High-resolution single-cell atlas reveals diversity and plasticity of tissue-resident neutrophils in non-small cell lung cancer. ''Cancer Cell''. 2022 Dec 12; '''40''' (12):1503-1520.e8
A Novel Approach to Characterize State-level Food Environment and Predict Obesity Rate Using Social Media Data: Correlational Study. Description: Li, Chuqin, et al. A Novel Approach to Characterize State-level Food Environment and Predict Obesity Rate Using Social Media Data: Correlational Study. ''J Med Internet Res''. 2022 Dec 13; '''24''' (12):e39340
Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea. Description: Lee, Seungseok, et al. Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea. ''J Med Internet Res''. 2022 Dec 13; '''24''' (12):e43757
Predicting Frequency from the External Chemical Environment: OH Vibrations on Hydrated and Hydroxylated Surfaces. Description: Rockert, Andreas, et al. Predicting Frequency from the External Chemical Environment: OH Vibrations on Hydrated and Hydroxylated Surfaces. ''J Chem Theory Comput''. 2022 Dec 13; '''18''' (12):7683-7694
Asymmetric signaling across the hierarchy of cytoarchitecture within the human connectome. Description: Parkes, Linden, et al. Asymmetric signaling across the hierarchy of cytoarchitecture within the human connectome. ''Sci Adv''. 2022 Dec 14; '''8''' (50):eadd2185
Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory. Description: Bennett, Casey C, et al. Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory. ''NPJ Digit Med''. 2022 Dec 14; '''5''' (1):181
Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal. Description: Islam, Mohammed Saidul, et al. Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal. ''Sensors (Basel)''. 2022 Dec 15; '''22''' (24):
Functional and Taxonomic Traits of the Gut Microbiota in Type 1 Diabetes Children at the Onset: A Metaproteomic Study. Description: Levi Mortera, Stefano, et al. Functional and Taxonomic Traits of the Gut Microbiota in Type 1 Diabetes Children at the Onset: A Metaproteomic Study. ''Int J Mol Sci''. 2022 Dec 15; '''23''' (24):
Machine Learning Based Prediction of Gamma Passing Rate for VMAT Radiotherapy Plans. Description: Sadowski, Bartlomiej, et al. Machine Learning Based Prediction of Gamma Passing Rate for VMAT Radiotherapy Plans. ''J Pers Med''. 2022 Dec 15; '''12''' (12):
A statistical learning protocol to resolve the morphological complexity of two-dimensional macromolecules. Description: Zhao, Yingjie, et al. A statistical learning protocol to resolve the morphological complexity of two-dimensional macromolecules. ''STAR Protoc''. 2022 Dec 16; '''3''' (4):101767
Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity. Description: Samaddar, Poulami, et al. Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity. ''Sensors (Basel)''. 2022 Dec 16; '''22''' (24):
The effect of tumor shape irregularity on Gamma Knife treatment plan quality and treatment outcome: an analysis of 234 vestibular schwannomas. Description: Sumer, Esra, et al. The effect of tumor shape irregularity on Gamma Knife treatment plan quality and treatment outcome: an analysis of 234 vestibular schwannomas. ''Sci Rep''. 2022 Dec 17; '''12''' (1):21809
In silico identification of multiple conserved motifs within the control region of Culicidae mitogenomes. Description: Harrison, Thomas M R, et al. In silico identification of multiple conserved motifs within the control region of Culicidae mitogenomes. ''Sci Rep''. 2022 Dec 19; '''12''' (1):21920
Radiomics Analysis of Magnetic Resonance Proton Density Fat Fraction for the Diagnosis of Hepatic Steatosis in Patients With Suspected Non-Alcoholic Fatty Liver Disease. Description: Sim, Ki Choon, et al. Radiomics Analysis of Magnetic Resonance Proton Density Fat Fraction for the Diagnosis of Hepatic Steatosis in Patients With Suspected Non-Alcoholic Fatty Liver Disease. ''J Korean Med Sci''. 2022 Dec 19; '''37''' (49):e339
Machine learning shows torsion angle preferences in left-handed and right-handed quadruplex DNAs. Description: Li, Kevin, et al. Machine learning shows torsion angle preferences in left-handed and right-handed quadruplex DNAs. ''Biophys J''. 2022 Dec 20; '''121''' (24):4874-4881
Material Stock and Embodied Greenhouse Gas Emissions of Global and Urban Road Pavement. Description: Rousseau, Lola S A, et al. Material Stock and Embodied Greenhouse Gas Emissions of Global and Urban Road Pavement. ''Environ Sci Technol''. 2022 Dec 20; '''56''' (24):18050-18059
Pan-Genome Analysis of Transcriptional Regulation in Six Salmonella enterica Serovar Typhimurium Strains Reveals Their Different Regulatory Structures. Description: Yuan, Yuan, et al. Pan-Genome Analysis of Transcriptional Regulation in Six Salmonella enterica Serovar Typhimurium Strains Reveals Their Different Regulatory Structures. ''mSystems''. 2022 Dec 20; '''7''' (6):e0046722
A machine learning approach to analyse ozone concentration in metropolitan area of Lima, Peru. Description: Carbo-Bustinza, Natali, et al. A machine learning approach to analyse ozone concentration in metropolitan area of Lima, Peru. ''Sci Rep''. 2022 Dec 21; '''12''' (1):22084
Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions. Description: Zbinden, Lukas, et al. Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions. ''Sci Rep''. 2022 Dec 21; '''12''' (1):22059
Genetic Features of Mycobacterium avium subsp. paratuberculosis Strains Circulating in the West of France Deciphered by Whole-Genome Sequencing. Description: Conde, Cyril, et al. Genetic Features of Mycobacterium avium subsp. paratuberculosis Strains Circulating in the West of France Deciphered by Whole-Genome Sequencing. ''Microbiol Spectr''. 2022 Dec 21; '''10''' (6):e0339222
SourceFinder: a Machine-Learning-Based Tool for Identification of Chromosomal, Plasmid, and Bacteriophage Sequences from Assemblies. Description: Aytan-Aktug, Derya, et al. SourceFinder: a Machine-Learning-Based Tool for Identification of Chromosomal, Plasmid, and Bacteriophage Sequences from Assemblies. ''Microbiol Spectr''. 2022 Dec 21; '''10''' (6):e0264122
The Effect of Nonpharmaceutical Interventions Implemented in Response to the COVID-19 Pandemic on Seasonal Respiratory Syncytial Virus: Analysis of Google Trends Data. Description: Ravkin, Hersh D, et al. The Effect of Nonpharmaceutical Interventions Implemented in Response to the COVID-19 Pandemic on Seasonal Respiratory Syncytial Virus: Analysis of Google Trends Data. ''J Med Internet Res''. 2022 Dec 21; '''24''' (12):e42781
The Microbial and Metabolic Signatures of Patients with Stable Coronary Artery Disease. Description: Zhong, Jing, et al. The Microbial and Metabolic Signatures of Patients with Stable Coronary Artery Disease. ''Microbiol Spectr''. 2022 Dec 21; '''10''' (6):e0246722
A network approach for low dimensional signatures from high throughput data. Description: Curti, Nico, et al. A network approach for low dimensional signatures from high throughput data. ''Sci Rep''. 2022 Dec 23; '''12''' (1):22253
Machine learning framework for gut microbiome biomarkers discovery and modulation analysis in large-scale obese population. Description: Liu, Yaoliang, et al. Machine learning framework for gut microbiome biomarkers discovery and modulation analysis in large-scale obese population. ''BMC Genomics''. 2022 Dec 23; '''23''' (1):850
SIMBSIG: Similarity search and clustering for biobank-scale data. Description: Adamer, Michael F, et al. SIMBSIG: Similarity search and clustering for biobank-scale data. ''Bioinformatics''. 2022 Dec 23; '''39''' (1):
Gut metagenome profile of the Nunavik Inuit youth is distinct from industrial and non-industrial counterparts. Description: Abed, Jehane Y, et al. Gut metagenome profile of the Nunavik Inuit youth is distinct from industrial and non-industrial counterparts. ''Commun Biol''. 2022 Dec 24; '''5''' (1):1415
An accurate prediction of the origin for bone metastatic cancer using deep learning on digital pathological images. Description: Zhu, Lianghui, et al. An accurate prediction of the origin for bone metastatic cancer using deep learning on digital pathological images. ''EBioMedicine''. 2022 Dec 26; '''87''': 104426
Body Mass Index and Caries: Machine Learning and Statistical Analytics of the Dental, Oral, Medical Epidemiological (DOME) Nationwide Big Data Study. Description: Ben-Assuli, Ofir, et al. Body Mass Index and Caries: Machine Learning and Statistical Analytics of the Dental, Oral, Medical Epidemiological (DOME) Nationwide Big Data Study. ''Metabolites''. 2022 Dec 26; '''13''' (1):
Diagnostic signature for heart failure with preserved ejection fraction (HFpEF): a machine learning approach using multi-modality electronic health record data. Description: Farajidavar, Nazli, et al. Diagnostic signature for heart failure with preserved ejection fraction (HFpEF): a machine learning approach using multi-modality electronic health record data. ''BMC Cardiovasc Disord''. 2022 Dec 26; '''22''' (1):567
Comparative epigenomics by machine learning approach for neuroblastoma. Description: Sugino, Ryuichi P, et al. Comparative epigenomics by machine learning approach for neuroblastoma. ''BMC Genomics''. 2022 Dec 27; '''23''' (1):852
Computational chromatography: A machine learning strategy for demixing individual chemical components in complex mixtures. Description: Bajomo, Mary M, et al. Computational chromatography: A machine learning strategy for demixing individual chemical components in complex mixtures. ''Proc Natl Acad Sci U S A''. 2022 Dec 27; '''119''' (52):e2211406119
Novel plasma protein biomarkers from critically ill sepsis patients. Description: Van Nynatten, Logan R, et al. Novel plasma protein biomarkers from critically ill sepsis patients. ''Clin Proteomics''. 2022 Dec 27; '''19''' (1):50
Confound-leakage: confound removal in machine learning leads to leakage. Description: Hamdan, Sami, et al. Confound-leakage: confound removal in machine learning leads to leakage. ''Gigascience''. 2022 Dec 28; '''12''':
Delineating regions of interest for mass spectrometry imaging by multimodally corroborated spatial segmentation. Description: Guo, Ang, et al. Delineating regions of interest for mass spectrometry imaging by multimodally corroborated spatial segmentation. ''Gigascience''. 2022 Dec 28; '''12''':
Integrating deep mutational scanning and low-throughput mutagenesis data to predict the impact of amino acid variants. Description: Fu, Yunfan, et al. Integrating deep mutational scanning and low-throughput mutagenesis data to predict the impact of amino acid variants. ''Gigascience''. 2022 Dec 28; '''12''':
Machine learning-based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease. Description: Lee, Youngro, et al. Machine learning-based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease. ''Gigascience''. 2022 Dec 28; '''12''':
xAtlas: scalable small variant calling across heterogeneous next-generation sequencing experiments. Description: Farek, Jesse, et al. xAtlas: scalable small variant calling across heterogeneous next-generation sequencing experiments. ''Gigascience''. 2022 Dec 28; '''12''':
Machine Learning in Hypertension Detection: A Study on World Hypertension Day Data. Description: Montagna, Sara, et al. Machine Learning in Hypertension Detection: A Study on World Hypertension Day Data. ''J Med Syst''. 2022 Dec 29; '''47''' (1):1
Cross-Platform Detection of Psychiatric Hospitalization via Social Media Data: Comparison Study. Description: Nguyen, Viet Cuong, et al. Cross-Platform Detection of Psychiatric Hospitalization via Social Media Data: Comparison Study. ''JMIR Ment Health''. 2022 Dec 30; '''9''' (12):e39747
Identification of Specific Pathogen-Infected sRNA-Mediated Interactions between Turnip Yellows Virus and Arabidopsis thaliana. Description: Yu, Ruiyang, et al. Identification of Specific Pathogen-Infected sRNA-Mediated Interactions between Turnip Yellows Virus and Arabidopsis thaliana. ''Curr Issues Mol Biol''. 2022 Dec 30; '''45''' (1):212-222
A breast cancer-specific combinational QSAR model development using machine learning and deep learning approaches. Description: Karampuri, Anush, et al. A breast cancer-specific combinational QSAR model development using machine learning and deep learning approaches. ''Front Bioinform''. 2023; '''3''': 1328262
A contrast-enhanced CT-based radiomic nomogram for the differential diagnosis of intravenous leiomyomatosis and uterine leiomyoma. Description: Shao, Jiang, et al. A contrast-enhanced CT-based radiomic nomogram for the differential diagnosis of intravenous leiomyomatosis and uterine leiomyoma. ''Front Oncol''. 2023; '''13''': 1239124
A correlation coefficient-based feature selection approach for virus-host protein-protein interaction prediction. Description: Ibrahim, Ahmed Hassan, et al. A correlation coefficient-based feature selection approach for virus-host protein-protein interaction prediction. ''PLoS One''. 2023; '''18''' (5):e0285168
A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch. Description: Akay, Ela Marie Z, et al. A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch. ''Neuroimage Clin''. 2023; '''40''': 103544
AI-powered assessment of biomarkers for growth prediction of abdominal aortic aneurysms. Description: Forneris, Arianna, et al. AI-powered assessment of biomarkers for growth prediction of abdominal aortic aneurysms. ''JVS Vasc Sci''. 2023; '''4''': 100119
A Layered, Hybrid Machine Learning Analytic Workflow for Mouse Risk Assessment Behavior. Description: Wang, Jinxin, et al. A Layered, Hybrid Machine Learning Analytic Workflow for Mouse Risk Assessment Behavior. ''eNeuro''. 2023 Jan; '''10''' (1):
A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data. Description: Tan, Wei Ying, et al. A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data. ''J Alzheimers Dis''. 2023; '''91''' (1):449-461
A machine learning approach to improve implementation monitoring of family-based preventive interventions in primary care. Description: Berkel, Cady, et al. A machine learning approach to improve implementation monitoring of family-based preventive interventions in primary care. ''Implement Res Pract''. 2023 Jan-Dec; '''4''': 26334895231187906
A machine learning approach to support triaging of primary versus secondary headache patients using complete blood count. Description: Yang, Fei, et al. A machine learning approach to support triaging of primary versus secondary headache patients using complete blood count. ''PLoS One''. 2023; '''18''' (3):e0282237
A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program. Description: Lorman, Vitaly, et al. A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program. ''PLoS One''. 2023; '''18''' (8):e0289774
A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure. Description: Kim, Rachel, et al. A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure. ''Front Cardiovasc Med''. 2023; '''10''': 1169574
A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties. Description: Waight, Andrew B, et al. A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties. ''MAbs''. 2023 Jan-Dec; '''15''' (1):2248671
A multimodal prediction model for suicidal attempter in major depressive disorder. Description: Li, Qiaojun, et al. A multimodal prediction model for suicidal attempter in major depressive disorder. ''PeerJ''. 2023; '''11''': e16362
An Affordable phototherapy intensity meter using machine learning to improve the quality of care system for Hyperbilirubinemia in Indonesia. Description: Kristian, Yosi, et al. An Affordable phototherapy intensity meter using machine learning to improve the quality of care system for Hyperbilirubinemia in Indonesia. ''PLoS One''. 2023; '''18''' (5):e0285128
An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques. Description: Hu, Ya-Han, et al. An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques. ''PLoS One''. 2023; '''18''' (6):e0286347
An innovative medical waste management system in a smart city using XAI and vehicle routing optimization. Description: Boudanga, Zineb, et al. An innovative medical waste management system in a smart city using XAI and vehicle routing optimization. ''F1000Res''. 2023; '''12''': 1060
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study. Description: Barnes, Josue, et al. A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study. ''Lancet Digit Health''. 2023 Jan; '''5''' (1):e28-e40
A novel interpretative tool for early prediction of low cardiac output syndrome after valve surgery: online machine learning models. Description: Hong, Liang, et al. A novel interpretative tool for early prediction of low cardiac output syndrome after valve surgery: online machine learning models. ''Ann Med''. 2023; '''55''' (2):2293244
Application of machine learning for risky sexual behavior interventions among factory workers in China. Description: Zhang, Fang, et al. Application of machine learning for risky sexual behavior interventions among factory workers in China. ''Front Public Health''. 2023; '''11''': 1092018
A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome. Description: Haleem, Noman, et al. A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome. ''Open Res Eur''. 2023; '''3''': 19
Artificial Intelligence-Based Prediction of Lower Extremity Deep Vein Thrombosis Risk After Knee/Hip Arthroplasty. Description: Wang, Xinguang, et al. Artificial Intelligence-Based Prediction of Lower Extremity Deep Vein Thrombosis Risk After Knee/Hip Arthroplasty. ''Clin Appl Thromb Hemost''. 2023 Jan-Dec; '''29''': 10760296221139263
Assessment of Vestigial Auriculomotor Activity to Acoustic Stimuli Using Electrodes In and Around the Ear. Description: Assessment of Vestigial Auriculomotor Activity to Acoustic Stimuli Using Electrodes In and Around the Ear. ''''. 2023 Jan-Dec; '''27''': 23312165231200158
A tale of two targets: examining the differential effects of posterior cingulate cortex- and amygdala-targeted fMRI-neurofeedback in a PTSD pilot study. Description: Lieberman, Jonathan M, et al. A tale of two targets: examining the differential effects of posterior cingulate cortex- and amygdala-targeted fMRI-neurofeedback in a PTSD pilot study. ''Front Neurosci''. 2023; '''17''': 1229729
Automatic feature selection for performing Unit 2 of vault in wheel gymnastics. Description: Kitajima, Eiji, et al. Automatic feature selection for performing Unit 2 of vault in wheel gymnastics. ''PLoS One''. 2023; '''18''' (6):e0287095
Barriers to methamphetamine treatment seeking in residential centers in Aguascalientes, Mexico. Description: Martinez Martinez, Kalina Isela, et al. Barriers to methamphetamine treatment seeking in residential centers in Aguascalientes, Mexico. ''Front Psychol''. 2023; '''14''': 1193453
Bat4RCT: A suite of benchmark data and baseline methods for text classification of randomized controlled trials. Description: Kim, Jenna, et al. Bat4RCT: A suite of benchmark data and baseline methods for text classification of randomized controlled trials. ''PLoS One''. 2023; '''18''' (3):e0283342
Benchmarking framework for machine learning classification from fNIRS data. Description: Benerradi, Johann, et al. Benchmarking framework for machine learning classification from fNIRS data. ''Front Neuroergon''. 2023; '''4''': 994969
Bio-activity prediction of drug candidate compounds targeting SARS-Cov-2 using machine learning approaches. Description: Ashraf, Faisal Bin, et al. Bio-activity prediction of drug candidate compounds targeting SARS-Cov-2 using machine learning approaches. ''PLoS One''. 2023; '''18''' (9):e0288053
Building a Machine Learning-based Ambulance Dispatch Triage Model for Emergency Medical Services. Description: Wang, Han, et al. Building a Machine Learning-based Ambulance Dispatch Triage Model for Emergency Medical Services. ''Health Data Sci''. 2023; '''3''': 0008
Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population. Description: Bikia, Vasiliki, et al. Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population. ''Front Bioeng Biotechnol''. 2023; '''11''': 1199726
Chlorine redox chemistry is widespread in microbiology. Description: Barnum, Tyler P, et al. Chlorine redox chemistry is widespread in microbiology. ''ISME J''. 2023 Jan; '''17''' (1):70-83
Classification of Acoustic Hearing Preservation After Cochlear Implantation Using Electrocochleography. Description: Sijgers, Leanne, et al. Classification of Acoustic Hearing Preservation After Cochlear Implantation Using Electrocochleography. ''Trends Hear''. 2023 Jan-Dec; '''27''': 23312165231220997
Classification of Alzheimer's disease and frontotemporal dementia using routine clinical and cognitive measures across multicentric underrepresented samples: A cross sectional observational study. Description: Maito, Marcelo Adrian, et al. Classification of Alzheimer's disease and frontotemporal dementia using routine clinical and cognitive measures across multicentric underrepresented samples: A cross sectional observational study. ''Lancet Reg Health Am''. 2023 Jan; '''17''':
Classification of clinically actionable genetic mutations in cancer patients. Description: Shahzad, Muhammad, et al. Classification of clinically actionable genetic mutations in cancer patients. ''Front Mol Biosci''. 2023; '''10''': 1277862
Classification of multiple emotional states from facial expressions in head-fixed mice using a deep learning-based image analysis. Description: Tanaka, Yudai, et al. Classification of multiple emotional states from facial expressions in head-fixed mice using a deep learning-based image analysis. ''PLoS One''. 2023; '''18''' (7):e0288930
Combination of pre-treatment dynamic [(18)F]FET PET radiomics and conventional clinical parameters for the survival stratification in patients with IDH-wildtype glioblastoma. Description: Li, Zhicong, et al. Combination of pre-treatment dynamic [(18)F]FET PET radiomics and conventional clinical parameters for the survival stratification in patients with IDH-wildtype glioblastoma. ''Eur J Nucl Med Mol Imaging''. 2023 Jan; '''50''' (2):535-545
Comparison of state-of-the-art deep learning architectures for detection of freezing of gait in Parkinson's disease. Description: Klaver, Emilie Charlotte, et al. Comparison of state-of-the-art deep learning architectures for detection of freezing of gait in Parkinson's disease. ''Front Neurol''. 2023; '''14''': 1306129
Comprehensive analysis of circulating cell-free RNAs in blood for diagnosing non-small cell lung cancer. Description: Liu, Yulin, et al. Comprehensive analysis of circulating cell-free RNAs in blood for diagnosing non-small cell lung cancer. ''Comput Struct Biotechnol J''. 2023; '''21''': 4238-4251
Comprehensive identification of diverse ribosomal RNA modifications by targeted nanopore direct RNA sequencing and JACUSA2. Description: Naarmann-de Vries, Isabel S, et al. Comprehensive identification of diverse ribosomal RNA modifications by targeted nanopore direct RNA sequencing and JACUSA2. ''RNA Biol''. 2023 Jan; '''20''' (1):652-665
Computational capabilities of a multicellular reservoir computing system. Description: Nikolic, Vladimir, et al. Computational capabilities of a multicellular reservoir computing system. ''PLoS One''. 2023; '''18''' (4):e0282122
Computational prediction and characterization of cell-type-specific and shared binding sites. Description: Zhang, Qinhu, et al. Computational prediction and characterization of cell-type-specific and shared binding sites. ''Bioinformatics''. 2023 Jan 1; '''39''' (1):
Continuous and early prediction of future moderate and severe Acute Kidney Injury in critically ill patients: Development and multi-centric, multi-national external validation of a machine-learning model. Description: Alfieri, Francesca, et al. Continuous and early prediction of future moderate and severe Acute Kidney Injury in critically ill patients: Development and multi-centric, multi-national external validation of a machine-learning model. ''PLoS One''. 2023; '''18''' (7):e0287398
Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm. Description: Huo, Jiayan, et al. Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm. ''PLoS One''. 2023; '''18''' (4):e0284167
CTAB-GAN+: enhancing tabular data synthesis. Description: Zhao, Zilong, et al. CTAB-GAN+: enhancing tabular data synthesis. ''Front Big Data''. 2023; '''6''': 1296508
Data science competition for cross-site individual tree species identification from airborne remote sensing data. Description: Graves, Sarah J, et al. Data science competition for cross-site individual tree species identification from airborne remote sensing data. ''PeerJ''. 2023; '''11''': e16578
Deciphering the RRM-RNA recognition code: A computational analysis. Description: Roca-Martinez, Joel, et al. Deciphering the RRM-RNA recognition code: A computational analysis. ''PLoS Comput Biol''. 2023 Jan; '''19''' (1):e1010859
DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning. Description: Li, Yiming, et al. DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning. ''Bioinformatics''. 2023 Jan 1; '''39''' (1):
Delta-radiomics models based on multi-phase contrast-enhanced magnetic resonance imaging can preoperatively predict glypican-3-positive hepatocellular carcinoma. Description: Han, Zewen, et al. Delta-radiomics models based on multi-phase contrast-enhanced magnetic resonance imaging can preoperatively predict glypican-3-positive hepatocellular carcinoma. ''Front Physiol''. 2023; '''14''': 1138239
Detection of COVID-19 epidemic outbreak using machine learning. Description: Cho, Giphil, et al. Detection of COVID-19 epidemic outbreak using machine learning. ''Front Public Health''. 2023; '''11''': 1252357
Detection of Patients at Risk of Multidrug-Resistant Enterobacteriaceae Infection Using Graph Neural Networks: A Retrospective Study. Description: Gouareb, Racha, et al. Detection of Patients at Risk of Multidrug-Resistant Enterobacteriaceae Infection Using Graph Neural Networks: A Retrospective Study. ''Health Data Sci''. 2023; '''3''': 0099
Developing a primary tumor and lymph node 18F-FDG PET/CT-clinical (TLPC) model to predict lymph node metastasis of resectable T2-4 NSCLC. Description: Wang, Meng, et al. Developing a primary tumor and lymph node 18F-FDG PET/CT-clinical (TLPC) model to predict lymph node metastasis of resectable T2-4 NSCLC. ''J Cancer Res Clin Oncol''. 2023 Jan; '''149''' (1):247-261
Development of depression detection algorithm using text scripts of routine psychiatric interview. Description: Oh, Jihoon, et al. Development of depression detection algorithm using text scripts of routine psychiatric interview. ''Front Psychiatry''. 2023; '''14''': 1256571
Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies. Description: Mock, Marissa, et al. Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies. ''MAbs''. 2023 Jan-Dec; '''15''' (1):2256745
Different culture media and purification methods unveil the core proteome of Propionibacterium freudenreichii-derived extracellular vesicles. Description: Rodovalho, Vinicius de Rezende, et al. Different culture media and purification methods unveil the core proteome of Propionibacterium freudenreichii-derived extracellular vesicles. ''Microlife''. 2023; '''4''': uqad029
Differentiation of Atrial Fibrillation and Atrial Fibrillation-Associated Ischemic Stroke Based on Serum Exosome miRNA-Seq. Description: Xie, Yun, et al. Differentiation of Atrial Fibrillation and Atrial Fibrillation-Associated Ischemic Stroke Based on Serum Exosome miRNA-Seq. ''Cardiology''. 2023; '''148''' (2):150-160
Differentiation of white matter histopathology using b-tensor encoding and machine learning. Description: Rios-Carrillo, Ricardo, et al. Differentiation of white matter histopathology using b-tensor encoding and machine learning. ''PLoS One''. 2023; '''18''' (6):e0282549
Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis. Description: VanDyk, Tyler, et al. Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis. ''IEEE Trans Neural Syst Rehabil Eng''. 2023; '''31''': 2279-2286
Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock. Description: Maciel-Guerra, Alexandre, et al. Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock. ''ISME J''. 2023 Jan; '''17''' (1):21-35
Diverse silent chromatin states modulate genome compartmentalization and loop extrusion barriers. Description: Spracklin, George, et al. Diverse silent chromatin states modulate genome compartmentalization and loop extrusion barriers. ''Nat Struct Mol Biol''. 2023 Jan; '''30''' (1):38-51
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer. Description: Petainen, Liisa, et al. Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer. ''PLoS One''. 2023; '''18''' (5):e0286270
ECG and EEG based detection and multilevel classification of stress using machine learning for specified genders: A preliminary study. Description: Hemakom, Apit, et al. ECG and EEG based detection and multilevel classification of stress using machine learning for specified genders: A preliminary study. ''PLoS One''. 2023; '''18''' (9):e0291070
Effect of intracranial electrical stimulation on dynamic functional connectivity in medically refractory epilepsy. Description: Lu, Meili, et al. Effect of intracranial electrical stimulation on dynamic functional connectivity in medically refractory epilepsy. ''Front Hum Neurosci''. 2023; '''17''': 1295326
Engineering an AI-based forward-reverse platform for the design of cross-ribosome binding sites of a transcription factor biosensor. Description: Ding, Nana, et al. Engineering an AI-based forward-reverse platform for the design of cross-ribosome binding sites of a transcription factor biosensor. ''Comput Struct Biotechnol J''. 2023; '''21''': 2929-2939
Enhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models. Description: Bai, Geng, et al. Enhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models. ''Front Plant Sci''. 2023; '''14''': 1277672
Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation. Description: Lee, Seungeun, et al. Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation. ''PLoS One''. 2023; '''18''' (5):e0286417
Escherichia coli transcriptome assembly from a compendium of RNA-seq data sets. Description: Tjaden, Brian. Escherichia coli transcriptome assembly from a compendium of RNA-seq data sets. ''RNA Biol''. 2023 Jan; '''20''' (1):77-84
Estimating road traffic impacts of commute mode shifts. Description: Hu, Yue, et al. Estimating road traffic impacts of commute mode shifts. ''PLoS One''. 2023; '''18''' (1):e0279738
Evaluations on supervised learning methods in the calibration of seven-hole pressure probes. Description: Zhou, Shuni, et al. Evaluations on supervised learning methods in the calibration of seven-hole pressure probes. ''PLoS One''. 2023; '''18''' (1):e0277672
Explainable artificial intelligence toward usable and trustworthy computer-aided diagnosis of multiple sclerosis from Optical Coherence Tomography. Description: Hernandez, Monica, et al. Explainable artificial intelligence toward usable and trustworthy computer-aided diagnosis of multiple sclerosis from Optical Coherence Tomography. ''PLoS One''. 2023; '''18''' (8):e0289495
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques. Description: Hayet-Otero, Miren, et al. Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques. ''PLoS One''. 2023; '''18''' (4):e0284150
Factors associated with the quality of death certification in Brazilian municipalities: A data-driven non-linear model. Description: Zimeo Morais, Guilherme Augusto, et al. Factors associated with the quality of death certification in Brazilian municipalities: A data-driven non-linear model. ''PLoS One''. 2023; '''18''' (8):e0290814
Fear of falling: Scoping review and topic analysis using natural language processing. Description: Kolpashnikova, Kamila, et al. Fear of falling: Scoping review and topic analysis using natural language processing. ''PLoS One''. 2023; '''18''' (10):e0293554
Frequency-dependent and time-variant alterations of neural activity in post-stroke depression: A resting-state fMRI study. Description: Wu, Xiumei, et al. Frequency-dependent and time-variant alterations of neural activity in post-stroke depression: A resting-state fMRI study. ''Neuroimage Clin''. 2023; '''38''': 103445
From nuclear track characterization to machine learning based image classification in neutron autoradiography for boron neutron capture therapy. Description: Viglietti, Julia S, et al. From nuclear track characterization to machine learning based image classification in neutron autoradiography for boron neutron capture therapy. ''PLoS One''. 2023; '''18''' (12):e0293891
Genetic and gut microbiome determinants of SCFA circulating and fecal levels, postprandial responses and links to chronic and acute inflammation. Description: Nogal, Ana, et al. Genetic and gut microbiome determinants of SCFA circulating and fecal levels, postprandial responses and links to chronic and acute inflammation. ''Gut Microbes''. 2023 Jan-Dec; '''15''' (1):2240050
Genetics of psycho-emotional well-being: genome-wide association study and polygenic risk score analysis. Description: Yakovchik, Anna Yurievna, et al. Genetics of psycho-emotional well-being: genome-wide association study and polygenic risk score analysis. ''Front Psychiatry''. 2023; '''14''': 1188427
Genome-wide family prediction unveils molecular mechanisms underlying the regulation of agronomic traits in Urochloa ruziziensis. Description: Martins, Felipe Bitencourt, et al. Genome-wide family prediction unveils molecular mechanisms underlying the regulation of agronomic traits in Urochloa ruziziensis. ''Front Plant Sci''. 2023; '''14''': 1303417
Guidance for good practice in the application of machine learning in development of toxicological quantitative structure-activity relationships (QSARs). Description: Belfield, Samuel J, et al. Guidance for good practice in the application of machine learning in development of toxicological quantitative structure-activity relationships (QSARs). ''PLoS One''. 2023; '''18''' (5):e0282924
Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors. Description: Vernocchi, Pamela, et al. Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors. ''Front Microbiol''. 2023; '''14''': 1287350
hERG-toxicity prediction using traditional machine learning and advanced deep learning techniques. Description: Ylipaa, Erik, et al. hERG-toxicity prediction using traditional machine learning and advanced deep learning techniques. ''Curr Res Toxicol''. 2023; '''5''': 100121
Histopathology image classification: highlighting the gap between manual analysis and AI automation. Description: Dogan, Refika Sultan, et al. Histopathology image classification: highlighting the gap between manual analysis and AI automation. ''Front Oncol''. 2023; '''13''': 1325271
Holistic pedestrian safety assessment for average males and females. Description: Leo, Christoph, et al. Holistic pedestrian safety assessment for average males and females. ''Front Public Health''. 2023; '''11''': 1199949
Hypoxia Primes Human ISCs for Interleukin-Dependent Rescue of Stem Cell Activity. Description: Rivera, Kristina R, et al. Hypoxia Primes Human ISCs for Interleukin-Dependent Rescue of Stem Cell Activity. ''Cell Mol Gastroenterol Hepatol''. 2023; '''16''' (5):823-846
Identifying epigenetic aging moderators using the epigenetic pacemaker. Description: Farrell, Colin, et al. Identifying epigenetic aging moderators using the epigenetic pacemaker. ''Front Bioinform''. 2023; '''3''': 1308680
Identifying features of risk periods for suicide attempts using document frequency and language use in electronic health records. Description: Dutta, Rina, et al. Identifying features of risk periods for suicide attempts using document frequency and language use in electronic health records. ''Front Psychiatry''. 2023; '''14''': 1217649
IgE and IgG4 epitopes of the peanut allergens shift following oral immunotherapy. Description: Rambo, Ian M, et al. IgE and IgG4 epitopes of the peanut allergens shift following oral immunotherapy. ''Front Allergy''. 2023; '''4''': 1279290
Impact of mobile connectivity on students' wellbeing: Detecting learners' depression using machine learning algorithms. Description: Siraji, Muntequa Imtiaz, et al. Impact of mobile connectivity on students' wellbeing: Detecting learners' depression using machine learning algorithms. ''PLoS One''. 2023; '''18''' (11):e0294803
Importance of mobile genetic elements for dissemination of antimicrobial resistance in metagenomic sewage samples across the world. Description: Johansson, Markus H K, et al. Importance of mobile genetic elements for dissemination of antimicrobial resistance in metagenomic sewage samples across the world. ''PLoS One''. 2023; '''18''' (10):e0293169
Improved overall survival in patients with high-grade serous ovarian cancer is associated with CD16a+ immunologic neighborhoods containing NK cells, T cells and macrophages. Description: Nersesian, Sarah, et al. Improved overall survival in patients with high-grade serous ovarian cancer is associated with CD16a+ immunologic neighborhoods containing NK cells, T cells and macrophages. ''Front Immunol''. 2023; '''14''': 1307873
Increased interpretation of deep learning models using hierarchical cluster-based modelling. Description: Gjelsvik, Elise Lunde, et al. Increased interpretation of deep learning models using hierarchical cluster-based modelling. ''PLoS One''. 2023; '''18''' (12):e0295251
Individualized Prospective Prediction of Opioid Use Disorder. Description: Liu, Yang S, et al. Individualized Prospective Prediction of Opioid Use Disorder. ''Can J Psychiatry''. 2023 Jan; '''68''' (1):54-63
Insights from incorporating quantum computing into drug design workflows. Description: Lau, Bayo, et al. Insights from incorporating quantum computing into drug design workflows. ''Bioinformatics''. 2023 Jan 1; '''39''' (1):
Insights into group-specific pattern of secondary metabolite gene cluster in Burkholderia genus. Description: Kim, Byeollee, et al. Insights into group-specific pattern of secondary metabolite gene cluster in Burkholderia genus. ''Front Microbiol''. 2023; '''14''': 1302236
In-stent restenosis in acute coronary syndrome-a classic and a machine learning approach. Description: Scafa-Udriste, Alexandru, et al. In-stent restenosis in acute coronary syndrome-a classic and a machine learning approach. ''Front Cardiovasc Med''. 2023; '''10''': 1270986
Integrating clinical and cross-cohort metagenomic features: a stable and non-invasive colorectal cancer and adenoma diagnostic model. Description: Zhou, Dan, et al. Integrating clinical and cross-cohort metagenomic features: a stable and non-invasive colorectal cancer and adenoma diagnostic model. ''Front Mol Biosci''. 2023; '''10''': 1298679
Integration of clinical parameters and CT-based radiomics improves machine learning assisted subtyping of primary hyperaldosteronism. Description: Mansour, Nabeel, et al. Integration of clinical parameters and CT-based radiomics improves machine learning assisted subtyping of primary hyperaldosteronism. ''Front Endocrinol (Lausanne)''. 2023; '''14''': 1244342
Integration of Machine Learning and Structural Analysis for Predicting Peptide Antibiofilm Effects: Advancements in Drug Discovery for Biofilm-Related Infections. Description: Ebrahimi Tarki, Fatemeh, et al. Integration of Machine Learning and Structural Analysis for Predicting Peptide Antibiofilm Effects: Advancements in Drug Discovery for Biofilm-Related Infections. ''Iran J Pharm Res''. 2023 Jan-Dec; '''22''' (1):e138704
Kale improves bowel movements in constipated women and affects some intestinal microbes and metabolites: a pilot study. Description: Nishimoto, Yuichiro, et al. Kale improves bowel movements in constipated women and affects some intestinal microbes and metabolites: a pilot study. ''Front Nutr''. 2023; '''10''': 1247683
Keyword Network Analysis of Infusion Nursing from Posts on the Q&A Board in the Intravenous Nurses Cafe. Description: Park, Jeong Yun, et al. Keyword Network Analysis of Infusion Nursing from Posts on the Q&A Board in the Intravenous Nurses Cafe. ''Healthc Inform Res''. 2023 Jan; '''29''' (1):75-83
Large-scale pedigree analysis highlights rapidly mutating Y-chromosomal short tandem repeats for differentiating patrilineal relatives and predicting their degrees of consanguinity. Description: Ralf, Arwin, et al. Large-scale pedigree analysis highlights rapidly mutating Y-chromosomal short tandem repeats for differentiating patrilineal relatives and predicting their degrees of consanguinity. ''Hum Genet''. 2023 Jan; '''142''' (1):145-160
Large-scale prediction of adverse drug reactions-related proteins with network embedding. Description: Park, Jaesub, et al. Large-scale prediction of adverse drug reactions-related proteins with network embedding. ''Bioinformatics''. 2023 Jan 1; '''39''' (1):
Leveraging machine learning for taxonomic classification of emerging astroviruses. Description: Alipour, Fatemeh, et al. Leveraging machine learning for taxonomic classification of emerging astroviruses. ''Front Mol Biosci''. 2023; '''10''': 1305506
Lipidomics-based tissue heterogeneity in specimens of luminal breast cancer revealed by clustering analysis of mass spectrometry imaging: A preliminary study. Description: Aramaki, Shuhei, et al. Lipidomics-based tissue heterogeneity in specimens of luminal breast cancer revealed by clustering analysis of mass spectrometry imaging: A preliminary study. ''PLoS One''. 2023; '''18''' (5):e0283155
Longitudinal study of the interplay between the skin barrier and facial microbiome over 1 year. Description: Seo, Jung Yeon, et al. Longitudinal study of the interplay between the skin barrier and facial microbiome over 1 year. ''Front Microbiol''. 2023; '''14''': 1298632
Lysophosphatidylcholine acyltransferase level predicts the severity and prognosis of patients with community-acquired pneumonia: a prospective multicenter study. Description: Chen, Li, et al. Lysophosphatidylcholine acyltransferase level predicts the severity and prognosis of patients with community-acquired pneumonia: a prospective multicenter study. ''Front Immunol''. 2023; '''14''': 1295353
Machine learning and feature extraction for rapid antimicrobial resistance prediction of Acinetobacter baumannii from whole-genome sequencing data. Description: Gao, Yue, et al. Machine learning and feature extraction for rapid antimicrobial resistance prediction of Acinetobacter baumannii from whole-genome sequencing data. ''Front Microbiol''. 2023; '''14''': 1320312
Machine learning-based classification of chronic traumatic brain injury using hybrid diffusion imaging. Description: Muller, Jennifer J, et al. Machine learning-based classification of chronic traumatic brain injury using hybrid diffusion imaging. ''Front Neurosci''. 2023; '''17''': 1182509
Machine learning based prediction of recurrence after curative resection for rectal cancer. Description: Jeon, Youngbae, et al. Machine learning based prediction of recurrence after curative resection for rectal cancer. ''PLoS One''. 2023; '''18''' (12):e0290141
Machine Learning-Based Screening of Risk Factors and Prediction of Deep Vein Thrombosis and Pulmonary Embolism After Hip Arthroplasty. Description: Ding, Ruifeng, et al. Machine Learning-Based Screening of Risk Factors and Prediction of Deep Vein Thrombosis and Pulmonary Embolism After Hip Arthroplasty. ''Clin Appl Thromb Hemost''. 2023 Jan-Dec; '''29''': 10760296231186145
Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV(1) decline: results from COPDGene and SPIROMICS. Description: Wang, Jennifer M, et al. Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV(1) decline: results from COPDGene and SPIROMICS. ''Front Physiol''. 2023; '''14''': 1144192
Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS. Description: Geraci, Joseph, et al. Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS. ''Front Comput Neurosci''. 2023; '''17''': 1199736
Machine Learning Selection of Most Predictive Brain Proteins Suggests Role of Sugar Metabolism in Alzheimer's Disease. Description: Tandon, Raghav, et al. Machine Learning Selection of Most Predictive Brain Proteins Suggests Role of Sugar Metabolism in Alzheimer's Disease. ''J Alzheimers Dis''. 2023; '''92''' (2):411-424
Machine Learning to Dynamically Predict In-Hospital Venous Thromboembolism After Inguinal Hernia Surgery: Results From the CHAT-1 Study. Description: Yan, Yi-Dan, et al. Machine Learning to Dynamically Predict In-Hospital Venous Thromboembolism After Inguinal Hernia Surgery: Results From the CHAT-1 Study. ''Clin Appl Thromb Hemost''. 2023 Jan-Dec; '''29''': 10760296231171082
Mapping Chinese Medical Entities to the Unified Medical Language System. Description: Chen, Luming, et al. Mapping Chinese Medical Entities to the Unified Medical Language System. ''Health Data Sci''. 2023; '''3''': 0011
Microbial genes outperform species and SNVs as diagnostic markers for Crohn's disease on multicohort fecal metagenomes empowered by artificial intelligence. Description: Gao, Sheng, et al. Microbial genes outperform species and SNVs as diagnostic markers for Crohn's disease on multicohort fecal metagenomes empowered by artificial intelligence. ''Gut Microbes''. 2023 Jan-Dec; '''15''' (1):2221428
Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data. Description: Nambiar, Athira, et al. Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data. ''Front Artif Intell''. 2023; '''6''': 1272506
Modeling the formation of defensive gaps in basketball: Cutting on a teammate's drive. Description: Supola, Bence, et al. Modeling the formation of defensive gaps in basketball: Cutting on a teammate's drive. ''PLoS One''. 2023; '''18''' (2):e0281467
Modifications in the piperazine ring of nucleozin affect anti-influenza activity. Description: Correa-Padilla, Erick, et al. Modifications in the piperazine ring of nucleozin affect anti-influenza activity. ''PLoS One''. 2023; '''18''' (2):e0277073
Mouse sperm energy restriction and recovery (SER) revealed novel metabolic pathways. Description: Romarowski, Ana, et al. Mouse sperm energy restriction and recovery (SER) revealed novel metabolic pathways. ''Front Cell Dev Biol''. 2023; '''11''': 1234221
Multi-Input CNN-LSTM deep learning model for fear level classification based on EEG and peripheral physiological signals. Description: Masuda, Nagisa, et al. Multi-Input CNN-LSTM deep learning model for fear level classification based on EEG and peripheral physiological signals. ''Front Psychol''. 2023; '''14''': 1141801
Multiple machine learning methods aided virtual screening of Na(V) 1.5 inhibitors. Description: Kong, Weikaixin, et al. Multiple machine learning methods aided virtual screening of Na(V) 1.5 inhibitors. ''J Cell Mol Med''. 2023 Jan; '''27''' (2):266-276
Nutritional programming in Nile tilapia (Oreochromis niloticus): Effect of low dietary protein on growth and the intestinal microbiome and transcriptome. Description: Deck, Courtney A, et al. Nutritional programming in Nile tilapia (Oreochromis niloticus): Effect of low dietary protein on growth and the intestinal microbiome and transcriptome. ''PLoS One''. 2023; '''18''' (10):e0292431
On the use of QDE-SVM for gene feature selection and cell type classification from scRNA-seq data. Description: Ng, Grace Yee Lin, et al. On the use of QDE-SVM for gene feature selection and cell type classification from scRNA-seq data. ''PLoS One''. 2023; '''18''' (10):e0292961
Open reproducible scientometric research with Alexandria3k. Description: Spinellis, Diomidis. Open reproducible scientometric research with Alexandria3k. ''PLoS One''. 2023; '''18''' (11):e0294946
Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African children. Description: Palmer, Megan, et al. Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African children. ''PLOS Glob Public Health''. 2023; '''3''' (5):e0001799
Paying attention to cardiac surgical risk: An interpretable machine learning approach using an uncertainty-aware attentive neural network. Description: Penny-Dimri, Jahan C, et al. Paying attention to cardiac surgical risk: An interpretable machine learning approach using an uncertainty-aware attentive neural network. ''PLoS One''. 2023; '''18''' (8):e0289930
Predicting CRISPR-Cas12a guide efficiency for targeting using machine learning. Description: O'Brien, Aidan, et al. Predicting CRISPR-Cas12a guide efficiency for targeting using machine learning. ''PLoS One''. 2023; '''18''' (10):e0292924
Predicting the effects of cultivation condition on gene regulation in Escherichia coli by using deep learning. Description: Kwon, Mun Su, et al. Predicting the effects of cultivation condition on gene regulation in Escherichia coli by using deep learning. ''Comput Struct Biotechnol J''. 2023; '''21''': 2613-2620
Prediction model for elevated intraocular pressure risk after silicone oil filling based on clinical features. Description: Fan, Wen, et al. Prediction model for elevated intraocular pressure risk after silicone oil filling based on clinical features. ''Front Med (Lausanne)''. 2023; '''10''': 1340198
Prediction of knee biomechanics with different tibial component malrotations after total knee arthroplasty: conventional machine learning vs. deep learning. Description: Zhang, Qida, et al. Prediction of knee biomechanics with different tibial component malrotations after total knee arthroplasty: conventional machine learning vs. deep learning. ''Front Bioeng Biotechnol''. 2023; '''11''': 1255625
Prediction of mental effort derived from an automated vocal biomarker using machine learning in a large-scale remote sample. Description: Taptiklis, Nick, et al. Prediction of mental effort derived from an automated vocal biomarker using machine learning in a large-scale remote sample. ''Front Artif Intell''. 2023; '''6''': 1171652
Prediction of stroke patients' bedroom-stay duration: machine-learning approach using wearable sensor data. Description: Ogasawara, Takayuki, et al. Prediction of stroke patients' bedroom-stay duration: machine-learning approach using wearable sensor data. ''Front Bioeng Biotechnol''. 2023; '''11''': 1285945
Predictive power of gait and gait-related cognitive measures in amnestic mild cognitive impairment: a machine learning analysis. Description: Tuena, Cosimo, et al. Predictive power of gait and gait-related cognitive measures in amnestic mild cognitive impairment: a machine learning analysis. ''Front Hum Neurosci''. 2023; '''17''': 1328713
Protein embeddings improve phage-host interaction prediction. Description: Gonzales, Mark Edward M, et al. Protein embeddings improve phage-host interaction prediction. ''PLoS One''. 2023; '''18''' (7):e0289030
Quantifying the utility of islet autoantibody levels in the prediction of type 1 diabetes in children. Description: Ng, Kenney, et al. Quantifying the utility of islet autoantibody levels in the prediction of type 1 diabetes in children. ''Diabetologia''. 2023 Jan; '''66''' (1):93-104
Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer. Description: Spielvogel, Clemens P, et al. Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer. ''Eur J Nucl Med Mol Imaging''. 2023 Jan; '''50''' (2):546-558
Radiomic model based on magnetic resonance imaging for predicting pathological complete response after neoadjuvant chemotherapy in breast cancer patients. Description: Yu, Yimiao, et al. Radiomic model based on magnetic resonance imaging for predicting pathological complete response after neoadjuvant chemotherapy in breast cancer patients. ''Front Oncol''. 2023; '''13''': 1249339
Rapid discrimination of Bifidobacterium longum subspecies based on MALDI-TOF MS and machine learning. Description: Liu, Kexin, et al. Rapid discrimination of Bifidobacterium longum subspecies based on MALDI-TOF MS and machine learning. ''Front Microbiol''. 2023; '''14''': 1297451
Rational Design of Organelle-Targeted Fluorescent Probes: Insights from Artificial Intelligence. Description: Dong, Jie, et al. Rational Design of Organelle-Targeted Fluorescent Probes: Insights from Artificial Intelligence. ''Research (Wash D C)''. 2023; '''6''': 0075
Research on customer churn prediction and model interpretability analysis. Description: Peng, Ke, et al. Research on customer churn prediction and model interpretability analysis. ''PLoS One''. 2023; '''18''' (12):e0289724
Risk of suicide attempts and self-harm after 1.4 million general medical hospitalizations of men with mental illness. Description: Thiruvalluru, Rohith Kumar, et al. Risk of suicide attempts and self-harm after 1.4 million general medical hospitalizations of men with mental illness. ''J Psychiatr Res''. 2023 Jan; '''157''': 50-56
RNAinsecta: A tool for prediction of precursor microRNA in insects and search for their target in the model organism Drosophila melanogaster. Description: Nath, Adhiraj, et al. RNAinsecta: A tool for prediction of precursor microRNA in insects and search for their target in the model organism Drosophila melanogaster. ''PLoS One''. 2023; '''18''' (10):e0287323
Screening for obstructive sleep apnea in patients with cancer - a machine learning approach. Description: Wong, Karen A, et al. Screening for obstructive sleep apnea in patients with cancer - a machine learning approach. ''Sleep Adv''. 2023; '''4''' (1):zpad042
Short text classification with machine learning in the social sciences: The case of climate change on Twitter. Description: Shyrokykh, Karina, et al. Short text classification with machine learning in the social sciences: The case of climate change on Twitter. ''PLoS One''. 2023; '''18''' (9):e0290762
Small hand-designed convolutional neural networks outperform transfer learning in automated cell shape detection in confluent tissues. Description: Combe, Louis, et al. Small hand-designed convolutional neural networks outperform transfer learning in automated cell shape detection in confluent tissues. ''PLoS One''. 2023; '''18''' (2):e0281931
SoccerNet: A Gated Recurrent Unit-based model to predict soccer match winners. Description: AlMulla, Jassim, et al. SoccerNet: A Gated Recurrent Unit-based model to predict soccer match winners. ''PLoS One''. 2023; '''18''' (8):e0288933
Sparse representation learning derives biological features with explicit gene weights from the Allen Mouse Brain Atlas. Description: Abbasi, Mohammad, et al. Sparse representation learning derives biological features with explicit gene weights from the Allen Mouse Brain Atlas. ''PLoS One''. 2023; '''18''' (3):e0282171
Spinal Cord Injury AIS Predictions Using Machine Learning. Description: Kapoor, Dhruv, et al. Spinal Cord Injury AIS Predictions Using Machine Learning. ''eNeuro''. 2023 Jan; '''10''' (1):
Statistical and machine learning approaches to predict the necessity for computed tomography in children with mild traumatic brain injury. Description: Miyagawa, Tadashi, et al. Statistical and machine learning approaches to predict the necessity for computed tomography in children with mild traumatic brain injury. ''PLoS One''. 2023; '''18''' (1):e0278562
The coherence between PSMC6 and alpha-ring in the 26S proteasome is associated with Alzheimer's disease. Description: Xiong, Jing, et al. The coherence between PSMC6 and alpha-ring in the 26S proteasome is associated with Alzheimer's disease. ''Front Mol Neurosci''. 2023; '''16''': 1330853
The evolution of SARS-CoV-2 and the COVID-19 pandemic. Description: Si, Yuanfang, et al. The evolution of SARS-CoV-2 and the COVID-19 pandemic. ''PeerJ''. 2023; '''11''': e15990
The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images. Description: Hirvasniemi, J, et al. The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images. ''Osteoarthritis Cartilage''. 2023 Jan; '''31''' (1):115-125
The Long COVID experience from a patient's perspective: a clustering analysis of 27,216 Reddit posts. Description: Ayadi, Hanin, et al. The Long COVID experience from a patient's perspective: a clustering analysis of 27,216 Reddit posts. ''Front Public Health''. 2023; '''11''': 1227807
*The rare DRB104:08-DQ8 haplotype is the main HLA class II genetic driver and discriminative factor of Early-onset Type 1 diabetes in the Portuguese population.** Description: Caramalho, Iris, et al. The rare DRB1*04:08-DQ8 haplotype is the main HLA class II genetic driver and discriminative factor of Early-onset Type 1 diabetes in the Portuguese population. ''Front Immunol''. 2023; '''14''': 1299609
The relationship between radiation dose and bevacizumab-related imaging abnormality in patients with brain tumors: A voxel-wise normal tissue complication probability (NTCP) analysis. Description: Salans, Mia, et al. The relationship between radiation dose and bevacizumab-related imaging abnormality in patients with brain tumors: A voxel-wise normal tissue complication probability (NTCP) analysis. ''PLoS One''. 2023; '''18''' (2):e0279812
The Relativistic Proton Spectrometer: A Review of Sensor Performance, Applications, and Science. Description: Mazur, J E, et al. The Relativistic Proton Spectrometer: A Review of Sensor Performance, Applications, and Science. ''Space Sci Rev''. 2023; '''219''' (3):26
The value of CT-based radiomics in predicting the prognosis of acute pancreatitis. Description: Xue, Ming, et al. The value of CT-based radiomics in predicting the prognosis of acute pancreatitis. ''Front Med (Lausanne)''. 2023; '''10''': 1289295
Towards greater neuroimaging classification transparency via the integration of explainability methods and confidence estimation approaches. Description: Ellis, Charles A, et al. Towards greater neuroimaging classification transparency via the integration of explainability methods and confidence estimation approaches. ''Inform Med Unlocked''. 2023; '''37''':
To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status? Description: Carlier, Alexis, et al. To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status? ''Plant Phenomics''. 2023; '''5''': 0083
TROLLOPE: A novel sequence-based stacked approach for the accelerated discovery of linear T-cell epitopes of hepatitis C virus. Description: Charoenkwan, Phasit, et al. TROLLOPE: A novel sequence-based stacked approach for the accelerated discovery of linear T-cell epitopes of hepatitis C virus. ''PLoS One''. 2023; '''18''' (8):e0290538
Twitter trends in #Parasitology determined by text mining and topic modelling. Description: Ellis, John T, et al. Twitter trends in #Parasitology determined by text mining and topic modelling. ''Curr Res Parasitol Vector Borne Dis''. 2023; '''4''': 100138
Two novel genes identified by large-scale transcriptomic analysis are essential for biofilm and rugose colony development of Vibrio vulnificus. Description: Lee, Hojun, et al. Two novel genes identified by large-scale transcriptomic analysis are essential for biofilm and rugose colony development of Vibrio vulnificus. ''PLoS Pathog''. 2023 Jan; '''19''' (1):e1011064
Unicorn, Hare, or Tortoise? Using Machine Learning to Predict Working Memory Training Performance. Description: Feng, Yi, et al. Unicorn, Hare, or Tortoise? Using Machine Learning to Predict Working Memory Training Performance. ''J Cogn''. 2023; '''6''' (1):53
Unveiling microbial biomarkers of ruminant methane emission through machine learning. Description: Peng, Chengyao, et al. Unveiling microbial biomarkers of ruminant methane emission through machine learning. ''Front Microbiol''. 2023; '''14''': 1308363
Using bacterial pan-genome-based feature selection approach to improve the prediction of minimum inhibitory concentration (MIC). Description: Yang, Ming-Ren, et al. Using bacterial pan-genome-based feature selection approach to improve the prediction of minimum inhibitory concentration (MIC). ''Front Genet''. 2023; '''14''': 1054032
Using discrete wavelet transform for optimizing COVID-19 new cases and deaths prediction worldwide with deep neural networks. Description: Sperandio Nascimento, Erick Giovani, et al. Using discrete wavelet transform for optimizing COVID-19 new cases and deaths prediction worldwide with deep neural networks. ''PLoS One''. 2023; '''18''' (4):e0282621
Using Twitter to collect a multi-dialectal corpus of Albanian using advanced geotagging and dialect modeling. Description: Canhasi, Ercan, et al. Using Twitter to collect a multi-dialectal corpus of Albanian using advanced geotagging and dialect modeling. ''PLoS One''. 2023; '''18''' (11):e0294284
Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka. Description: Rathnayake, Namal, et al. Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka. ''PLoS One''. 2023; '''18''' (4):e0282847
Will it run?-A proof of concept for smoke testing decentralized data analytics experiments. Description: Welten, Sascha, et al. Will it run?-A proof of concept for smoke testing decentralized data analytics experiments. ''Front Med (Lausanne)''. 2023; '''10''': 1305415
A deep learning framework assisted echocardiography with diagnosis, lesion localization, phenogrouping heterogeneous disease, and anomaly detection. Description: Liu, Bohan, et al. A deep learning framework assisted echocardiography with diagnosis, lesion localization, phenogrouping heterogeneous disease, and anomaly detection. ''Sci Rep''. 2023 Jan 2; '''13''' (1):3
Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure Information. Description: Watanabe, Reiko, et al. Prediction of the Contribution Ratio of a Target Metabolic Enzyme to Clearance from Chemical Structure Information. ''Mol Pharm''. 2023 Jan 2; '''20''' (1):419-426
Development and Validation of a Machine Learning Model for Detection and Classification of Tertiary Lymphoid Structures in Gastrointestinal Cancers. Description: Li, Zhe, et al. Development and Validation of a Machine Learning Model for Detection and Classification of Tertiary Lymphoid Structures in Gastrointestinal Cancers. ''JAMA Netw Open''. 2023 Jan 3; '''6''' (1):e2252553
Evaluation of Multiple Machine Learning Models for Predicting Number of Anti-VEGF Injections in the Comparison of AMD Treatment Trials (CATT). Description: Chandra, Rajat S, et al. Evaluation of Multiple Machine Learning Models for Predicting Number of Anti-VEGF Injections in the Comparison of AMD Treatment Trials (CATT). ''Transl Vis Sci Technol''. 2023 Jan 3; '''12''' (1):18
Predicting Postoperative Anterior Chamber Angle for Phakic Intraocular Lens Implantation Using Preoperative Anterior Segment Metrics. Description: Choi, Hannuy, et al. Predicting Postoperative Anterior Chamber Angle for Phakic Intraocular Lens Implantation Using Preoperative Anterior Segment Metrics. ''Transl Vis Sci Technol''. 2023 Jan 3; '''12''' (1):10
Prediction of the daily nutrient requirements of gestating sows based on sensor data and machine-learning algorithms. Description: Durand, Maeva, et al. Prediction of the daily nutrient requirements of gestating sows based on sensor data and machine-learning algorithms. ''J Anim Sci''. 2023 Jan 3; '''101''':
Estimation of Occupancy Using IoT Sensors and a Carbon Dioxide-Based Machine Learning Model with Ventilation System and Differential Pressure Data. Description: Kim, Jehyun, et al. Estimation of Occupancy Using IoT Sensors and a Carbon Dioxide-Based Machine Learning Model with Ventilation System and Differential Pressure Data. ''Sensors (Basel)''. 2023 Jan 4; '''23''' (2):
External validation of binary machine learning models for pain intensity perception classification from EEG in healthy individuals. Description: Mari, Tyler, et al. External validation of binary machine learning models for pain intensity perception classification from EEG in healthy individuals. ''Sci Rep''. 2023 Jan 5; '''13''' (1):242
Inference of core needle biopsy whole slide images requiring definitive therapy for prostate cancer. Description: Tsuneki, Masayuki, et al. Inference of core needle biopsy whole slide images requiring definitive therapy for prostate cancer. ''BMC Cancer''. 2023 Jan 5; '''23''' (1):11
Molecular and spatial signatures of mouse brain aging at single-cell resolution. Description: Allen, William E, et al. Molecular and spatial signatures of mouse brain aging at single-cell resolution. ''Cell''. 2023 Jan 5; '''186''' (1):194-208.e18
Multimodal prediction of residual consciousness in the intensive care unit: the CONNECT-ME study. Description: Amiri, Moshgan, et al. Multimodal prediction of residual consciousness in the intensive care unit: the CONNECT-ME study. ''Brain''. 2023 Jan 5; '''146''' (1):50-64
Predictive Model for Preeclampsia Combining sFlt-1, PlGF, NT-proBNP, and Uric Acid as Biomarkers. Description: Garrido-Gimenez, Carmen, et al. Predictive Model for Preeclampsia Combining sFlt-1, PlGF, NT-proBNP, and Uric Acid as Biomarkers. ''J Clin Med''. 2023 Jan 5; '''12''' (2):
Structural and functional map for forelimb movement phases between cortex and medulla. Description: Yang, Wuzhou, et al. Structural and functional map for forelimb movement phases between cortex and medulla. ''Cell''. 2023 Jan 5; '''186''' (1):162-177.e18
Towards Accurate Identification of Antibiotic-Resistant Pathogens through the Ensemble of Multiple Preprocessing Methods Based on MALDI-TOF Spectra. Description: Chung, Chia-Ru, et al. Towards Accurate Identification of Antibiotic-Resistant Pathogens through the Ensemble of Multiple Preprocessing Methods Based on MALDI-TOF Spectra. ''Int J Mol Sci''. 2023 Jan 5; '''24''' (2):
Molecular subtypes of ALS are associated with differences in patient prognosis. Description: Eshima, Jarrett, et al. Molecular subtypes of ALS are associated with differences in patient prognosis. ''Nat Commun''. 2023 Jan 6; '''14''' (1):95
Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study. Description: Adekkanattu, Prakash, et al. Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study. ''Sci Rep''. 2023 Jan 6; '''13''' (1):294
Predictive modeling of optimism bias using gray matter cortical thickness. Description: Kotikalapudi, Raviteja, et al. Predictive modeling of optimism bias using gray matter cortical thickness. ''Sci Rep''. 2023 Jan 6; '''13''' (1):302
SuperNatural 3.0-a database of natural products and natural product-based derivatives. Description: Gallo, Kathleen, et al. SuperNatural 3.0-a database of natural products and natural product-based derivatives. ''Nucleic Acids Res''. 2023 Jan 6; '''51''' (D1):D654-D659
TmAlphaFold database: membrane localization and evaluation of AlphaFold2 predicted alpha-helical transmembrane protein structures. Description: Dobson, Laszlo, et al. TmAlphaFold database: membrane localization and evaluation of AlphaFold2 predicted alpha-helical transmembrane protein structures. ''Nucleic Acids Res''. 2023 Jan 6; '''51''' (D1):D517-D522
TOXRIC: a comprehensive database of toxicological data and benchmarks. Description: Wu, Lianlian, et al. TOXRIC: a comprehensive database of toxicological data and benchmarks. ''Nucleic Acids Res''. 2023 Jan 6; '''51''' (D1):D1432-D1445
Age-level bias correction in brain age prediction. Description: Zhang, Biao, et al. Age-level bias correction in brain age prediction. ''Neuroimage Clin''. 2023 Jan 7; '''37''': 103319
Sibling variation in polygenic traits and DNA recombination mapping with UK Biobank and IVF family data. Description: Lello, Louis, et al. Sibling variation in polygenic traits and DNA recombination mapping with UK Biobank and IVF family data. ''Sci Rep''. 2023 Jan 7; '''13''' (1):376
Anatomical Variations of the Human Cochlea Using an Image Analysis Tool. Description: Hussain, Raabid, et al. Anatomical Variations of the Human Cochlea Using an Image Analysis Tool. ''J Clin Med''. 2023 Jan 8; '''12''' (2):
A Machine Learning Method for Predicting Corrosion Weight Gain of Uranium and Uranium Alloys. Description: Wang, Xiaoyuan, et al. A Machine Learning Method for Predicting Corrosion Weight Gain of Uranium and Uranium Alloys. ''Materials (Basel)''. 2023 Jan 9; '''16''' (2):
Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra. Description: Mwanga, Emmanuel P, et al. Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra. ''BMC Bioinformatics''. 2023 Jan 9; '''24''' (1):11
Machine learning models to accelerate the design of polymeric long-acting injectables. Description: Bannigan, Pauric, et al. Machine learning models to accelerate the design of polymeric long-acting injectables. ''Nat Commun''. 2023 Jan 10; '''14''' (1):35
Predicting nitrogen use efficiency, nitrogen loss and dry matter intake of individual dairy cows in late lactation by including mid-infrared spectra of milk samples. Description: Shi, Rui, et al. Predicting nitrogen use efficiency, nitrogen loss and dry matter intake of individual dairy cows in late lactation by including mid-infrared spectra of milk samples. ''J Anim Sci Biotechnol''. 2023 Jan 10; '''14''' (1):8
Supramolecular Semiconductivity through Emerging Ionic Gates in Ion-Nanoparticle Superlattices. Description: Lionello, Chiara, et al. Supramolecular Semiconductivity through Emerging Ionic Gates in Ion-Nanoparticle Superlattices. ''ACS Nano''. 2023 Jan 10; '''17''' (1):275-287
Systematic elucidation of genetic mechanisms underlying cholesterol uptake. Description: Hamilton, Marisa C, et al. Systematic elucidation of genetic mechanisms underlying cholesterol uptake. ''bioRxiv''. 2023 Jan 10;
T cell-derived interleukin-22 drives the expression of CD155 by cancer cells to suppress NK cell function and promote metastasis. Description: Briukhovetska, Daria, et al. T cell-derived interleukin-22 drives the expression of CD155 by cancer cells to suppress NK cell function and promote metastasis. ''Immunity''. 2023 Jan 10; '''56''' (1):143-161.e11
A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease. Description: Sunaga, Yuto, et al. A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease. ''Clin Rheumatol''. 2023 Jan 11; 1-11
Comparison of the Users' Attitudes Toward Cannabidiol on Social Media Platforms: Topic Modeling Study. Description: Li, Yongjie, et al. Comparison of the Users' Attitudes Toward Cannabidiol on Social Media Platforms: Topic Modeling Study. ''JMIR Public Health Surveill''. 2023 Jan 11; '''9''': e34132
Deep learning and radiomic feature-based blending ensemble classifier for malignancy risk prediction in cystic renal lesions. Description: He, Quan-Hao, et al. Deep learning and radiomic feature-based blending ensemble classifier for malignancy risk prediction in cystic renal lesions. ''Insights Imaging''. 2023 Jan 11; '''14''' (1):6
Examining Different Analysis Protocols Targeting Hospital Sanitary Facility Microbiomes. Description: Neidhofer, Claudio, et al. Examining Different Analysis Protocols Targeting Hospital Sanitary Facility Microbiomes. ''Microorganisms''. 2023 Jan 11; '''11''' (1):
Lithium treatment extends human lifespan: findings from the UK Biobank. Description: Araldi, Elisa, et al. Lithium treatment extends human lifespan: findings from the UK Biobank. ''Aging (Albany NY)''. 2023 Jan 11; '''15''' (2):421-440
Multimodal data fusion for supervised learning-based identification of USP7 inhibitors: a systematic comparison. Description: Shen, Wen-Feng, et al. Multimodal data fusion for supervised learning-based identification of USP7 inhibitors: a systematic comparison. ''J Cheminform''. 2023 Jan 11; '''15''' (1):5
Systemic factors associated with 10-year glaucoma progression in South Korean population: a single center study based on electronic medical records. Description: Yoon, Jung Suk, et al. Systemic factors associated with 10-year glaucoma progression in South Korean population: a single center study based on electronic medical records. ''Sci Rep''. 2023 Jan 11; '''13''' (1):530
Explaining Accurate Predictions of Multitarget Compounds with Machine Learning Models Derived for Individual Targets. Description: Lamens, Alec, et al. Explaining Accurate Predictions of Multitarget Compounds with Machine Learning Models Derived for Individual Targets. ''Molecules''. 2023 Jan 13; '''28''' (2):
Highly Evolvable: Investigating Interspecific and Intraspecific Venom Variation in Taipans (Oxyuranus spp.) and Brown Snakes (Pseudonaja spp.). Description: van Thiel, Jory, et al. Highly Evolvable: Investigating Interspecific and Intraspecific Venom Variation in Taipans (Oxyuranus spp.) and Brown Snakes (Pseudonaja spp.). ''Toxins (Basel)''. 2023 Jan 13; '''15''' (1):
Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation. Description: Suh, Bogyeong, et al. Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation. ''J Med Internet Res''. 2023 Jan 13; '''25''': e40179
Investigation of early molecular alterations in tauopathy with generative adversarial networks. Description: Kim, Hyerin, et al. Investigation of early molecular alterations in tauopathy with generative adversarial networks. ''Sci Rep''. 2023 Jan 13; '''13''' (1):732
Machine learning enables prediction of metabolic system evolution in bacteria. Description: Konno, Naoki, et al. Machine learning enables prediction of metabolic system evolution in bacteria. ''Sci Adv''. 2023 Jan 13; '''9''' (2):eadc9130
Systemic administration of novel engineered AAV capsids facilitates enhanced transgene expression in the macaque CNS. Description: Stanton, Alexandra C, et al. Systemic administration of novel engineered AAV capsids facilitates enhanced transgene expression in the macaque CNS. ''Med (N Y)''. 2023 Jan 13; '''4''' (1):31-50.e8
DEML: Drug Synergy and Interaction Prediction Using Ensemble-Based Multi-Task Learning. Description: Wang, Zhongming, et al. DEML: Drug Synergy and Interaction Prediction Using Ensemble-Based Multi-Task Learning. ''Molecules''. 2023 Jan 14; '''28''' (2):
SIRT2i_Predictor: A Machine Learning-Based Tool to Facilitate the Discovery of Novel SIRT2 Inhibitors. Description: Djokovic, Nemanja, et al. SIRT2i_Predictor: A Machine Learning-Based Tool to Facilitate the Discovery of Novel SIRT2 Inhibitors. ''Pharmaceuticals (Basel)''. 2023 Jan 14; '''16''' (1):
A New Approach to Detecting Atrial Fibrillation Using Count Statistics of Relative Changes between Consecutive RR Intervals. Description: Bus, Szymon, et al. A New Approach to Detecting Atrial Fibrillation Using Count Statistics of Relative Changes between Consecutive RR Intervals. ''J Clin Med''. 2023 Jan 15; '''12''' (2):
Compliance to Multidisciplinary Lifestyle Intervention Decreases Blood Pressure in Patients with Resistant Hypertension: A Cross-Sectional Pilot Study. Description: Espinel, Eugenia, et al. Compliance to Multidisciplinary Lifestyle Intervention Decreases Blood Pressure in Patients with Resistant Hypertension: A Cross-Sectional Pilot Study. ''J Clin Med''. 2023 Jan 15; '''12''' (2):
Multi-Step Extracellular Matrix Remodelling and Stiffening in the Development of Idiopathic Pulmonary Fibrosis. Description: Junior, Constanca, et al. Multi-Step Extracellular Matrix Remodelling and Stiffening in the Development of Idiopathic Pulmonary Fibrosis. ''Int J Mol Sci''. 2023 Jan 15; '''24''' (2):
Dynamics of immune memory and learning in bacterial communities. Description: Bonsma-Fisher, Madeleine, et al. Dynamics of immune memory and learning in bacterial communities. ''Elife''. 2023 Jan 16; '''12''':
Data Augmentation for a Virtual-Sensor-Based Nitrogen and Phosphorus Monitoring. Description: Paepae, Thulane, et al. Data Augmentation for a Virtual-Sensor-Based Nitrogen and Phosphorus Monitoring. ''Sensors (Basel)''. 2023 Jan 17; '''23''' (3):
Neural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity. Description: van der Plas, Thijs L, et al. Neural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity. ''Elife''. 2023 Jan 17; '''12''':
Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI). Description: Topff, Laurens, et al. Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI). ''Eur Radiol''. 2023 Jan 18; 1-10
An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation. Description: Xu, He Ayu, et al. An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation. ''JMIR Med Inform''. 2023 Jan 19; '''11''': e38150
Evaluation of single-cell RNAseq labelling algorithms using cancer datasets. Description: Christensen, Erik, et al. Evaluation of single-cell RNAseq labelling algorithms using cancer datasets. ''Brief Bioinform''. 2023 Jan 19; '''24''' (1):
Learning single-cell chromatin accessibility profiles using meta-analytic marker genes. Description: Kawaguchi, Risa Karakida, et al. Learning single-cell chromatin accessibility profiles using meta-analytic marker genes. ''Brief Bioinform''. 2023 Jan 19; '''24''' (1):
RNAlight: a machine learning model to identify nucleotide features determining RNA subcellular localization. Description: Yuan, Guo-Hua, et al. RNAlight: a machine learning model to identify nucleotide features determining RNA subcellular localization. ''Brief Bioinform''. 2023 Jan 19; '''24''' (1):
Urine cell-free DNA multi-omics to detect MRD and predict survival in bladder cancer patients. Description: Chauhan, Pradeep S, et al. Urine cell-free DNA multi-omics to detect MRD and predict survival in bladder cancer patients. ''NPJ Precis Oncol''. 2023 Jan 19; '''7''' (1):6
AI-Driven Validation of Digital Agriculture Models. Description: Romero-Gainza, Eduardo, et al. AI-Driven Validation of Digital Agriculture Models. ''Sensors (Basel)''. 2023 Jan 20; '''23''' (3):
A Scalable Framework for Closed-Loop Neuromodulation with Deep Learning. Description: Gebodh, Nigel, et al. A Scalable Framework for Closed-Loop Neuromodulation with Deep Learning. ''bioRxiv''. 2023 Jan 20;
Data-Driven Prediction of the Formation of Co-Amorphous Systems. Description: Fink, Elisabeth, et al. Data-Driven Prediction of the Formation of Co-Amorphous Systems. ''Pharmaceutics''. 2023 Jan 20; '''15''' (2):
Multimodal mapping of cell types and projections in the central nucleus of the amygdala. Description: Wang, Yuhan, et al. Multimodal mapping of cell types and projections in the central nucleus of the amygdala. ''Elife''. 2023 Jan 20; '''12''':
Multi-Objective Genetic Algorithm for Cluster Analysis of Single-Cell Transcriptomes. Description: Zhao, Konghao, et al. Multi-Objective Genetic Algorithm for Cluster Analysis of Single-Cell Transcriptomes. ''J Pers Med''. 2023 Jan 20; '''13''' (2):
Sensor-based evaluation of a Urine Trap toilet in a shared bathroom. Description: Kachoria, Prateek, et al. Sensor-based evaluation of a Urine Trap toilet in a shared bathroom. ''Sci Total Environ''. 2023 Jan 20; '''857''' (Pt 1):159178
Validation of the RIM Score-COVID in the Spanish SEMI-COVID-19 Registry. Description: Ramos-Rincon, Jose-Manuel, et al. Validation of the RIM Score-COVID in the Spanish SEMI-COVID-19 Registry. ''Intern Emerg Med''. 2023 Jan 21; 1-9
A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model. Description: Park, Ji Soo, et al. A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model. ''Sci Rep''. 2023 Jan 23; '''13''' (1):1289
Autofluorescence lifetime imaging classifies human lymphocyte activation and subtype. Description: Schmitz, Rebecca L, et al. Autofluorescence lifetime imaging classifies human lymphocyte activation and subtype. ''bioRxiv''. 2023 Jan 23;
Antibody levels following vaccination against SARS-CoV-2: associations with post-vaccination infection and risk factors in two UK longitudinal studies. Description: Cheetham, Nathan J, et al. Antibody levels following vaccination against SARS-CoV-2: associations with post-vaccination infection and risk factors in two UK longitudinal studies. ''Elife''. 2023 Jan 24; '''12''':
Artificial intelligence for differentiating COVID-19 from other viral pneumonias on CT: comparative analysis of different models based on quantitative and radiomic approaches. Description: Zorzi, Giulia, et al. Artificial intelligence for differentiating COVID-19 from other viral pneumonias on CT: comparative analysis of different models based on quantitative and radiomic approaches. ''Eur Radiol Exp''. 2023 Jan 24; '''7''' (1):3
Enabling Artificial Intelligent Virtual Sensors in an IoT Environment. Description: Stavropoulos, Georgios, et al. Enabling Artificial Intelligent Virtual Sensors in an IoT Environment. ''Sensors (Basel)''. 2023 Jan 24; '''23''' (3):
Reliability of non-contact tongue diagnosis for Sjogren's syndrome using machine learning method. Description: Noguchi, Keigo, et al. Reliability of non-contact tongue diagnosis for Sjogren's syndrome using machine learning method. ''Sci Rep''. 2023 Jan 24; '''13''' (1):1334
The kidney drug transporter OAT1 regulates gut microbiome-dependent host metabolism. Description: Granados, Jeffry C, et al. The kidney drug transporter OAT1 regulates gut microbiome-dependent host metabolism. ''JCI Insight''. 2023 Jan 24; '''8''' (2):
A Machine Learning-Based Applied Prediction Model for Identification of Acute Coronary Syndrome (ACS) Outcomes and Mortality in Patients during the Hospital Stay. Description: Sherazi, Syed Waseem Abbas, et al. A Machine Learning-Based Applied Prediction Model for Identification of Acute Coronary Syndrome (ACS) Outcomes and Mortality in Patients during the Hospital Stay. ''Sensors (Basel)''. 2023 Jan 25; '''23''' (3):
Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach. Description: Kim, Ah Young, et al. Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach. ''J Med Internet Res''. 2023 Jan 25; '''25''': e34474
How Does Neural Network Model Capacity Affect Photovoltaic Power Prediction? A Study Case. Description: Andrade, Carlos Henrique Torres de, et al. How Does Neural Network Model Capacity Affect Photovoltaic Power Prediction? A Study Case. ''Sensors (Basel)''. 2023 Jan 25; '''23''' (3):
Iterated cross validation method for prediction of survival in diffuse large B-cell lymphoma for small size dataset. Description: Chang, Chin-Chuan, et al. Iterated cross validation method for prediction of survival in diffuse large B-cell lymphoma for small size dataset. ''Sci Rep''. 2023 Jan 25; '''13''' (1):1438
Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles. Description: Tena-Gago, David, et al. Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles. ''Sensors (Basel)''. 2023 Jan 25; '''23''' (3):
Predicting wind-driven spatial deposition through simulated color images using deep autoencoders. Description: Fernandez-Godino, M Giselle, et al. Predicting wind-driven spatial deposition through simulated color images using deep autoencoders. ''Sci Rep''. 2023 Jan 25; '''13''' (1):1394
An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation. Description: Gabriel, Rodney Allanigue, et al. An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation. ''JMIR Perioper Med''. 2023 Jan 26; '''6''': e39650
Resting-state fMRI signals contain spectral signatures of local hemodynamic response timing. Description: Bailes, Sydney M, et al. Resting-state fMRI signals contain spectral signatures of local hemodynamic response timing. ''bioRxiv''. 2023 Jan 26;
Strain Tracking with Uncertainty Quantification. Description: Kim, Younhun, et al. Strain Tracking with Uncertainty Quantification. ''bioRxiv''. 2023 Jan 26;
Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images. Description: Huang, Zhi, et al. Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images. ''NPJ Precis Oncol''. 2023 Jan 27; '''7''' (1):14
Dietary Supplementation with Botanical Blends Modified Intestinal Microbiota and Metabolomics of Weaned Pigs Experimentally Infected with Enterotoxigenic Escherichia coli. Description: Jinno, Cynthia, et al. Dietary Supplementation with Botanical Blends Modified Intestinal Microbiota and Metabolomics of Weaned Pigs Experimentally Infected with Enterotoxigenic Escherichia coli. ''Microorganisms''. 2023 Jan 27; '''11''' (2):
Energy Level Prediction of Organic Semiconductors for Photodetectors and Mining of a Photovoltaic Database to Search for New Building Units. Description: Saleh, Jehad, et al. Energy Level Prediction of Organic Semiconductors for Photodetectors and Mining of a Photovoltaic Database to Search for New Building Units. ''Molecules''. 2023 Jan 27; '''28''' (3):
Product progression: a machine learning approach to forecasting industrial upgrading. Description: Albora, Giambattista, et al. Product progression: a machine learning approach to forecasting industrial upgrading. ''Sci Rep''. 2023 Jan 27; '''13''' (1):1481
Binned Data Provide Better Imputation of Missing Time Series Data from Wearables. Description: Chakrabarti, Shweta, et al. Binned Data Provide Better Imputation of Missing Time Series Data from Wearables. ''Sensors (Basel)''. 2023 Jan 28; '''23''' (3):
Distinct tumor architectures for metastatic colonization of the brain. Description: Gan, Siting, et al. Distinct tumor architectures for metastatic colonization of the brain. ''bioRxiv''. 2023 Jan 28;
Outlier Vehicle Trajectory Detection Using Deep Autoencoders in Santiago, Chile. Description: Peralta, Billy, et al. Outlier Vehicle Trajectory Detection Using Deep Autoencoders in Santiago, Chile. ''Sensors (Basel)''. 2023 Jan 28; '''23''' (3):
The RESP AI model accelerates the identification of tight-binding antibodies. Description: Parkinson, Jonathan, et al. The RESP AI model accelerates the identification of tight-binding antibodies. ''Nat Commun''. 2023 Jan 28; '''14''' (1):454
Using the Electrocardiogram for Pain Classification under Emotional Contexts. Description: Silva, Pedro, et al. Using the Electrocardiogram for Pain Classification under Emotional Contexts. ''Sensors (Basel)''. 2023 Jan 28; '''23''' (3):
A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of Health at Hospital Presentation: Retrospective Study. Description: Chen, Min, et al. A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of Health at Hospital Presentation: Retrospective Study. ''J Med Internet Res''. 2023 Jan 30; '''25''': e36477
A New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning. Description: Soto, Ismael, et al. A New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning. ''Sensors (Basel)''. 2023 Jan 30; '''23''' (3):
Developing a Technical-Oriented Taxonomy to Define Archetypes of Conversational Agents in Health Care: Literature Review and Cluster Analysis. Description: Denecke, Kerstin, et al. Developing a Technical-Oriented Taxonomy to Define Archetypes of Conversational Agents in Health Care: Literature Review and Cluster Analysis. ''J Med Internet Res''. 2023 Jan 30; '''25''': e41583
Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images. Description: Prinzi, Francesco, et al. Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images. ''J Imaging''. 2023 Jan 30; '''9''' (2):
Polyphenol and Tryptophan Contents of Purple Corn (Zea mays L.) Variety KND and Butterfly Pea (Clitoria ternatea) Aqueous Extracts: Insights into Phytochemical Profiles with Antioxidant Activities and PCA Analysis. Description: Ratha, Juthamat, et al. Polyphenol and Tryptophan Contents of Purple Corn (Zea mays L.) Variety KND and Butterfly Pea (Clitoria ternatea) Aqueous Extracts: Insights into Phytochemical Profiles with Antioxidant Activities and PCA Analysis. ''Plants (Basel)''. 2023 Jan 30; '''12''' (3):
Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins. Description: Serebryany, Eugene, et al. Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins. ''ArXiv''. 2023 Jan 30;
Knowledge mining of unstructured information: application to cyber domain. Description: Takko, Tuomas, et al. Knowledge mining of unstructured information: application to cyber domain. ''Sci Rep''. 2023 Jan 31; '''13''' (1):1714
On the Influence of Aging on Classification Performance in the Visual EEG Oddball Paradigm Using Statistical and Temporal Features. Description: Omejc, Nina, et al. On the Influence of Aging on Classification Performance in the Visual EEG Oddball Paradigm Using Statistical and Temporal Features. ''Life (Basel)''. 2023 Jan 31; '''13''' (2):
Using CT radiomic features based on machine learning models to subtype adrenal adenoma. Description: Qi, Shouliang, et al. Using CT radiomic features based on machine learning models to subtype adrenal adenoma. ''BMC Cancer''. 2023 Jan 31; '''23''' (1):111
A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity. Description: Ross, Mindy K, et al. A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity. ''Sensors (Basel)''. 2023 Feb 1; '''23''' (3):
Anxiety onset in adolescents: a machine-learning prediction. Description: Chavanne, Alice V, et al. Anxiety onset in adolescents: a machine-learning prediction. ''Mol Psychiatry''. 2023 Feb; '''28''' (2):639-646
Big Data and Machine Learning to Improve European Grapevine Moth (Lobesia botrana) Predictions. Description: Balduque-Gil, Joaquin, et al. Big Data and Machine Learning to Improve European Grapevine Moth (Lobesia botrana) Predictions. ''Plants (Basel)''. 2023 Feb 1; '''12''' (3):
Deep Learning Techniques for Ear Diseases Based on Segmentation of the Normal Tympanic Membrane. Description: Park, Yong Soon, et al. Deep Learning Techniques for Ear Diseases Based on Segmentation of the Normal Tympanic Membrane. ''Clin Exp Otorhinolaryngol''. 2023 Feb; '''16''' (1):28-36
Development and multi-center validation of machine learning model for early detection of fungal keratitis. Description: Wei, Zhenyu, et al. Development and multi-center validation of machine learning model for early detection of fungal keratitis. ''EBioMedicine''. 2023 Feb; '''88''': 104438
Embryo classification beyond pregnancy: early prediction of first trimester miscarriage using machine learning. Description: Amitai, Tamar, et al. Embryo classification beyond pregnancy: early prediction of first trimester miscarriage using machine learning. ''J Assist Reprod Genet''. 2023 Feb; '''40''' (2):309-322
Multicenter automatic detection of invasive carcinoma on breast whole slide images. Description: Peyret, Remy, et al. Multicenter automatic detection of invasive carcinoma on breast whole slide images. ''PLOS Digit Health''. 2023 Feb; '''2''' (2):e0000091
Non-destructive classification of unlabeled cells: Combining an automated benchtop magnetic resonance scanner and artificial intelligence. Description: Fey, Philipp, et al. Non-destructive classification of unlabeled cells: Combining an automated benchtop magnetic resonance scanner and artificial intelligence. ''PLoS Comput Biol''. 2023 Feb; '''19''' (2):e1010842
Nonnegative spatial factorization applied to spatial genomics. Description: Townes, F William, et al. Nonnegative spatial factorization applied to spatial genomics. ''Nat Methods''. 2023 Feb; '''20''' (2):229-238
Postoperative vault prediction for phakic implantable collamer lens surgery: LASSO formulas. Description: Rocamora, Leandro, et al. Postoperative vault prediction for phakic implantable collamer lens surgery: LASSO formulas. ''J Cataract Refract Surg''. 2023 Feb 1; '''49''' (2):126-132
Predicting pathological highly invasive lung cancer from preoperative [(18)F]FDG PET/CT with multiple machine learning models. Description: Onozato, Yuki, et al. Predicting pathological highly invasive lung cancer from preoperative [(18)F]FDG PET/CT with multiple machine learning models. ''Eur J Nucl Med Mol Imaging''. 2023 Feb; '''50''' (3):715-726
Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome. Description: Kindschuh, William F, et al. Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome. ''Nat Microbiol''. 2023 Feb; '''8''' (2):246-259
Screening cell-cell communication in spatial transcriptomics via collective optimal transport. Description: Cang, Zixuan, et al. Screening cell-cell communication in spatial transcriptomics via collective optimal transport. ''Nat Methods''. 2023 Feb; '''20''' (2):218-228
Screening for Adulthood ADHD and Comorbidities in a Tertiary Mental Health Center Using EarlyDetect: A Machine Learning-Based Pilot Study. Description: Liu, Yang S, et al. Screening for Adulthood ADHD and Comorbidities in a Tertiary Mental Health Center Using EarlyDetect: A Machine Learning-Based Pilot Study. ''J Atten Disord''. 2023 Feb; '''27''' (3):324-331
Searching for the Genus Epidemicus in Chinese Patients: Findings from the Clificol COVID-19 Clinical Case Registry. Description: Tournier, Alexander, et al. Searching for the Genus Epidemicus in Chinese Patients: Findings from the Clificol COVID-19 Clinical Case Registry. ''Homeopathy''. 2023 Feb; '''112''' (1):30-39
Single-cell spatial immune landscapes of primary and metastatic brain tumours. Description: Karimi, Elham, et al. Single-cell spatial immune landscapes of primary and metastatic brain tumours. ''Nature''. 2023 Feb; '''614''' (7948):555-563
Single-cell spatial landscape of immunotherapy response reveals mechanisms of CXCL13 enhanced antitumor immunity. Description: Sorin, Mark, et al. Single-cell spatial landscape of immunotherapy response reveals mechanisms of CXCL13 enhanced antitumor immunity. ''J Immunother Cancer''. 2023 Feb; '''11''' (2):
Single-cell spatial landscapes of the lung tumour immune microenvironment. Description: Sorin, Mark, et al. Single-cell spatial landscapes of the lung tumour immune microenvironment. ''Nature''. 2023 Feb; '''614''' (7948):548-554
The NLM indexer assignment dataset: a new large-scale dataset for reviewer assignment research. Description: Rae, Alastair R, et al. The NLM indexer assignment dataset: a new large-scale dataset for reviewer assignment research. ''J Assoc Inf Sci Technol''. 2023 Feb; '''74''' (2):205-218
Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers. Description: Haldar, Debanjan, et al. Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers. ''Neoplasia''. 2023 Feb; '''36''': 100869
Using Machine Learning to Develop Smart Reflex Testing Protocols. Description: McDermott, Matthew, et al. Using Machine Learning to Develop Smart Reflex Testing Protocols. ''ArXiv''. 2023 Feb 1;
Utilization of standardized preimplantation genetic testing for aneuploidy (PGT-A) via artificial intelligence (AI) technology is correlated with improved pregnancy outcomes in single thawed euploid embryo transfer (STEET) cycles. Description: Buldo-Licciardi, Julia, et al. Utilization of standardized preimplantation genetic testing for aneuploidy (PGT-A) via artificial intelligence (AI) technology is correlated with improved pregnancy outcomes in single thawed euploid embryo transfer (STEET) cycles. ''J Assist Reprod Genet''. 2023 Feb; '''40''' (2):289-299
BIRDMAn: A Bayesian differential abundance framework that enables robust inference of host-microbe associations. Description: Rahman, Gibraan, et al. BIRDMAn: A Bayesian differential abundance framework that enables robust inference of host-microbe associations. ''bioRxiv''. 2023 Feb 2;
PASSerRank: Prediction of Allosteric Sites with Learning to Rank. Description: Tian, Hao, et al. PASSerRank: Prediction of Allosteric Sites with Learning to Rank. ''ArXiv''. 2023 Feb 2;
Successor-like representation guides the prediction of future events in human visual cortex and hippocampus. Description: Ekman, Matthias, et al. Successor-like representation guides the prediction of future events in human visual cortex and hippocampus. ''Elife''. 2023 Feb 2; '''12''':
A Knowledge-Graph-Based Multimodal Deep Learning Framework for Identifying Drug-Drug Interactions. Description: Zhang, Jing, et al. A Knowledge-Graph-Based Multimodal Deep Learning Framework for Identifying Drug-Drug Interactions. ''Molecules''. 2023 Feb 3; '''28''' (3):
Application of a Novel Hybrid CNN-GNN for Peptide Ion Encoding. Description: McDonnell, Kevin, et al. Application of a Novel Hybrid CNN-GNN for Peptide Ion Encoding. ''J Proteome Res''. 2023 Feb 3; '''22''' (2):323-333
Data-Driven Optimization of DIA Mass-Spectrometry by DO-MS. Description: Wallmann, Georg, et al. Data-Driven Optimization of DIA Mass-Spectrometry by DO-MS. ''bioRxiv''. 2023 Feb 3;
Metagenomics Shines Light on the Evolution of "Sunscreen" Pigment Metabolism in the Teloschistales (Lichen-Forming Ascomycota). Description: Llewellyn, Theo, et al. Metagenomics Shines Light on the Evolution of "Sunscreen" Pigment Metabolism in the Teloschistales (Lichen-Forming Ascomycota). ''Genome Biol Evol''. 2023 Feb 3; '''15''' (2):
Structural variation across 138,134 samples in the TOPMed consortium. Description: Jun, Goo, et al. Structural variation across 138,134 samples in the TOPMed consortium. ''Res Sq''. 2023 Feb 3;
Towards precision medicine based on a continuous deep learning optimization and ensemble approach. Description: Li, Jian, et al. Towards precision medicine based on a continuous deep learning optimization and ensemble approach. ''NPJ Digit Med''. 2023 Feb 3; '''6''' (1):18
Transparent Exploration of Machine Learning for Biomarker Discovery from Proteomics and Omics Data. Description: Torun, Furkan M, et al. Transparent Exploration of Machine Learning for Biomarker Discovery from Proteomics and Omics Data. ''J Proteome Res''. 2023 Feb 3; '''22''' (2):359-367
Delta Radiomics Model Predicts Lesion-Level Responses to Tyrosine Kinase Inhibitors in Patients with Advanced Renal Cell Carcinoma: A Preliminary Result. Description: Chen, Yuntian, et al. Delta Radiomics Model Predicts Lesion-Level Responses to Tyrosine Kinase Inhibitors in Patients with Advanced Renal Cell Carcinoma: A Preliminary Result. ''J Clin Med''. 2023 Feb 6; '''12''' (4):
Targeting Troponin C with Small Molecules Containing Diphenyl Moieties: Calcium Sensitivity Effects on Striated Muscle and Structure Activity Relationship. Description: Hantz, Eric R, et al. Targeting Troponin C with Small Molecules Containing Diphenyl Moieties: Calcium Sensitivity Effects on Striated Muscle and Structure Activity Relationship. ''bioRxiv''. 2023 Feb 6;
Using random forest to predict antimicrobial minimum inhibitory concentrations of nontyphoidal Salmonella in Taiwan. Description: Wang, Chia-Chi, et al. Using random forest to predict antimicrobial minimum inhibitory concentrations of nontyphoidal Salmonella in Taiwan. ''Vet Res''. 2023 Feb 6; '''54''' (1):11
Automated Huntington's Disease Prognosis via Biomedical Signals and Shallow Machine Learning. Description: Maddury, Sucheer. Automated Huntington's Disease Prognosis via Biomedical Signals and Shallow Machine Learning. ''ArXiv''. 2023 Feb 8;
Severe COVID-19 patients have impaired plasmacytoid dendritic cell-mediated control of SARS-CoV-2. Description: Venet, Manon, et al. Severe COVID-19 patients have impaired plasmacytoid dendritic cell-mediated control of SARS-CoV-2. ''Nat Commun''. 2023 Feb 8; '''14''' (1):694
Autoantigen profiling reveals a shared post-COVID signature in fully recovered and Long COVID patients. Description: Bodansky, Aaron, et al. Autoantigen profiling reveals a shared post-COVID signature in fully recovered and Long COVID patients. ''medRxiv''. 2023 Feb 9;
Comparative Studies on Resampling Techniques in Machine Learning and Deep Learning Models for Drug-Target Interaction Prediction. Description: Azlim Khan, Azwaar Khan, et al. Comparative Studies on Resampling Techniques in Machine Learning and Deep Learning Models for Drug-Target Interaction Prediction. ''Molecules''. 2023 Feb 9; '''28''' (4):
Segmental motor recovery after cervical spinal cord injury relates to density and integrity of corticospinal tract projections. Description: Balbinot, Gustavo, et al. Segmental motor recovery after cervical spinal cord injury relates to density and integrity of corticospinal tract projections. ''Nat Commun''. 2023 Feb 9; '''14''' (1):723
Trait biases in microbial reference genomes. Description: Albright, Sage, et al. Trait biases in microbial reference genomes. ''Sci Data''. 2023 Feb 9; '''10''' (1):84
Activity-based CRISPR scanning uncovers allostery in DNA methylation maintenance machinery. Description: Ngan, Kevin Chun-Ho, et al. Activity-based CRISPR scanning uncovers allostery in DNA methylation maintenance machinery. ''Elife''. 2023 Feb 10; '''12''':
Altered Faecal Microbiota Composition and Structure of Ghanaian Children with Acute Gastroenteritis. Description: Quaye, Emmanuel Kofi, et al. Altered Faecal Microbiota Composition and Structure of Ghanaian Children with Acute Gastroenteritis. ''Int J Mol Sci''. 2023 Feb 10; '''24''' (4):
Diagnosis of coronary layered plaque by deep learning. Description: Araki, Makoto, et al. Diagnosis of coronary layered plaque by deep learning. ''Sci Rep''. 2023 Feb 10; '''13''' (1):2432
Explainable Machine Learning Predictions of Perceptual Sensitivity for Retinal Prostheses. Description: Pogoncheff, Galen, et al. Explainable Machine Learning Predictions of Perceptual Sensitivity for Retinal Prostheses. ''medRxiv''. 2023 Feb 10;
Shape-memory effect in twisted ferroic nanocomposites. Description: Kim, Donghoon, et al. Shape-memory effect in twisted ferroic nanocomposites. ''Nat Commun''. 2023 Feb 10; '''14''' (1):750
Thermal Titration Molecular Dynamics (TTMD): Not Your Usual Post-Docking Refinement. Description: Menin, Silvia, et al. Thermal Titration Molecular Dynamics (TTMD): Not Your Usual Post-Docking Refinement. ''Int J Mol Sci''. 2023 Feb 10; '''24''' (4):
Quantum machine learning with differential privacy. Description: Watkins, William M, et al. Quantum machine learning with differential privacy. ''Sci Rep''. 2023 Feb 11; '''13''' (1):2453
Accurate Prediction of Enzyme Thermostabilization with Rosetta Using AlphaFold Ensembles. Description: Peccati, Francesca, et al. Accurate Prediction of Enzyme Thermostabilization with Rosetta Using AlphaFold Ensembles. ''J Chem Inf Model''. 2023 Feb 13; '''63''' (3):898-909
A Machine Learning Approach Reveals a Microbiota Signature for Infection with Mycobacterium avium subsp. paratuberculosis in Cattle. Description: Lee, Sang-Mok, et al. A Machine Learning Approach Reveals a Microbiota Signature for Infection with Mycobacterium avium subsp. paratuberculosis in Cattle. ''Microbiol Spectr''. 2023 Feb 14; '''11''' (1):e0313422
Decoding the metabolic response of Escherichia coli for sensing trace heavy metals in water. Description: Wei, Hong, et al. Decoding the metabolic response of Escherichia coli for sensing trace heavy metals in water. ''Proc Natl Acad Sci U S A''. 2023 Feb 14; '''120''' (7):e2210061120
Explainable Fuzzy Clustering Framework Reveals Divergent Default Mode Network Connectivity Dynamics in Schizophrenia. Description: Ellis, Charles A, et al. Explainable Fuzzy Clustering Framework Reveals Divergent Default Mode Network Connectivity Dynamics in Schizophrenia. ''bioRxiv''. 2023 Feb 14;
Hybrid autoencoder with orthogonal latent space for robust population structure inference. Description: Yuan, Meng, et al. Hybrid autoencoder with orthogonal latent space for robust population structure inference. ''Sci Rep''. 2023 Feb 14; '''13''' (1):2612
Pervasive, conserved secondary structure in highly charged protein regions. Description: Triandafillou, Catherine G, et al. Pervasive, conserved secondary structure in highly charged protein regions. ''bioRxiv''. 2023 Feb 15;
Investigation of the spatial and temporal variation of soil salinity using Google Earth Engine: a case study at Werigan-Kuqa Oasis, West China. Description: Ma, Shilong, et al. Investigation of the spatial and temporal variation of soil salinity using Google Earth Engine: a case study at Werigan-Kuqa Oasis, West China. ''Sci Rep''. 2023 Feb 16; '''13''' (1):2754
Prediction and Design of Protease Enzyme Specificity Using a Structure-Aware Graph Convolutional Network. Description: Lu, Changpeng, et al. Prediction and Design of Protease Enzyme Specificity Using a Structure-Aware Graph Convolutional Network. ''bioRxiv''. 2023 Feb 16;
Translating transcriptomic findings from cancer model systems to humans through joint dimension reduction. Description: Price, Brandon A, et al. Translating transcriptomic findings from cancer model systems to humans through joint dimension reduction. ''Commun Biol''. 2023 Feb 16; '''6''' (1):179
Application of Machine Learning to Metabolomic Profile Characterization in Glioblastoma Patients Undergoing Concurrent Chemoradiation. Description: Aboud, Orwa, et al. Application of Machine Learning to Metabolomic Profile Characterization in Glioblastoma Patients Undergoing Concurrent Chemoradiation. ''Metabolites''. 2023 Feb 17; '''13''' (2):
Authentication of Polish Red Wines Produced from Zweigelt and Rondo Grape Varieties Based on Volatile Compounds Analysis in Combination with Machine Learning Algorithms: Hotrienol as a Marker of the Zweigelt Variety. Description: Stoj, Anna, et al. Authentication of Polish Red Wines Produced from Zweigelt and Rondo Grape Varieties Based on Volatile Compounds Analysis in Combination with Machine Learning Algorithms: Hotrienol as a Marker of the Zweigelt Variety. ''Molecules''. 2023 Feb 18; '''28''' (4):
Predicting Vasovagal Reactions to Needles from Facial Action Units. Description: Rudokaite, Judita, et al. Predicting Vasovagal Reactions to Needles from Facial Action Units. ''J Clin Med''. 2023 Feb 18; '''12''' (4):
Multi-Modal Stacking Ensemble for the Diagnosis of Cardiovascular Diseases. Description: Yoon, Taeyoung, et al. Multi-Modal Stacking Ensemble for the Diagnosis of Cardiovascular Diseases. ''J Pers Med''. 2023 Feb 20; '''13''' (2):
Prediction of Suicidal Behaviors in the Middle-aged Population: Machine Learning Analyses of UK Biobank. Description: Wang, Junren, et al. Prediction of Suicidal Behaviors in the Middle-aged Population: Machine Learning Analyses of UK Biobank. ''JMIR Public Health Surveill''. 2023 Feb 20; '''9''': e43419
Towards automated in vivo parcellation of the human cerebral cortex using supervised classification of magnetic resonance fingerprinting residuals. Description: Moinian, Shahrzad, et al. Towards automated in vivo parcellation of the human cerebral cortex using supervised classification of magnetic resonance fingerprinting residuals. ''Cereb Cortex''. 2023 Feb 20; '''33''' (5):1550-1565
WebGIS-Based Real-Time Surveillance and Response System for Vector-Borne Infectious Diseases. Description: Javaid, Momna, et al. WebGIS-Based Real-Time Surveillance and Response System for Vector-Borne Infectious Diseases. ''Int J Environ Res Public Health''. 2023 Feb 20; '''20''' (4):
Gatekeeper mutations activate FGF receptor tyrosine kinases by destabilizing the autoinhibited state. Description: Besch, Alida, et al. Gatekeeper mutations activate FGF receptor tyrosine kinases by destabilizing the autoinhibited state. ''Proc Natl Acad Sci U S A''. 2023 Feb 21; '''120''' (8):e2213090120
Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning. Description: Patel, Maitray A, et al. Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning. ''Mol Med''. 2023 Feb 21; '''29''' (1):26
Annotation of uORFs in the OMIM genes allows to reveal pathogenic variants in 5'UTRs. Description: Filatova, Alexandra, et al. Annotation of uORFs in the OMIM genes allows to reveal pathogenic variants in 5'UTRs. ''Nucleic Acids Res''. 2023 Feb 22; '''51''' (3):1229-1244
Reconstructing clonal tree for phylo-phenotypic characterization of cancer using single-cell transcriptomics. Description: Jun, Seong-Hwan, et al. Reconstructing clonal tree for phylo-phenotypic characterization of cancer using single-cell transcriptomics. ''Nat Commun''. 2023 Feb 22; '''14''' (1):982
A 2-Gene Host Signature for Improved Accuracy of COVID-19 Diagnosis Agnostic to Viral Variants. Description: Albright, Jack, et al. A 2-Gene Host Signature for Improved Accuracy of COVID-19 Diagnosis Agnostic to Viral Variants. ''mSystems''. 2023 Feb 23; '''8''' (1):e0067122
Motor-effector dependent modulation of sensory-motor processes identified by the multivariate pattern analysis of EEG activity. Description: Choi, Kahyun, et al. Motor-effector dependent modulation of sensory-motor processes identified by the multivariate pattern analysis of EEG activity. ''Sci Rep''. 2023 Feb 23; '''13''' (1):3161
Neural population dynamics of computing with synaptic modulations. Description: Aitken, Kyle, et al. Neural population dynamics of computing with synaptic modulations. ''Elife''. 2023 Feb 23; '''12''':
Elucidation of Genome-wide Understudied Proteins targeted by PROTAC-induced degradation using Interpretable Machine Learning. Description: Xie, Li, et al. Elucidation of Genome-wide Understudied Proteins targeted by PROTAC-induced degradation using Interpretable Machine Learning. ''bioRxiv''. 2023 Feb 24;
Multi-Specialty Expert Physician Identification of Extranodal Extension in Computed Tomography Scans of Oropharyngeal Cancer Patients: Prospective Blinded Human Inter-Observer Performance Evaluation. Description: Sahin, Onur, et al. Multi-Specialty Expert Physician Identification of Extranodal Extension in Computed Tomography Scans of Oropharyngeal Cancer Patients: Prospective Blinded Human Inter-Observer Performance Evaluation. ''medRxiv''. 2023 Feb 26;
PIFiA: Self-supervised Approach for Protein Functional Annotation from Single-Cell Imaging Data. Description: Razdaibiedina, Anastasia, et al. PIFiA: Self-supervised Approach for Protein Functional Annotation from Single-Cell Imaging Data. ''bioRxiv''. 2023 Feb 27;
Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds. Description: Hoelzl, Cyprien, et al. Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds. ''Sensors (Basel)''. 2023 Feb 28; '''23''' (5):
New, fast, and precise method of COVID-19 detection in nasopharyngeal and tracheal aspirate samples combining optical spectroscopy and machine learning. Description: Ceccon, Denny M, et al. New, fast, and precise method of COVID-19 detection in nasopharyngeal and tracheal aspirate samples combining optical spectroscopy and machine learning. ''Braz J Microbiol''. 2023 Feb 28; 1-9
Transmicron: accurate prediction of insertion probabilities improves detection of cancer driver genes from transposon mutagenesis screens. Description: Bredthauer, Carl, et al. Transmicron: accurate prediction of insertion probabilities improves detection of cancer driver genes from transposon mutagenesis screens. ''Nucleic Acids Res''. 2023 Feb 28; '''51''' (4):e21
A meta-analysis of RNA-Seq studies to identify novel genes that regulate aging. Description: Bairakdar, Mohamad D, et al. A meta-analysis of RNA-Seq studies to identify novel genes that regulate aging. ''Exp Gerontol''. 2023 Mar; '''173''': 112107
An AI-guided screen identifies probucol as an enhancer of mitophagy through modulation of lipid droplets. Description: Moskal, Natalia, et al. An AI-guided screen identifies probucol as an enhancer of mitophagy through modulation of lipid droplets. ''PLoS Biol''. 2023 Mar; '''21''' (3):e3001977
Annelid functional genomics reveal the origins of bilaterian life cycles. Description: Martin-Zamora, Francisco M, et al. Annelid functional genomics reveal the origins of bilaterian life cycles. ''Nature''. 2023 Mar; '''615''' (7950):105-110
A Ubiquitination Cascade Regulating the Integrated Stress Response and Survival in Carcinomas. Description: Cervia, Lisa D, et al. A Ubiquitination Cascade Regulating the Integrated Stress Response and Survival in Carcinomas. ''Cancer Discov''. 2023 Mar 1; '''13''' (3):766-795
Autism-linked NLGN3 is a key regulator of gonadotropin-releasing hormone deficiency. Description: Oleari, Roberto, et al. Autism-linked NLGN3 is a key regulator of gonadotropin-releasing hormone deficiency. ''Dis Model Mech''. 2023 Mar 1; '''16''' (3):
Chlorine Dioxide Reprograms Rhizosphere Microbial Communities to Enrich Interactions with Tobacco (Nicotiana tabacum). Description: Qi, Shi, et al. Chlorine Dioxide Reprograms Rhizosphere Microbial Communities to Enrich Interactions with Tobacco (Nicotiana tabacum). ''Pol J Microbiol''. 2023 Mar 1; '''72''' (1):47-60
Depression core network-based individualized targeting for transcranial magnetic stimulation. Description: Raij, Tuukka T, et al. Depression core network-based individualized targeting for transcranial magnetic stimulation. ''Brain Stimul''. 2023 Mar-Apr; '''16''' (2):619-627
Developing better digital health measures of Parkinson's disease using free living data and a crowdsourced data analysis challenge. Description: Sieberts, Solveig K, et al. Developing better digital health measures of Parkinson's disease using free living data and a crowdsourced data analysis challenge. ''PLOS Digit Health''. 2023 Mar; '''2''' (3):e0000208
Diagnostic classification of childhood cancer using multiscale transcriptomics. Description: Comitani, Federico, et al. Diagnostic classification of childhood cancer using multiscale transcriptomics. ''Nat Med''. 2023 Mar; '''29''' (3):656-666
Evolution of synchronous female bilateral breast cancers and response to treatment. Description: Hamy, Anne-Sophie, et al. Evolution of synchronous female bilateral breast cancers and response to treatment. ''Nat Med''. 2023 Mar; '''29''' (3):646-655
Functional annotation of the animal genomes: An integrated annotation resource for the horse. Description: Peng, Sichong, et al. Functional annotation of the animal genomes: An integrated annotation resource for the horse. ''PLoS Genet''. 2023 Mar; '''19''' (3):e1010468
Large haplotypes highlight a complex age structure within the maize pan-genome. Description: Large haplotypes highlight a complex age structure within the maize pan-genome. ''''. 2023 Mar; '''33''' (3):359-370
MAEPI and CIR: New Metrics for Robust Evaluation of the Prediction Performance of AI-Based IOL Formulas. Description: Li, Tingyang, et al. MAEPI and CIR: New Metrics for Robust Evaluation of the Prediction Performance of AI-Based IOL Formulas. ''Transl Vis Sci Technol''. 2023 Mar 1; '''12''' (3):29
Modeling functional cell types in spike train data. Description: Zdeblick, Daniel N, et al. Modeling functional cell types in spike train data. ''bioRxiv''. 2023 Mar 1;
MRI Screening in Vestibular Schwannoma: A Deep Learning-based Analysis of Clinical and Audiometric Data. Description: Kortebein, Sarah, et al. MRI Screening in Vestibular Schwannoma: A Deep Learning-based Analysis of Clinical and Audiometric Data. ''Otol Neurotol Open''. 2023 Mar; '''3''' (1):e028
NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML. Description: Birgiolas, Justas, et al. NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML. ''PLoS Comput Biol''. 2023 Mar; '''19''' (3):e1010941
Nucleosome Patterns in Circulating Tumor DNA Reveal Transcriptional Regulation of Advanced Prostate Cancer Phenotypes. Description: De Sarkar, Navonil, et al. Nucleosome Patterns in Circulating Tumor DNA Reveal Transcriptional Regulation of Advanced Prostate Cancer Phenotypes. ''Cancer Discov''. 2023 Mar 1; '''13''' (3):632-653
Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach. Description: Garcia-Argibay, Miguel, et al. Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach. ''Mol Psychiatry''. 2023 Mar; '''28''' (3):1232-1239
Quantitative Analysis of Vascular Abnormalities in Full-Term Infants With Mild Familial Exudative Vitreoretinopathy. Description: Li, Peng, et al. Quantitative Analysis of Vascular Abnormalities in Full-Term Infants With Mild Familial Exudative Vitreoretinopathy. ''Transl Vis Sci Technol''. 2023 Mar 1; '''12''' (3):16
The hair cell analysis toolbox is a precise and fully automated pipeline for whole cochlea hair cell quantification. Description: Buswinka, Christopher J, et al. The hair cell analysis toolbox is a precise and fully automated pipeline for whole cochlea hair cell quantification. ''PLoS Biol''. 2023 Mar; '''21''' (3):e3002041
Tumor Habitat Analysis Using Longitudinal Physiological MRI to Predict Tumor Recurrence After Stereotactic Radiosurgery for Brain Metastasis. Description: Lee, Da Hyun, et al. Tumor Habitat Analysis Using Longitudinal Physiological MRI to Predict Tumor Recurrence After Stereotactic Radiosurgery for Brain Metastasis. ''Korean J Radiol''. 2023 Mar; '''24''' (3):235-246
Using an Affordable Motion Capture System to Evaluate the Prognostic Value of Drop Vertical Jump Parameters for Noncontact ACL Injury. Description: Corban, Jason, et al. Using an Affordable Motion Capture System to Evaluate the Prognostic Value of Drop Vertical Jump Parameters for Noncontact ACL Injury. ''Am J Sports Med''. 2023 Mar; '''51''' (4):1059-1066
Using graph neural networks for site-of-metabolism prediction and its applications to ranking promiscuous enzymatic products. Description: Porokhin, Vladimir, et al. Using graph neural networks for site-of-metabolism prediction and its applications to ranking promiscuous enzymatic products. ''Bioinformatics''. 2023 Mar 1; '''39''' (3):
A deep learning architecture for energy service demand estimation in transport sector for Shared Socioeconomic Pathways. Description: Joshi, Siddharth, et al. A deep learning architecture for energy service demand estimation in transport sector for Shared Socioeconomic Pathways. ''Sci Rep''. 2023 Mar 2; '''13''' (1):3522
Association between spironolactone use and COVID-19 outcomes in population-scale claims data: a retrospective cohort study. Description: Cousins, Henry C, et al. Association between spironolactone use and COVID-19 outcomes in population-scale claims data: a retrospective cohort study. ''medRxiv''. 2023 Mar 2;
Cluster analysis of plasma cytokines identifies two unique endotypes of children with asthma in the pediatric intensive care unit. Description: Cottrill, Kirsten A, et al. Cluster analysis of plasma cytokines identifies two unique endotypes of children with asthma in the pediatric intensive care unit. ''Sci Rep''. 2023 Mar 2; '''13''' (1):3521
COVID-19 Response Resource Engagement and User Characteristics of the Wichealth Web-Based Nutrition Education System: Comparative Cross-sectional Study. Description: Brusk, John J, et al. COVID-19 Response Resource Engagement and User Characteristics of the Wichealth Web-Based Nutrition Education System: Comparative Cross-sectional Study. ''JMIR Form Res''. 2023 Mar 2; '''7''': e38667
Devising a deep neural network based mammography phantom image filtering algorithm using images obtained under mAs and kVp control. Description: Park, Sung Soo, et al. Devising a deep neural network based mammography phantom image filtering algorithm using images obtained under mAs and kVp control. ''Sci Rep''. 2023 Mar 2; '''13''' (1):3545
Clustering of serum biomarkers involved in post-aneurysmal subarachnoid hemorrhage (aSAH) complications. Description: Fischer, Igor, et al. Clustering of serum biomarkers involved in post-aneurysmal subarachnoid hemorrhage (aSAH) complications. ''Neurosurg Rev''. 2023 Mar 3; '''46''' (1):63
Machine learning identifies straightforward early warning rules for human Puumala hantavirus outbreaks. Description: Kazasidis, Orestis, et al. Machine learning identifies straightforward early warning rules for human Puumala hantavirus outbreaks. ''Sci Rep''. 2023 Mar 3; '''13''' (1):3585
Virtual Screening of Benzimidazole Derivatives as Potential Triose Phosphate Isomerase Inhibitors with Biological Activity against Leishmania mexicana. Description: Vazquez-Jimenez, Lenci K, et al. Virtual Screening of Benzimidazole Derivatives as Potential Triose Phosphate Isomerase Inhibitors with Biological Activity against Leishmania mexicana. ''Pharmaceuticals (Basel)''. 2023 Mar 3; '''16''' (3):
Comparison of various machine learning algorithms used for compressive strength prediction of steel fiber-reinforced concrete. Description: Pakzad, Seyed Soroush, et al. Comparison of various machine learning algorithms used for compressive strength prediction of steel fiber-reinforced concrete. ''Sci Rep''. 2023 Mar 4; '''13''' (1):3646
Age Classification of Rice Seeds in Japan Using Gradient-Boosting and ANFIS Algorithms. Description: Rathnayake, Namal, et al. Age Classification of Rice Seeds in Japan Using Gradient-Boosting and ANFIS Algorithms. ''Sensors (Basel)''. 2023 Mar 5; '''23''' (5):
Machine Learning Identification of Obstructive Sleep Apnea Severity through the Patient Clinical Features: A Retrospective Study. Description: Maniaci, Antonino, et al. Machine Learning Identification of Obstructive Sleep Apnea Severity through the Patient Clinical Features: A Retrospective Study. ''Life (Basel)''. 2023 Mar 5; '''13''' (3):
Decision Tree Ensembles Utilizing Multivariate Splits Are Effective at Investigating Beta Diversity in Medically Relevant 16S Amplicon Sequencing Data. Description: Rudar, Josip, et al. Decision Tree Ensembles Utilizing Multivariate Splits Are Effective at Investigating Beta Diversity in Medically Relevant 16S Amplicon Sequencing Data. ''Microbiol Spectr''. 2023 Mar 6; '''11''' (2):e0206522
Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline. Description: Ye, Zezhong, et al. Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline. ''medRxiv''. 2023 Mar 6;
Rapid Prediction of Multidrug-Resistant Klebsiella pneumoniae through Deep Learning Analysis of SERS Spectra. Description: Lyu, Jing-Wen, et al. Rapid Prediction of Multidrug-Resistant Klebsiella pneumoniae through Deep Learning Analysis of SERS Spectra. ''Microbiol Spectr''. 2023 Mar 6; '''11''' (2):e0412622
Understanding the Free Energy Landscape of Phase Separation in Lipid Bilayers using Molecular Dynamics. Description: Poruthoor, Ashlin J, et al. Understanding the Free Energy Landscape of Phase Separation in Lipid Bilayers using Molecular Dynamics. ''bioRxiv''. 2023 Mar 6;
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions. Description: Belay, Mohammed Ayalew, et al. Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions. ''Sensors (Basel)''. 2023 Mar 6; '''23''' (5):
Application of Computational Data Modeling to a Large-Scale Population Cohort Assists the Discovery of Inositol as a Strain-Specific Substrate for Faecalibacterium prausnitzii. Description: Dogra, Shaillay Kumar, et al. Application of Computational Data Modeling to a Large-Scale Population Cohort Assists the Discovery of Inositol as a Strain-Specific Substrate for Faecalibacterium prausnitzii. ''Nutrients''. 2023 Mar 7; '''15''' (6):
Cross-species predictive modeling reveals conserved drought responses between maize and sorghum. Description: Pardo, Jeremy, et al. Cross-species predictive modeling reveals conserved drought responses between maize and sorghum. ''Proc Natl Acad Sci U S A''. 2023 Mar 7; '''120''' (10):e2216894120
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Description: Macri, Carmelo, et al. Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. ''J Med Internet Res''. 2023 Mar 7; '''25''': e42789
Machine learning prediction for COVID-19 disease severity at hospital admission. Description: Raman, Ganesh, et al. Machine learning prediction for COVID-19 disease severity at hospital admission. ''BMC Med Inform Decis Mak''. 2023 Mar 7; '''23''' (1):46
Tigerfish designs oligonucleotide-based in situ hybridization probes targeting intervals of highly repetitive DNA at the scale of genomes. Description: Aguilar, Robin, et al. Tigerfish designs oligonucleotide-based in situ hybridization probes targeting intervals of highly repetitive DNA at the scale of genomes. ''bioRxiv''. 2023 Mar 7;
Computer Vision Analysis of Specimen Mammography to Predict Margin Status. Description: Chen, Kevin A, et al. Computer Vision Analysis of Specimen Mammography to Predict Margin Status. ''medRxiv''. 2023 Mar 8;
Disintegration and Machine-Learning-Assisted Identification of Bacteria on Antimicrobial and Plasmonic Ag-Cu(x)O Nanostructures. Description: Sahin, Furkan, et al. Disintegration and Machine-Learning-Assisted Identification of Bacteria on Antimicrobial and Plasmonic Ag-Cu(x)O Nanostructures. ''ACS Appl Mater Interfaces''. 2023 Mar 8; '''15''' (9):11563-11574
Preparing pathological data to develop an artificial intelligence model in the nonclinical study. Description: Hwang, Ji-Hee, et al. Preparing pathological data to develop an artificial intelligence model in the nonclinical study. ''Sci Rep''. 2023 Mar 8; '''13''' (1):3896
Assessment of Alzheimer-related pathologies of dementia using machine learning feature selection. Description: Rajab, Mohammed D, et al. Assessment of Alzheimer-related pathologies of dementia using machine learning feature selection. ''Alzheimers Res Ther''. 2023 Mar 10; '''15''' (1):47
Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms? Description: Mu, N, et al. Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms? ''Biomed Phys Eng Express''. 2023 Mar 10; '''9''' (3):
Gray level co-occurrence matrix and wavelet analyses reveal discrete changes in proximal tubule cell nuclei after mild acute kidney injury. Description: Pantic, Igor, et al. Gray level co-occurrence matrix and wavelet analyses reveal discrete changes in proximal tubule cell nuclei after mild acute kidney injury. ''Sci Rep''. 2023 Mar 10; '''13''' (1):4025
Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization. Description: Vincze, Anna, et al. Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization. ''Pharmaceutics''. 2023 Mar 10; '''15''' (3):
Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms. Description: Ou, Shuo-Ming, et al. Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms. ''BioData Min''. 2023 Mar 10; '''16''' (1):8
A deep population reference panel of tandem repeat variation. Description: Jam, Helyaneh Ziaei, et al. A deep population reference panel of tandem repeat variation. ''bioRxiv''. 2023 Mar 12;
Machine Learning Predicting Optimal Preparation of Silica-Coated Gold Nanorods for Photothermal Tumor Ablation. Description: Zhang, Jintao, et al. Machine Learning Predicting Optimal Preparation of Silica-Coated Gold Nanorods for Photothermal Tumor Ablation. ''Nanomaterials (Basel)''. 2023 Mar 12; '''13''' (6):
Activity regulates a cell type-specific mitochondrial phenotype in zebrafish lateral line hair cells. Description: McQuate, Andrea, et al. Activity regulates a cell type-specific mitochondrial phenotype in zebrafish lateral line hair cells. ''Elife''. 2023 Mar 13; '''12''':
A generalizable machine learning framework for classifying DNA repair defects using ctDNA exomes. Description: Ritch, Elie J, et al. A generalizable machine learning framework for classifying DNA repair defects using ctDNA exomes. ''NPJ Precis Oncol''. 2023 Mar 13; '''7''' (1):27
Automatic Diagnosis of Infectious Keratitis Based on Slit Lamp Images Analysis. Description: Hu, Shaodan, et al. Automatic Diagnosis of Infectious Keratitis Based on Slit Lamp Images Analysis. ''J Pers Med''. 2023 Mar 13; '''13''' (3):
Evidence for embracing normative modeling. Description: Rutherford, Saige, et al. Evidence for embracing normative modeling. ''Elife''. 2023 Mar 13; '''12''':
Development and Assessment of Assisted Diagnosis Models Using Machine Learning for Identifying Elderly Patients With Malnutrition: Cohort Study. Description: Wang, Xue, et al. Development and Assessment of Assisted Diagnosis Models Using Machine Learning for Identifying Elderly Patients With Malnutrition: Cohort Study. ''J Med Internet Res''. 2023 Mar 14; '''25''': e42435
Scalable Analysis of Untargeted LC-HRMS Data by Means of SQL Database Archiving. Description: Mardal, Marie, et al. Scalable Analysis of Untargeted LC-HRMS Data by Means of SQL Database Archiving. ''Anal Chem''. 2023 Mar 14; '''95''' (10):4592-4596
Turning high-throughput structural biology into predictive inhibitor design. Description: Saar, Kadi L, et al. Turning high-throughput structural biology into predictive inhibitor design. ''Proc Natl Acad Sci U S A''. 2023 Mar 14; '''120''' (11):e2214168120
A Machine-Learning-Based Approach for Predicting Mechanical Performance of Semi-Porous Hip Stems. Description: Akkad, Khaled, et al. A Machine-Learning-Based Approach for Predicting Mechanical Performance of Semi-Porous Hip Stems. ''J Funct Biomater''. 2023 Mar 15; '''14''' (3):
Epistatic Features and Machine Learning Improve Alzheimer's Risk Prediction Over Polygenic Risk Scores. Description: Hermes, Stephen, et al. Epistatic Features and Machine Learning Improve Alzheimer's Risk Prediction Over Polygenic Risk Scores. ''medRxiv''. 2023 Mar 15;
IntelliSleepScorer, a software package with a graphic user interface for automated sleep stage scoring in mice based on a light gradient boosting machine algorithm. Description: Wang, Lei A, et al. IntelliSleepScorer, a software package with a graphic user interface for automated sleep stage scoring in mice based on a light gradient boosting machine algorithm. ''Sci Rep''. 2023 Mar 15; '''13''' (1):4275
Analysis of Genome Structure and Its Variations in Potato Cultivars Grown in Russia. Description: Karetnikov, Dmitry I, et al. Analysis of Genome Structure and Its Variations in Potato Cultivars Grown in Russia. ''Int J Mol Sci''. 2023 Mar 16; '''24''' (6):
Guide-specific loss of efficiency and off-target reduction with Cas9 variants. Description: Zhang, Liang, et al. Guide-specific loss of efficiency and off-target reduction with Cas9 variants. ''bioRxiv''. 2023 Mar 16;
Harnessing Fc/FcRn Affinity Data from Patents with Different Machine Learning Methods. Description: Dumet, Christophe, et al. Harnessing Fc/FcRn Affinity Data from Patents with Different Machine Learning Methods. ''Int J Mol Sci''. 2023 Mar 16; '''24''' (6):
Integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma. Description: Zhang, Yang, et al. Integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma. ''Nat Commun''. 2023 Mar 16; '''14''' (1):1466
Lineage-informative microhaplotypes for spatio-temporal surveillance of Plasmodium vivax malaria parasites. Description: Siegel, Sasha V, et al. Lineage-informative microhaplotypes for spatio-temporal surveillance of Plasmodium vivax malaria parasites. ''medRxiv''. 2023 Mar 16;
Machine Learning Full NMR Chemical Shift Tensors of Silicon Oxides with Equivariant Graph Neural Networks. Description: Venetos, Maxwell C, et al. Machine Learning Full NMR Chemical Shift Tensors of Silicon Oxides with Equivariant Graph Neural Networks. ''J Phys Chem A''. 2023 Mar 16; '''127''' (10):2388-2398
Metabolomics integrated with machine learning to discriminate the geographic origin of Rougui Wuyi rock tea. Description: Peng, Yifei, et al. Metabolomics integrated with machine learning to discriminate the geographic origin of Rougui Wuyi rock tea. ''NPJ Sci Food''. 2023 Mar 16; '''7''' (1):7
Using Deep-Learning-Based Artificial Intelligence Technique to Automatically Evaluate the Collateral Status of Multiphase CTA in Acute Ischemic Stroke. Description: Huang, Chun-Chao, et al. Using Deep-Learning-Based Artificial Intelligence Technique to Automatically Evaluate the Collateral Status of Multiphase CTA in Acute Ischemic Stroke. ''Tomography''. 2023 Mar 16; '''9''' (2):647-656
Improving the Classification of PCNSL and Brain Metastases by Developing a Machine Learning Model Based on (18)F-FDG PET. Description: Cui, Can, et al. Improving the Classification of PCNSL and Brain Metastases by Developing a Machine Learning Model Based on (18)F-FDG PET. ''J Pers Med''. 2023 Mar 17; '''13''' (3):
Opposite effects of positive and negative symptoms on resting-state brain networks in schizophrenia. Description: Wang, Xinrui, et al. Opposite effects of positive and negative symptoms on resting-state brain networks in schizophrenia. ''Commun Biol''. 2023 Mar 17; '''6''' (1):279
Evaluating explainability for graph neural networks. Description: Agarwal, Chirag, et al. Evaluating explainability for graph neural networks. ''Sci Data''. 2023 Mar 18; '''10''' (1):144
AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning. Description: Pan, Xingxin, et al. AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning. ''Brief Bioinform''. 2023 Mar 19; '''24''' (2):
Approaching Artificial Intelligence in Orthopaedics: Predictive Analytics and Machine Learning to Prognosticate Arthroscopic Rotator Cuff Surgical Outcomes. Description: Potty, Anish G, et al. Approaching Artificial Intelligence in Orthopaedics: Predictive Analytics and Machine Learning to Prognosticate Arthroscopic Rotator Cuff Surgical Outcomes. ''J Clin Med''. 2023 Mar 19; '''12''' (6):
In Silico Prediction of Metabolic Reaction Catalyzed by Human Aldehyde Oxidase. Description: Huang, Mengting, et al. In Silico Prediction of Metabolic Reaction Catalyzed by Human Aldehyde Oxidase. ''Metabolites''. 2023 Mar 19; '''13''' (3):
Chemical rules for optimization of chemical mutagenicity via matched molecular pairs analysis and machine learning methods. Description: Lou, Chaofeng, et al. Chemical rules for optimization of chemical mutagenicity via matched molecular pairs analysis and machine learning methods. ''J Cheminform''. 2023 Mar 20; '''15''' (1):35
Psychological Health and Drugs: Data-Driven Discovery of Causes, Treatments, Effects, and Abuses. Description: Alswedani, Sarah, et al. Psychological Health and Drugs: Data-Driven Discovery of Causes, Treatments, Effects, and Abuses. ''Toxics''. 2023 Mar 20; '''11''' (3):
The utility of airborne hyperspectral and satellite multispectral images in identifying Natura 2000 non-forest habitats for conservation purposes. Description: Jarocinska, Anna, et al. The utility of airborne hyperspectral and satellite multispectral images in identifying Natura 2000 non-forest habitats for conservation purposes. ''Sci Rep''. 2023 Mar 20; '''13''' (1):4549
DeepGeni: deep generalized interpretable autoencoder elucidates gut microbiota for better cancer immunotherapy. Description: Oh, Min, et al. DeepGeni: deep generalized interpretable autoencoder elucidates gut microbiota for better cancer immunotherapy. ''Sci Rep''. 2023 Mar 21; '''13''' (1):4599
Revealing determinants of translation efficiency via whole-gene codon randomization and machine learning. Description: Nieuwkoop, Thijs, et al. Revealing determinants of translation efficiency via whole-gene codon randomization and machine learning. ''Nucleic Acids Res''. 2023 Mar 21; '''51''' (5):2363-2376
Serum immuno-oncology markers carry independent prognostic information in patients with newly diagnosed metastatic breast cancer, from a prospective observational study. Description: Gunnarsdottir, Frida Bjork, et al. Serum immuno-oncology markers carry independent prognostic information in patients with newly diagnosed metastatic breast cancer, from a prospective observational study. ''Breast Cancer Res''. 2023 Mar 21; '''25''' (1):29
MSLP: mRNA subcellular localization predictor based on machine learning techniques. Description: Musleh, Saleh, et al. MSLP: mRNA subcellular localization predictor based on machine learning techniques. ''BMC Bioinformatics''. 2023 Mar 22; '''24''' (1):109
Sensory and Choice Responses in MT Distinct from Motion Encoding. Description: Levi, Aaron J, et al. Sensory and Choice Responses in MT Distinct from Motion Encoding. ''J Neurosci''. 2023 Mar 22; '''43''' (12):2090-2103
Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality. Description: Min, Sooyeon, et al. Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality. ''J Med Internet Res''. 2023 Mar 23; '''25''': e45456
A multi-sensor dataset with annotated activities of daily living recorded in a residential setting. Description: Tonkin, Emma L, et al. A multi-sensor dataset with annotated activities of daily living recorded in a residential setting. ''Sci Data''. 2023 Mar 23; '''10''' (1):162
IgG1 and IgG4 antibodies sample initial structure dependent local conformational states and exhibit non-identical Fab dynamics. Description: Natesan, Ramakrishnan, et al. IgG1 and IgG4 antibodies sample initial structure dependent local conformational states and exhibit non-identical Fab dynamics. ''Sci Rep''. 2023 Mar 23; '''13''' (1):4791
Phase prediction and experimental realisation of a new high entropy alloy using machine learning. Description: Singh, Swati, et al. Phase prediction and experimental realisation of a new high entropy alloy using machine learning. ''Sci Rep''. 2023 Mar 23; '''13''' (1):4811
Accurate Post-Calibration Predictions for Noninvasive Glucose Measurements in People Using Confocal Raman Spectroscopy. Description: Pors, Anders, et al. Accurate Post-Calibration Predictions for Noninvasive Glucose Measurements in People Using Confocal Raman Spectroscopy. ''ACS Sens''. 2023 Mar 24; '''8''' (3):1272-1279
Detection of Plastic Granules and Their Mixtures. Description: Kulko, Roman-David, et al. Detection of Plastic Granules and Their Mixtures. ''Sensors (Basel)''. 2023 Mar 24; '''23''' (7):
Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation. Description: Owen, David, et al. Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation. ''JMIR AI''. 2023 Mar 24; '''2''': e41205
Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers. Description: Shin, Hyunku, et al. Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers. ''Nat Commun''. 2023 Mar 24; '''14''' (1):1644
Integrative proteogenomic characterization of early esophageal cancer. Description: Li, Lingling, et al. Integrative proteogenomic characterization of early esophageal cancer. ''Nat Commun''. 2023 Mar 25; '''14''' (1):1666
A Study on ML-Based Software Defect Detection for Security Traceability in Smart Healthcare Applications. Description: Mcmurray, Samuel, et al. A Study on ML-Based Software Defect Detection for Security Traceability in Smart Healthcare Applications. ''Sensors (Basel)''. 2023 Mar 26; '''23''' (7):
Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices. Description: Razmpour, Farkhondeh, et al. Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices. ''Sci Rep''. 2023 Mar 27; '''13''' (1):4942
Bacterial Colony Phenotyping with Hyperspectral Elastic Light Scattering Patterns. Description: Doh, Iyll-Joon, et al. Bacterial Colony Phenotyping with Hyperspectral Elastic Light Scattering Patterns. ''Sensors (Basel)''. 2023 Mar 27; '''23''' (7):
Comparison of Optimal Machine Learning Algorithms for Early Detection of Unknown Hazardous Chemicals in Rivers Using Sensor Monitoring Data. Description: Nam, Su Han, et al. Comparison of Optimal Machine Learning Algorithms for Early Detection of Unknown Hazardous Chemicals in Rivers Using Sensor Monitoring Data. ''Toxics''. 2023 Mar 27; '''11''' (4):
Current sequence-based models capture gene expression determinants in promoters but mostly ignore distal enhancers. Description: Karollus, Alexander, et al. Current sequence-based models capture gene expression determinants in promoters but mostly ignore distal enhancers. ''Genome Biol''. 2023 Mar 27; '''24''' (1):56
Structural Insights into ATP-Sensitive Potassium Channel Mechanics: A Role of Intrinsically Disordered Regions. Description: Walczewska-Szewc, Katarzyna, et al. Structural Insights into ATP-Sensitive Potassium Channel Mechanics: A Role of Intrinsically Disordered Regions. ''J Chem Inf Model''. 2023 Mar 27; '''63''' (6):1806-1818
A comparison of machine learning models' accuracy in predicting lower-limb joints' kinematics, kinetics, and muscle forces from wearable sensors. Description: Moghadam, Shima Mohammadi, et al. A comparison of machine learning models' accuracy in predicting lower-limb joints' kinematics, kinetics, and muscle forces from wearable sensors. ''Sci Rep''. 2023 Mar 28; '''13''' (1):5046
HSC-independent definitive hematopoiesis persists into adult life. Description: Kobayashi, Michihiro, et al. HSC-independent definitive hematopoiesis persists into adult life. ''Cell Rep''. 2023 Mar 28; '''42''' (3):112239
Interpretable spatial cell learning enhances the characterization of patient tissue microenvironments with highly multiplexed imaging data. Description: Lu, Peng, et al. Interpretable spatial cell learning enhances the characterization of patient tissue microenvironments with highly multiplexed imaging data. ''bioRxiv''. 2023 Mar 28;
Phenotypic heterogeneity in the bacterial oxidative stress response is driven by cell-cell interactions. Description: Choudhary, Divya, et al. Phenotypic heterogeneity in the bacterial oxidative stress response is driven by cell-cell interactions. ''Cell Rep''. 2023 Mar 28; '''42''' (3):112168
Prediction of ciprofloxacin resistance in hospitalized patients using machine learning. Description: Mintz, Igor, et al. Prediction of ciprofloxacin resistance in hospitalized patients using machine learning. ''Commun Med (Lond)''. 2023 Mar 28; '''3''' (1):43
Sensing Antibiotics in Wastewater Using Surface-Enhanced Raman Scattering. Description: Huang, Yen-Hsiang, et al. Sensing Antibiotics in Wastewater Using Surface-Enhanced Raman Scattering. ''Environ Sci Technol''. 2023 Mar 28; '''57''' (12):4880-4891
A corpus of CO(2) electrocatalytic reduction process extracted from the scientific literature. Description: Wang, Ludi, et al. A corpus of CO(2) electrocatalytic reduction process extracted from the scientific literature. ''Sci Data''. 2023 Mar 29; '''10''' (1):175
Cluster-Based Toxicity Estimation of Osteoradionecrosis via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification. Description: Hosseinian, Seyedmohammadhossein, et al. Cluster-Based Toxicity Estimation of Osteoradionecrosis via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification. ''medRxiv''. 2023 Mar 29;
Computed-tomography-based radiomic nomogram for predicting the risk of indeterminate small (5-20 mm) solid pulmonary nodules. Description: Zhang, Chun-Ran, et al. Computed-tomography-based radiomic nomogram for predicting the risk of indeterminate small (5-20 mm) solid pulmonary nodules. ''Diagn Interv Radiol''. 2023 Mar 29; '''29''' (2):283-290
MS2Query: reliable and scalable MS(2) mass spectra-based analogue search. Description: de Jonge, Niek F, et al. MS2Query: reliable and scalable MS(2) mass spectra-based analogue search. ''Nat Commun''. 2023 Mar 29; '''14''' (1):1752
Prediction of breast cancer using blood microbiome and identification of foods for breast cancer prevention. Description: An, Jeongshin, et al. Prediction of breast cancer using blood microbiome and identification of foods for breast cancer prevention. ''Sci Rep''. 2023 Mar 29; '''13''' (1):5110
Prediction of malignancy upgrade rate in high-risk breast lesions using an artificial intelligence model: a retrospective study. Description: Aslan, Ozge, et al. Prediction of malignancy upgrade rate in high-risk breast lesions using an artificial intelligence model: a retrospective study. ''Diagn Interv Radiol''. 2023 Mar 29; '''29''' (2):260-267
Revisiting the baby schema by a geometric morphometric analysis of infant facial characteristics across great apes. Description: Kawaguchi, Yuri, et al. Revisiting the baby schema by a geometric morphometric analysis of infant facial characteristics across great apes. ''Sci Rep''. 2023 Mar 29; '''13''' (1):5129
AllenDigger, a Tool for Spatial Expression Data Visualization, Spatial Heterogeneity Delineation, and Single-Cell Registration Based on the Allen Brain Atlas. Description: Wang, Mengdi, et al. AllenDigger, a Tool for Spatial Expression Data Visualization, Spatial Heterogeneity Delineation, and Single-Cell Registration Based on the Allen Brain Atlas. ''J Phys Chem A''. 2023 Mar 30; '''127''' (12):2864-2872
Assessing the utility of a sliding-windows deep neural network approach for risk prediction of trauma patients. Description: Bonde, Alexander, et al. Assessing the utility of a sliding-windows deep neural network approach for risk prediction of trauma patients. ''Sci Rep''. 2023 Mar 30; '''13''' (1):5176
Autofluorescence imaging permits label-free cell type assignment and reveals the dynamic formation of airway secretory cell associated antigen passages (SAPs). Description: Shah, Viral S, et al. Autofluorescence imaging permits label-free cell type assignment and reveals the dynamic formation of airway secretory cell associated antigen passages (SAPs). ''Elife''. 2023 Mar 30; '''12''':
Continuous cuffless blood pressure monitoring with a wearable ring bioimpedance device. Description: Sel, Kaan, et al. Continuous cuffless blood pressure monitoring with a wearable ring bioimpedance device. ''NPJ Digit Med''. 2023 Mar 30; '''6''' (1):59
Discovery of Potential Inhibitors of SARS-CoV-2 Main Protease by a Transfer Learning Method. Description: Zhang, Huijun, et al. Discovery of Potential Inhibitors of SARS-CoV-2 Main Protease by a Transfer Learning Method. ''Viruses''. 2023 Mar 30; '''15''' (4):
Functional connectomics reveals general wiring rule in mouse visual cortex. Description: Ding, Zhuokun, et al. Functional connectomics reveals general wiring rule in mouse visual cortex. ''bioRxiv''. 2023 Mar 30;
Bayesian stroke modeling details sex biases in the white matter substrates of aphasia. Description: Kernbach, Julius M, et al. Bayesian stroke modeling details sex biases in the white matter substrates of aphasia. ''Commun Biol''. 2023 Mar 31; '''6''' (1):354
Functional activity level reported by an informant is an early predictor of Alzheimer's disease. Description: Vik, Alexandra, et al. Functional activity level reported by an informant is an early predictor of Alzheimer's disease. ''BMC Geriatr''. 2023 Mar 31; '''23''' (1):205
Metabolically Active Zones Involving Fatty Acid Elongation Delineated by DESI-MSI Correlate with Pathological and Prognostic Features of Colorectal Cancer. Description: Kaufmann, Martin, et al. Metabolically Active Zones Involving Fatty Acid Elongation Delineated by DESI-MSI Correlate with Pathological and Prognostic Features of Colorectal Cancer. ''Metabolites''. 2023 Mar 31; '''13''' (4):
Signatures of T cell immunity revealed using sequence similarity with TCRDivER algorithm. Description: Vujovic, Milena, et al. Signatures of T cell immunity revealed using sequence similarity with TCRDivER algorithm. ''Commun Biol''. 2023 Mar 31; '''6''' (1):357
Transcription-replication interactions reveal principles of bacterial genome regulation. Description: Yanai, Itai, et al. Transcription-replication interactions reveal principles of bacterial genome regulation. ''Res Sq''. 2023 Mar 31;
A stance dataset with aspect-based sentiment information from Indonesian COVID-19 vaccination-related tweets. Description: Purwitasari, Diana, et al. A stance dataset with aspect-based sentiment information from Indonesian COVID-19 vaccination-related tweets. ''Data Brief''. 2023 Apr; '''47''': 108951
Bioinformatics Analysis Reveals a Shared Pathway for Common Forms of Adult Nephrotic Syndrome. Description: Li, DengFeng, et al. Bioinformatics Analysis Reveals a Shared Pathway for Common Forms of Adult Nephrotic Syndrome. ''Kidney360''. 2023 Apr 1; '''4''' (4):e515-e524
Breaking spore dormancy in budding yeast transforms the cytoplasm and the solubility of the proteome. Description: Plante, Samuel, et al. Breaking spore dormancy in budding yeast transforms the cytoplasm and the solubility of the proteome. ''PLoS Biol''. 2023 Apr; '''21''' (4):e3002042
Data Modeling Using Vital Sign Dynamics for In-hospital Mortality Classification in Patients with Acute Coronary Syndrome. Description: Limprasert, Sarawuth, et al. Data Modeling Using Vital Sign Dynamics for In-hospital Mortality Classification in Patients with Acute Coronary Syndrome. ''Healthc Inform Res''. 2023 Apr; '''29''' (2):120-131
Development and validation of a multivariable genotype-informed gestational diabetes prediction algorithm for clinical use in the Mexican population: insights into susceptibility mechanisms. Description: Zulueta, Mirella, et al. Development and validation of a multivariable genotype-informed gestational diabetes prediction algorithm for clinical use in the Mexican population: insights into susceptibility mechanisms. ''BMJ Open Diabetes Res Care''. 2023 Apr; '''11''' (2):
Differentiating peritoneal tuberculosis and peritoneal carcinomatosis based on a machine learning model with CT: a multicentre study. Description: Pang, Yu, et al. Differentiating peritoneal tuberculosis and peritoneal carcinomatosis based on a machine learning model with CT: a multicentre study. ''Abdom Radiol (NY)''. 2023 Apr; '''48''' (4):1545-1553
Efficient coding of natural scenes improves neural system identification. Description: Qiu, Yongrong, et al. Efficient coding of natural scenes improves neural system identification. ''PLoS Comput Biol''. 2023 Apr; '''19''' (4):e1011037
High-content high-throughput imaging reveals distinct connections between mitochondrial morphology and functionality for OXPHOS complex I, III, and V inhibitors. Description: van der Stel, Wanda, et al. High-content high-throughput imaging reveals distinct connections between mitochondrial morphology and functionality for OXPHOS complex I, III, and V inhibitors. ''Cell Biol Toxicol''. 2023 Apr; '''39''' (2):415-433
High-frequency time series comparison of Sentinel-1 and Sentinel-2 satellites for mapping open and vegetated water across the United States (2017-2021). Description: Vanderhoof, Melanie K, et al. High-frequency time series comparison of Sentinel-1 and Sentinel-2 satellites for mapping open and vegetated water across the United States (2017-2021). ''Remote Sens Environ''. 2023 Apr 1; '''288''': 1-28
Model certainty in cellular network-driven processes with missing data. Description: Irvin, Michael W, et al. Model certainty in cellular network-driven processes with missing data. ''PLoS Comput Biol''. 2023 Apr; '''19''' (4):e1011004
Motif conservation, stability, and host gene expression are the main drivers of snoRNA expression across vertebrates. Description: Fafard-Couture, Etienne, et al. Motif conservation, stability, and host gene expression are the main drivers of snoRNA expression across vertebrates. ''Genome Res''. 2023 Apr; '''33''' (4):525-540
Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention. Description: Watanabe, Kengo, et al. Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention. ''Nat Med''. 2023 Apr; '''29''' (4):996-1008
Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty-specific data. Description: Hinterwimmer, Florian, et al. Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty-specific data. ''Knee Surg Sports Traumatol Arthrosc''. 2023 Apr; '''31''' (4):1323-1333
Radiomics analysis of lung CT for multidrug resistance prediction in active tuberculosis: a multicentre study. Description: Li, Ye, et al. Radiomics analysis of lung CT for multidrug resistance prediction in active tuberculosis: a multicentre study. ''Eur Radiol''. 2023 Apr 1; 1-10
Using Explainable Artificial Intelligence to Predict Potentially Preventable Hospitalizations: A Population-Based Cohort Study in Denmark. Description: Riis, Anders Hammerich, et al. Using Explainable Artificial Intelligence to Predict Potentially Preventable Hospitalizations: A Population-Based Cohort Study in Denmark. ''Med Care''. 2023 Apr 1; '''61''' (4):226-236
Using machine learning to determine the time of exposure to infection by a respiratory pathogen. Description: Sharma, Kartikay, et al. Using machine learning to determine the time of exposure to infection by a respiratory pathogen. ''Sci Rep''. 2023 Apr 1; '''13''' (1):5340
Large-Scale Predictions of Compound Potency with Original and Modified Activity Classes Reveal General Prediction Characteristics and Intrinsic Limitations of Conventional Benchmarking Calculations. Description: Janela, Tiago, et al. Large-Scale Predictions of Compound Potency with Original and Modified Activity Classes Reveal General Prediction Characteristics and Intrinsic Limitations of Conventional Benchmarking Calculations. ''Pharmaceuticals (Basel)''. 2023 Apr 2; '''16''' (4):
Vis-NIR Spectroscopy Combined with GAN Data Augmentation for Predicting Soil Nutrients in Degraded Alpine Meadows on the Qinghai-Tibet Plateau. Description: Jiang, Chuanli, et al. Vis-NIR Spectroscopy Combined with GAN Data Augmentation for Predicting Soil Nutrients in Degraded Alpine Meadows on the Qinghai-Tibet Plateau. ''Sensors (Basel)''. 2023 Apr 2; '''23''' (7):
Analysis of sequential ruminal temperature sensor data from dairy cows to identify cow subgroups by clustering and predict calving through supervised machine learning. Description: Furukawa, Eri, et al. Analysis of sequential ruminal temperature sensor data from dairy cows to identify cow subgroups by clustering and predict calving through supervised machine learning. ''J Reprod Dev''. 2023 Apr 3; '''69''' (2):103-108
Artificial Intelligence-Enabled Analysis of Statin-Related Topics and Sentiments on Social Media. Description: Somani, Sulaiman, et al. Artificial Intelligence-Enabled Analysis of Statin-Related Topics and Sentiments on Social Media. ''JAMA Netw Open''. 2023 Apr 3; '''6''' (4):e239747
Atmospheric Boundary Layer Wind Profile Estimation Using Neural Networks, Mesoscale Models, and LiDAR Measurements. Description: Garcia-Gutierrez, Adrian, et al. Atmospheric Boundary Layer Wind Profile Estimation Using Neural Networks, Mesoscale Models, and LiDAR Measurements. ''Sensors (Basel)''. 2023 Apr 3; '''23''' (7):
High-Resolution Analysis of Mononuclear Phagocytes Reveals GPNMB as a Prognostic Marker in Human Colorectal Liver Metastasis. Description: Cortese, Nina, et al. High-Resolution Analysis of Mononuclear Phagocytes Reveals GPNMB as a Prognostic Marker in Human Colorectal Liver Metastasis. ''Cancer Immunol Res''. 2023 Apr 3; '''11''' (4):405-420
Low-level tuning biases in higher visual cortex reflect the semantic informativeness of visual features. Description: Henderson, Margaret M, et al. Low-level tuning biases in higher visual cortex reflect the semantic informativeness of visual features. ''J Vis''. 2023 Apr 3; '''23''' (4):8
Predictive machine learning approaches for the microstructural behavior of multiphase zirconium alloys. Description: Hasan, Tamir, et al. Predictive machine learning approaches for the microstructural behavior of multiphase zirconium alloys. ''Sci Rep''. 2023 Apr 3; '''13''' (1):5394
STGRNS: an interpretable transformer-based method for inferring gene regulatory networks from single-cell transcriptomic data. Description: Xu, Jing, et al. STGRNS: an interpretable transformer-based method for inferring gene regulatory networks from single-cell transcriptomic data. ''Bioinformatics''. 2023 Apr 3; '''39''' (4):
Circulating metabolites as potential biomarkers for the early detection and prognosis surveillance of gastrointestinal cancers. Description: Song, Guodong, et al. Circulating metabolites as potential biomarkers for the early detection and prognosis surveillance of gastrointestinal cancers. ''Metabolomics''. 2023 Apr 4; '''19''' (4):36
Deep Learning Methods Applied to Drug Concentration Prediction of Olanzapine. Description: Khusial, Richard, et al. Deep Learning Methods Applied to Drug Concentration Prediction of Olanzapine. ''Pharmaceutics''. 2023 Apr 4; '''15''' (4):
Emergence of belief-like representations through reinforcement learning. Description: Hennig, Jay A, et al. Emergence of belief-like representations through reinforcement learning. ''bioRxiv''. 2023 Apr 4;
Predicting patient decompensation from continuous physiologic monitoring in the emergency department. Description: Sundrani, Sameer, et al. Predicting patient decompensation from continuous physiologic monitoring in the emergency department. ''NPJ Digit Med''. 2023 Apr 4; '''6''' (1):60
Sustained upregulation of widespread hippocampal-neocortical coupling following memory encoding. Description: Folvik, Line, et al. Sustained upregulation of widespread hippocampal-neocortical coupling following memory encoding. ''Cereb Cortex''. 2023 Apr 4; '''33''' (8):4844-4858
Integrative Analysis of DNA Methylation and Gene Expression Data Identifies Potential Biomarkers and Functional Epigenetic Modules for SARS-CoV-2. Description: Li, Lu, et al. Integrative Analysis of DNA Methylation and Gene Expression Data Identifies Potential Biomarkers and Functional Epigenetic Modules for SARS-CoV-2. ''Biochem Genet''. 2023 Apr 5; 1-12
Organization and replicon interactions within the highly segmented genome of Borrelia burgdorferi. Description: Ren, Zhongqing, et al. Organization and replicon interactions within the highly segmented genome of Borrelia burgdorferi. ''bioRxiv''. 2023 Apr 5;
A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments. Description: Cardona-Alvarez, Yeison Nolberto, et al. A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments. ''Sensors (Basel)''. 2023 Apr 6; '''23''' (7):
CT Radiomics for Predicting Pathological Complete Response of Axillary Lymph Nodes in Breast Cancer After Neoadjuvant Chemotherapy: A Prospective Study. Description: Li, Yan-Ling, et al. CT Radiomics for Predicting Pathological Complete Response of Axillary Lymph Nodes in Breast Cancer After Neoadjuvant Chemotherapy: A Prospective Study. ''Oncologist''. 2023 Apr 6; '''28''' (4):e183-e190
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning. Description: Lu, Xiaoya, et al. Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning. ''BMC Med Inform Decis Mak''. 2023 Apr 6; '''23''' (1):59
Exploring the microbiome of oral epithelial dysplasia as a predictor of malignant progression. Description: Wright, Robyn J, et al. Exploring the microbiome of oral epithelial dysplasia as a predictor of malignant progression. ''BMC Oral Health''. 2023 Apr 6; '''23''' (1):206
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study. Description: Afrash, Mohammad Reza, et al. Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study. ''BMC Med Inform Decis Mak''. 2023 Apr 6; '''23''' (1):54
Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors. Description: Villanueva, Edwin, et al. Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors. ''Sensors (Basel)''. 2023 Apr 6; '''23''' (7):
The effect of weight loss following 18 months of lifestyle intervention on brain age assessed with resting-state functional connectivity. Description: Levakov, Gidon, et al. The effect of weight loss following 18 months of lifestyle intervention on brain age assessed with resting-state functional connectivity. ''Elife''. 2023 Apr 6; '''12''':
A Dynamic Trust-Related Attack Detection Model for IoT Devices and Services Based on the Deep Long Short-Term Memory Technique. Description: Alghofaili, Yara, et al. A Dynamic Trust-Related Attack Detection Model for IoT Devices and Services Based on the Deep Long Short-Term Memory Technique. ''Sensors (Basel)''. 2023 Apr 7; '''23''' (8):
Structured memory representations develop at multiple time scales in hippocampal-cortical networks. Description: Tambini, Arielle, et al. Structured memory representations develop at multiple time scales in hippocampal-cortical networks. ''bioRxiv''. 2023 Apr 7;
Cortical activity emerges in region-specific patterns during early brain development. Description: Su Rez, Rodrigo, et al. Cortical activity emerges in region-specific patterns during early brain development. ''bioRxiv''. 2023 Apr 8;
Targeted MRM Quantification of Urinary Proteins in Chronic Kidney Disease Caused by Glomerulopathies. Description: Kononikhin, Alexey S, et al. Targeted MRM Quantification of Urinary Proteins in Chronic Kidney Disease Caused by Glomerulopathies. ''Molecules''. 2023 Apr 9; '''28''' (8):
Automated quantitative trait locus analysis (AutoQTL). Description: Freda, Philip J, et al. Automated quantitative trait locus analysis (AutoQTL). ''BioData Min''. 2023 Apr 10; '''16''' (1):14
Ethnic Differences in Response to COVID-19: A Study of American-Asian and Non-Asian College Students. Description: Zhao, Yijun, et al. Ethnic Differences in Response to COVID-19: A Study of American-Asian and Non-Asian College Students. ''Behav Sci (Basel)''. 2023 Apr 10; '''13''' (4):
Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging. Description: Yeo, Melissa, et al. Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging. ''Eur Radiol Exp''. 2023 Apr 10; '''7''' (1):17
Microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome-species-function relationship. Description: Yang, Pengshuo, et al. Microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome-species-function relationship. ''Commun Biol''. 2023 Apr 10; '''6''' (1):391
Modeling the Orthosteric Binding Site of the G Protein-Coupled Odorant Receptor OR5K1. Description: Nicoli, Alessandro, et al. Modeling the Orthosteric Binding Site of the G Protein-Coupled Odorant Receptor OR5K1. ''J Chem Inf Model''. 2023 Apr 10; '''63''' (7):2014-2029
Screening for Major Depressive Disorder Using a Wearable Ultra-Short-Term HRV Monitor and Signal Quality Indices. Description: Sato, Shohei, et al. Screening for Major Depressive Disorder Using a Wearable Ultra-Short-Term HRV Monitor and Signal Quality Indices. ''Sensors (Basel)''. 2023 Apr 10; '''23''' (8):
High-resolution structures with bound Mn(2+) and Cd(2+) map the metal import pathway in an Nramp transporter. Description: Ray, Shamayeeta, et al. High-resolution structures with bound Mn(2+) and Cd(2+) map the metal import pathway in an Nramp transporter. ''Elife''. 2023 Apr 11; '''12''':
Identifying responders to elamipretide in Barth syndrome: Hierarchical clustering for time series data. Description: Van den Eynde, Jef, et al. Identifying responders to elamipretide in Barth syndrome: Hierarchical clustering for time series data. ''Orphanet J Rare Dis''. 2023 Apr 11; '''18''' (1):76
Prediction of Fishman's skeletal maturity indicators using artificial intelligence. Description: Kim, Harim, et al. Prediction of Fishman's skeletal maturity indicators using artificial intelligence. ''Sci Rep''. 2023 Apr 11; '''13''' (1):5870
Prediction of Weight Loss to Decrease the Risk for Type 2 Diabetes Using Multidimensional Data in Filipino Americans: Secondary Analysis. Description: Chang, Lisa, et al. Prediction of Weight Loss to Decrease the Risk for Type 2 Diabetes Using Multidimensional Data in Filipino Americans: Secondary Analysis. ''JMIR Diabetes''. 2023 Apr 11; '''8''': e44018
PUREE: accurate pan-cancer tumor purity estimation from gene expression data. Description: Revkov, Egor, et al. PUREE: accurate pan-cancer tumor purity estimation from gene expression data. ''Commun Biol''. 2023 Apr 11; '''6''' (1):394
An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship. Description: Son, Jaemin, et al. An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship. ''Sci Rep''. 2023 Apr 12; '''13''' (1):5934
A QSAR Study for Antileishmanial 2-Phenyl-2,3-dihydrobenzofurans (dagger). Description: Bernal, Freddy A, et al. A QSAR Study for Antileishmanial 2-Phenyl-2,3-dihydrobenzofurans (dagger). ''Molecules''. 2023 Apr 12; '''28''' (8):
Automatic extraction of ranked SNP-phenotype associations from text using a BERT-LSTM-based method. Description: Bokharaeian, Behrouz, et al. Automatic extraction of ranked SNP-phenotype associations from text using a BERT-LSTM-based method. ''BMC Bioinformatics''. 2023 Apr 12; '''24''' (1):144
Discovery and systematic assessment of early biomarkers that predict progression to severe COVID-19 disease. Description: Hufnagel, Katrin, et al. Discovery and systematic assessment of early biomarkers that predict progression to severe COVID-19 disease. ''Commun Med (Lond)''. 2023 Apr 12; '''3''' (1):51
Rapid geographical source attribution of Salmonella enterica serovar Enteritidis genomes using hierarchical machine learning. Description: Bayliss, Sion C, et al. Rapid geographical source attribution of Salmonella enterica serovar Enteritidis genomes using hierarchical machine learning. ''Elife''. 2023 Apr 12; '''12''':
Development and validation of a deep learning survival model for cervical adenocarcinoma patients. Description: Li, Ruowen, et al. Development and validation of a deep learning survival model for cervical adenocarcinoma patients. ''BMC Bioinformatics''. 2023 Apr 13; '''24''' (1):146
Neural network based integration of assays to assess pathogenic potential. Description: Eslami, Mohammed, et al. Neural network based integration of assays to assess pathogenic potential. ''Sci Rep''. 2023 Apr 13; '''13''' (1):6021
Nutritional Description of Organic and Conventional Food Products in Spain: The BADALI Project. Description: Ropero, Ana B, et al. Nutritional Description of Organic and Conventional Food Products in Spain: The BADALI Project. ''Nutrients''. 2023 Apr 13; '''15''' (8):
Parameter inference for enzyme and temperature constrained genome-scale models. Description: Pettersen, Jakob Peder, et al. Parameter inference for enzyme and temperature constrained genome-scale models. ''Sci Rep''. 2023 Apr 13; '''13''' (1):6079
A machine learning approach to predict self-protecting behaviors during the early wave of the COVID-19 pandemic. Description: Taye, Alemayehu D, et al. A machine learning approach to predict self-protecting behaviors during the early wave of the COVID-19 pandemic. ''Sci Rep''. 2023 Apr 14; '''13''' (1):6121
An Investigation on the Possible Application Areas of Low-Cost PM Sensors for Air Quality Monitoring. Description: Suriano, Domenico, et al. An Investigation on the Possible Application Areas of Low-Cost PM Sensors for Air Quality Monitoring. ''Sensors (Basel)''. 2023 Apr 14; '''23''' (8):
The stability of transient relationships. Description: Hidd, Valentin Vergara, et al. The stability of transient relationships. ''Sci Rep''. 2023 Apr 14; '''13''' (1):6120
An artificial intelligence-based model for prediction of atrial fibrillation from single-lead sinus rhythm electrocardiograms facilitating screening. Description: Hygrell, Tove, et al. An artificial intelligence-based model for prediction of atrial fibrillation from single-lead sinus rhythm electrocardiograms facilitating screening. ''Europace''. 2023 Apr 15; '''25''' (4):1332-1338
A multi-modal machine learning approach to detect extreme rainfall events in Sicily. Description: Vitanza, Eleonora, et al. A multi-modal machine learning approach to detect extreme rainfall events in Sicily. ''Sci Rep''. 2023 Apr 16; '''13''' (1):6196
Comparison of learning models to predict LDPE, PET, and ABS concentrations in beach sediment based on spectral reflectance. Description: Huda, Faisal Raiyan, et al. Comparison of learning models to predict LDPE, PET, and ABS concentrations in beach sediment based on spectral reflectance. ''Sci Rep''. 2023 Apr 17; '''13''' (1):6258
Early infant prefrontal gray matter volume is associated with concurrent and future infant emotionality. Description: Zhang, Yicheng, et al. Early infant prefrontal gray matter volume is associated with concurrent and future infant emotionality. ''Transl Psychiatry''. 2023 Apr 17; '''13''' (1):125
Leveraging Knowledge Graphs and Natural Language Processing for Automated Web Resource Labeling and Knowledge Mobilization in Neurodevelopmental Disorders: Development and Usability Study. Description: Costello, Jeremy, et al. Leveraging Knowledge Graphs and Natural Language Processing for Automated Web Resource Labeling and Knowledge Mobilization in Neurodevelopmental Disorders: Development and Usability Study. ''J Med Internet Res''. 2023 Apr 17; '''25''': e45268
Predicting the need for intubation within 3 h in the neonatal intensive care unit using a multimodal deep neural network. Description: Im, Jueng-Eun, et al. Predicting the need for intubation within 3 h in the neonatal intensive care unit using a multimodal deep neural network. ''Sci Rep''. 2023 Apr 17; '''13''' (1):6213
The impact of preexisting psychiatric disorders and antidepressant use on COVID-19 related outcomes: a multicenter study. Description: Schultebraucks, Katharina, et al. The impact of preexisting psychiatric disorders and antidepressant use on COVID-19 related outcomes: a multicenter study. ''Mol Psychiatry''. 2023 Apr 17; 1-7
Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness. Description: Rodrigues, Ana, et al. Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness. ''Sci Rep''. 2023 Apr 17; '''13''' (1):6206
Effects of fine grinding on mid-infrared spectroscopic analysis of plant leaf nutrient content. Description: Whatley, Caleb R, et al. Effects of fine grinding on mid-infrared spectroscopic analysis of plant leaf nutrient content. ''Sci Rep''. 2023 Apr 18; '''13''' (1):6314
Four-Dimensional Printed Construct from Temperature-Responsive Self-Folding Feedstock for Pharmaceutical Applications with Machine Learning Modeling. Description: Suryavanshi, Purushottam, et al. Four-Dimensional Printed Construct from Temperature-Responsive Self-Folding Feedstock for Pharmaceutical Applications with Machine Learning Modeling. ''Pharmaceutics''. 2023 Apr 18; '''15''' (4):
Machine learning prediction of mortality in Acute Myocardial Infarction. Description: Oliveira, Mariana, et al. Machine learning prediction of mortality in Acute Myocardial Infarction. ''BMC Med Inform Decis Mak''. 2023 Apr 18; '''23''' (1):70
The secondary bile acid isoursodeoxycholate correlates with post-prandial lipemia, inflammation, and appetite and changes post-bariatric surgery. Description: The secondary bile acid isoursodeoxycholate correlates with post-prandial lipemia, inflammation, and appetite and changes post-bariatric surgery. ''''. 2023 Apr 18; '''4''' (4):100993
Functional cell types in the mouse superior colliculus. Description: Li, Ya-Tang, et al. Functional cell types in the mouse superior colliculus. ''Elife''. 2023 Apr 19; '''12''':
Optimization of the SAG Grinding Process Using Statistical Analysis and Machine Learning: A Case Study of the Chilean Copper Mining Industry. Description: Saldana, Manuel, et al. Optimization of the SAG Grinding Process Using Statistical Analysis and Machine Learning: A Case Study of the Chilean Copper Mining Industry. ''Materials (Basel)''. 2023 Apr 19; '''16''' (8):
Predicting Adolescent Mental Health Outcomes Across Cultures: A Machine Learning Approach. Description: Rothenberg, W Andrew, et al. Predicting Adolescent Mental Health Outcomes Across Cultures: A Machine Learning Approach. ''J Youth Adolesc''. 2023 Apr 19; 1-25
Turning up the heat mimics allosteric signaling in imidazole-glycerol phosphate synthase. Description: Maschietto, Federica, et al. Turning up the heat mimics allosteric signaling in imidazole-glycerol phosphate synthase. ''Nat Commun''. 2023 Apr 19; '''14''' (1):2239
*CARDShark: automated prioritization of literature curation for the Comprehensive Antibiotic Resistance Database.** Description: Edalatmand, Arman, et al. CARD*Shark: automated prioritization of literature curation for the Comprehensive Antibiotic Resistance Database. ''Database (Oxford)''. 2023 Apr 20; '''2023''':
CRAFTED: An exploratory database of simulated adsorption isotherms of metal-organic frameworks. Description: Oliveira, Felipe Lopes, et al. CRAFTED: An exploratory database of simulated adsorption isotherms of metal-organic frameworks. ''Sci Data''. 2023 Apr 20; '''10''' (1):230
Dynamics and variability of transcriptomic dysregulation in congenital myotonic dystrophy during pediatric development. Description: Hale, Melissa A, et al. Dynamics and variability of transcriptomic dysregulation in congenital myotonic dystrophy during pediatric development. ''Hum Mol Genet''. 2023 Apr 20; '''32''' (9):1413-1428
Interstitial lung disease diagnosis and prognosis using an AI system integrating longitudinal data. Description: Mei, Xueyan, et al. Interstitial lung disease diagnosis and prognosis using an AI system integrating longitudinal data. ''Nat Commun''. 2023 Apr 20; '''14''' (1):2272
Effect of distance measures on confidences of t-SNE embeddings and its implications on clustering for scRNA-seq data. Description: Ozgode Yigin, Busra, et al. Effect of distance measures on confidences of t-SNE embeddings and its implications on clustering for scRNA-seq data. ''Sci Rep''. 2023 Apr 21; '''13''' (1):6567
Evaluation of Stem Rust Disease in Wheat Fields by Drone Hyperspectral Imaging. Description: Abdulridha, Jaafar, et al. Evaluation of Stem Rust Disease in Wheat Fields by Drone Hyperspectral Imaging. ''Sensors (Basel)''. 2023 Apr 21; '''23''' (8):
Activity Map and Transition Pathways of G Protein-Coupled Receptor Revealed by Machine Learning. Description: Mollaei, Parisa, et al. Activity Map and Transition Pathways of G Protein-Coupled Receptor Revealed by Machine Learning. ''J Chem Inf Model''. 2023 Apr 24; '''63''' (8):2296-2304
m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation. Description: Ao, Chunyan, et al. m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation. ''BMC Biol''. 2023 Apr 24; '''21''' (1):93
Machine learning and drug discovery for neglected tropical diseases. Description: Breslin, William, et al. Machine learning and drug discovery for neglected tropical diseases. ''BMC Bioinformatics''. 2023 Apr 24; '''24''' (1):165
Predicting new crescent moon visibility applying machine learning algorithms. Description: Al-Rajab, Murad, et al. Predicting new crescent moon visibility applying machine learning algorithms. ''Sci Rep''. 2023 Apr 24; '''13''' (1):6674
Data-Driven Quantitative Structure-Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral Exposure. Description: Chung, Elena, et al. Data-Driven Quantitative Structure-Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral Exposure. ''Environ Sci Technol''. 2023 Apr 25; '''57''' (16):6573-6588
Epistasis between mutator alleles contributes to germline mutation rate variability in laboratory mice. Description: Sasani, Thomas A, et al. Epistasis between mutator alleles contributes to germline mutation rate variability in laboratory mice. ''bioRxiv''. 2023 Apr 25;
Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning. Description: Infanti, Alexandre, et al. Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning. ''JMIR Form Res''. 2023 Apr 25; '''7''': e42206
Accurate detection of early-stage lung cancer using a panel of circulating cell-free DNA methylation biomarkers. Description: Hu, Shuo, et al. Accurate detection of early-stage lung cancer using a panel of circulating cell-free DNA methylation biomarkers. ''Biomark Res''. 2023 Apr 26; '''11''' (1):45
Detecting localised prostate cancer using radiomic features in PSMA PET and multiparametric MRI for biologically targeted radiation therapy. Description: Chan, Tsz Him, et al. Detecting localised prostate cancer using radiomic features in PSMA PET and multiparametric MRI for biologically targeted radiation therapy. ''EJNMMI Res''. 2023 Apr 26; '''13''' (1):34
Large-scale phage-based screening reveals extensive pan-viral mimicry of host short linear motifs. Description: Mihalic, Filip, et al. Large-scale phage-based screening reveals extensive pan-viral mimicry of host short linear motifs. ''Nat Commun''. 2023 Apr 26; '''14''' (1):2409
Obstructive Sleep Apnea, Metabolic Dysfunction, and Periodontitis-Machine Learning and Statistical Analyses of the Dental, Oral, Medical Epidemiological (DOME) Big Data Study. Description: Ytzhaik, Noya, et al. Obstructive Sleep Apnea, Metabolic Dysfunction, and Periodontitis-Machine Learning and Statistical Analyses of the Dental, Oral, Medical Epidemiological (DOME) Big Data Study. ''Metabolites''. 2023 Apr 26; '''13''' (5):
UNADON: Transformer-based model to predict genome-wide chromosome spatial position. Description: Yang, Muyu, et al. UNADON: Transformer-based model to predict genome-wide chromosome spatial position. ''ArXiv''. 2023 Apr 26;
An Emerging Screening Method for Interrogating Human Brain Function: Tutorial. Description: Sudre, Gustavo, et al. An Emerging Screening Method for Interrogating Human Brain Function: Tutorial. ''JMIR Form Res''. 2023 Apr 27; '''7''': e37269
A systematically biosynthetic investigation of lactic acid bacteria reveals diverse antagonistic bacteriocins that potentially shape the human microbiome. Description: Zhang, Dengwei, et al. A systematically biosynthetic investigation of lactic acid bacteria reveals diverse antagonistic bacteriocins that potentially shape the human microbiome. ''Microbiome''. 2023 Apr 27; '''11''' (1):91
Interactions between Culturable Bacteria Are Predicted by Individual Species' Growth. Description: Nestor, Einat, et al. Interactions between Culturable Bacteria Are Predicted by Individual Species' Growth. ''mSystems''. 2023 Apr 27; '''8''' (2):e0083622
An interactive murine single-cell atlas of the lung responses to radiation injury. Description: Curras-Alonso, Sandra, et al. An interactive murine single-cell atlas of the lung responses to radiation injury. ''Nat Commun''. 2023 Apr 28; '''14''' (1):2445
Condensation of LINE-1 is critical for retrotransposition. Description: Sil, Srinjoy, et al. Condensation of LINE-1 is critical for retrotransposition. ''Elife''. 2023 Apr 28; '''12''':
Cross-modal autoencoder framework learns holistic representations of cardiovascular state. Description: Radhakrishnan, Adityanarayanan, et al. Cross-modal autoencoder framework learns holistic representations of cardiovascular state. ''Nat Commun''. 2023 Apr 28; '''14''' (1):2436
Deep learning forecast of rainfall-induced shallow landslides. Description: Mondini, Alessandro C, et al. Deep learning forecast of rainfall-induced shallow landslides. ''Nat Commun''. 2023 Apr 28; '''14''' (1):2466
Machine Learning Identifies Plasma Proteomic Signatures of Descending Thoracic Aortic Disease. Description: Momenzadeh, Amanda, et al. Machine Learning Identifies Plasma Proteomic Signatures of Descending Thoracic Aortic Disease. ''bioRxiv''. 2023 Apr 28;
The contribution of historical processes to contemporary extinction risk in placental mammals. Description: Wilder, Aryn P, et al. The contribution of historical processes to contemporary extinction risk in placental mammals. ''Science''. 2023 Apr 28; '''380''' (6643):eabn5856
Epigenetic reactivation of tumor suppressor genes with CRISPRa technologies as precision therapy for hepatocellular carcinoma. Description: Sgro, Agustin, et al. Epigenetic reactivation of tumor suppressor genes with CRISPRa technologies as precision therapy for hepatocellular carcinoma. ''Clin Epigenetics''. 2023 Apr 29; '''15''' (1):73
Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features. Description: Albadawi, Yaman, et al. Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features. ''J Imaging''. 2023 Apr 29; '''9''' (5):
Reconstruction of the cell pseudo-space from single-cell RNA sequencing data with scSpace. Description: Qian, Jingyang, et al. Reconstruction of the cell pseudo-space from single-cell RNA sequencing data with scSpace. ''Nat Commun''. 2023 Apr 29; '''14''' (1):2484
TISSUE: uncertainty-calibrated prediction of single-cell spatial transcriptomics improves downstream analyses. Description: Sun, Eric D, et al. TISSUE: uncertainty-calibrated prediction of single-cell spatial transcriptomics improves downstream analyses. ''bioRxiv''. 2023 Apr 29;
An origami-based technique for simple, effective and inexpensive fabrication of highly aligned far-field electrospun fibers. Description: Hosseinian, Hamed, et al. An origami-based technique for simple, effective and inexpensive fabrication of highly aligned far-field electrospun fibers. ''Sci Rep''. 2023 May 1; '''13''' (1):7083
Artificial Intelligence-Based Quantitative Structure-Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity. Description: Czub, Natalia, et al. Artificial Intelligence-Based Quantitative Structure-Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity. ''Mol Pharm''. 2023 May 1; '''20''' (5):2545-2555
A social niche breadth score reveals niche range strategies of generalists and specialists. Description: von Meijenfeldt, F A Bastiaan, et al. A social niche breadth score reveals niche range strategies of generalists and specialists. ''Nat Ecol Evol''. 2023 May; '''7''' (5):768-781
bpRNA-align: improved RNA secondary structure global alignment for comparing and clustering RNA structures. Description: Lasher, Brittany, et al. bpRNA-align: improved RNA secondary structure global alignment for comparing and clustering RNA structures. ''RNA''. 2023 May; '''29''' (5):584-595
Data-driven segmentation of cortical calcium dynamics. Description: Weiser, Sydney C, et al. Data-driven segmentation of cortical calcium dynamics. ''PLoS Comput Biol''. 2023 May; '''19''' (5):e1011085
Development and Validation of a Joint Attention-Based Deep Learning System for Detection and Symptom Severity Assessment of Autism Spectrum Disorder. Description: Ko, Chanyoung, et al. Development and Validation of a Joint Attention-Based Deep Learning System for Detection and Symptom Severity Assessment of Autism Spectrum Disorder. ''JAMA Netw Open''. 2023 May 1; '''6''' (5):e2315174
Development and Validation of a Radiomics Model Based on 3-Dimensional Endoanal Rectal Ultrasound of Rectal Cancer for Predicting Lymph Node Metastasis. Description: Li, Jin, et al. Development and Validation of a Radiomics Model Based on 3-Dimensional Endoanal Rectal Ultrasound of Rectal Cancer for Predicting Lymph Node Metastasis. ''Turk J Gastroenterol''. 2023 May; '''34''' (5):542-551
Identifying prognostic subgroups of luminal-A breast cancer using deep autoencoders and gene expressions. Description: Wang, Seunghyun, et al. Identifying prognostic subgroups of luminal-A breast cancer using deep autoencoders and gene expressions. ''PLoS Comput Biol''. 2023 May; '''19''' (5):e1011197
Image-based features in machine learning to identify delivery errors and predict error magnitude for patient-specific IMRT quality assurance. Description: Huang, Ying, et al. Image-based features in machine learning to identify delivery errors and predict error magnitude for patient-specific IMRT quality assurance. ''Strahlenther Onkol''. 2023 May; '''199''' (5):498-510
Impact of Criterion Versus Norm-Referenced Assessment on the Quality of Life in Korean Medical Students. Description: Park, Ce Hwan, et al. Impact of Criterion Versus Norm-Referenced Assessment on the Quality of Life in Korean Medical Students. ''J Korean Med Sci''. 2023 May 1; '''38''' (17):e133
Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery. Description: Mohsen, Ahmed, et al. Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery. ''Environ Sci Pollut Res Int''. 2023 May; '''30''' (25):67742-67757
Machine learning for optimized individual survival prediction in resectable upper gastrointestinal cancer. Description: Jung, Jin-On, et al. Machine learning for optimized individual survival prediction in resectable upper gastrointestinal cancer. ''J Cancer Res Clin Oncol''. 2023 May; '''149''' (5):1691-1702
Multiclass datasets expand neural network utility: an example on ankle radiographs. Description: Kim, Suam, et al. Multiclass datasets expand neural network utility: an example on ankle radiographs. ''Int J Comput Assist Radiol Surg''. 2023 May; '''18''' (5):819-826
Predicting Adolescent Intervention Non-responsiveness for Precision HIV Prevention Using Machine Learning. Description: Wang, Bo, et al. Predicting Adolescent Intervention Non-responsiveness for Precision HIV Prevention Using Machine Learning. ''AIDS Behav''. 2023 May; '''27''' (5):1392-1402
Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression. Description: De Meyer, Sam, et al. Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression. ''PLoS Comput Biol''. 2023 May; '''19''' (5):e1011161
Preference of CAMSAP3 for expanded microtubule lattice contributes to stabilization of the minus end. Description: Liu, Hanjin, et al. Preference of CAMSAP3 for expanded microtubule lattice contributes to stabilization of the minus end. ''Life Sci Alliance''. 2023 May; '''6''' (5):
Quantitative Structural Description of Zeolites by Machine Learning Analysis of Infrared Spectra. Description: Skorynina, Alina A, et al. Quantitative Structural Description of Zeolites by Machine Learning Analysis of Infrared Spectra. ''Inorg Chem''. 2023 May 1; '''62''' (17):6608-6616
The feasibility of early detecting coronary artery disease using deep learning-based algorithm based on electrocardiography. Description: Tang, Panli, et al. The feasibility of early detecting coronary artery disease using deep learning-based algorithm based on electrocardiography. ''Aging (Albany NY)''. 2023 May 1; '''15''' (9):3524-3537
Bordetella bronchiseptica diguanylate cyclase BdcB inhibits the type three secretion system and impacts the immune response. Description: Belhart, Keila, et al. Bordetella bronchiseptica diguanylate cyclase BdcB inhibits the type three secretion system and impacts the immune response. ''Sci Rep''. 2023 May 2; '''13''' (1):7157
Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model. Description: Sikora, Andrea, et al. Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model. ''Crit Care''. 2023 May 2; '''27''' (1):167
Multi-Terminal Nonwoven Stochastic Memristive Devices Based on Polyamide-6 and Polyaniline for Neuromorphic Computing. Description: Prudnikov, Nikita, et al. Multi-Terminal Nonwoven Stochastic Memristive Devices Based on Polyamide-6 and Polyaniline for Neuromorphic Computing. ''Biomimetics (Basel)''. 2023 May 3; '''8''' (2):
Myeloid-Derived Suppressor-Cell Dynamics Control Outcomes in the Metastatic Niche. Description: Kreger, Jesse, et al. Myeloid-Derived Suppressor-Cell Dynamics Control Outcomes in the Metastatic Niche. ''Cancer Immunol Res''. 2023 May 3; '''11''' (5):614-628
Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking. Description: Wu, Zhenxing, et al. Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking. ''Nat Commun''. 2023 May 4; '''14''' (1):2585
Design of electromagnetic metasurface using two dimensional crystal nets. Description: Hou, Jie, et al. Design of electromagnetic metasurface using two dimensional crystal nets. ''Sci Rep''. 2023 May 4; '''13''' (1):7248
epiTCR: a highly sensitive predictor for TCR-peptide binding. Description: Pham, My-Diem Nguyen, et al. epiTCR: a highly sensitive predictor for TCR-peptide binding. ''Bioinformatics''. 2023 May 4; '''39''' (5):
Principles for coding associative memories in a compact neural network. Description: Pritz, Christian, et al. Principles for coding associative memories in a compact neural network. ''Elife''. 2023 May 4; '''12''':
Raman spectroscopy and topological machine learning for cancer grading. Description: Conti, Francesco, et al. Raman spectroscopy and topological machine learning for cancer grading. ''Sci Rep''. 2023 May 4; '''13''' (1):7282
OWSum: algorithmic odor prediction and insight into structure-odor relationships. Description: Schicker, Doris, et al. OWSum: algorithmic odor prediction and insight into structure-odor relationships. ''J Cheminform''. 2023 May 7; '''15''' (1):51
Classification of age groups and task conditions provides additional evidence for differences in electrophysiological correlates of inhibitory control across the lifespan. Description: Goelz, Christian, et al. Classification of age groups and task conditions provides additional evidence for differences in electrophysiological correlates of inhibitory control across the lifespan. ''Brain Inform''. 2023 May 8; '''10''' (1):11
Evolutionary mechanisms underlying the diversification of nuclear factor of activated T cells across vertebrates. Description: Gamboa, Maribet, et al. Evolutionary mechanisms underlying the diversification of nuclear factor of activated T cells across vertebrates. ''Sci Rep''. 2023 May 8; '''13''' (1):6468
Machine learning-based causal models for predicting the response of individual patients to dexamethasone treatment as prophylactic antiemetic. Description: Mizuguchi, Taisuke, et al. Machine learning-based causal models for predicting the response of individual patients to dexamethasone treatment as prophylactic antiemetic. ''Sci Rep''. 2023 May 9; '''13''' (1):7549
Machine Learning Modeling of Aedes albopictus Habitat Suitability in the 21st Century. Description: Georgiades, Pantelis, et al. Machine Learning Modeling of Aedes albopictus Habitat Suitability in the 21st Century. ''Insects''. 2023 May 9; '''14''' (5):
Signal recovery in single cell batch integration. Description: Zhang, Zhaojun, et al. Signal recovery in single cell batch integration. ''bioRxiv''. 2023 May 9;
Enhlink infers distal and context-specific enhancer-promoter linkages. Description: Poirion, Olivier B, et al. Enhlink infers distal and context-specific enhancer-promoter linkages. ''bioRxiv''. 2023 May 11;
Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity. Description: Huang, Yuhao, et al. Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity. ''Nat Commun''. 2023 May 11; '''14''' (1):2729
Brain proteomic analysis implicates actin filament processes and injury response in resilience to Alzheimer's disease. Description: Huang, Zhi, et al. Brain proteomic analysis implicates actin filament processes and injury response in resilience to Alzheimer's disease. ''Nat Commun''. 2023 May 12; '''14''' (1):2747
Prediction of mammalian tissue-specific CLOCK-BMAL1 binding to E-box DNA motifs. Description: Marri, Daniel, et al. Prediction of mammalian tissue-specific CLOCK-BMAL1 binding to E-box DNA motifs. ''Sci Rep''. 2023 May 12; '''13''' (1):7742
Reliability of E-Tests and the Phoenix Automated Method in Assessing Susceptibility to IV Fosfomycin-Comparative Studies Relative to the Reference Method. Description: Kowalska-Krochmal, Beata, et al. Reliability of E-Tests and the Phoenix Automated Method in Assessing Susceptibility to IV Fosfomycin-Comparative Studies Relative to the Reference Method. ''Pathogens''. 2023 May 12; '''12''' (5):
Importance analysis of psychosociological variables in frailty syndrome in heart failure patients using machine learning approach. Description: Pasieczna, Aleksandra Helena, et al. Importance analysis of psychosociological variables in frailty syndrome in heart failure patients using machine learning approach. ''Sci Rep''. 2023 May 13; '''13''' (1):7782
DNA methylation markers for kidney function and progression of diabetic kidney disease. Description: Li, Kelly Yichen, et al. DNA methylation markers for kidney function and progression of diabetic kidney disease. ''Nat Commun''. 2023 May 15; '''14''' (1):2543
Exogenous Chemicals Impact Virus Receptor Gene Transcription: Insights from Deep Learning. Description: Liu, Xian, et al. Exogenous Chemicals Impact Virus Receptor Gene Transcription: Insights from Deep Learning. ''Environ Sci Technol''. 2023 May 15;
Fine-mapping of retinal vascular complexity loci identifies Notch regulation as a shared mechanism with myocardial infarction outcomes. Description: Villaplana-Velasco, Ana, et al. Fine-mapping of retinal vascular complexity loci identifies Notch regulation as a shared mechanism with myocardial infarction outcomes. ''Commun Biol''. 2023 May 15; '''6''' (1):523
Machine learning-guided discovery of ionic polymer electrolytes for lithium metal batteries. Description: Li, Kai, et al. Machine learning-guided discovery of ionic polymer electrolytes for lithium metal batteries. ''Nat Commun''. 2023 May 15; '''14''' (1):2789
Understanding the relationship between cerebellar structure and social abilities. Description: Elandaloussi, Yannis, et al. Understanding the relationship between cerebellar structure and social abilities. ''Mol Autism''. 2023 May 15; '''14''' (1):18
CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides. Description: Ouellet, Sebastien, et al. CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides. ''BMC Bioinformatics''. 2023 May 16; '''24''' (1):200
Deep sampling of gRNA in the human genome and deep-learning-informed prediction of gRNA activities. Description: Zhang, Heng, et al. Deep sampling of gRNA in the human genome and deep-learning-informed prediction of gRNA activities. ''Cell Discov''. 2023 May 16; '''9''' (1):48
Magnesium increases numbers of Foxp3+ Treg cells and reduces arthritis severity and joint damage in an IL-10-dependent manner mediated by the intestinal microbiome. Description: Laragione, Teresina, et al. Magnesium increases numbers of Foxp3+ Treg cells and reduces arthritis severity and joint damage in an IL-10-dependent manner mediated by the intestinal microbiome. ''EBioMedicine''. 2023 May 16; '''92''': 104603
Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms. Description: Weiskittel, Taylor M, et al. Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms. ''Pharmaceuticals (Basel)''. 2023 May 16; '''16''' (5):
Development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyes. Description: Kim, Ji-Ah, et al. Development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyes. ''Sci Rep''. 2023 May 17; '''13''' (1):8040
Development of a Prediction Model for Healthy Life Years Without Activity Limitation: National Cross-sectional Study. Description: Nishi, Masahiro, et al. Development of a Prediction Model for Healthy Life Years Without Activity Limitation: National Cross-sectional Study. ''JMIR Public Health Surveill''. 2023 May 17; '''9''': e46634
ODNA: Identification of Organellar DNA by Machine Learning. Description: Martin, Roman, et al. ODNA: Identification of Organellar DNA by Machine Learning. ''Bioinformatics''. 2023 May 17; '''39''' (5):
scBrainMap: a landscape for cell types and associated genetic markers in the brain. Description: Chi, Yuhao, et al. scBrainMap: a landscape for cell types and associated genetic markers in the brain. ''Database (Oxford)''. 2023 May 17; '''2023''':
Small-sample learning reveals propionylation in determining global protein homeostasis. Description: Shui, Ke, et al. Small-sample learning reveals propionylation in determining global protein homeostasis. ''Nat Commun''. 2023 May 17; '''14''' (1):2813
A biomarker discovery of acute myocardial infarction using feature selection and machine learning. Description: Mohd Faizal, Aizatul Shafiqah, et al. A biomarker discovery of acute myocardial infarction using feature selection and machine learning. ''Med Biol Eng Comput''. 2023 May 18; 1-15
Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks. Description: Hejduk, Patryk, et al. Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks. ''Insights Imaging''. 2023 May 18; '''14''' (1):90
Role of Nox4 in Mitigating Inflammation and Fibrosis in Dextran Sulfate Sodium-Induced Colitis. Description: Lee, Yura, et al. Role of Nox4 in Mitigating Inflammation and Fibrosis in Dextran Sulfate Sodium-Induced Colitis. ''Cell Mol Gastroenterol Hepatol''. 2023 May 18; '''16''' (3):411-429
The cellular and immunological dynamics of early and transitional human milk. Description: LeMaster, Cas, et al. The cellular and immunological dynamics of early and transitional human milk. ''Commun Biol''. 2023 May 18; '''6''' (1):539
67 million natural product-like compound database generated via molecular language processing. Description: Tay, Dillon W P, et al. 67 million natural product-like compound database generated via molecular language processing. ''Sci Data''. 2023 May 19; '''10''' (1):296
Analysis of the Effects of Known Sleep-Support Supplements in Relation to Life Habits, Sleep Conditions, and Sleep Problems. Description: Imafuku, Fuminori, et al. Analysis of the Effects of Known Sleep-Support Supplements in Relation to Life Habits, Sleep Conditions, and Sleep Problems. ''Nutrients''. 2023 May 19; '''15''' (10):
Application and utility of boosting machine learning model based on laboratory test in the differential diagnosis of non-COVID-19 pneumonia and COVID-19. Description: Baik, Seung Min, et al. Application and utility of boosting machine learning model based on laboratory test in the differential diagnosis of non-COVID-19 pneumonia and COVID-19. ''Clin Biochem''. 2023 May 19; '''118''': 110584
Application of Machine Learning Techniques to Discern Optimal Rearing Conditions for Improved Black Soldier Fly Farming. Description: Muinde, John, et al. Application of Machine Learning Techniques to Discern Optimal Rearing Conditions for Improved Black Soldier Fly Farming. ''Insects''. 2023 May 19; '''14''' (5):
ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species. Description: Chen, Ruyi, et al. ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species. ''Brief Bioinform''. 2023 May 19; '''24''' (3):
DePolymerase Predictor (DePP): a machine learning tool for the targeted identification of phage depolymerases. Description: Magill, Damian J, et al. DePolymerase Predictor (DePP): a machine learning tool for the targeted identification of phage depolymerases. ''BMC Bioinformatics''. 2023 May 19; '''24''' (1):208
In-Depth Serum Proteomics Reveals the Trajectory of Hallmarks of Cancer in Hepatitis B Virus-Related Liver Diseases. Description: Xu, Meng, et al. In-Depth Serum Proteomics Reveals the Trajectory of Hallmarks of Cancer in Hepatitis B Virus-Related Liver Diseases. ''Mol Cell Proteomics''. 2023 May 19; '''22''' (7):100574
Measuring cognitively demanding activities in pediatric out-of-hospital cardiac arrest. Description: Bahr, Nathan, et al. Measuring cognitively demanding activities in pediatric out-of-hospital cardiac arrest. ''Adv Simul (Lond)''. 2023 May 19; '''8''' (1):15
Predicting gene level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework. Description: Cheemalavagu, Neha, et al. Predicting gene level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework. ''bioRxiv''. 2023 May 20;
CT based intratumor and peritumoral radiomics for differentiating complete from incomplete capsular characteristics of parotid pleomorphic adenoma: a two-center study. Description: Li, Shuang, et al. CT based intratumor and peritumoral radiomics for differentiating complete from incomplete capsular characteristics of parotid pleomorphic adenoma: a two-center study. ''Discov Oncol''. 2023 May 22; '''14''' (1):76
Stem cells tightly regulate dead cell clearance to maintain tissue fitness. Description: Stewart, Katherine S, et al. Stem cells tightly regulate dead cell clearance to maintain tissue fitness. ''bioRxiv''. 2023 May 22;
Subcellular spatially resolved gene neighborhood networks in single cells. Description: Fang, Zhou, et al. Subcellular spatially resolved gene neighborhood networks in single cells. ''Cell Rep Methods''. 2023 May 22; '''3''' (5):100476
Using remotely monitored patient activity patterns after hospital discharge to predict 30 day hospital readmission: a randomized trial. Description: Patel, Mitesh S, et al. Using remotely monitored patient activity patterns after hospital discharge to predict 30 day hospital readmission: a randomized trial. ''Sci Rep''. 2023 May 22; '''13''' (1):8258
Exploring the Impact of Time Spent Reading Product Information on E-Commerce Websites: A Machine Learning Approach to Analyze Consumer Behavior. Description: Necula, Sabina-Cristiana. Exploring the Impact of Time Spent Reading Product Information on E-Commerce Websites: A Machine Learning Approach to Analyze Consumer Behavior. ''Behav Sci (Basel)''. 2023 May 23; '''13''' (6):
Using Radiomics-Based Machine Learning to Create Targeted Test Sets to Improve Specific Mammography Reader Cohort Performance: A Feasibility Study. Description: Tao, Xuetong, et al. Using Radiomics-Based Machine Learning to Create Targeted Test Sets to Improve Specific Mammography Reader Cohort Performance: A Feasibility Study. ''J Pers Med''. 2023 May 24; '''13''' (6):
Classification of odors associated with migraine attacks: a cross-sectional study. Description: Imai, Noboru, et al. Classification of odors associated with migraine attacks: a cross-sectional study. ''Sci Rep''. 2023 May 25; '''13''' (1):8469
MALDI MSI and Raman Spectroscopy Application in the Analysis of the Structural Components and Flavonoids in Brassica napus Stem. Description: Krysa, Mikolaj, et al. MALDI MSI and Raman Spectroscopy Application in the Analysis of the Structural Components and Flavonoids in Brassica napus Stem. ''Metabolites''. 2023 May 25; '''13''' (6):
Stratification of responses to tDCS intervention in a healthy pediatric population based on resting-state EEG profiles. Description: Dagnino, Paulina Clara, et al. Stratification of responses to tDCS intervention in a healthy pediatric population based on resting-state EEG profiles. ''Sci Rep''. 2023 May 25; '''13''' (1):8438
Machine learning based estimation of dynamic balance and gait adaptability in persons with neurological diseases using inertial sensors. Description: Liuzzi, Piergiuseppe, et al. Machine learning based estimation of dynamic balance and gait adaptability in persons with neurological diseases using inertial sensors. ''Sci Rep''. 2023 May 27; '''13''' (1):8640
Development and validation of explainable machine-learning models for carotid atherosclerosis early screening. Description: Yun, Ke, et al. Development and validation of explainable machine-learning models for carotid atherosclerosis early screening. ''J Transl Med''. 2023 May 29; '''21''' (1):353
Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study. Description: Ma, Chao, et al. Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study. ''BMC Med''. 2023 May 29; '''21''' (1):198
An Artificial Intelligence-Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study. Description: Islam, A B M Rezbaul, et al. An Artificial Intelligence-Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study. ''JMIR Form Res''. 2023 May 30; '''7''': e45434
Brain imaging and neuropsychological assessment of individuals recovered from a mild to moderate SARS-CoV-2 infection. Description: Petersen, Marvin, et al. Brain imaging and neuropsychological assessment of individuals recovered from a mild to moderate SARS-CoV-2 infection. ''Proc Natl Acad Sci U S A''. 2023 May 30; '''120''' (22):e2217232120
Human acute microelectrode array recordings with broad cortical access, single-unit resolution, and parallel behavioral monitoring. Description: Eisenkolb, Viktor M, et al. Human acute microelectrode array recordings with broad cortical access, single-unit resolution, and parallel behavioral monitoring. ''Cell Rep''. 2023 May 30; '''42''' (5):112467
Target cell-specific synaptic dynamics of excitatory to inhibitory neuron connections in supragranular layers of human neocortex. Description: Kim, Mean-Hwan, et al. Target cell-specific synaptic dynamics of excitatory to inhibitory neuron connections in supragranular layers of human neocortex. ''Elife''. 2023 May 30; '''12''':
Machine Learning Classification of Time since BNT162b2 COVID-19 Vaccination Based on Array-Measured Antibody Activity. Description: Ma, Qing-Lan, et al. Machine Learning Classification of Time since BNT162b2 COVID-19 Vaccination Based on Array-Measured Antibody Activity. ''Life (Basel)''. 2023 May 31; '''13''' (6):
Synaptic architecture of leg and wing motor control networks in Drosophila. Description: Lesser, Ellen, et al. Synaptic architecture of leg and wing motor control networks in Drosophila. ''bioRxiv''. 2023 May 31;
Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence. Description: Moneta, Nir, et al. Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence. ''Nat Commun''. 2023 May 31; '''14''' (1):3156
A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization. Description: Fanconi, Claudio, et al. A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization. ''EBioMedicine''. 2023 Jun; '''92''': 104632
Adipogenic and SWAT cells separate from a common progenitor in human brown and white adipose depots. Description: Palani, Nagendra P, et al. Adipogenic and SWAT cells separate from a common progenitor in human brown and white adipose depots. ''Nat Metab''. 2023 Jun; '''5''' (6):996-1013
An integrated cell atlas of the lung in health and disease. Description: Sikkema, Lisa, et al. An integrated cell atlas of the lung in health and disease. ''Nat Med''. 2023 Jun; '''29''' (6):1563-1577
Automated lung cancer assessment on 18F-PET/CT using Retina U-Net and anatomical region segmentation. Description: Weikert, T, et al. Automated lung cancer assessment on 18F-PET/CT using Retina U-Net and anatomical region segmentation. ''Eur Radiol''. 2023 Jun; '''33''' (6):4270-4279
Automatic Diagnosis of Spinal Disorders on Radiographic Images: Leveraging Existing Unstructured Datasets With Natural Language Processing. Description: Galbusera, Fabio, et al. Automatic Diagnosis of Spinal Disorders on Radiographic Images: Leveraging Existing Unstructured Datasets With Natural Language Processing. ''Global Spine J''. 2023 Jun; '''13''' (5):1257-1266
Biologically informed variational autoencoders allow predictive modeling of genetic and drug-induced perturbations. Description: Doncevic, Daria, et al. Biologically informed variational autoencoders allow predictive modeling of genetic and drug-induced perturbations. ''Bioinformatics''. 2023 Jun 1; '''39''' (6):
BioSeq-Diabolo: Biological sequence similarity analysis using Diabolo. Description: Li, Hongliang, et al. BioSeq-Diabolo: Biological sequence similarity analysis using Diabolo. ''PLoS Comput Biol''. 2023 Jun; '''19''' (6):e1011214
Combination of genetically diverse Pseudomonas phages enhances the cocktail efficiency against bacteria. Description: Naknaen, Ampapan, et al. Combination of genetically diverse Pseudomonas phages enhances the cocktail efficiency against bacteria. ''Sci Rep''. 2023 Jun 1; '''13''' (1):8921
Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database. Description: Sinha, Shubhra, et al. Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database. ''Eur J Cardiothorac Surg''. 2023 Jun 1; '''63''' (6):
Convolutional neural networks on risk stratification of patients with suspected coronary artery disease undergoing coronary computed tomography angiography. Description: Adolf, Rafael, et al. Convolutional neural networks on risk stratification of patients with suspected coronary artery disease undergoing coronary computed tomography angiography. ''Int J Cardiovasc Imaging''. 2023 Jun; '''39''' (6):1209-1216
Data-driven subtyping of Parkinson's disease: comparison of current methodologies and application to the Bochum PNS cohort. Description: Chen, Qiang, et al. Data-driven subtyping of Parkinson's disease: comparison of current methodologies and application to the Bochum PNS cohort. ''J Neural Transm (Vienna)''. 2023 Jun; '''130''' (6):763-776
Development of a scoring model for the Sharp/van der Heijde score using convolutional neural networks and its clinical application. Description: Honda, Suguru, et al. Development of a scoring model for the Sharp/van der Heijde score using convolutional neural networks and its clinical application. ''Rheumatology (Oxford)''. 2023 Jun 1; '''62''' (6):2272-2283
Enhanced identification of membrane transport proteins: a hybrid approach combining ProtBERT-BFD and convolutional neural networks. Description: Ghazikhani, Hamed, et al. Enhanced identification of membrane transport proteins: a hybrid approach combining ProtBERT-BFD and convolutional neural networks. ''J Integr Bioinform''. 2023 Jun 1; '''20''' (2):
Exploring non-linear built environment effects on urban vibrancy under COVID-19: The case of Hong Kong. Description: Xiao, Longzhu, et al. Exploring non-linear built environment effects on urban vibrancy under COVID-19: The case of Hong Kong. ''Appl Geogr''. 2023 Jun; '''155''': 102960
GRAPE for fast and scalable graph processing and random-walk-based embedding. Description: Cappelletti, Luca, et al. GRAPE for fast and scalable graph processing and random-walk-based embedding. ''Nat Comput Sci''. 2023 Jun; '''3''' (6):552-568
Identification of potential diagnostic and prognostic biomarkers for papillary thyroid microcarcinoma (PTMC) based on TMT-labeled LC-MS/MS and machine learning. Description: Li, J, et al. Identification of potential diagnostic and prognostic biomarkers for papillary thyroid microcarcinoma (PTMC) based on TMT-labeled LC-MS/MS and machine learning. ''J Endocrinol Invest''. 2023 Jun; '''46''' (6):1131-1143
Identifying Gut Microbiota associated with Gastrointestinal Symptoms upon Roux-en-Y Gastric Bypass. Description: Wijdeveld, Madelief, et al. Identifying Gut Microbiota associated with Gastrointestinal Symptoms upon Roux-en-Y Gastric Bypass. ''Obes Surg''. 2023 Jun; '''33''' (6):1635-1645
Impedance-based sensors discriminate among different types of blood thrombi with very high specificity and sensitivity. Description: Messina, Pierluca, et al. Impedance-based sensors discriminate among different types of blood thrombi with very high specificity and sensitivity. ''J Neurointerv Surg''. 2023 Jun; '''15''' (6):526-530
Increasing efficiency of SVMp+ for handling missing values in healthcare prediction. Description: Zhang, Yufeng, et al. Increasing efficiency of SVMp+ for handling missing values in healthcare prediction. ''PLOS Digit Health''. 2023 Jun; '''2''' (6):e0000281
Machine Learning for Prediction of Adverse Cardiovascular Events in Adults With Repaired Tetralogy of Fallot Using Clinical and Cardiovascular Magnetic Resonance Imaging Variables. Description: Ishikita, Ayako, et al. Machine Learning for Prediction of Adverse Cardiovascular Events in Adults With Repaired Tetralogy of Fallot Using Clinical and Cardiovascular Magnetic Resonance Imaging Variables. ''Circ Cardiovasc Imaging''. 2023 Jun; '''16''' (6):e015205
MTM: a multi-task learning framework to predict individualized tissue gene expression profiles. Description: He, Guangyi, et al. MTM: a multi-task learning framework to predict individualized tissue gene expression profiles. ''Bioinformatics''. 2023 Jun 1; '''39''' (6):
Nano-DMS-MaP allows isoform-specific RNA structure determination. Description: Bohn, Patrick, et al. Nano-DMS-MaP allows isoform-specific RNA structure determination. ''Nat Methods''. 2023 Jun; '''20''' (6):849-859
Preclinical-to-clinical Anti-cancer Drug Response Prediction and Biomarker Identification Using TINDL. Description: Hostallero, David Earl, et al. Preclinical-to-clinical Anti-cancer Drug Response Prediction and Biomarker Identification Using TINDL. ''Genomics Proteomics Bioinformatics''. 2023 Jun; '''21''' (3):535-550
Predicting no-show appointments in a pediatric hospital in Chile using machine learning. Description: Dunstan, J, et al. Predicting no-show appointments in a pediatric hospital in Chile using machine learning. ''Health Care Manag Sci''. 2023 Jun; '''26''' (2):313-329
Prediction of prostate tumour hypoxia using pre-treatment MRI-derived radiomics: preliminary findings. Description: Zhong, Jim, et al. Prediction of prostate tumour hypoxia using pre-treatment MRI-derived radiomics: preliminary findings. ''Radiol Med''. 2023 Jun; '''128''' (6):765-774
Reconstruction of the personal information from human genome reads in gut metagenome sequencing data. Description: Tomofuji, Yoshihiko, et al. Reconstruction of the personal information from human genome reads in gut metagenome sequencing data. ''Nat Microbiol''. 2023 Jun; '''8''' (6):1079-1094
Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial. Description: Kann, Benjamin H, et al. Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial. ''Lancet Digit Health''. 2023 Jun; '''5''' (6):e360-e369
Single-cell Ca(2+) parameter inference reveals how transcriptional states inform dynamic cell responses. Description: Wu, Xiaojun, et al. Single-cell Ca(2+) parameter inference reveals how transcriptional states inform dynamic cell responses. ''J R Soc Interface''. 2023 Jun; '''20''' (203):20230172
Supervised learning and model analysis with compositional data. Description: Huang, Shimeng, et al. Supervised learning and model analysis with compositional data. ''PLoS Comput Biol''. 2023 Jun; '''19''' (6):e1011240
TargIDe: a machine-learning workflow for target identification of molecules with antibiofilm activity against Pseudomonas aeruginosa. Description: Carneiro, Joao, et al. TargIDe: a machine-learning workflow for target identification of molecules with antibiofilm activity against Pseudomonas aeruginosa. ''J Comput Aided Mol Des''. 2023 Jun; '''37''' (5-6):265-278
The single-cell and spatial transcriptional landscape of human gastrulation and early brain development. Description: Zeng, Bo, et al. The single-cell and spatial transcriptional landscape of human gastrulation and early brain development. ''Cell Stem Cell''. 2023 Jun 1; '''30''' (6):851-866.e7
The Zhu-Lu formula: a machine learning-based intraocular lens power calculation formula for highly myopic eyes. Description: Guo, Dongling, et al. The Zhu-Lu formula: a machine learning-based intraocular lens power calculation formula for highly myopic eyes. ''Eye Vis (Lond)''. 2023 Jun 1; '''10''' (1):26
Transformer-based structuring of free-text radiology report databases. Description: Nowak, S, et al. Transformer-based structuring of free-text radiology report databases. ''Eur Radiol''. 2023 Jun; '''33''' (6):4228-4236
Trends in Maternal Mortality and Severe Maternal Morbidity During Delivery-Related Hospitalizations in the United States, 2008 to 2021. Description: Fink, Dorothy A, et al. Trends in Maternal Mortality and Severe Maternal Morbidity During Delivery-Related Hospitalizations in the United States, 2008 to 2021. ''JAMA Netw Open''. 2023 Jun 1; '''6''' (6):e2317641
Urban resilience to socioeconomic disruptions during the COVID-19 pandemic: Evidence from China. Description: Yuan, Zhihang, et al. Urban resilience to socioeconomic disruptions during the COVID-19 pandemic: Evidence from China. ''Int J Disaster Risk Reduct''. 2023 Jun 1; '''91''': 103670
WarpSTR: determining tandem repeat lengths using raw nanopore signals. Description: Sitarcik, Jozef, et al. WarpSTR: determining tandem repeat lengths using raw nanopore signals. ''Bioinformatics''. 2023 Jun 1; '''39''' (6):
Learning structural heterogeneity from cryo-electron sub-tomograms with tomoDRGN. Description: Powell, Barrett M, et al. Learning structural heterogeneity from cryo-electron sub-tomograms with tomoDRGN. ''bioRxiv''. 2023 Jun 2;
Machine diagnosis of chronic obstructive pulmonary disease using a novel fast-response capnometer. Description: Talker, Leeran, et al. Machine diagnosis of chronic obstructive pulmonary disease using a novel fast-response capnometer. ''Respir Res''. 2023 Jun 2; '''24''' (1):150
Predicting the presence of tinnitus using ecological momentary assessments. Description: Breitmayer, Marius, et al. Predicting the presence of tinnitus using ecological momentary assessments. ''Sci Rep''. 2023 Jun 2; '''13''' (1):8989
Microbial diversity in the vaginal microbiota and its link to pregnancy outcomes. Description: Baud, Agnes, et al. Microbial diversity in the vaginal microbiota and its link to pregnancy outcomes. ''Sci Rep''. 2023 Jun 4; '''13''' (1):9061
A flexible symbolic regression method for constructing interpretable clinical prediction models. Description: La Cava, William G, et al. A flexible symbolic regression method for constructing interpretable clinical prediction models. ''NPJ Digit Med''. 2023 Jun 5; '''6''' (1):107
Direct biomolecule discrimination in mixed samples using nanogap-based single-molecule electrical measurement. Description: Ryu, Jiho, et al. Direct biomolecule discrimination in mixed samples using nanogap-based single-molecule electrical measurement. ''Sci Rep''. 2023 Jun 5; '''13''' (1):9103
Illuminating Dark Proteins using Reactome Pathways. Description: Brunson, Timothy, et al. Illuminating Dark Proteins using Reactome Pathways. ''bioRxiv''. 2023 Jun 5;
Prediction of Compound Plasma Concentration-Time Profiles in Mice Using Random Forest. Description: Handa, Koichi, et al. Prediction of Compound Plasma Concentration-Time Profiles in Mice Using Random Forest. ''Mol Pharm''. 2023 Jun 5; '''20''' (6):3060-3072
Tau accumulation and its spatial progression across the Alzheimer's disease spectrum. Description: St-Onge, Frederic, et al. Tau accumulation and its spatial progression across the Alzheimer's disease spectrum. ''medRxiv''. 2023 Jun 5;
Utilizing Aggregated Molecular Phenotype (AMP) Scores to Visualize Simultaneous Molecular Changes in Mass Spectrometry Imaging Data. Description: Chappel, Jessie R, et al. Utilizing Aggregated Molecular Phenotype (AMP) Scores to Visualize Simultaneous Molecular Changes in Mass Spectrometry Imaging Data. ''bioRxiv''. 2023 Jun 5;
Wearable sensor and machine learning accurately estimate tendon load and walking speed during immobilizing boot ambulation. Description: Kwon, Michelle P, et al. Wearable sensor and machine learning accurately estimate tendon load and walking speed during immobilizing boot ambulation. ''medRxiv''. 2023 Jun 5;
A foundational vision transformer improves diagnostic performance for electrocardiograms. Description: Vaid, Akhil, et al. A foundational vision transformer improves diagnostic performance for electrocardiograms. ''NPJ Digit Med''. 2023 Jun 6; '''6''' (1):108
A live-cell image-based machine learning strategy for reducing variability in PSC differentiation systems. Description: Yang, Xiaochun, et al. A live-cell image-based machine learning strategy for reducing variability in PSC differentiation systems. ''Cell Discov''. 2023 Jun 6; '''9''' (1):53
Chromatin alternates between A and B compartments at kilobase scale for subgenic organization. Description: Harris, Hannah L, et al. Chromatin alternates between A and B compartments at kilobase scale for subgenic organization. ''Nat Commun''. 2023 Jun 6; '''14''' (1):3303
Deep learning for automated detection of neovascular leakage on ultra-widefield fluorescein angiography in diabetic retinopathy. Description: Zhao, Peter Y, et al. Deep learning for automated detection of neovascular leakage on ultra-widefield fluorescein angiography in diabetic retinopathy. ''Sci Rep''. 2023 Jun 6; '''13''' (1):9165
Large scale proteomic studies create novel privacy considerations. Description: Hill, Andrew C, et al. Large scale proteomic studies create novel privacy considerations. ''Sci Rep''. 2023 Jun 7; '''13''' (1):9254
Assessment of goal-directed behavior and prospective memory in adult ADHD with an online 3D videogame simulating everyday tasks. Description: Jylkka, Jussi, et al. Assessment of goal-directed behavior and prospective memory in adult ADHD with an online 3D videogame simulating everyday tasks. ''Sci Rep''. 2023 Jun 8; '''13''' (1):9299
Autoantigen profiling reveals a shared post-COVID signature in fully recovered and long COVID patients. Description: Bodansky, Aaron, et al. Autoantigen profiling reveals a shared post-COVID signature in fully recovered and long COVID patients. ''JCI Insight''. 2023 Jun 8; '''8''' (11):
Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study. Description: Solans Noguero, David, et al. Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study. ''J Med Internet Res''. 2023 Jun 8; '''25''': e45184
GeoBind: segmentation of nucleic acid binding interface on protein surface with geometric deep learning. Description: Li, Pengpai, et al. GeoBind: segmentation of nucleic acid binding interface on protein surface with geometric deep learning. ''Nucleic Acids Res''. 2023 Jun 9; '''51''' (10):e60
Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation. Description: Sel, Kaan, et al. Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation. ''NPJ Digit Med''. 2023 Jun 9; '''6''' (1):110
Discovery of senolytics using machine learning. Description: Smer-Barreto, Vanessa, et al. Discovery of senolytics using machine learning. ''Nat Commun''. 2023 Jun 10; '''14''' (1):3445
Machine Learning Methods for Pregnancy and Childbirth Risk Management. Description: Kopanitsa, Georgy, et al. Machine Learning Methods for Pregnancy and Childbirth Risk Management. ''J Pers Med''. 2023 Jun 10; '''13''' (6):
Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study. Description: Goyal, Jatin, et al. Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study. ''BMC Med Inform Decis Mak''. 2023 Jun 11; '''23''' (1):105
Compositional and functional variability of the gut microbiome in children with infantile colic. Description: Kozhakhmetov, Samat, et al. Compositional and functional variability of the gut microbiome in children with infantile colic. ''Sci Rep''. 2023 Jun 12; '''13''' (1):9530
Fragment Merging Using a Graph Database Samples Different Catalogue Space than Similarity Search. Description: Wills, Stephanie, et al. Fragment Merging Using a Graph Database Samples Different Catalogue Space than Similarity Search. ''J Chem Inf Model''. 2023 Jun 12; '''63''' (11):3423-3437
Full-scale network analysis reveals properties of the FV protein structure organization. Description: Ferreira-Martins, Andre J, et al. Full-scale network analysis reveals properties of the FV protein structure organization. ''Sci Rep''. 2023 Jun 12; '''13''' (1):9546
Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries. Description: Li, Lin, et al. Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries. ''Nat Commun''. 2023 Jun 12; '''14''' (1):3454
Predicting hyperkalemia in patients with advanced chronic kidney disease using the XGBoost model. Description: Chang, Hsin-Hsiung, et al. Predicting hyperkalemia in patients with advanced chronic kidney disease using the XGBoost model. ''BMC Nephrol''. 2023 Jun 12; '''24''' (1):169
Proposal of a Methodology for Prediction of Indoor PM(2.5) Concentration Using Sensor-Based Residential Environments Monitoring Data and Time-Divided Multiple Linear Regression Model. Description: Park, Shin-Young, et al. Proposal of a Methodology for Prediction of Indoor PM(2.5) Concentration Using Sensor-Based Residential Environments Monitoring Data and Time-Divided Multiple Linear Regression Model. ''Toxics''. 2023 Jun 12; '''11''' (6):
Unraveling the glycosylated immunopeptidome with HLA-Glyco. Description: Bedran, Georges, et al. Unraveling the glycosylated immunopeptidome with HLA-Glyco. ''Nat Commun''. 2023 Jun 12; '''14''' (1):3461
Machine Learning Electron Density Prediction Using Weighted Smooth Overlap of Atomic Positions. Description: Achar, Siddarth K, et al. Machine Learning Electron Density Prediction Using Weighted Smooth Overlap of Atomic Positions. ''Nanomaterials (Basel)''. 2023 Jun 13; '''13''' (12):
Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies. Description: Jagannathan, Sridhar R, et al. Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies. ''bioRxiv''. 2023 Jun 13;
Parameterization of the miniPEG-Modified gammaPNA Backbone: Toward Induced gammaPNA Duplex Dissociation. Description: Tamez, Angel, et al. Parameterization of the miniPEG-Modified gammaPNA Backbone: Toward Induced gammaPNA Duplex Dissociation. ''J Chem Theory Comput''. 2023 Jun 13; '''19''' (11):3346-3358
Population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules. Description: Sladek, Martin, et al. Population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules. ''Sleep''. 2023 Jun 13; '''46''' (6):
Predicting the antigenic evolution of SARS-COV-2 with deep learning. Description: Han, Wenkai, et al. Predicting the antigenic evolution of SARS-COV-2 with deep learning. ''Nat Commun''. 2023 Jun 13; '''14''' (1):3478
Accurate tumor purity determination is critical for the analysis of homologous recombination deficiency (HRD). Description: Menzel, Michael, et al. Accurate tumor purity determination is critical for the analysis of homologous recombination deficiency (HRD). ''Transl Oncol''. 2023 Jun 14; '''35''': 101706
AI-guided pipeline for protein-protein interaction drug discovery identifies a SARS-CoV-2 inhibitor. Description: Trepte, Philipp, et al. AI-guided pipeline for protein-protein interaction drug discovery identifies a SARS-CoV-2 inhibitor. ''bioRxiv''. 2023 Jun 14;
Attention-Guided Transfer Learning for Identification of Filamentous Fungi Encountered in the Clinical Laboratory. Description: Huang, Tsi-Shu, et al. Attention-Guided Transfer Learning for Identification of Filamentous Fungi Encountered in the Clinical Laboratory. ''Microbiol Spectr''. 2023 Jun 15; '''11''' (3):e0461122
Data-Driven Two-Stage Framework for Identification and Characterization of Different Antibiotic-Resistant Escherichia coli Isolates Based on Mass Spectrometry Data. Description: Chung, Chia-Ru, et al. Data-Driven Two-Stage Framework for Identification and Characterization of Different Antibiotic-Resistant Escherichia coli Isolates Based on Mass Spectrometry Data. ''Microbiol Spectr''. 2023 Jun 15; '''11''' (3):e0347922
Evaluating power to detect recurrent selective sweeps under increasingly realistic evolutionary null models. Description: Soni, Vivak, et al. Evaluating power to detect recurrent selective sweeps under increasingly realistic evolutionary null models. ''bioRxiv''. 2023 Jun 15;
The use of artificial intelligence models to predict survival in patients with laryngeal squamous cell carcinoma. Description: Choi, Nayeon, et al. The use of artificial intelligence models to predict survival in patients with laryngeal squamous cell carcinoma. ''Sci Rep''. 2023 Jun 15; '''13''' (1):9734
Cellular Iron Deficiency Disrupts Thyroid Hormone Regulated Gene Expression in Developing Hippocampal Neurons. Description: Monko, Timothy R, et al. Cellular Iron Deficiency Disrupts Thyroid Hormone Regulated Gene Expression in Developing Hippocampal Neurons. ''bioRxiv''. 2023 Jun 17;
A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data. Description: Mathew, Jino, et al. A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data. ''Sci Rep''. 2023 Jun 19; '''13''' (1):9948
Machine learning algorithms for predicting days of high incidence for out-of-hospital cardiac arrest. Description: Shimada-Sammori, Kaoru, et al. Machine learning algorithms for predicting days of high incidence for out-of-hospital cardiac arrest. ''Sci Rep''. 2023 Jun 19; '''13''' (1):9950
A comparison of performance between a deep learning model with residents for localization and classification of intracranial hemorrhage. Description: Angkurawaranon, Salita, et al. A comparison of performance between a deep learning model with residents for localization and classification of intracranial hemorrhage. ''Sci Rep''. 2023 Jun 20; '''13''' (1):9975
Default egocentrism: an MVPA approach to overlap in own and others' socio-political attitudes. Description: Welborn, B Locke, et al. Default egocentrism: an MVPA approach to overlap in own and others' socio-political attitudes. ''Soc Cogn Affect Neurosci''. 2023 Jun 20; '''18''' (1):
Development potential of nanoenabled agriculture projected using machine learning. Description: Deng, Peng, et al. Development potential of nanoenabled agriculture projected using machine learning. ''Proc Natl Acad Sci U S A''. 2023 Jun 20; '''120''' (25):e2301885120
Integrative multi-omics deciphers the spatial characteristics of host-gut microbiota interactions in Crohn's disease. Description: Gao, Xiang, et al. Integrative multi-omics deciphers the spatial characteristics of host-gut microbiota interactions in Crohn's disease. ''Cell Rep Med''. 2023 Jun 20; '''4''' (6):101050
Spike-based coupling between single neurons and populations across rat sensory cortices, perirhinal cortex, and hippocampus. Description: Dorman, Reinder, et al. Spike-based coupling between single neurons and populations across rat sensory cortices, perirhinal cortex, and hippocampus. ''Cereb Cortex''. 2023 Jun 20; '''33''' (13):8247-8264
Factors influencing oral microbiome analysis: from saliva sampling methods to next-generation sequencing platforms. Description: Bang, Eunsik, et al. Factors influencing oral microbiome analysis: from saliva sampling methods to next-generation sequencing platforms. ''Sci Rep''. 2023 Jun 21; '''13''' (1):10086
Validation of collaborative cyberspace virtual reality oculometry enhanced with near real-time spatial audio. Description: Maloca, Peter M, et al. Validation of collaborative cyberspace virtual reality oculometry enhanced with near real-time spatial audio. ''Sci Rep''. 2023 Jun 21; '''13''' (1):10076
A feasibility study on AI-controlled closed-loop electrical stimulation implants. Description: Eickhoff, Steffen, et al. A feasibility study on AI-controlled closed-loop electrical stimulation implants. ''Sci Rep''. 2023 Jun 22; '''13''' (1):10163
An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology. Description: Chatterjee, Ayan, et al. An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology. ''Sci Rep''. 2023 Jun 22; '''13''' (1):10182
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Ensemble-Learning and Feature Selection Techniques for Enhanced Antisense Oligonucleotide Efficacy Prediction in Exon Skipping. Description: Zhu, Alex, et al. Ensemble-Learning and Feature Selection Techniques for Enhanced Antisense Oligonucleotide Efficacy Prediction in Exon Skipping. ''Pharmaceutics''. 2023 Jun 24; '''15''' (7):
Hybrid Classical-Quantum Transfer Learning for Cardiomegaly Detection in Chest X-rays. Description: Decoodt, Pierre, et al. Hybrid Classical-Quantum Transfer Learning for Cardiomegaly Detection in Chest X-rays. ''J Imaging''. 2023 Jun 25; '''9''' (7):
Mechatronic Device Control by Artificial Intelligence. Description: Bohusik, Martin, et al. Mechatronic Device Control by Artificial Intelligence. ''Sensors (Basel)''. 2023 Jun 25; '''23''' (13):
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Large-Scale Modeling of Sparse Protein Kinase Activity Data. Description: Luukkonen, Sohvi, et al. Large-Scale Modeling of Sparse Protein Kinase Activity Data. ''J Chem Inf Model''. 2023 Jun 26; '''63''' (12):3688-3696
Predicting Disengagement to Better Support Outcomes in a Web-Based Weight Loss Program Using Machine Learning Models: Cross-Sectional Study. Description: Brankovic, Aida, et al. Predicting Disengagement to Better Support Outcomes in a Web-Based Weight Loss Program Using Machine Learning Models: Cross-Sectional Study. ''J Med Internet Res''. 2023 Jun 26; '''25''': e43633
Comparing mechanism-based and machine learning models for predicting the effects of glucose accessibility on tumor cell proliferation. Description: Yang, Jianchen, et al. Comparing mechanism-based and machine learning models for predicting the effects of glucose accessibility on tumor cell proliferation. ''Sci Rep''. 2023 Jun 27; '''13''' (1):10387
Early Screening of Colorectal Precancerous Lesions Based on Combined Measurement of Multiple Serum Tumor Markers Using Artificial Neural Network Analysis. Description: Ke, Xing, et al. Early Screening of Colorectal Precancerous Lesions Based on Combined Measurement of Multiple Serum Tumor Markers Using Artificial Neural Network Analysis. ''Biosensors (Basel)''. 2023 Jun 27; '''13''' (7):
ExplaiNN: interpretable and transparent neural networks for genomics. Description: Novakovsky, Gherman, et al. ExplaiNN: interpretable and transparent neural networks for genomics. ''Genome Biol''. 2023 Jun 27; '''24''' (1):154
Novel autoantibody targets identified in patients with autoimmune hepatitis (AIH) by PhIP-Seq reveals pathogenic insights. Description: Klepper, Arielle, et al. Novel autoantibody targets identified in patients with autoimmune hepatitis (AIH) by PhIP-Seq reveals pathogenic insights. ''medRxiv''. 2023 Jun 27;
SR-TWAS: Leveraging Multiple Reference Panels to Improve TWAS Power by Ensemble Machine Learning. Description: Parrish, Randy L, et al. SR-TWAS: Leveraging Multiple Reference Panels to Improve TWAS Power by Ensemble Machine Learning. ''medRxiv''. 2023 Jun 27;
Machine Learning Interpretability Methods to Characterize Brain Network Dynamics in Epilepsy. Description: Upadhyaya, Dipak P, et al. Machine Learning Interpretability Methods to Characterize Brain Network Dynamics in Epilepsy. ''medRxiv''. 2023 Jun 28;
Noninvasive imaging signatures of HER2 and HR using ADC in invasive breast cancer: repeatability, reproducibility, and association with pathological complete response to neoadjuvant chemotherapy. Description: Teng, Xinzhi, et al. Noninvasive imaging signatures of HER2 and HR using ADC in invasive breast cancer: repeatability, reproducibility, and association with pathological complete response to neoadjuvant chemotherapy. ''Breast Cancer Res''. 2023 Jun 28; '''25''' (1):77
Determination of individual factors associated with hallux valgus using SVM-RFE. Description: Nakao, Hidetoshi, et al. Determination of individual factors associated with hallux valgus using SVM-RFE. ''BMC Musculoskelet Disord''. 2023 Jun 29; '''24''' (1):534
Elucidation of independently modulated genes in Streptococcus pyogenes reveals carbon sources that control its expression of hemolytic toxins. Description: Hirose, Yujiro, et al. Elucidation of independently modulated genes in Streptococcus pyogenes reveals carbon sources that control its expression of hemolytic toxins. ''mSystems''. 2023 Jun 29; '''8''' (3):e0024723
Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity. Description: Dolezalova, Nikola, et al. Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity. ''Sci Rep''. 2023 Jun 29; '''13''' (1):10581
Identification of a Specific Biomarker of Acinetobacter baumannii Global Clone 1 by Machine Learning and PCR Related to Metabolic Fitness of ESKAPE Pathogens. Description: Alvarez, Veronica Elizabeth, et al. Identification of a Specific Biomarker of Acinetobacter baumannii Global Clone 1 by Machine Learning and PCR Related to Metabolic Fitness of ESKAPE Pathogens. ''mSystems''. 2023 Jun 29; '''8''' (3):e0073422
Optimizing Patient Record Linkage in a Master Patient Index Using Machine Learning: Algorithm Development and Validation. Description: Nelson, Walter, et al. Optimizing Patient Record Linkage in a Master Patient Index Using Machine Learning: Algorithm Development and Validation. ''JMIR Form Res''. 2023 Jun 29; '''7''': e44331
Simultaneous Multi-Omics Analysis by Direct Infusion Mass Spectrometry (SMAD-MS). Description: Jiang, Yuming, et al. Simultaneous Multi-Omics Analysis by Direct Infusion Mass Spectrometry (SMAD-MS). ''bioRxiv''. 2023 Jun 29;
Determination of Optimal Predictors and Sampling Frequency to Develop Nutrient Soft Sensors Using Random Forest. Description: Arhab, Muhammad, et al. Determination of Optimal Predictors and Sampling Frequency to Develop Nutrient Soft Sensors Using Random Forest. ''Sensors (Basel)''. 2023 Jun 30; '''23''' (13):
Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning. Description: Boyd, Aidan, et al. Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning. ''medRxiv''. 2023 Jun 30;
Exploring Dimensionality Reduction Techniques for Deep Learning Driven QSAR Models of Mutagenicity. Description: Kalian, Alexander D, et al. Exploring Dimensionality Reduction Techniques for Deep Learning Driven QSAR Models of Mutagenicity. ''Toxics''. 2023 Jun 30; '''11''' (7):
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UNADON: transformer-based model to predict genome-wide chromosome spatial position. Description: Yang, Muyu, et al. UNADON: transformer-based model to predict genome-wide chromosome spatial position. ''Bioinformatics''. 2023 Jun 30; '''39''' (39 Suppl 1):i553-i562
A machine learning approach towards the differentiation between interoceptive and exteroceptive attention. Description: Zuo, Zoey X, et al. A machine learning approach towards the differentiation between interoceptive and exteroceptive attention. ''Eur J Neurosci''. 2023 Jul; '''58''' (2):2523-2546
A prognostic risk score for development and spread of chronic pain. Description: Tanguay-Sabourin, Christophe, et al. A prognostic risk score for development and spread of chronic pain. ''Nat Med''. 2023 Jul; '''29''' (7):1821-1831
A spatial genome aligner for resolving chromatin architectures from multiplexed DNA FISH. Description: Jia, Bojing Blair, et al. A spatial genome aligner for resolving chromatin architectures from multiplexed DNA FISH. ''Nat Biotechnol''. 2023 Jul; '''41''' (7):1004-1017
A spatially resolved timeline of the human maternal-fetal interface. Description: Greenbaum, Shirley, et al. A spatially resolved timeline of the human maternal-fetal interface. ''Nature''. 2023 Jul; '''619''' (7970):595-605
Chromothripsis detection with multiple myeloma patients based on deep graph learning. Description: Yu, Jixiang, et al. Chromothripsis detection with multiple myeloma patients based on deep graph learning. ''Bioinformatics''. 2023 Jul 1; '''39''' (7):
Development and validation of anthropometric-based fat-mass prediction equations using air displacement plethysmography in Mexican infants. Description: Rodriguez-Cano, Ameyalli M, et al. Development and validation of anthropometric-based fat-mass prediction equations using air displacement plethysmography in Mexican infants. ''Eur J Clin Nutr''. 2023 Jul; '''77''' (7):748-756
DNA methylation-based classifier differentiates intrahepatic pancreato-biliary tumours. Description: Dragomir, Mihnea P, et al. DNA methylation-based classifier differentiates intrahepatic pancreato-biliary tumours. ''EBioMedicine''. 2023 Jul; '''93''': 104657
Effects of Nadishodhana and Bhramari Pranayama on heart rate variability, auditory reaction time, and blood pressure: A randomized clinical trial in hypertensive patients. Description: Upadhyay, Junu, et al. Effects of Nadishodhana and Bhramari Pranayama on heart rate variability, auditory reaction time, and blood pressure: A randomized clinical trial in hypertensive patients. ''J Ayurveda Integr Med''. 2023 Jul-Aug; '''14''' (4):100774
Esr1(+) hypothalamic-habenula neurons shape aversive states. Description: Calvigioni, Daniela, et al. Esr1(+) hypothalamic-habenula neurons shape aversive states. ''Nat Neurosci''. 2023 Jul; '''26''' (7):1245-1255
Gene signature discovery and systematic validation across diverse clinical cohorts for TB prognosis and response to treatment. Description: Vargas, Roger, et al. Gene signature discovery and systematic validation across diverse clinical cohorts for TB prognosis and response to treatment. ''PLoS Comput Biol''. 2023 Jul; '''19''' (7):e1010770
Health system-scale language models are all-purpose prediction engines. Description: Jiang, Lavender Yao, et al. Health system-scale language models are all-purpose prediction engines. ''Nature''. 2023 Jul; '''619''' (7969):357-362
Injury prevents Ras mutant cell expansion in mosaic skin. Description: Gallini, Sara, et al. Injury prevents Ras mutant cell expansion in mosaic skin. ''Nature''. 2023 Jul; '''619''' (7968):167-175
In vivo quantitative MRI: T(1) and T(2) measurements of the human brain at 0.064 T. Description: Jordanova, Kalina V, et al. In vivo quantitative MRI: T(1) and T(2) measurements of the human brain at 0.064 T. ''MAGMA''. 2023 Jul; '''36''' (3):487-498
Machine learning to predict poor school performance in paediatric survivors of intensive care: a population-based cohort study. Description: Gilholm, Patricia, et al. Machine learning to predict poor school performance in paediatric survivors of intensive care: a population-based cohort study. ''Intensive Care Med''. 2023 Jul; '''49''' (7):785-795
On the construction of LIECE models for the serotonin receptor 5-HT[Formula: see text]R. Description: Shahraki, Aida, et al. On the construction of LIECE models for the serotonin receptor 5-HT[Formula: see text]R. ''J Comput Aided Mol Des''. 2023 Jul; '''37''' (7):313-323
Predictability of the vault after implantable collamer lens implantation using OCT and artificial intelligence in White patient eyes. Description: Russo, Andrea, et al. Predictability of the vault after implantable collamer lens implantation using OCT and artificial intelligence in White patient eyes. ''J Cataract Refract Surg''. 2023 Jul 1; '''49''' (7):724-731
Proteomic profiling of gastric cancer with peritoneal metastasis identifies a protein signature associated with immune microenvironment and patient outcome. Description: Chen, Yanyan, et al. Proteomic profiling of gastric cancer with peritoneal metastasis identifies a protein signature associated with immune microenvironment and patient outcome. ''Gastric Cancer''. 2023 Jul; '''26''' (4):504-516
Rapid prediction of MRI-induced RF heating of active implantable medical devices using machine learning. Description: Vu, Jasmine, et al. Rapid prediction of MRI-induced RF heating of active implantable medical devices using machine learning. ''Annu Int Conf IEEE Eng Med Biol Soc''. 2023 Jul; '''2023''': 1-4
Relaxed targeting rules help PIWI proteins silence transposons. Description: Gainetdinov, Ildar, et al. Relaxed targeting rules help PIWI proteins silence transposons. ''Nature''. 2023 Jul; '''619''' (7969):394-402
Targeting AAV vectors to the central nervous system by engineering capsid-receptor interactions that enable crossing of the blood-brain barrier. Description: Huang, Qin, et al. Targeting AAV vectors to the central nervous system by engineering capsid-receptor interactions that enable crossing of the blood-brain barrier. ''PLoS Biol''. 2023 Jul; '''21''' (7):e3002112
The interplay between age structure and cultural transmission. Description: Kandler, Anne, et al. The interplay between age structure and cultural transmission. ''PLoS Comput Biol''. 2023 Jul; '''19''' (7):e1011297
Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging. Description: Williams, Michelle C, et al. Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging. ''Eur J Nucl Med Mol Imaging''. 2023 Jul; '''50''' (9):2656-2668
Homologous mutations in beta, embryonic, and perinatal muscle myosins have divergent effects on molecular power generation. Description: Liu, Chao, et al. Homologous mutations in beta, embryonic, and perinatal muscle myosins have divergent effects on molecular power generation. ''bioRxiv''. 2023 Jul 2;
On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19. Description: Chaudhary, Meghna, et al. On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19. ''Sci Rep''. 2023 Jul 2; '''13''' (1):10694
SELID: Selective Event Labeling for Intrusion Detection Datasets. Description: Jang, Woohyuk, et al. SELID: Selective Event Labeling for Intrusion Detection Datasets. ''Sensors (Basel)''. 2023 Jul 2; '''23''' (13):
A biological camera that captures and stores images directly into DNA. Description: Lim, Cheng Kai, et al. A biological camera that captures and stores images directly into DNA. ''Nat Commun''. 2023 Jul 3; '''14''' (1):3921
A Machine Learning Framework Identifies Plastid-Encoded Proteins Harboring C3 and C4 Distinguishing Sequence Information. Description: Yogadasan, Nilanth, et al. A Machine Learning Framework Identifies Plastid-Encoded Proteins Harboring C3 and C4 Distinguishing Sequence Information. ''Genome Biol Evol''. 2023 Jul 3; '''15''' (7):
A machine learning toolbox for the analysis of sharp-wave ripples reveal common features across species. Description: Navas-Olive, Andrea, et al. A machine learning toolbox for the analysis of sharp-wave ripples reveal common features across species. ''bioRxiv''. 2023 Jul 3;
Application of Deep Learning Algorithm to Monitor Upper Extremity Task Practice. Description: Li, Mingqi, et al. Application of Deep Learning Algorithm to Monitor Upper Extremity Task Practice. ''Sensors (Basel)''. 2023 Jul 3; '''23''' (13):
Vesicle-associated membrane protein 2 is a cargo-selective v-SNARE for a subset of GPCRs. Description: Chen, Hao, et al. Vesicle-associated membrane protein 2 is a cargo-selective v-SNARE for a subset of GPCRs. ''J Cell Biol''. 2023 Jul 3; '''222''' (7):
Urban visual intelligence: Uncovering hidden city profiles with street view images. Description: Fan, Zhuangyuan, et al. Urban visual intelligence: Uncovering hidden city profiles with street view images. ''Proc Natl Acad Sci U S A''. 2023 Jul 4; '''120''' (27):e2220417120
A comparative investigation of machine learning algorithms for predicting safety signs comprehension based on socio-demographic factors and cognitive sign features. Description: Rostamzadeh, Sajjad, et al. A comparative investigation of machine learning algorithms for predicting safety signs comprehension based on socio-demographic factors and cognitive sign features. ''Sci Rep''. 2023 Jul 5; '''13''' (1):10843
A comprehensive in vivo screen of yeast farnesyltransferase activity reveals broad reactivity across a majority of CXXX sequences. Description: Kim, June H, et al. A comprehensive in vivo screen of yeast farnesyltransferase activity reveals broad reactivity across a majority of CXXX sequences. ''G3 (Bethesda)''. 2023 Jul 5; '''13''' (7):
Machine learning identifies a profile of inadequate responder to methotrexate in rheumatoid arthritis. Description: Duquesne, Julien, et al. Machine learning identifies a profile of inadequate responder to methotrexate in rheumatoid arthritis. ''Rheumatology (Oxford)''. 2023 Jul 5; '''62''' (7):2402-2409
Machine learning predicts lung recruitment in acute respiratory distress syndrome using single lung CT scan. Description: Pennati, Francesca, et al. Machine learning predicts lung recruitment in acute respiratory distress syndrome using single lung CT scan. ''Ann Intensive Care''. 2023 Jul 5; '''13''' (1):60
OnTarget: in silico design of MiniPromoters for targeted delivery of expression. Description: Fornes, Oriol, et al. OnTarget: in silico design of MiniPromoters for targeted delivery of expression. ''Nucleic Acids Res''. 2023 Jul 5; '''51''' (W1):W379-W386
A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap. Description: Herfort, Benjamin, et al. A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap. ''Nat Commun''. 2023 Jul 6; '''14''' (1):3985
A stem cell zoo uncovers intracellular scaling of developmental tempo across mammals. Description: Lazaro, Jorge, et al. A stem cell zoo uncovers intracellular scaling of developmental tempo across mammals. ''Cell Stem Cell''. 2023 Jul 6; '''30''' (7):938-949.e7
Development and validation of the creatinine clearance predictor machine learning models in critically ill adults. Description: Huang, Chao-Yuan, et al. Development and validation of the creatinine clearance predictor machine learning models in critically ill adults. ''Crit Care''. 2023 Jul 6; '''27''' (1):272
Machine learning for predicting the risk stratification of 1-5 cm gastric gastrointestinal stromal tumors based on CT. Description: Zhang, Cui, et al. Machine learning for predicting the risk stratification of 1-5 cm gastric gastrointestinal stromal tumors based on CT. ''BMC Med Imaging''. 2023 Jul 6; '''23''' (1):90
Target of selective auditory attention can be robustly followed with MEG. Description: Kurmanaviciute, Dovile, et al. Target of selective auditory attention can be robustly followed with MEG. ''Sci Rep''. 2023 Jul 6; '''13''' (1):10959
Tumor collagens predict genetic features and patient outcomes. Description: Guo, Kevin S, et al. Tumor collagens predict genetic features and patient outcomes. ''NPJ Genom Med''. 2023 Jul 6; '''8''' (1):15
A microfluidic approach for label-free identification of small-sized microplastics in seawater. Description: Gong, Liyuan, et al. A microfluidic approach for label-free identification of small-sized microplastics in seawater. ''Sci Rep''. 2023 Jul 7; '''13''' (1):11011
Applying a Smartwatch to Predict Work-related Fatigue for Emergency Healthcare Professionals: Machine Learning Method. Description: Liu, Sot Shih-Hung, et al. Applying a Smartwatch to Predict Work-related Fatigue for Emergency Healthcare Professionals: Machine Learning Method. ''West J Emerg Med''. 2023 Jul 7; '''24''' (4):693-702
Characterizing endogenous delta oscillations in human MEG. Description: Gunasekaran, Harish, et al. Characterizing endogenous delta oscillations in human MEG. ''Sci Rep''. 2023 Jul 7; '''13''' (1):11031
Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses. Description: Nose, Daisuke, et al. Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses. ''J Cardiovasc Dev Dis''. 2023 Jul 7; '''10''' (7):
Machine learning to improve interpretability of clinical, radiological and panel-based genomic data of glioma grade 4 patients undergoing surgical resection. Description: Dal Bo, Michele, et al. Machine learning to improve interpretability of clinical, radiological and panel-based genomic data of glioma grade 4 patients undergoing surgical resection. ''J Transl Med''. 2023 Jul 7; '''21''' (1):450
Multimodal hierarchical classification of CITE-seq data delineates immune cell states across lineages and tissues. Description: Caron, Daniel P, et al. Multimodal hierarchical classification of CITE-seq data delineates immune cell states across lineages and tissues. ''bioRxiv''. 2023 Jul 7;
Stability Constant and Potentiometric Sensitivity of Heavy Metal-Organic Fluorescent Compound Complexes: QSPR Models for Prediction and Design of Novel Coumarin-like Ligands. Description: Diem-Tran, Phan Thi, et al. Stability Constant and Potentiometric Sensitivity of Heavy Metal-Organic Fluorescent Compound Complexes: QSPR Models for Prediction and Design of Novel Coumarin-like Ligands. ''Toxics''. 2023 Jul 7; '''11''' (7):
Radiomics approaches to predict PD-L1 and PFS in advanced non-small cell lung patients treated with immunotherapy: a multi-institutional study. Description: Yolchuyeva, Sevinj, et al. Radiomics approaches to predict PD-L1 and PFS in advanced non-small cell lung patients treated with immunotherapy: a multi-institutional study. ''Sci Rep''. 2023 Jul 8; '''13''' (1):11065
Using the collaborative cross to identify the role of host genetics in defining the murine gut microbiome. Description: Nagarajan, Aravindh, et al. Using the collaborative cross to identify the role of host genetics in defining the murine gut microbiome. ''Microbiome''. 2023 Jul 8; '''11''' (1):149
Artificial Intelligence-Driven Respiratory Distress Syndrome Prediction for Very Low Birth Weight Infants: Korean Multicenter Prospective Cohort Study. Description: Jang, Woocheol, et al. Artificial Intelligence-Driven Respiratory Distress Syndrome Prediction for Very Low Birth Weight Infants: Korean Multicenter Prospective Cohort Study. ''J Med Internet Res''. 2023 Jul 10; '''25''': e47612
Identifying important microbial and genomic biomarkers for differentiating right- versus left-sided colorectal cancer using random forest models. Description: Kolisnik, Tyler, et al. Identifying important microbial and genomic biomarkers for differentiating right- versus left-sided colorectal cancer using random forest models. ''BMC Cancer''. 2023 Jul 11; '''23''' (1):647
Modulating the Human Gut Microbiota through Hypocaloric Balanced Diets: An Effective Approach for Managing Obesity. Description: Wang, Hongchao, et al. Modulating the Human Gut Microbiota through Hypocaloric Balanced Diets: An Effective Approach for Managing Obesity. ''Nutrients''. 2023 Jul 11; '''15''' (14):
Additive effects of booster mRNA vaccination and SARS-CoV-2 Omicron infection on T cell immunity across immunocompromised states. Description: Muller, Thomas R, et al. Additive effects of booster mRNA vaccination and SARS-CoV-2 Omicron infection on T cell immunity across immunocompromised states. ''Sci Transl Med''. 2023 Jul 12; '''15''' (704):eadg9452
Development and validation of a clinic machine-learning nomogram for the prediction of risk stratifications of prostate cancer based on functional subsets of peripheral lymphocyte. Description: Yang, Chunguang, et al. Development and validation of a clinic machine-learning nomogram for the prediction of risk stratifications of prostate cancer based on functional subsets of peripheral lymphocyte. ''J Transl Med''. 2023 Jul 12; '''21''' (1):465
Deep structured learning for variant prioritization in Mendelian diseases. Description: Danzi, Matt C, et al. Deep structured learning for variant prioritization in Mendelian diseases. ''Nat Commun''. 2023 Jul 13; '''14''' (1):4167
Exon-intron boundary inhibits m(6)A deposition, enabling m(6)A distribution hallmark, longer mRNA half-life and flexible protein coding. Description: Luo, Zhiyuan, et al. Exon-intron boundary inhibits m(6)A deposition, enabling m(6)A distribution hallmark, longer mRNA half-life and flexible protein coding. ''Nat Commun''. 2023 Jul 13; '''14''' (1):4172
Multi-center study on predicting breast cancer lymph node status from core needle biopsy specimens using multi-modal and multi-instance deep learning. Description: Ding, Yan, et al. Multi-center study on predicting breast cancer lymph node status from core needle biopsy specimens using multi-modal and multi-instance deep learning. ''NPJ Breast Cancer''. 2023 Jul 13; '''9''' (1):58
Active learning for prediction of tensile properties for material extrusion additive manufacturing. Description: Nasrin, Tahamina, et al. Active learning for prediction of tensile properties for material extrusion additive manufacturing. ''Sci Rep''. 2023 Jul 15; '''13''' (1):11460
Machine learning-based guilt detection in text. Description: Meque, Abdul Gafar Manuel, et al. Machine learning-based guilt detection in text. ''Sci Rep''. 2023 Jul 15; '''13''' (1):11441
Refining skin lesions classification performance using geometric features of superpixels. Description: Moldovanu, Simona, et al. Refining skin lesions classification performance using geometric features of superpixels. ''Sci Rep''. 2023 Jul 15; '''13''' (1):11463
Strong Positive Selection Biases Identity-By-Descent-Based Inferences of Recent Demography and Population Structure in Plasmodium falciparum. Description: Guo, Bing, et al. Strong Positive Selection Biases Identity-By-Descent-Based Inferences of Recent Demography and Population Structure in Plasmodium falciparum. ''bioRxiv''. 2023 Jul 15;
Measurement of Shoulder Abduction Angle with Posture Estimation Artificial Intelligence Model. Description: Kusunose, Masaya, et al. Measurement of Shoulder Abduction Angle with Posture Estimation Artificial Intelligence Model. ''Sensors (Basel)''. 2023 Jul 16; '''23''' (14):
The genetic diversity of Nipah virus across spatial scales. Description: Azuero, Oscar Cortes, et al. The genetic diversity of Nipah virus across spatial scales. ''medRxiv''. 2023 Jul 16;
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M-type classification. Description: Vasques, Xavier, et al. Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M-type classification. ''Sci Rep''. 2023 Jul 17; '''13''' (1):11541
Elite male table tennis matches diagnosis using SHAP and a hybrid LSTM-BPNN algorithm. Description: Song, Honglin, et al. Elite male table tennis matches diagnosis using SHAP and a hybrid LSTM-BPNN algorithm. ''Sci Rep''. 2023 Jul 17; '''13''' (1):11533
Explainable ML models for a deeper insight on treatment decision for localized prostate cancer. Description: Han, Jang Hee, et al. Explainable ML models for a deeper insight on treatment decision for localized prostate cancer. ''Sci Rep''. 2023 Jul 17; '''13''' (1):11532
Machine learning-based prediction of in-ICU mortality in pneumonia patients. Description: Jeon, Eun-Tae, et al. Machine learning-based prediction of in-ICU mortality in pneumonia patients. ''Sci Rep''. 2023 Jul 17; '''13''' (1):11527
Predicting the Mitochondrial Toxicity of Small Molecules: Insights from Mechanistic Assays and Cell Painting Data. Description: Garcia de Lomana, Marina, et al. Predicting the Mitochondrial Toxicity of Small Molecules: Insights from Mechanistic Assays and Cell Painting Data. ''Chem Res Toxicol''. 2023 Jul 17; '''36''' (7):1107-1120
Proteogenomics of clear cell renal cell carcinoma response to tyrosine kinase inhibitor. Description: Zhang, Hailiang, et al. Proteogenomics of clear cell renal cell carcinoma response to tyrosine kinase inhibitor. ''Nat Commun''. 2023 Jul 17; '''14''' (1):4274
Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours. Description: Grenko, Caleb M, et al. Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours. ''bioRxiv''. 2023 Jul 17;
A Deep Learning Approach to Intrusion Detection and Segmentation in Pellet Fuels Using Microscopic Images. Description: Iwaszenko, Sebastian, et al. A Deep Learning Approach to Intrusion Detection and Segmentation in Pellet Fuels Using Microscopic Images. ''Sensors (Basel)''. 2023 Jul 18; '''23''' (14):
Automatically annotated motion tracking identifies a distinct social behavioral profile following chronic social defeat stress. Description: Bordes, Joeri, et al. Automatically annotated motion tracking identifies a distinct social behavioral profile following chronic social defeat stress. ''Nat Commun''. 2023 Jul 18; '''14''' (1):4319
Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study. Description: Oh, Sarah Soyeon, et al. Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study. ''J Med Internet Res''. 2023 Jul 18; '''25''': e45041
Spatiochemical Characterization of the Pancreas Using Mass Spectrometry Imaging and Topological Data Analysis. Description: Derwae, Helena, et al. Spatiochemical Characterization of the Pancreas Using Mass Spectrometry Imaging and Topological Data Analysis. ''Anal Chem''. 2023 Jul 18; '''95''' (28):10550-10556
Biobank-scale methods and projections for sparse polygenic prediction from machine learning. Description: Raben, Timothy G, et al. Biobank-scale methods and projections for sparse polygenic prediction from machine learning. ''Sci Rep''. 2023 Jul 19; '''13''' (1):11662
Development and external validation of a pretrained deep learning model for the prediction of non-accidental trauma. Description: Huang, David, et al. Development and external validation of a pretrained deep learning model for the prediction of non-accidental trauma. ''NPJ Digit Med''. 2023 Jul 19; '''6''' (1):131
FASDetect as a machine learning-based screening app for FASD in youth with ADHD. Description: Ehrig, Lukas, et al. FASDetect as a machine learning-based screening app for FASD in youth with ADHD. ''NPJ Digit Med''. 2023 Jul 19; '''6''' (1):130
Application of a generative adversarial network for multi-featured fermentation data synthesis and artificial neural network (ANN) modeling of bitter gourd-grape beverage production. Description: Gbashi, Sefater, et al. Application of a generative adversarial network for multi-featured fermentation data synthesis and artificial neural network (ANN) modeling of bitter gourd-grape beverage production. ''Sci Rep''. 2023 Jul 20; '''13''' (1):11755
DCiPatho: deep cross-fusion networks for genome scale identification of pathogens. Description: Jiang, Gaofei, et al. DCiPatho: deep cross-fusion networks for genome scale identification of pathogens. ''Brief Bioinform''. 2023 Jul 20; '''24''' (4):
Decoding Mental Effort in a Quasi-Realistic Scenario: A Feasibility Study on Multimodal Data Fusion and Classification. Description: Gado, Sabrina, et al. Decoding Mental Effort in a Quasi-Realistic Scenario: A Feasibility Study on Multimodal Data Fusion and Classification. ''Sensors (Basel)''. 2023 Jul 20; '''23''' (14):
MATTE: a pipeline of transcriptome module alignment for anti-noise phenotype-gene-related analysis. Description: Cai, Guoxin, et al. MATTE: a pipeline of transcriptome module alignment for anti-noise phenotype-gene-related analysis. ''Brief Bioinform''. 2023 Jul 20; '''24''' (4):
An Efficient Methodology Combining K-Means Machine Learning and Electrochemical Modelling for the Determination of Ionic Diffusivity and Kinetic Properties in Battery Electrodes. Description: Capron, Odile, et al. An Efficient Methodology Combining K-Means Machine Learning and Electrochemical Modelling for the Determination of Ionic Diffusivity and Kinetic Properties in Battery Electrodes. ''Materials (Basel)''. 2023 Jul 21; '''16''' (14):
An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application. Description: Shaeri, Mahdi, et al. An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application. ''BMC Med Inform Decis Mak''. 2023 Jul 21; '''23''' (1):130
Food Choices after Cognitive Load: An Affective Computing Approach. Description: Kappattanavar, Arpita Mallikarjuna, et al. Food Choices after Cognitive Load: An Affective Computing Approach. ''Sensors (Basel)''. 2023 Jul 21; '''23''' (14):
Machine learning-based approaches for cancer prediction using microbiome data. Description: Freitas, Pedro, et al. Machine learning-based approaches for cancer prediction using microbiome data. ''Sci Rep''. 2023 Jul 21; '''13''' (1):11821
Comparison of discrimination and calibration performance of ECG-based machine learning models for prediction of new-onset atrial fibrillation. Description: Baj, Giovanni, et al. Comparison of discrimination and calibration performance of ECG-based machine learning models for prediction of new-onset atrial fibrillation. ''BMC Med Res Methodol''. 2023 Jul 22; '''23''' (1):169
Functional Regulation of Aquaporin Dynamics by Lipid Bilayer Composition. Description: Nguyen, Anh T P, et al. Functional Regulation of Aquaporin Dynamics by Lipid Bilayer Composition. ''bioRxiv''. 2023 Jul 22;
Lifespan-extending interventions induce consistent patterns of fatty acid oxidation in mouse livers. Description: Watanabe, Kengo, et al. Lifespan-extending interventions induce consistent patterns of fatty acid oxidation in mouse livers. ''Commun Biol''. 2023 Jul 22; '''6''' (1):768
Microbiome specificity and fluxes between two distant plant taxa in Iberian forests. Description: Saati-Santamaria, Zaki, et al. Microbiome specificity and fluxes between two distant plant taxa in Iberian forests. ''Environ Microbiome''. 2023 Jul 22; '''18''' (1):64
Optimizing acidizing design and effectiveness assessment with machine learning for predicting post-acidizing permeability. Description: Dargi, Matin, et al. Optimizing acidizing design and effectiveness assessment with machine learning for predicting post-acidizing permeability. ''Sci Rep''. 2023 Jul 22; '''13''' (1):11851
Protocol for fabricating pseudocapacitor electrodes using ultra-short laser pulses for in situ nanostructure generation. Description: Khosravinia, Kavian, et al. Protocol for fabricating pseudocapacitor electrodes using ultra-short laser pulses for in situ nanostructure generation. ''STAR Protoc''. 2023 Jul 22; '''4''' (3):102469
Quantification of identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy with machine learning: a post hoc analysis of a diagnostic trial and validation of an external additional trial. Description: Kim, Jaewon, et al. Quantification of identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy with machine learning: a post hoc analysis of a diagnostic trial and validation of an external additional trial. ''Alzheimers Res Ther''. 2023 Jul 22; '''15''' (1):127
A Novel Deep Learning Model for Accurate Pest Detection and Edge Computing Deployment. Description: Kang, Huangyi, et al. A Novel Deep Learning Model for Accurate Pest Detection and Edge Computing Deployment. ''Insects''. 2023 Jul 24; '''14''' (7):
Artificial intelligence for the diagnosis of clinically significant prostate cancer based on multimodal data: a multicenter study. Description: Zhang, Huiyong, et al. Artificial intelligence for the diagnosis of clinically significant prostate cancer based on multimodal data: a multicenter study. ''BMC Med''. 2023 Jul 24; '''21''' (1):270
CONFPASS: Fast DFT Re-Optimizations of Structures from Conformation Searches. Description: Lam, Ching Ching, et al. CONFPASS: Fast DFT Re-Optimizations of Structures from Conformation Searches. ''J Chem Inf Model''. 2023 Jul 24; '''63''' (14):4364-4375
Continuous estimation of power system inertia using convolutional neural networks. Description: Linaro, Daniele, et al. Continuous estimation of power system inertia using convolutional neural networks. ''Nat Commun''. 2023 Jul 24; '''14''' (1):4440
Differences in Trends in Admissions and Outcomes among Patients from a Secondary Hospital in Madrid during the COVID-19 Pandemic: A Hospital-Based Epidemiological Analysis (2020-2022). Description: Garcia-Carretero, Rafael, et al. Differences in Trends in Admissions and Outcomes among Patients from a Secondary Hospital in Madrid during the COVID-19 Pandemic: A Hospital-Based Epidemiological Analysis (2020-2022). ''Viruses''. 2023 Jul 24; '''15''' (7):
Explaining Multiclass Compound Activity Predictions Using Counterfactuals and Shapley Values. Description: Lamens, Alec, et al. Explaining Multiclass Compound Activity Predictions Using Counterfactuals and Shapley Values. ''Molecules''. 2023 Jul 24; '''28''' (14):
Condensed-Phase Molecular Representation to Link Structure and Thermodynamics in Molecular Dynamics. Description: Mohr, Bernadette, et al. Condensed-Phase Molecular Representation to Link Structure and Thermodynamics in Molecular Dynamics. ''J Chem Theory Comput''. 2023 Jul 25; '''19''' (14):4770-4779
Expulsion mechanism of the substrate-translocating subunit in ECF transporters. Description: Thangaratnarajah, Chancievan, et al. Expulsion mechanism of the substrate-translocating subunit in ECF transporters. ''Nat Commun''. 2023 Jul 25; '''14''' (1):4484
Improved HIV-1 neutralization breadth and potency of V2-apex antibodies by in silico design. Description: Holt, Graham T, et al. Improved HIV-1 neutralization breadth and potency of V2-apex antibodies by in silico design. ''Cell Rep''. 2023 Jul 25; '''42''' (7):112711
Reaction Coordinates for Conformational Transitions Using Linear Discriminant Analysis on Positions. Description: Sasmal, Subarna, et al. Reaction Coordinates for Conformational Transitions Using Linear Discriminant Analysis on Positions. ''J Chem Theory Comput''. 2023 Jul 25; '''19''' (14):4427-4435
Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study. Description: Lolak, Sermkiat, et al. Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study. ''JMIR Cardio''. 2023 Jul 26; '''7''': e47736
Distinguishing Genetic Drift from Selection in Papillomavirus Evolution. Description: Burk, Robert D, et al. Distinguishing Genetic Drift from Selection in Papillomavirus Evolution. ''Viruses''. 2023 Jul 26; '''15''' (8):
The difference between 'placebo group' and 'placebo control': a case study in psychedelic microdosing. Description: Szigeti, Balazs, et al. The difference between 'placebo group' and 'placebo control': a case study in psychedelic microdosing. ''Sci Rep''. 2023 Jul 26; '''13''' (1):12107
Improving the Efficiency of Fan Coil Units in Hotel Buildings through Deep-Learning-Based Fault Detection. Description: Matetic, Iva, et al. Improving the Efficiency of Fan Coil Units in Hotel Buildings through Deep-Learning-Based Fault Detection. ''Sensors (Basel)''. 2023 Jul 27; '''23''' (15):
Machine-Learning Algorithms for Process Condition Data-Based Inclusion Prediction in Continuous-Casting Process: A Case Study. Description: Zhang, Yixiang, et al. Machine-Learning Algorithms for Process Condition Data-Based Inclusion Prediction in Continuous-Casting Process: A Case Study. ''Sensors (Basel)''. 2023 Jul 27; '''23''' (15):
Soil-MobiNet: A Convolutional Neural Network Model Base Soil Classification to Determine Soil Morphology and Its Geospatial Location. Description: Gyasi, Emmanuel Kwabena, et al. Soil-MobiNet: A Convolutional Neural Network Model Base Soil Classification to Determine Soil Morphology and Its Geospatial Location. ''Sensors (Basel)''. 2023 Jul 27; '''23''' (15):
Deploying synthetic coevolution and machine learning to engineer protein-protein interactions. Description: Yang, Aerin, et al. Deploying synthetic coevolution and machine learning to engineer protein-protein interactions. ''Science''. 2023 Jul 28; '''381''' (6656):eadh1720
Facial expression is a distinctive behavioural marker of pain processing in the brain. Description: Picard, Marie-Eve, et al. Facial expression is a distinctive behavioural marker of pain processing in the brain. ''bioRxiv''. 2023 Jul 28;
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens. Description: Charoenkwan, Phasit, et al. StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens. ''BMC Bioinformatics''. 2023 Jul 28; '''24''' (1):301
Contextual protein and antibody encodings from equivariant graph transformers. Description: Mahajan, Sai Pooja, et al. Contextual protein and antibody encodings from equivariant graph transformers. ''bioRxiv''. 2023 Jul 29;
SARS-CoV-2 Recombination and Coinfection Events Identified in Clinical Samples in Russia. Description: Chernyaeva, Ekaterina N, et al. SARS-CoV-2 Recombination and Coinfection Events Identified in Clinical Samples in Russia. ''Viruses''. 2023 Jul 30; '''15''' (8):
Efficient encoding of large antigenic spaces by epitope prioritization with Dolphyn. Description: Liebhoff, Anna-Maria, et al. Efficient encoding of large antigenic spaces by epitope prioritization with Dolphyn. ''bioRxiv''. 2023 Jul 31;
Phenotype-Specific Outcome and Treatment Response in Heart Failure with Preserved Ejection Fraction with Comorbid Hypertension and Diabetes: A 12-Month Multicentered Prospective Cohort Study. Description: Nguyen, Ngoc-Thanh-Van, et al. Phenotype-Specific Outcome and Treatment Response in Heart Failure with Preserved Ejection Fraction with Comorbid Hypertension and Diabetes: A 12-Month Multicentered Prospective Cohort Study. ''J Pers Med''. 2023 Jul 31; '''13''' (8):
Analysis of the cervical microbiome in women from the German national cervical cancer screening program. Description: Condic, Mateja, et al. Analysis of the cervical microbiome in women from the German national cervical cancer screening program. ''J Cancer Res Clin Oncol''. 2023 Aug; '''149''' (9):6489-6500
Antibody reliability influences observed mRNA-protein correlations in tumour samples. Description: Upadhya, Swathi Ramachandra, et al. Antibody reliability influences observed mRNA-protein correlations in tumour samples. ''Life Sci Alliance''. 2023 Aug; '''6''' (8):
A reinforcement learning model for AI-based decision support in skin cancer. Description: Barata, Catarina, et al. A reinforcement learning model for AI-based decision support in skin cancer. ''Nat Med''. 2023 Aug; '''29''' (8):1941-1946
A revolutionary acute subdural hematoma detection based on two-tiered artificial intelligence model. Description: Kaya, Ismail, et al. A revolutionary acute subdural hematoma detection based on two-tiered artificial intelligence model. ''Ulus Travma Acil Cerrahi Derg''. 2023 Aug; '''29''' (8):858-871
Bursting Dynamics Based on the Persistent Na(+) and Na(+)/K(+) Pump Currents: A Dynamic Clamp Approach. Description: Erazo-Toscano, Ricardo, et al. Bursting Dynamics Based on the Persistent Na(+) and Na(+)/K(+) Pump Currents: A Dynamic Clamp Approach. ''eNeuro''. 2023 Aug; '''10''' (8):
Characterization of an eye field-like state during optic vesicle organoid development. Description: Owen, Liusaidh J, et al. Characterization of an eye field-like state during optic vesicle organoid development. ''Development''. 2023 Aug 1; '''150''' (15):
Cortical involvement in essential tremor with and without rest tremor: a machine learning study. Description: Bianco, Maria Giovanna, et al. Cortical involvement in essential tremor with and without rest tremor: a machine learning study. ''J Neurol''. 2023 Aug; '''270''' (8):4004-4012
Detecting at-risk mental states for psychosis (ARMS) using machine learning ensembles and facial features. Description: Loch, Alexandre Andrade, et al. Detecting at-risk mental states for psychosis (ARMS) using machine learning ensembles and facial features. ''Schizophr Res''. 2023 Aug; '''258''': 45-52
Development and External Validation of a Machine Learning Model to Predict Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer. Description: Jung, Ji-Jung, et al. Development and External Validation of a Machine Learning Model to Predict Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer. ''J Breast Cancer''. 2023 Aug; '''26''' (4):353-362
Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer. Description: Ye, Zezhong, et al. Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer. ''JAMA Netw Open''. 2023 Aug 1; '''6''' (8):e2328280
Drug approval prediction based on the discrepancy in gene perturbation effects between cells and humans. Description: Park, Minhyuk, et al. Drug approval prediction based on the discrepancy in gene perturbation effects between cells and humans. ''EBioMedicine''. 2023 Aug; '''94''': 104705
Elucidation of genome-wide understudied proteins targeted by PROTAC-induced degradation using interpretable machine learning. Description: Xie, Li, et al. Elucidation of genome-wide understudied proteins targeted by PROTAC-induced degradation using interpretable machine learning. ''PLoS Comput Biol''. 2023 Aug; '''19''' (8):e1010974
Explainable SHAP-XGBoost models for in-hospital mortality after myocardial infarction. Description: Tarabanis, Constantine, et al. Explainable SHAP-XGBoost models for in-hospital mortality after myocardial infarction. ''Cardiovasc Digit Health J''. 2023 Aug; '''4''' (4):126-132
External Validation of a Machine Learning Model to Predict 6-Month Mortality for Patients With Advanced Solid Tumors. Description: Chalkidis, George, et al. External Validation of a Machine Learning Model to Predict 6-Month Mortality for Patients With Advanced Solid Tumors. ''JAMA Netw Open''. 2023 Aug 1; '''6''' (8):e2327193
Heterogeneity in the diagnosis and prognosis of ischemic stroke subtypes: 9-year follow-up of 22,000 cases in Chinese adults. Description: Chun, Matthew, et al. Heterogeneity in the diagnosis and prognosis of ischemic stroke subtypes: 9-year follow-up of 22,000 cases in Chinese adults. ''Int J Stroke''. 2023 Aug; '''18''' (7):847-855
Immune biomarkers associated with COVID-19 disease severity in an urban, hospitalized population. Description: Chambliss, Allison B, et al. Immune biomarkers associated with COVID-19 disease severity in an urban, hospitalized population. ''Pract Lab Med''. 2023 Aug; '''36''': e00323
Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality. Description: Zhou, Jie, et al. Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality. ''EBioMedicine''. 2023 Aug; '''94''': 104726
Investigating the human and nonobese diabetic mouse MHC class II immunopeptidome using protein language modeling. Description: Hartout, Philip, et al. Investigating the human and nonobese diabetic mouse MHC class II immunopeptidome using protein language modeling. ''Bioinformatics''. 2023 Aug 1; '''39''' (8):
Landscape of mSWI/SNF chromatin remodeling complex perturbations in neurodevelopmental disorders. Description: Valencia, Alfredo M, et al. Landscape of mSWI/SNF chromatin remodeling complex perturbations in neurodevelopmental disorders. ''Nat Genet''. 2023 Aug; '''55''' (8):1400-1412
Machine learning-based prediction of conversion coefficients for I-123 metaiodobenzylguanidine heart-to-mediastinum ratio. Description: Okuda, Koichi, et al. Machine learning-based prediction of conversion coefficients for I-123 metaiodobenzylguanidine heart-to-mediastinum ratio. ''J Nucl Cardiol''. 2023 Aug; '''30''' (4):1630-1641
Mega-scale experimental analysis of protein folding stability in biology and design. Description: Tsuboyama, Kotaro, et al. Mega-scale experimental analysis of protein folding stability in biology and design. ''Nature''. 2023 Aug; '''620''' (7973):434-444
Music can be reconstructed from human auditory cortex activity using nonlinear decoding models. Description: Bellier, Ludovic, et al. Music can be reconstructed from human auditory cortex activity using nonlinear decoding models. ''PLoS Biol''. 2023 Aug; '''21''' (8):e3002176
Pandemic vulnerability index of US cities: A hybrid knowledge-based and data-driven approach. Description: Rahman, Md Shahinoor, et al. Pandemic vulnerability index of US cities: A hybrid knowledge-based and data-driven approach. ''Sustain Cities Soc''. 2023 Aug; '''95''': 104570
Personalised lifestyle recommendations for type 2 diabetes: Design and simulation of a recommender system on UK Biobank Data. Description: Cavallo, Francesca Romana, et al. Personalised lifestyle recommendations for type 2 diabetes: Design and simulation of a recommender system on UK Biobank Data. ''PLOS Digit Health''. 2023 Aug; '''2''' (8):e0000333
PhosphoDisco: A Toolkit for Co-regulated Phosphorylation Module Discovery in Phosphoproteomic Data. Description: Schraink, Tobias, et al. PhosphoDisco: A Toolkit for Co-regulated Phosphorylation Module Discovery in Phosphoproteomic Data. ''Mol Cell Proteomics''. 2023 Aug; '''22''' (8):100596
Prediction of pathogenic single amino acid substitutions using molecular fragment descriptors. Description: Zadorozhny, Anton, et al. Prediction of pathogenic single amino acid substitutions using molecular fragment descriptors. ''Bioinformatics''. 2023 Aug 1; '''39''' (8):
Prehospital Early Warning Scores to Predict Mortality in Patients Using Ambulances. Description: Lindskou, Tim Alex, et al. Prehospital Early Warning Scores to Predict Mortality in Patients Using Ambulances. ''JAMA Netw Open''. 2023 Aug 1; '''6''' (8):e2328128
Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering. Description: Liu, Candace C, et al. Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering. ''Nat Commun''. 2023 Aug 1; '''14''' (1):4618
Screening Linear and Circular RNA Transcripts from Stress Granules. Description: Chen, Shuai, et al. Screening Linear and Circular RNA Transcripts from Stress Granules. ''Genomics Proteomics Bioinformatics''. 2023 Aug; '''21''' (4):886-893
Surgical polarimetric endoscopy for the detection of laryngeal cancer. Description: Qi, Ji, et al. Surgical polarimetric endoscopy for the detection of laryngeal cancer. ''Nat Biomed Eng''. 2023 Aug; '''7''' (8):971-985
The association of food ingredients in breakfast cereal products and fumonisins production: risks identification and predictions. Description: Purchase, Jan, et al. The association of food ingredients in breakfast cereal products and fumonisins production: risks identification and predictions. ''Mycotoxin Res''. 2023 Aug; '''39''' (3):165-175
The DNMT3A ADD domain is required for efficient de novo DNA methylation and maternal imprinting in mouse oocytes. Description: Uehara, Ryuji, et al. The DNMT3A ADD domain is required for efficient de novo DNA methylation and maternal imprinting in mouse oocytes. ''PLoS Genet''. 2023 Aug; '''19''' (8):e1010855
The Effect of the Peristimulus alpha Phase on Visual Perception through Real-Time Phase-Locked Stimulus Presentation. Description: Tseng, Chih-Hsin, et al. The Effect of the Peristimulus alpha Phase on Visual Perception through Real-Time Phase-Locked Stimulus Presentation. ''eNeuro''. 2023 Aug; '''10''' (8):
The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study. Description: Cheetham, Nathan J, et al. The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study. ''EClinicalMedicine''. 2023 Aug; '''62''': 102086
Time-Dependent Changes in Risk of Progression During Use of Bevacizumab for Ovarian Cancer. Description: Takamatsu, Shiro, et al. Time-Dependent Changes in Risk of Progression During Use of Bevacizumab for Ovarian Cancer. ''JAMA Netw Open''. 2023 Aug 1; '''6''' (8):e2326834
Machine learning-based models for predicting mortality and acute kidney injury in critical pulmonary embolism. Description: Wang, Geng, et al. Machine learning-based models for predicting mortality and acute kidney injury in critical pulmonary embolism. ''BMC Cardiovasc Disord''. 2023 Aug 2; '''23''' (1):385
Optimizing patient selection for primary prevention implantable cardioverter-defibrillator implantation: utilizing multimodal machine learning to assess risk of implantable cardioverter-defibrillator non-benefit. Description: Kolk, Maarten Z H, et al. Optimizing patient selection for primary prevention implantable cardioverter-defibrillator implantation: utilizing multimodal machine learning to assess risk of implantable cardioverter-defibrillator non-benefit. ''Europace''. 2023 Aug 2; '''25''' (9):
A leaf-level spectral library to support high-throughput plant phenotyping: predictive accuracy and model transfer. Description: Wijewardane, Nuwan K, et al. A leaf-level spectral library to support high-throughput plant phenotyping: predictive accuracy and model transfer. ''J Exp Bot''. 2023 Aug 3; '''74''' (14):4050-4062
Machine learning approaches that use clinical, laboratory, and electrocardiogram data enhance the prediction of obstructive coronary artery disease. Description: Lee, Hyun-Gyu, et al. Machine learning approaches that use clinical, laboratory, and electrocardiogram data enhance the prediction of obstructive coronary artery disease. ''Sci Rep''. 2023 Aug 3; '''13''' (1):12635
Physiological Signals and Affect as Predictors of Advertising Engagement. Description: Strle, Gregor, et al. Physiological Signals and Affect as Predictors of Advertising Engagement. ''Sensors (Basel)''. 2023 Aug 3; '''23''' (15):
Predicting BRAFV600E mutations in papillary thyroid carcinoma using six machine learning algorithms based on ultrasound elastography. Description: Agyekum, Enock Adjei, et al. Predicting BRAFV600E mutations in papillary thyroid carcinoma using six machine learning algorithms based on ultrasound elastography. ''Sci Rep''. 2023 Aug 3; '''13''' (1):12604
Analysis of the Correlation between Frontal Alpha Asymmetry of Electroencephalography and Short-Term Subjective Well-Being Changes. Description: Wutzl, Betty, et al. Analysis of the Correlation between Frontal Alpha Asymmetry of Electroencephalography and Short-Term Subjective Well-Being Changes. ''Sensors (Basel)''. 2023 Aug 7; '''23''' (15):
Improving the classification of cardinality phenotypes using collections. Description: Alghamdi, Sarah M, et al. Improving the classification of cardinality phenotypes using collections. ''J Biomed Semantics''. 2023 Aug 7; '''14''' (1):9
Minimization of the threshold voltage parameter of the co-doped ZnO doped liquid crystals by machine learning algorithms. Description: Onsal, Gulnur, et al. Minimization of the threshold voltage parameter of the co-doped ZnO doped liquid crystals by machine learning algorithms. ''Sci Rep''. 2023 Aug 7; '''13''' (1):12802
Angiopoietin-2 is associated with capillary leak and predicts complications after cardiac surgery. Description: Wollborn, Jakob, et al. Angiopoietin-2 is associated with capillary leak and predicts complications after cardiac surgery. ''Ann Intensive Care''. 2023 Aug 8; '''13''' (1):70
Osteoporosis screening using machine learning and electromagnetic waves. Description: Albuquerque, Gabriela A, et al. Osteoporosis screening using machine learning and electromagnetic waves. ''Sci Rep''. 2023 Aug 8; '''13''' (1):12865
SiteFerret: Beyond Simple Pocket Identification in Proteins. Description: Gagliardi, Luca, et al. SiteFerret: Beyond Simple Pocket Identification in Proteins. ''J Chem Theory Comput''. 2023 Aug 8; '''19''' (15):5242-5259
Cross-Layer Federated Learning for Lightweight IoT Intrusion Detection Systems. Description: Hajj, Suzan, et al. Cross-Layer Federated Learning for Lightweight IoT Intrusion Detection Systems. ''Sensors (Basel)''. 2023 Aug 9; '''23''' (16):
Machine-guided design of synthetic cell type-specific cis -regulatory elements. Description: Gosai, S J, et al. Machine-guided design of synthetic cell type-specific cis -regulatory elements. ''bioRxiv''. 2023 Aug 9;
Maternal-fetal outcomes in patients with immune mediated inflammatory diseases, with consideration of comorbidities: a retrospective cohort study in a large U.S. healthcare system. Description: Hwang, Yeon Mi, et al. Maternal-fetal outcomes in patients with immune mediated inflammatory diseases, with consideration of comorbidities: a retrospective cohort study in a large U.S. healthcare system. ''medRxiv''. 2023 Aug 9;
Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study. Description: Sarhaddi, Fatemeh, et al. Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study. ''JMIR Form Res''. 2023 Aug 9; '''7''': e47950
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China. Description: Shi, Ying, et al. Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China. ''BMC Med Inform Decis Mak''. 2023 Aug 10; '''23''' (1):156
Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintings. Description: Spee, Blanca T M, et al. Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintings. ''Sci Rep''. 2023 Aug 10; '''13''' (1):12966
Depth and direction effects in the prediction of static and shifted reaching goals from kinematics. Description: Bosco, A, et al. Depth and direction effects in the prediction of static and shifted reaching goals from kinematics. ''Sci Rep''. 2023 Aug 12; '''13''' (1):13115
SMetaS: A Sample Metadata Standardizer for Metabolomics. Description: Bremer, Parker Ladd, et al. SMetaS: A Sample Metadata Standardizer for Metabolomics. ''Metabolites''. 2023 Aug 12; '''13''' (8):
Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda's fitness landscape and enables speciation. Description: Doud, Michael B, et al. Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda's fitness landscape and enables speciation. ''bioRxiv''. 2023 Aug 14;
Hyperpolarized (13)C metabolic imaging detects long-lasting metabolic alterations following mild repetitive traumatic brain injury. Description: Chaumeil, Myriam, et al. Hyperpolarized (13)C metabolic imaging detects long-lasting metabolic alterations following mild repetitive traumatic brain injury. ''Res Sq''. 2023 Aug 14;
Molecular Dynamics and Machine Learning Give Insights on the Flexibility-Activity Relationships in Tyrosine Kinome. Description: Majumdar, Sarmistha, et al. Molecular Dynamics and Machine Learning Give Insights on the Flexibility-Activity Relationships in Tyrosine Kinome. ''J Chem Inf Model''. 2023 Aug 14; '''63''' (15):4814-4826
Ursodeoxycholic Acid Does Not Improve COVID-19 Outcome in Hospitalized Patients. Description: Colapietro, Francesca, et al. Ursodeoxycholic Acid Does Not Improve COVID-19 Outcome in Hospitalized Patients. ''Viruses''. 2023 Aug 14; '''15''' (8):
Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks. Description: Beizaee, Farzad, et al. Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks. ''Sci Rep''. 2023 Aug 15; '''13''' (1):13259
Hippocampal grading provides higher classification accuracy for those in the AD trajectory than hippocampal volume. Description: Morrison, Cassandra, et al. Hippocampal grading provides higher classification accuracy for those in the AD trajectory than hippocampal volume. ''Hum Brain Mapp''. 2023 Aug 15; '''44''' (12):4623-4633
RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease. Description: Zhang, Tianyu, et al. RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease. ''Cell Rep Med''. 2023 Aug 15; '''4''' (8):101131
Shining Light on Osteoarthritis: Spatially Offset Raman Spectroscopy as a Window into Cartilage Health. Description: Raj, Piyush, et al. Shining Light on Osteoarthritis: Spatially Offset Raman Spectroscopy as a Window into Cartilage Health. ''bioRxiv''. 2023 Aug 16;
A Comparative Analysis of Various Machine Learning Algorithms to Improve the Accuracy of HbA1c Estimation Using Wrist PPG Data. Description: Satter, Shama, et al. A Comparative Analysis of Various Machine Learning Algorithms to Improve the Accuracy of HbA1c Estimation Using Wrist PPG Data. ''Sensors (Basel)''. 2023 Aug 17; '''23''' (16):
Genetic characterisation of the Connemara pony and the Warmblood horse using a within-breed clustering approach. Description: Lindsay-McGee, Victoria, et al. Genetic characterisation of the Connemara pony and the Warmblood horse using a within-breed clustering approach. ''Genet Sel Evol''. 2023 Aug 17; '''55''' (1):60
Simple and Rapid Discrimination of Methicillin-Resistant Staphylococcus aureus Based on Gram Staining and Machine Vision. Description: Yu, Menghuan, et al. Simple and Rapid Discrimination of Methicillin-Resistant Staphylococcus aureus Based on Gram Staining and Machine Vision. ''Microbiol Spectr''. 2023 Aug 17; '''11''' (4):e0528222
Towards the automation of NIR spectroscopy to assess vineyard water status spatial-temporal variability from a ground moving vehicle. Description: Fernandez-Novales, Juan, et al. Towards the automation of NIR spectroscopy to assess vineyard water status spatial-temporal variability from a ground moving vehicle. ''Sci Rep''. 2023 Aug 17; '''13''' (1):13362
Transcriptional profiling of canine osteosarcoma identifies prognostic gene expression signatures with translational value for humans. Description: Mannheimer, Joshua D, et al. Transcriptional profiling of canine osteosarcoma identifies prognostic gene expression signatures with translational value for humans. ''Commun Biol''. 2023 Aug 17; '''6''' (1):856
Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study. Description: Liu, Jen-Hsuan, et al. Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study. ''J Med Internet Res''. 2023 Aug 18; '''25''': e47366
Familiarity modulated synapses model visual cortical circuit novelty responses. Description: Aitken, Kyle, et al. Familiarity modulated synapses model visual cortical circuit novelty responses. ''bioRxiv''. 2023 Aug 18;
iCLOTS: open-source, artificial intelligence-enabled software for analyses of blood cells in microfluidic and microscopy-based assays. Description: Fay, Meredith E, et al. iCLOTS: open-source, artificial intelligence-enabled software for analyses of blood cells in microfluidic and microscopy-based assays. ''Nat Commun''. 2023 Aug 18; '''14''' (1):5022
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. Description: Tadesse, Girmaw Abebe, et al. Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. ''NPJ Digit Med''. 2023 Aug 18; '''6''' (1):151
BinaRena: a dedicated interactive platform for human-guided exploration and binning of metagenomes. Description: Pavia, Michael J, et al. BinaRena: a dedicated interactive platform for human-guided exploration and binning of metagenomes. ''Microbiome''. 2023 Aug 19; '''11''' (1):186
Comparative genomics unveils extensive genomic variation between populations of Listeria species in natural and food-associated environments. Description: Liao, Jingqiu, et al. Comparative genomics unveils extensive genomic variation between populations of Listeria species in natural and food-associated environments. ''ISME Commun''. 2023 Aug 19; '''3''' (1):85
Health disparities in COVID-19: immune and vascular changes are linked to disease severity and persist in a high-risk population in Riverside County, California. Description: Bergersen, Kristina V, et al. Health disparities in COVID-19: immune and vascular changes are linked to disease severity and persist in a high-risk population in Riverside County, California. ''BMC Public Health''. 2023 Aug 19; '''23''' (1):1584
Mapping Human Tissues with Highly Multiplexed RNA in situ Hybridization. Description: Kalhor, Kian, et al. Mapping Human Tissues with Highly Multiplexed RNA in situ Hybridization. ''bioRxiv''. 2023 Aug 19;
Nutritional Description of Processed Foods with Fibre-Related Nutrition Claims in Spain: The BADALI Project. Description: Ropero, Ana B, et al. Nutritional Description of Processed Foods with Fibre-Related Nutrition Claims in Spain: The BADALI Project. ''Nutrients''. 2023 Aug 20; '''15''' (16):
Classifying Free Texts Into Predefined Sections Using AI in Regulatory Documents: A Case Study with Drug Labeling Documents. Description: Gray, Magnus, et al. Classifying Free Texts Into Predefined Sections Using AI in Regulatory Documents: A Case Study with Drug Labeling Documents. ''Chem Res Toxicol''. 2023 Aug 21; '''36''' (8):1290-1299
Generalizable links between symptoms of borderline personality disorder and functional connectivity. Description: Shafiei, Golia, et al. Generalizable links between symptoms of borderline personality disorder and functional connectivity. ''bioRxiv''. 2023 Aug 21;
Multi-resistant diarrheagenic Escherichia coli identified by FTIR and machine learning: a feasible strategy to improve the group classification. Description: Marangoni-Ghoreyshi, Yasmin Garcia, et al. Multi-resistant diarrheagenic Escherichia coli identified by FTIR and machine learning: a feasible strategy to improve the group classification. ''RSC Adv''. 2023 Aug 21; '''13''' (36):24909-24917
A machine learning approach for understanding the metabolomics response of children with autism spectrum disorder to medical cannabis treatment. Description: Quillet, Jean-Christophe, et al. A machine learning approach for understanding the metabolomics response of children with autism spectrum disorder to medical cannabis treatment. ''Sci Rep''. 2023 Aug 22; '''13''' (1):13022
Building a predictive model of low birth weight in low- and middle-income countries: a prospective cohort study. Description: Patterson, Jackie K, et al. Building a predictive model of low birth weight in low- and middle-income countries: a prospective cohort study. ''BMC Pregnancy Childbirth''. 2023 Aug 22; '''23''' (1):600
Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model. Description: Genze, Nikita, et al. Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model. ''Plant Methods''. 2023 Aug 22; '''19''' (1):87
Adversarial Attacks on Medical Image Classification. Description: Tsai, Min-Jen, et al. Adversarial Attacks on Medical Image Classification. ''Cancers (Basel)''. 2023 Aug 23; '''15''' (17):
A MRI-based radiomics model for predicting the response to anlotinb combined with temozolomide in recurrent malignant glioma patients. Description: Li, Yurong, et al. A MRI-based radiomics model for predicting the response to anlotinb combined with temozolomide in recurrent malignant glioma patients. ''Discov Oncol''. 2023 Aug 23; '''14''' (1):154
Partial gene suppression improves identification of cancer vulnerabilities when CRISPR-Cas9 knockout is pan-lethal. Description: Krill-Burger, J Michael, et al. Partial gene suppression improves identification of cancer vulnerabilities when CRISPR-Cas9 knockout is pan-lethal. ''Genome Biol''. 2023 Aug 23; '''24''' (1):192
Tropical leg lymphedema caused by podoconiosis is associated with increased colonisation by anaerobic bacteria. Description: Neidhofer, Claudio, et al. Tropical leg lymphedema caused by podoconiosis is associated with increased colonisation by anaerobic bacteria. ''Sci Rep''. 2023 Aug 23; '''13''' (1):13785
Using adversarial networks to extend brain computer interface decoding accuracy over time. Description: Ma, Xuan, et al. Using adversarial networks to extend brain computer interface decoding accuracy over time. ''Elife''. 2023 Aug 23; '''12''':
A novel hybrid model to predict concomitant diseases for Hashimoto's thyroiditis. Description: Atas, Pinar Karadayi. A novel hybrid model to predict concomitant diseases for Hashimoto's thyroiditis. ''BMC Bioinformatics''. 2023 Aug 24; '''24''' (1):319
Evaluation of convolutional neural networks for the detection of inter-breath-hold motion from a stack of cardiac short axis slice images. Description: Kim, Yoon-Chul, et al. Evaluation of convolutional neural networks for the detection of inter-breath-hold motion from a stack of cardiac short axis slice images. ''BMC Med Imaging''. 2023 Aug 24; '''23''' (1):113
Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia. Description: McFadden, Benjamin R, et al. Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia. ''BMC Infect Dis''. 2023 Aug 24; '''23''' (1):552
MArVD2: a machine learning enhanced tool to discriminate between archaeal and bacterial viruses in viral datasets. Description: Vik, Dean, et al. MArVD2: a machine learning enhanced tool to discriminate between archaeal and bacterial viruses in viral datasets. ''ISME Commun''. 2023 Aug 24; '''3''' (1):87
Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning. Description: Tak, Divyanshu, et al. Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning. ''medRxiv''. 2023 Aug 24;
Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning-Based Analysis. Description: Kang, Danbee, et al. Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning-Based Analysis. ''JMIR Public Health Surveill''. 2023 Aug 24; '''9''': e45212
Sensitivity of CNN image analysis to multifaceted measurements of neurite growth. Description: Vecchi, Joseph T, et al. Sensitivity of CNN image analysis to multifaceted measurements of neurite growth. ''BMC Bioinformatics''. 2023 Aug 24; '''24''' (1):320
Using network control theory to study the dynamics of the structural connectome. Description: Parkes, Linden, et al. Using network control theory to study the dynamics of the structural connectome. ''bioRxiv''. 2023 Aug 24;
Zero-shot visual reasoning through probabilistic analogical mapping. Description: Webb, Taylor, et al. Zero-shot visual reasoning through probabilistic analogical mapping. ''Nat Commun''. 2023 Aug 24; '''14''' (1):5144
Improving diagnosis of non-malarial fevers in Senegal: Borrelia and the contribution of tick-borne bacteria. Description: Levine, Zoe C, et al. Improving diagnosis of non-malarial fevers in Senegal: Borrelia and the contribution of tick-borne bacteria. ''medRxiv''. 2023 Aug 25;
SCA: recovering single-cell heterogeneity through information-based dimensionality reduction. Description: DeMeo, Benjamin, et al. SCA: recovering single-cell heterogeneity through information-based dimensionality reduction. ''Genome Biol''. 2023 Aug 25; '''24''' (1):195
Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging. Description: Zhang, Hua, et al. Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging. ''Nat Commun''. 2023 Aug 25; '''14''' (1):5185
Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort. Description: Orlichenko, Anton, et al. Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort. ''medRxiv''. 2023 Aug 25;
Study of the Total Antioxidant Capacity (TAC) in Native Cereal-Pulse Flours and the Influence of the Baking Process on TAC Using a Combined Bayesian and Support Vector Machine Modeling Approach. Description: Rico, Daniel, et al. Study of the Total Antioxidant Capacity (TAC) in Native Cereal-Pulse Flours and the Influence of the Baking Process on TAC Using a Combined Bayesian and Support Vector Machine Modeling Approach. ''Foods''. 2023 Aug 25; '''12''' (17):
Ultra-high density electrodes improve detection, yield, and cell type specificity of brain recordings. Description: Ye, Zhiwen, et al. Ultra-high density electrodes improve detection, yield, and cell type specificity of brain recordings. ''bioRxiv''. 2023 Aug 25;
Divergent Pairwise Epistasis in the Context of Unstable Membrane Protein Variants. Description: Chamness, Laura M, et al. Divergent Pairwise Epistasis in the Context of Unstable Membrane Protein Variants. ''bioRxiv''. 2023 Aug 26;
An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME. Description: Hussain, Iqram, et al. An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME. ''Sensors (Basel)''. 2023 Aug 27; '''23''' (17):
3DDPDs: describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors. Description: Gorostiola Gonzalez, Marina, et al. 3DDPDs: describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors. ''J Cheminform''. 2023 Aug 28; '''15''' (1):74
Building Block-Based Binding Predictions for DNA-Encoded Libraries. Description: Zhang, Chris, et al. Building Block-Based Binding Predictions for DNA-Encoded Libraries. ''J Chem Inf Model''. 2023 Aug 28; '''63''' (16):5120-5132
Discovery of novel JAK1 inhibitors through combining machine learning, structure-based pharmacophore modeling and bio-evaluation. Description: Wang, Zixiao, et al. Discovery of novel JAK1 inhibitors through combining machine learning, structure-based pharmacophore modeling and bio-evaluation. ''J Transl Med''. 2023 Aug 28; '''21''' (1):579
Image-based and machine learning-guided multiplexed serology test for SARS-CoV-2. Description: Pietiainen, Vilja, et al. Image-based and machine learning-guided multiplexed serology test for SARS-CoV-2. ''Cell Rep Methods''. 2023 Aug 28; '''3''' (8):100565
MRI-Based Surrogate Imaging Markers of Aggressiveness in Prostate Cancer: Development of a Machine Learning Model Based on Radiomic Features. Description: Dominguez, Ignacio, et al. MRI-Based Surrogate Imaging Markers of Aggressiveness in Prostate Cancer: Development of a Machine Learning Model Based on Radiomic Features. ''Diagnostics (Basel)''. 2023 Aug 28; '''13''' (17):
Patient Phenotyping for Atopic Dermatitis with Transformers and Machine Learning. Description: Wang, Andrew, et al. Patient Phenotyping for Atopic Dermatitis with Transformers and Machine Learning. ''medRxiv''. 2023 Aug 28;
Practical guidelines for the use of gradient boosting for molecular property prediction. Description: Boldini, Davide, et al. Practical guidelines for the use of gradient boosting for molecular property prediction. ''J Cheminform''. 2023 Aug 28; '''15''' (1):73
An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study. Description: Lee, Seungseok, et al. An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study. ''J Med Internet Res''. 2023 Aug 29; '''25''': e49283
A soil productivity system reveals most Brazilian agricultural lands are below their maximum potential. Description: Greschuk, Lucas T, et al. A soil productivity system reveals most Brazilian agricultural lands are below their maximum potential. ''Sci Rep''. 2023 Aug 29; '''13''' (1):14103
A systems vaccinology resource to develop and test computational models of immunity. Description: Shinde, Pramod, et al. A systems vaccinology resource to develop and test computational models of immunity. ''bioRxiv''. 2023 Aug 29;
Automated assessment of foot elevation in adults with hereditary spastic paraplegia using inertial measurements and machine learning. Description: Ollenschlager, Malte, et al. Automated assessment of foot elevation in adults with hereditary spastic paraplegia using inertial measurements and machine learning. ''Orphanet J Rare Dis''. 2023 Aug 29; '''18''' (1):249
Deep and fast label-free Dynamic Organellar Mapping. Description: Schessner, Julia P, et al. Deep and fast label-free Dynamic Organellar Mapping. ''Nat Commun''. 2023 Aug 29; '''14''' (1):5252
Heterogeneous SARS-CoV-2 kinetics due to variable timing and intensity of immune responses. Description: Owens, Katherine, et al. Heterogeneous SARS-CoV-2 kinetics due to variable timing and intensity of immune responses. ''medRxiv''. 2023 Aug 29;
Polyclonal lymphoid expansion drives paraneoplastic autoimmunity in neuroblastoma. Description: Rosenberg, Miriam I, et al. Polyclonal lymphoid expansion drives paraneoplastic autoimmunity in neuroblastoma. ''Cell Rep''. 2023 Aug 29; '''42''' (8):112879
An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson's disease. Description: Park, Chae Jung, et al. An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson's disease. ''NPJ Parkinsons Dis''. 2023 Aug 30; '''9''' (1):127
BCL7B, a SWI/SNF complex subunit, orchestrates cancer immunity and stemness. Description: Higuchi, Sayaka, et al. BCL7B, a SWI/SNF complex subunit, orchestrates cancer immunity and stemness. ''BMC Cancer''. 2023 Aug 30; '''23''' (1):811
Design and Implementation of an Atrial Fibrillation Detection Algorithm on the ARM Cortex-M4 Microcontroller. Description: Zylinski, Marek, et al. Design and Implementation of an Atrial Fibrillation Detection Algorithm on the ARM Cortex-M4 Microcontroller. ''Sensors (Basel)''. 2023 Aug 30; '''23''' (17):
Explainable Artificial Intelligence (XAI) for Deep Learning Based Medical Imaging Classification. Description: Ghnemat, Rawan, et al. Explainable Artificial Intelligence (XAI) for Deep Learning Based Medical Imaging Classification. ''J Imaging''. 2023 Aug 30; '''9''' (9):
Similarity-based pairing improves efficiency of siamese neural networks for regression tasks and uncertainty quantification. Description: Zhang, Yumeng, et al. Similarity-based pairing improves efficiency of siamese neural networks for regression tasks and uncertainty quantification. ''J Cheminform''. 2023 Aug 30; '''15''' (1):75
Gene-based microbiome representation enhances host phenotype classification. Description: Deschenes, Thomas, et al. Gene-based microbiome representation enhances host phenotype classification. ''mSystems''. 2023 Aug 31; '''8''' (4):e0053123
In Silico Modeling and Structural Analysis of Soluble Epoxide Hydrolase Inhibitors for Enhanced Therapeutic Design. Description: Sar, Shuvam, et al. In Silico Modeling and Structural Analysis of Soluble Epoxide Hydrolase Inhibitors for Enhanced Therapeutic Design. ''Molecules''. 2023 Aug 31; '''28''' (17):
Predicting variable gene content in Escherichia coli using conserved genes. Description: Nguyen, Marcus, et al. Predicting variable gene content in Escherichia coli using conserved genes. ''mSystems''. 2023 Aug 31; '''8''' (4):e0005823
Prediction of post-stroke cognitive impairment after acute ischemic stroke using machine learning. Description: Lee, Minwoo, et al. Prediction of post-stroke cognitive impairment after acute ischemic stroke using machine learning. ''Alzheimers Res Ther''. 2023 Aug 31; '''15''' (1):147
Accurate noise-robust classification of Bacillus species from MALDI-TOF MS spectra using a denoising autoencoder. Description: Uvarova, Yulia E, et al. Accurate noise-robust classification of Bacillus species from MALDI-TOF MS spectra using a denoising autoencoder. ''J Integr Bioinform''. 2023 Sep 1; '''20''' (3):
Acute Stress Modulates Social Approach and Social Maintenance in Adult Zebrafish. Description: Cook, Alexander, et al. Acute Stress Modulates Social Approach and Social Maintenance in Adult Zebrafish. ''eNeuro''. 2023 Sep; '''10''' (9):
A Hybrid Deep Learning Approach to Identify Preventable Childhood Hearing Loss. Description: Jin, Felix Q, et al. A Hybrid Deep Learning Approach to Identify Preventable Childhood Hearing Loss. ''Ear Hear''. 2023 Sep-Oct 01; '''44''' (5):1262-1270
An all-in-one nanoprinting approach for the synthesis of a nanofilm library for unclonable anti-counterfeiting applications. Description: Zhang, Junfang, et al. An all-in-one nanoprinting approach for the synthesis of a nanofilm library for unclonable anti-counterfeiting applications. ''Nat Nanotechnol''. 2023 Sep; '''18''' (9):1027-1035
Analysis of flow-induced transcriptional response and cell alignment of different sources of endothelial cells used in vascular tissue engineering. Description: Rojas-Gonzalez, Diana M, et al. Analysis of flow-induced transcriptional response and cell alignment of different sources of endothelial cells used in vascular tissue engineering. ''Sci Rep''. 2023 Sep 1; '''13''' (1):14384
A Radiomics-Based Model for Potentially More Accurate Identification of Subtypes of Breast Cancer Brain Metastases. Description: Cho, Seonghyeon, et al. A Radiomics-Based Model for Potentially More Accurate Identification of Subtypes of Breast Cancer Brain Metastases. ''Yonsei Med J''. 2023 Sep; '''64''' (9):573-580
Automatic Detection of Twitter Users Who Express Chronic Stress Experiences via Supervised Machine Learning and Natural Language Processing. Description: Yang, Yuan-Chi, et al. Automatic Detection of Twitter Users Who Express Chronic Stress Experiences via Supervised Machine Learning and Natural Language Processing. ''Comput Inform Nurs''. 2023 Sep 1; '''41''' (9):717-724
Can Natural Language Processing and Artificial Intelligence Automate The Generation of Billing Codes From Operative Note Dictations? Description: Kim, Jun S, et al. Can Natural Language Processing and Artificial Intelligence Automate The Generation of Billing Codes From Operative Note Dictations? ''Global Spine J''. 2023 Sep; '''13''' (7):1946-1955
Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomes. Description: Olafson, Emily R, et al. Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomes. ''bioRxiv''. 2023 Sep 1;
Discovering the mechanism of action of drugs with a sparse explainable network. Description: Sada Del Real, Katyna, et al. Discovering the mechanism of action of drugs with a sparse explainable network. ''EBioMedicine''. 2023 Sep; '''95''': 104767
Dual metformin and glucagon-like peptide-1 receptor agonist therapy reduces mortality and hepatic complications in cirrhotic patients with diabetes mellitus. Description: Huynh, Daniel J, et al. Dual metformin and glucagon-like peptide-1 receptor agonist therapy reduces mortality and hepatic complications in cirrhotic patients with diabetes mellitus. ''Ann Gastroenterol''. 2023 Sep-Oct; '''36''' (5):555-563
Dynamic nomogram for predicting acute kidney injury in patients with community-acquired pneumonia. Description: Chen, Dawei, et al. Dynamic nomogram for predicting acute kidney injury in patients with community-acquired pneumonia. ''BMJ Open Respir Res''. 2023 Sep; '''10''' (1):
Growth rate is a dominant factor predicting the rhizosphere effect. Description: Lopez, Jose L, et al. Growth rate is a dominant factor predicting the rhizosphere effect. ''ISME J''. 2023 Sep; '''17''' (9):1396-1405
Incorporating physics to overcome data scarcity in predictive modeling of protein function: A case study of BK channels. Description: Nordquist, Erik, et al. Incorporating physics to overcome data scarcity in predictive modeling of protein function: A case study of BK channels. ''PLoS Comput Biol''. 2023 Sep; '''19''' (9):e1011460
Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study. Description: Wu, Junqi, et al. Intestinal microbiota links to allograft stability after lung transplantation: a prospective cohort study. ''Signal Transduct Target Ther''. 2023 Sep 1; '''8''' (1):326
Limits to the accurate and generalizable use of soundscapes to monitor biodiversity. Description: Sethi, Sarab S, et al. Limits to the accurate and generalizable use of soundscapes to monitor biodiversity. ''Nat Ecol Evol''. 2023 Sep; '''7''' (9):1373-1378
Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics. Description: Zhan, Xianghao, et al. Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics. ''J Sport Health Sci''. 2023 Sep; '''12''' (5):619-629
Predicting the target landscape of kinase inhibitors using 3D convolutional neural networks. Description: Kanev, Georgi K, et al. Predicting the target landscape of kinase inhibitors using 3D convolutional neural networks. ''PLoS Comput Biol''. 2023 Sep; '''19''' (9):e1011301
Predictive modeling of antibiotic eradication therapy success for new-onset Pseudomonas aeruginosa pulmonary infections in children with cystic fibrosis. Description: Grana-Miraglia, Lucia, et al. Predictive modeling of antibiotic eradication therapy success for new-onset Pseudomonas aeruginosa pulmonary infections in children with cystic fibrosis. ''PLoS Comput Biol''. 2023 Sep; '''19''' (9):e1011424
Propagation of activity through the cortical hierarchy and perception are determined by neural variability. Description: Rowland, James M, et al. Propagation of activity through the cortical hierarchy and perception are determined by neural variability. ''Nat Neurosci''. 2023 Sep; '''26''' (9):1584-1594
RetroBioCat Database: A Platform for Collaborative Curation and Automated Meta-Analysis of Biocatalysis Data. Description: Finnigan, William, et al. RetroBioCat Database: A Platform for Collaborative Curation and Automated Meta-Analysis of Biocatalysis Data. ''ACS Catal''. 2023 Sep 1; '''13''' (17):11771-11780
The role of transcript regions and amino acid choice in nucleosome positioning. Description: Yadav, Manish, et al. The role of transcript regions and amino acid choice in nucleosome positioning. ''NAR Genom Bioinform''. 2023 Sep; '''5''' (3):lqad080
Thrombus imaging characteristics within acute ischemic stroke: similarities and interdependence. Description: Arrarte Terreros, Nerea, et al. Thrombus imaging characteristics within acute ischemic stroke: similarities and interdependence. ''J Neurointerv Surg''. 2023 Sep; '''15''' (e1):e60-e68
Understanding Intracellular Biology to Improve mRNA Delivery by Lipid Nanoparticles. Description: Hunter, Morag Rose, et al. Understanding Intracellular Biology to Improve mRNA Delivery by Lipid Nanoparticles. ''Small Methods''. 2023 Sep; '''7''' (9):e2201695
Using machine learning to standardize medication records in a pan-Canadian electronic medical record database: a data-driven algorithm study focused on antibiotics prescribed in primary care. Description: Garies, Stephanie, et al. Using machine learning to standardize medication records in a pan-Canadian electronic medical record database: a data-driven algorithm study focused on antibiotics prescribed in primary care. ''CMAJ Open''. 2023 Sep-Oct; '''11''' (5):E1020-E1024
Ionmob: a Python package for prediction of peptide collisional cross-section values. Description: Teschner, David, et al. Ionmob: a Python package for prediction of peptide collisional cross-section values. ''Bioinformatics''. 2023 Sep 2; '''39''' (9):
Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies. Description: Park, Jun Young, et al. Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies. ''Bioinformatics''. 2023 Sep 2; '''39''' (9):
Model-driven survival prediction after congenital heart surgery. Description: Zurn, Christoph, et al. Model-driven survival prediction after congenital heart surgery. ''Interdiscip Cardiovasc Thorac Surg''. 2023 Sep 2; '''37''' (3):
Prediction of base editor off-targets by deep learning. Description: Zhang, Chengdong, et al. Prediction of base editor off-targets by deep learning. ''Nat Commun''. 2023 Sep 2; '''14''' (1):5358
The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data. Description: Schuster, Viktoria, et al. The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data. ''Bioinformatics''. 2023 Sep 2; '''39''' (9):
Early Divergence and Gene Exchange Highways in the Evolutionary History of Mesoaciditogales. Description: Farrell, Anne A, et al. Early Divergence and Gene Exchange Highways in the Evolutionary History of Mesoaciditogales. ''Genome Biol Evol''. 2023 Sep 4; '''15''' (9):
Improving Prediction of Cervical Cancer Using KNN Imputed SMOTE Features and Multi-Model Ensemble Learning Approach. Description: Karamti, Hanen, et al. Improving Prediction of Cervical Cancer Using KNN Imputed SMOTE Features and Multi-Model Ensemble Learning Approach. ''Cancers (Basel)''. 2023 Sep 4; '''15''' (17):
Prediction of American Society of Anesthesiologists Physical Status Classification from preoperative clinical text narratives using natural language processing. Description: Chung, Philip, et al. Prediction of American Society of Anesthesiologists Physical Status Classification from preoperative clinical text narratives using natural language processing. ''BMC Anesthesiol''. 2023 Sep 4; '''23''' (1):296
Time Series Electrical Motor Drives Forecasting Based on Simulation Modeling and Bidirectional Long-Short Term Memory. Description: Le, Thi-Thu-Huong, et al. Time Series Electrical Motor Drives Forecasting Based on Simulation Modeling and Bidirectional Long-Short Term Memory. ''Sensors (Basel)''. 2023 Sep 4; '''23''' (17):
Ecological Momentary Assessment and Machine Learning for Predicting Suicidal Ideation Among Sexual and Gender Minority Individuals. Description: Lei, Chang, et al. Ecological Momentary Assessment and Machine Learning for Predicting Suicidal Ideation Among Sexual and Gender Minority Individuals. ''JAMA Netw Open''. 2023 Sep 5; '''6''' (9):e2333164
Foundation Models for Quantitative Biomarker Discovery in Cancer Imaging. Description: Pai, Suraj, et al. Foundation Models for Quantitative Biomarker Discovery in Cancer Imaging. ''medRxiv''. 2023 Sep 5;
LogD7.4 prediction enhanced by transferring knowledge from chromatographic retention time, microscopic pKa and logP. Description: Wang, Yitian, et al. LogD7.4 prediction enhanced by transferring knowledge from chromatographic retention time, microscopic pKa and logP. ''J Cheminform''. 2023 Sep 5; '''15''' (1):76
Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards. Description: Cho, Kyung-Jae, et al. Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards. ''Crit Care''. 2023 Sep 5; '''27''' (1):346
Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation. Description: Jin, Han, et al. Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation. ''Nat Commun''. 2023 Sep 5; '''14''' (1):5417
Rapid Estimation of Soil Pb Concentration Based on Spectral Feature Screening and Multi-Strategy Spectral Fusion. Description: Zhang, Zhenlong, et al. Rapid Estimation of Soil Pb Concentration Based on Spectral Feature Screening and Multi-Strategy Spectral Fusion. ''Sensors (Basel)''. 2023 Sep 6; '''23''' (18):
Task-dependent optimal representations for cerebellar learning. Description: Xie, Marjorie, et al. Task-dependent optimal representations for cerebellar learning. ''Elife''. 2023 Sep 6; '''12''':
Classification and regression model to manage the hospitalization for laparoscopic cholecystectomy. Description: Scala, Arianna, et al. Classification and regression model to manage the hospitalization for laparoscopic cholecystectomy. ''Sci Rep''. 2023 Sep 7; '''13''' (1):14700
Detection of diabetic patients in people with normal fasting glucose using machine learning. Description: Lv, Kun, et al. Detection of diabetic patients in people with normal fasting glucose using machine learning. ''BMC Med''. 2023 Sep 7; '''21''' (1):342
Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing. Description: Xie, Mingjuan, et al. Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing. ''Sci Data''. 2023 Sep 7; '''10''' (1):587
Sinus venosus adaptation models prolonged cardiovascular disease and reveals insights into evolutionary transitions of the vertebrate heart. Description: Gafranek, Jacob T, et al. Sinus venosus adaptation models prolonged cardiovascular disease and reveals insights into evolutionary transitions of the vertebrate heart. ''Nat Commun''. 2023 Sep 7; '''14''' (1):5509
Evaluation of the application of sequence data to the identification of outbreaks of disease using anomaly detection methods. Description: Diaz-Cao, Jose Manuel, et al. Evaluation of the application of sequence data to the identification of outbreaks of disease using anomaly detection methods. ''Vet Res''. 2023 Sep 8; '''54''' (1):75
Predicting COVID-19 prognosis in hospitalized patients based on early status. Description: Natanov, David, et al. Predicting COVID-19 prognosis in hospitalized patients based on early status. ''mBio''. 2023 Sep 8; '''14''' (5):e0150823
Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions. Description: Liyanagedera, Nalinda D, et al. Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions. ''Brain Inform''. 2023 Sep 9; '''10''' (1):24
Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm. Description: Popoola, Anjolaoluwa Ayomide, et al. Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm. ''BMC Med Inform Decis Mak''. 2023 Sep 9; '''23''' (1):178
Deep Learning Model for Tumor Type Prediction using Targeted Clinical Genomic Sequencing Data. Description: Darmofal, Madison, et al. Deep Learning Model for Tumor Type Prediction using Targeted Clinical Genomic Sequencing Data. ''medRxiv''. 2023 Sep 10;
Deep mutational scanning and machine learning uncover antimicrobial peptide features driving membrane selectivity. Description: Randall, Justin R, et al. Deep mutational scanning and machine learning uncover antimicrobial peptide features driving membrane selectivity. ''bioRxiv''. 2023 Sep 10;
Uncovering Predictive Factors and Interventions for Restoring Microecological Diversity after Antibiotic Disturbance. Description: Chen, Jing, et al. Uncovering Predictive Factors and Interventions for Restoring Microecological Diversity after Antibiotic Disturbance. ''Nutrients''. 2023 Sep 10; '''15''' (18):
Adapting physiologically-based pharmacokinetic models for machine learning applications. Description: Habiballah, Sohaib, et al. Adapting physiologically-based pharmacokinetic models for machine learning applications. ''Sci Rep''. 2023 Sep 11; '''13''' (1):14934
Automated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing. Description: Nargesi, Arash A, et al. Automated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing. ''medRxiv''. 2023 Sep 11;
Evaluating Scalable Supervised Learning for Synthesize-on-Demand Chemical Libraries. Description: Alnammi, Moayad, et al. Evaluating Scalable Supervised Learning for Synthesize-on-Demand Chemical Libraries. ''J Chem Inf Model''. 2023 Sep 11; '''63''' (17):5513-5528
Forecasting influenza hemagglutinin mutations through the lens of anomaly detection. Description: Garjani, Ali, et al. Forecasting influenza hemagglutinin mutations through the lens of anomaly detection. ''Sci Rep''. 2023 Sep 11; '''13''' (1):14944
Machine Learning Models to Interrogate Proteome-wide Cysteine Ligandabilities. Description: Liu, Ruibin, et al. Machine Learning Models to Interrogate Proteome-wide Cysteine Ligandabilities. ''bioRxiv''. 2023 Sep 11;
Multi-scale dynamic imaging reveals that cooperative motility behaviors promote efficient predation in bacteria. Description: Rombouts, Sara, et al. Multi-scale dynamic imaging reveals that cooperative motility behaviors promote efficient predation in bacteria. ''Nat Commun''. 2023 Sep 11; '''14''' (1):5588
Predicting Cardiovascular Disease Mortality: Leveraging Machine Learning for Comprehensive Assessment of Health and Nutrition Variables. Description: Martin-Morales, Agustin, et al. Predicting Cardiovascular Disease Mortality: Leveraging Machine Learning for Comprehensive Assessment of Health and Nutrition Variables. ''Nutrients''. 2023 Sep 11; '''15''' (18):
Sugarcane nitrogen nutrition estimation with digital images and machine learning methods. Description: You, Hui, et al. Sugarcane nitrogen nutrition estimation with digital images and machine learning methods. ''Sci Rep''. 2023 Sep 11; '''13''' (1):14939
Targeted curation of the gut microbial gene content modulating human cardiovascular disease. Description: Borton, Mikayla A, et al. Targeted curation of the gut microbial gene content modulating human cardiovascular disease. ''mBio''. 2023 Sep 11; '''14''' (5):e0151123
Unlocking the potential of microRNAs: machine learning identifies key biomarkers for myocardial infarction diagnosis. Description: Samadishadlou, Mehrdad, et al. Unlocking the potential of microRNAs: machine learning identifies key biomarkers for myocardial infarction diagnosis. ''Cardiovasc Diabetol''. 2023 Sep 11; '''22''' (1):247
Classification of Shredded Aluminium Scrap Metal Using Magnetic Induction Spectroscopy. Description: Williams, Kane C, et al. Classification of Shredded Aluminium Scrap Metal Using Magnetic Induction Spectroscopy. ''Sensors (Basel)''. 2023 Sep 12; '''23''' (18):
Fail-tests of DNA methylation clocks, and development of a noise barometer for measuring epigenetic pressure of aging and disease. Description: Mei, Xiaoyue, et al. Fail-tests of DNA methylation clocks, and development of a noise barometer for measuring epigenetic pressure of aging and disease. ''Aging (Albany NY)''. 2023 Sep 12; '''15''' (17):8552-8575
Predicting fungal secondary metabolite activity from biosynthetic gene cluster data using machine learning. Description: Riedling, Olivia, et al. Predicting fungal secondary metabolite activity from biosynthetic gene cluster data using machine learning. ''bioRxiv''. 2023 Sep 12;
Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features. Description: Wang, Si-Yuan, et al. Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features. ''BMC Cancer''. 2023 Sep 12; '''23''' (1):858
Distinct 3D contacts and phenotypic consequences of adjacent non-coding loci in the epigenetically quiescent regions. Description: Wu, Peiyao, et al. Distinct 3D contacts and phenotypic consequences of adjacent non-coding loci in the epigenetically quiescent regions. ''bioRxiv''. 2023 Sep 13;
Machine learning approaches for biomarker discovery to predict large-artery atherosclerosis. Description: Sun, Ting-Hsuan, et al. Machine learning approaches for biomarker discovery to predict large-artery atherosclerosis. ''Sci Rep''. 2023 Sep 13; '''13''' (1):15139
Poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) Bionanocomposites with Crystalline Nanocellulose and Graphene Oxide: Experimental Results and Support Vector Machine Modeling. Description: Champa-Bujaico, Elizabeth, et al. Poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) Bionanocomposites with Crystalline Nanocellulose and Graphene Oxide: Experimental Results and Support Vector Machine Modeling. ''Polymers (Basel)''. 2023 Sep 13; '''15''' (18):
Smarter Evolution: Enhancing Evolutionary Black Box Fuzzing with Adaptive Models. Description: Borcherding, Anne, et al. Smarter Evolution: Enhancing Evolutionary Black Box Fuzzing with Adaptive Models. ''Sensors (Basel)''. 2023 Sep 13; '''23''' (18):
DNA methylation profiling to determine the primary sites of metastatic cancers using formalin-fixed paraffin-embedded tissues. Description: Zhang, Shirong, et al. DNA methylation profiling to determine the primary sites of metastatic cancers using formalin-fixed paraffin-embedded tissues. ''Nat Commun''. 2023 Sep 14; '''14''' (1):5686
Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning. Description: Piccoli, Flavio, et al. Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning. ''Sensors (Basel)''. 2023 Sep 14; '''23''' (18):
Long-term changes in physical fitness components determining the motor performance of young people studying physiotherapy in 2001-2020. Description: Lewandowski, Andrzej, et al. Long-term changes in physical fitness components determining the motor performance of young people studying physiotherapy in 2001-2020. ''Sci Rep''. 2023 Sep 14; '''13''' (1):15246
Magnetization reversals in core-shell sphere clusters: finite-element micromagnetic simulation and machine learning analysis. Description: Park, Hyeon-Kyu, et al. Magnetization reversals in core-shell sphere clusters: finite-element micromagnetic simulation and machine learning analysis. ''Sci Rep''. 2023 Sep 14; '''13''' (1):15240
Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models. Description: Asiri, Abdullah A, et al. Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models. ''Sensors (Basel)''. 2023 Sep 15; '''23''' (18):
Analysis of the Response Signals of an Electronic Nose Sensor for Differentiation between Fusarium Species. Description: Borowik, Piotr, et al. Analysis of the Response Signals of an Electronic Nose Sensor for Differentiation between Fusarium Species. ''Sensors (Basel)''. 2023 Sep 15; '''23''' (18):
A spatially structured mathematical model of the gut microbiome reveals factors that increase community stability. Description: Shibasaki, Shota, et al. A spatially structured mathematical model of the gut microbiome reveals factors that increase community stability. ''iScience''. 2023 Sep 15; '''26''' (9):107499
Assessment of the Negative Impact of Urban Air Pollution on Population Health Using Machine Learning Method. Description: Temirbekov, Nurlan, et al. Assessment of the Negative Impact of Urban Air Pollution on Population Health Using Machine Learning Method. ''Int J Environ Res Public Health''. 2023 Sep 15; '''20''' (18):
Continual learning approaches for single cell RNA sequencing data. Description: Saygili, Gorkem, et al. Continual learning approaches for single cell RNA sequencing data. ''Sci Rep''. 2023 Sep 15; '''13''' (1):15286
Datasets Construction and Development of QSAR Models for Predicting Micronucleus In Vitro and In Vivo Assay Outcomes. Description: Khondkaryan, Lusine, et al. Datasets Construction and Development of QSAR Models for Predicting Micronucleus In Vitro and In Vivo Assay Outcomes. ''Toxics''. 2023 Sep 15; '''11''' (9):
First fully-automated AI/ML virtual screening cascade implemented at a drug discovery centre in Africa. Description: Turon, Gemma, et al. First fully-automated AI/ML virtual screening cascade implemented at a drug discovery centre in Africa. ''Nat Commun''. 2023 Sep 15; '''14''' (1):5736
Prediction of cancer treatment response from histopathology images through imputed transcriptomics. Description: Hoang, Danh-Tai, et al. Prediction of cancer treatment response from histopathology images through imputed transcriptomics. ''Res Sq''. 2023 Sep 15;
Predictive models for short-term mortality and length of hospital stay among adults with community-onset bacteraemia before and during the COVID-19 pandemic: application of early data dynamics. Description: Lee, Ching-Chi, et al. Predictive models for short-term mortality and length of hospital stay among adults with community-onset bacteraemia before and during the COVID-19 pandemic: application of early data dynamics. ''BMC Infect Dis''. 2023 Sep 15; '''23''' (1):605
Radiomics and deep learning models to differentiate lung adenosquamous carcinoma: A multicenter trial. Description: Chu, Xianjing, et al. Radiomics and deep learning models to differentiate lung adenosquamous carcinoma: A multicenter trial. ''iScience''. 2023 Sep 15; '''26''' (9):107634
Targeted Proteomic Quantitation of NRF2 Signaling and Predictive Biomarkers in HNSCC. Description: Wamsley, Nathan T, et al. Targeted Proteomic Quantitation of NRF2 Signaling and Predictive Biomarkers in HNSCC. ''Mol Cell Proteomics''. 2023 Sep 15; '''22''' (11):100647
A cross-cohort computational framework to trace tumor tissue-of-origin based on RNA sequencing. Description: He, Binsheng, et al. A cross-cohort computational framework to trace tumor tissue-of-origin based on RNA sequencing. ''Sci Rep''. 2023 Sep 16; '''13''' (1):15356
Efficient diagnosis of IDH-mutant gliomas: 1p/19qNET assesses 1p/19q codeletion status using weakly-supervised learning. Description: Kim, Gi Jeong, et al. Efficient diagnosis of IDH-mutant gliomas: 1p/19qNET assesses 1p/19q codeletion status using weakly-supervised learning. ''NPJ Precis Oncol''. 2023 Sep 16; '''7''' (1):94
Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning. Description: Wang, Jue, et al. Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning. ''Int J Health Geogr''. 2023 Sep 16; '''22''' (1):22
Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures. Description: Tran, Khoa A, et al. Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures. ''Nat Commun''. 2023 Sep 16; '''14''' (1):5758
Robust and scalable single-molecule protein sequencing with fluorosequencing. Description: Mapes, James H, et al. Robust and scalable single-molecule protein sequencing with fluorosequencing. ''bioRxiv''. 2023 Sep 16;
A Robust Triboelectric Impact Sensor with Carbon Dioxide Precursor-Based Calcium Carbonate Layer for Slap Match Application. Description: Kim, Inkyum, et al. A Robust Triboelectric Impact Sensor with Carbon Dioxide Precursor-Based Calcium Carbonate Layer for Slap Match Application. ''Micromachines (Basel)''. 2023 Sep 17; '''14''' (9):
Characterizing Bodyweight-Supported Treadmill Walking on Land and Underwater Using Foot-Worn Inertial Measurement Units and Machine Learning for Gait Event Detection. Description: Song, Seongmi, et al. Characterizing Bodyweight-Supported Treadmill Walking on Land and Underwater Using Foot-Worn Inertial Measurement Units and Machine Learning for Gait Event Detection. ''Sensors (Basel)''. 2023 Sep 17; '''23''' (18):
A Deep Learning-Based Model for Classifying Osteoporotic Lumbar Vertebral Fractures on Radiographs: A Retrospective Model Development and Validation Study. Description: Ono, Yohei, et al. A Deep Learning-Based Model for Classifying Osteoporotic Lumbar Vertebral Fractures on Radiographs: A Retrospective Model Development and Validation Study. ''J Imaging''. 2023 Sep 18; '''9''' (9):
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records. Description: Berge, Geir Thore, et al. Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records. ''BMC Med Inform Decis Mak''. 2023 Sep 18; '''23''' (1):188
Default mode network spatio-temporal electrophysiological signature and causal role in creativity. Description: Bartoli, E, et al. Default mode network spatio-temporal electrophysiological signature and causal role in creativity. ''bioRxiv''. 2023 Sep 18;
Federated Learning in Computational Toxicology: An Industrial Perspective on the Effiris Hackathon. Description: Bassani, Davide, et al. Federated Learning in Computational Toxicology: An Industrial Perspective on the Effiris Hackathon. ''Chem Res Toxicol''. 2023 Sep 18; '''36''' (9):1503-1517
Best imaging signs identified by radiomics could outperform the model: application to differentiating lung carcinoid tumors from atypical hamartomas. Description: Habert, Paul, et al. Best imaging signs identified by radiomics could outperform the model: application to differentiating lung carcinoid tumors from atypical hamartomas. ''Insights Imaging''. 2023 Sep 19; '''14''' (1):148
Functional connectome through the human life span. Description: Sun, Lianglong, et al. Functional connectome through the human life span. ''bioRxiv''. 2023 Sep 19;
Mixed, nonclassical behavior in a classic allosteric protein. Description: Sapienza, Paul J, et al. Mixed, nonclassical behavior in a classic allosteric protein. ''Proc Natl Acad Sci U S A''. 2023 Sep 19; '''120''' (38):e2308338120
Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. Description: Sikora, Andrea, et al. Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. ''Sci Rep''. 2023 Sep 20; '''13''' (1):15562
Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models. Description: Berezutskaya, Julia, et al. Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models. ''J Neural Eng''. 2023 Sep 20; '''20''' (5):
Early acquired resistance to EGFR-TKIs in lung adenocarcinomas before radiographic advanced identified by CT radiomic delta model based on two central studies. Description: Li, Xiumei, et al. Early acquired resistance to EGFR-TKIs in lung adenocarcinomas before radiographic advanced identified by CT radiomic delta model based on two central studies. ''Sci Rep''. 2023 Sep 20; '''13''' (1):15586
MpbPPI: a multi-task pre-training-based equivariant approach for the prediction of the effect of amino acid mutations on protein-protein interactions. Description: Yue, Yang, et al. MpbPPI: a multi-task pre-training-based equivariant approach for the prediction of the effect of amino acid mutations on protein-protein interactions. ''Brief Bioinform''. 2023 Sep 20; '''24''' (5):
NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signatures. Description: Martinez-Enguita, David, et al. NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signatures. ''Brief Bioinform''. 2023 Sep 20; '''24''' (5):
Accelerated discovery of multi-elemental reverse water-gas shift catalysts using extrapolative machine learning approach. Description: Wang, Gang, et al. Accelerated discovery of multi-elemental reverse water-gas shift catalysts using extrapolative machine learning approach. ''Nat Commun''. 2023 Sep 21; '''14''' (1):5861
Predicting the Risk of Sleep Disorders Using a Machine Learning-Based Simple Questionnaire: Development and Validation Study. Description: Ha, Seokmin, et al. Predicting the Risk of Sleep Disorders Using a Machine Learning-Based Simple Questionnaire: Development and Validation Study. ''J Med Internet Res''. 2023 Sep 21; '''25''': e46520
Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition. Description: Petrosius, Valdemaras, et al. Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition. ''Nat Commun''. 2023 Sep 22; '''14''' (1):5910
Identification of plant vacuole proteins by using graph neural network and contact maps. Description: Sui, Jianan, et al. Identification of plant vacuole proteins by using graph neural network and contact maps. ''BMC Bioinformatics''. 2023 Sep 22; '''24''' (1):357
MkcDBGAS: a reference-free approach to identify comprehensive alternative splicing events in a transcriptome. Description: Zhang, Quanbao, et al. MkcDBGAS: a reference-free approach to identify comprehensive alternative splicing events in a transcriptome. ''Brief Bioinform''. 2023 Sep 22; '''24''' (6):
Predicting global distributions of eukaryotic plankton communities from satellite data. Description: Kaneko, Hiroto, et al. Predicting global distributions of eukaryotic plankton communities from satellite data. ''ISME Commun''. 2023 Sep 22; '''3''' (1):101
Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques. Description: Vijithananda, Sahan M, et al. Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques. ''Sci Rep''. 2023 Sep 22; '''13''' (1):15772
Epitranscriptomic subtyping, visualization, and denoising by global motif visualization. Description: Liu, Jianheng, et al. Epitranscriptomic subtyping, visualization, and denoising by global motif visualization. ''Nat Commun''. 2023 Sep 23; '''14''' (1):5944
Environmental Factors Associated with Incidence and Distribution of V. parahaemolyticus and V. vulnificus in Chesapeake Bay, Maryland, USA: A three-year case study. Description: Gangwar, Mayank, et al. Environmental Factors Associated with Incidence and Distribution of V. parahaemolyticus and V. vulnificus in Chesapeake Bay, Maryland, USA: A three-year case study. ''bioRxiv''. 2023 Sep 25;
Inferring single-cell transcriptomic dynamics with structured latent gene expression dynamics. Description: Farrell, Spencer, et al. Inferring single-cell transcriptomic dynamics with structured latent gene expression dynamics. ''Cell Rep Methods''. 2023 Sep 25; '''3''' (9):100581
Meta-analysis reveals the vaginal microbiome is a better predictor of earlier than later preterm birth. Description: Huang, Caizhi, et al. Meta-analysis reveals the vaginal microbiome is a better predictor of earlier than later preterm birth. ''BMC Biol''. 2023 Sep 25; '''21''' (1):199
Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification. Description: Rauseo, Elisa, et al. Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification. ''Eur Heart J Cardiovasc Imaging''. 2023 Sep 26; '''24''' (10):1363-1373
Cluster Donation: How Future Healthcare Professionals Bound Certain Types of Tissues and Biomedical Research and How It Affects Their Willingness to Donate. Description: Domaradzki, Jan, et al. Cluster Donation: How Future Healthcare Professionals Bound Certain Types of Tissues and Biomedical Research and How It Affects Their Willingness to Donate. ''Healthcare (Basel)''. 2023 Sep 27; '''11''' (19):
Delta SARS-CoV-2 s2m Structure, Dynamics, and Entropy: Consequences of the G15U Mutation. Description: Makowski, Joseph A, et al. Delta SARS-CoV-2 s2m Structure, Dynamics, and Entropy: Consequences of the G15U Mutation. ''ACS Phys Chem Au''. 2023 Sep 27; '''3''' (5):434-443
Diagnostic accuracy of Automated Diabetic Retinopathy Image Assessment Softwares: IDx-DR and MediosAI. Description: Grzybowski, Andrzej, et al. Diagnostic accuracy of Automated Diabetic Retinopathy Image Assessment Softwares: IDx-DR and MediosAI. ''Ophthalmic Res''. 2023 Sep 27; '''66''' (1):1286-92
Neuroinflammation in a Mouse Model of Alzheimer's Disease versus Auditory Dysfunction: Machine Learning Interpretation and Analysis. Description: Na, Daxiang, et al. Neuroinflammation in a Mouse Model of Alzheimer's Disease versus Auditory Dysfunction: Machine Learning Interpretation and Analysis. ''Res Sq''. 2023 Sep 27;
A synthetic data set to benchmark anti-money laundering methods. Description: Jensen, Rasmus Ingemann Tuffveson, et al. A synthetic data set to benchmark anti-money laundering methods. ''Sci Data''. 2023 Sep 28; '''10''' (1):661
Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity. Description: Ravindra, Neal G, et al. Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity. ''NPJ Digit Med''. 2023 Sep 28; '''6''' (1):171
Fatty liver is associated with significant liver inflammation and increases the burden of advanced fibrosis in chronic HBV infection. Description: Dai, Yi-Ning, et al. Fatty liver is associated with significant liver inflammation and increases the burden of advanced fibrosis in chronic HBV infection. ''BMC Infect Dis''. 2023 Sep 28; '''23''' (1):637
scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration. Description: Li, Yunfan, et al. scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration. ''Nat Commun''. 2023 Sep 28; '''14''' (1):6045
Spacial Score horizontal line A Comprehensive Topological Indicator for Small-Molecule Complexity. Description: Krzyzanowski, Adrian, et al. Spacial Score horizontal line A Comprehensive Topological Indicator for Small-Molecule Complexity. ''J Med Chem''. 2023 Sep 28; '''66''' (18):12739-12750
Best practices for perturbation MPRA-a computational evaluation framework of sequence design strategies. Description: Liu, Jiayi, et al. Best practices for perturbation MPRA-a computational evaluation framework of sequence design strategies. ''bioRxiv''. 2023 Sep 29;
Compliance Prediction for Structural Topology Optimization on the Basis of Moment Invariants and a Generalized Regression Neural Network. Description: Zhao, Yunmei, et al. Compliance Prediction for Structural Topology Optimization on the Basis of Moment Invariants and a Generalized Regression Neural Network. ''Entropy (Basel)''. 2023 Sep 29; '''25''' (10):
Prediction differences and implications of acute kidney injury with and without urine output criteria in adult critically ill patients. Description: Wu, Lijuan, et al. Prediction differences and implications of acute kidney injury with and without urine output criteria in adult critically ill patients. ''Nephrol Dial Transplant''. 2023 Sep 29; '''38''' (10):2368-2378
The Role of ATP Hydrolysis and Product Release in the Translocation Mechanism of SARS-CoV-2 NSP13. Description: Lawal, Monsurat M, et al. The Role of ATP Hydrolysis and Product Release in the Translocation Mechanism of SARS-CoV-2 NSP13. ''bioRxiv''. 2023 Sep 29;
Blocked conversion of Lactobacillus johnsonii derived acetate to butyrate mediates copper-induced epithelial barrier damage in a pig model. Description: Wen, Yang, et al. Blocked conversion of Lactobacillus johnsonii derived acetate to butyrate mediates copper-induced epithelial barrier damage in a pig model. ''Microbiome''. 2023 Sep 30; '''11''' (1):218
Acute blood biomarker profiles predict cognitive deficits 6 and 12 months after COVID-19 hospitalization. Description: Taquet, Maxime, et al. Acute blood biomarker profiles predict cognitive deficits 6 and 12 months after COVID-19 hospitalization. ''Nat Med''. 2023 Oct; '''29''' (10):2498-2508
An integrated approach to the characterization of immune repertoires using AIMS: An Automated Immune Molecule Separator. Description: Boughter, Christopher T, et al. An integrated approach to the characterization of immune repertoires using AIMS: An Automated Immune Molecule Separator. ''PLoS Comput Biol''. 2023 Oct; '''19''' (10):e1011577
A systematic comparison of VBM pipelines and their application to age prediction. Description: Antonopoulos, Georgios, et al. A systematic comparison of VBM pipelines and their application to age prediction. ''Neuroimage''. 2023 Oct 1; '''279''': 120292
Comparison of different waste bin monitoring approaches: An exploratory study. Description: Brouwer, Yoeri, et al. Comparison of different waste bin monitoring approaches: An exploratory study. ''Waste Manag Res''. 2023 Oct; '''41''' (10):1570-1583
Comparison of radiomics models and dual-energy material decomposition to decipher abdominal lymphoma in contrast-enhanced CT. Description: Bernatz, Simon, et al. Comparison of radiomics models and dual-energy material decomposition to decipher abdominal lymphoma in contrast-enhanced CT. ''Int J Comput Assist Radiol Surg''. 2023 Oct; '''18''' (10):1829-1839
Development and Validation of Models to Predict Lymph Node Metastasis in Early Gastric Cancer Using Logistic Regression and Gradient Boosting Machine Methods. Description: Lee, Hae Dong, et al. Development and Validation of Models to Predict Lymph Node Metastasis in Early Gastric Cancer Using Logistic Regression and Gradient Boosting Machine Methods. ''Cancer Res Treat''. 2023 Oct; '''55''' (4):1240-1249
Diverging asymmetry of intrinsic functional organization in autism. Description: Wan, Bin, et al. Diverging asymmetry of intrinsic functional organization in autism. ''Mol Psychiatry''. 2023 Oct; '''28''' (10):4331-4341
Machine learning‑based radiomics models for prediction of locoregional recurrence in patients with breast cancer. Description: Lee, Joongyo, et al. Machine learning‑based radiomics models for prediction of locoregional recurrence in patients with breast cancer. ''Oncol Lett''. 2023 Oct; '''26''' (4):422
Machine learning modeling for identifying predictors of unmet need for family planning among married/in-union women in Ethiopia: Evidence from performance monitoring and accountability (PMA) survey 2019 dataset. Description: Kebede, Shimels Derso, et al. Machine learning modeling for identifying predictors of unmet need for family planning among married/in-union women in Ethiopia: Evidence from performance monitoring and accountability (PMA) survey 2019 dataset. ''PLOS Digit Health''. 2023 Oct; '''2''' (10):e0000345
Machine Learning Prediction for the Recurrence After Electrical Cardioversion of Patients With Persistent Atrial Fibrillation. Description: Kwon, Soonil, et al. Machine Learning Prediction for the Recurrence After Electrical Cardioversion of Patients With Persistent Atrial Fibrillation. ''Korean Circ J''. 2023 Oct; '''53''' (10):677-689
Nucleosome density shapes kilobase-scale regulation by a mammalian chromatin remodeler. Description: Abdulhay, Nour J, et al. Nucleosome density shapes kilobase-scale regulation by a mammalian chromatin remodeler. ''Nat Struct Mol Biol''. 2023 Oct; '''30''' (10):1571-1581
Predicting pleural invasion of invasive lung adenocarcinoma in the adjacent pleura by imaging histology. Description: Kong, Lingxin, et al. Predicting pleural invasion of invasive lung adenocarcinoma in the adjacent pleura by imaging histology. ''Oncol Lett''. 2023 Oct; '''26''' (4):438
Predicting regional somatic mutation rates using DNA motifs. Description: Liu, Cong, et al. Predicting regional somatic mutation rates using DNA motifs. ''PLoS Comput Biol''. 2023 Oct; '''19''' (10):e1011536
Prediction of prime editing insertion efficiencies using sequence features and DNA repair determinants. Description: Koeppel, Jonas, et al. Prediction of prime editing insertion efficiencies using sequence features and DNA repair determinants. ''Nat Biotechnol''. 2023 Oct; '''41''' (10):1446-1456
Quantitative Representativeness and Constituency of the Long-Term Agroecosystem Research Network and Analysis of Complementarity with Existing Ecological Networks. Description: Kumar, Jitendra, et al. Quantitative Representativeness and Constituency of the Long-Term Agroecosystem Research Network and Analysis of Complementarity with Existing Ecological Networks. ''Environ Manage''. 2023 Oct; '''72''' (4):705-726
Raman Spectroscopy and Machine Learning Enables Estimation of Articular Cartilage Structural, Compositional, and Functional Properties. Description: Shehata, Eslam, et al. Raman Spectroscopy and Machine Learning Enables Estimation of Articular Cartilage Structural, Compositional, and Functional Properties. ''Ann Biomed Eng''. 2023 Oct; '''51''' (10):2301-2312
Rapid automated 3-D pose estimation of larval zebrafish using a physical model-trained neural network. Description: Ravan, Aniket, et al. Rapid automated 3-D pose estimation of larval zebrafish using a physical model-trained neural network. ''PLoS Comput Biol''. 2023 Oct; '''19''' (10):e1011566
Role of radiomic analysis of [(18)F]fluoromethylcholine PET/CT in predicting biochemical recurrence in a cohort of intermediate and high risk prostate cancer patients at initial staging. Description: Marturano, Francesca, et al. Role of radiomic analysis of [(18)F]fluoromethylcholine PET/CT in predicting biochemical recurrence in a cohort of intermediate and high risk prostate cancer patients at initial staging. ''Eur Radiol''. 2023 Oct; '''33''' (10):7199-7208
Spatial atlas of the mouse central nervous system at molecular resolution. Description: Shi, Hailing, et al. Spatial atlas of the mouse central nervous system at molecular resolution. ''Nature''. 2023 Oct; '''622''' (7983):552-561
Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome. Description: Rosenberger, Florian A, et al. Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome. ''Nat Methods''. 2023 Oct; '''20''' (10):1530-1536
TACCO unifies annotation transfer and decomposition of cell identities for single-cell and spatial omics. Description: Mages, Simon, et al. TACCO unifies annotation transfer and decomposition of cell identities for single-cell and spatial omics. ''Nat Biotechnol''. 2023 Oct; '''41''' (10):1465-1473
Temperature sensitive contact modes allosterically gate TRPV3. Description: Burns, Daniel, et al. Temperature sensitive contact modes allosterically gate TRPV3. ''PLoS Comput Biol''. 2023 Oct; '''19''' (10):e1011545
The benefits and pitfalls of machine learning for biomarker discovery. Description: Ng, Sandra, et al. The benefits and pitfalls of machine learning for biomarker discovery. ''Cell Tissue Res''. 2023 Oct; '''394''' (1):17-31
The effect of well-known burn-related features on machine learning algorithms in burn patients' mortality prediction. Description: Yazici, Hilmi, et al. The effect of well-known burn-related features on machine learning algorithms in burn patients' mortality prediction. ''Ulus Travma Acil Cerrahi Derg''. 2023 Oct; '''29''' (10):1130-1137
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium. Description: Bruin, Willem B, et al. The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium. ''Mol Psychiatry''. 2023 Oct; '''28''' (10):4307-4319
Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models. Description: Kopanska, Karolina, et al. Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models. ''Arch Toxicol''. 2023 Oct; '''97''' (10):2721-2740
Uncovering new families and folds in the natural protein universe. Description: Durairaj, Janani, et al. Uncovering new families and folds in the natural protein universe. ''Nature''. 2023 Oct; '''622''' (7983):646-653
Visible and Near-Infrared Spectroscopy Enables Differentiation of Normal and Early Osteoarthritic Human Knee Joint Articular Cartilage. Description: Linus, Awuniji, et al. Visible and Near-Infrared Spectroscopy Enables Differentiation of Normal and Early Osteoarthritic Human Knee Joint Articular Cartilage. ''Ann Biomed Eng''. 2023 Oct; '''51''' (10):2245-2257
Automatic detection of spatio-temporal signaling patterns in cell collectives. Description: Gagliardi, Paolo Armando, et al. Automatic detection of spatio-temporal signaling patterns in cell collectives. ''J Cell Biol''. 2023 Oct 2; '''222''' (10):
Accelerating the prediction of CO(2) capture at low partial pressures in metal-organic frameworks using new machine learning descriptors. Description: Orhan, Ibrahim B, et al. Accelerating the prediction of CO(2) capture at low partial pressures in metal-organic frameworks using new machine learning descriptors. ''Commun Chem''. 2023 Oct 3; '''6''' (1):214
Distinctive features of the oropharyngeal microbiome in Inuit of Nunavik and correlations of mild to moderate bronchial obstruction with dysbiosis. Description: Flahaut, Mathilde, et al. Distinctive features of the oropharyngeal microbiome in Inuit of Nunavik and correlations of mild to moderate bronchial obstruction with dysbiosis. ''Sci Rep''. 2023 Oct 3; '''13''' (1):16622
Normative Percentiles of Retinal Nerve Fiber Layer Thickness and Glaucomatous Visual Field Loss. Description: Singh, Rishabh, et al. Normative Percentiles of Retinal Nerve Fiber Layer Thickness and Glaucomatous Visual Field Loss. ''Transl Vis Sci Technol''. 2023 Oct 3; '''12''' (10):13
A comprehensive study of SARS-CoV-2 main protease (M(pro)) inhibitor-resistant mutants selected in a VSV-based system. Description: Costacurta, Francesco, et al. A comprehensive study of SARS-CoV-2 main protease (M(pro)) inhibitor-resistant mutants selected in a VSV-based system. ''bioRxiv''. 2023 Oct 4;
Chance Favors the Prepared Genomes: Horizontal Transfer Shapes the Emergence of Antibiotic Resistance Mutations in Core Genes. Description: Coluzzi, Charles, et al. Chance Favors the Prepared Genomes: Horizontal Transfer Shapes the Emergence of Antibiotic Resistance Mutations in Core Genes. ''Mol Biol Evol''. 2023 Oct 4; '''40''' (10):
An angiopoietin 2, FGF23, and BMP10 biomarker signature differentiates atrial fibrillation from other concomitant cardiovascular conditions. Description: Chua, Winnie, et al. An angiopoietin 2, FGF23, and BMP10 biomarker signature differentiates atrial fibrillation from other concomitant cardiovascular conditions. ''Sci Rep''. 2023 Oct 5; '''13''' (1):16743
High-Dose Influenza Vaccine Is Associated With Reduced Mortality Among Older Adults With Breakthrough Influenza Even When There Is Poor Vaccine-Strain Match. Description: Chaves, Sandra S, et al. High-Dose Influenza Vaccine Is Associated With Reduced Mortality Among Older Adults With Breakthrough Influenza Even When There Is Poor Vaccine-Strain Match. ''Clin Infect Dis''. 2023 Oct 5; '''77''' (7):1032-1042
Data-Driven Optimization of DIA Mass Spectrometry by DO-MS. Description: Wallmann, Georg, et al. Data-Driven Optimization of DIA Mass Spectrometry by DO-MS. ''J Proteome Res''. 2023 Oct 6; '''22''' (10):3149-3158
Federated Learning for multi-omics: a performance evaluation in Parkinson's disease. Description: Danek, Benjamin, et al. Federated Learning for multi-omics: a performance evaluation in Parkinson's disease. ''bioRxiv''. 2023 Oct 6;
A personalized classification of behavioral severity of autism spectrum disorder using a comprehensive machine learning framework. Description: Ali, Mohamed T, et al. A personalized classification of behavioral severity of autism spectrum disorder using a comprehensive machine learning framework. ''Sci Rep''. 2023 Oct 9; '''13''' (1):17048
Brain network functional connectivity changes in patients with anterior knee pain: a resting-state fMRI exploratory study. Description: Sanchis-Alfonso, Vicente, et al. Brain network functional connectivity changes in patients with anterior knee pain: a resting-state fMRI exploratory study. ''Eur Radiol Exp''. 2023 Oct 9; '''7''' (1):60
Machine learning-based predictive modelling for the enhancement of wine quality. Description: Jain, Khushboo, et al. Machine learning-based predictive modelling for the enhancement of wine quality. ''Sci Rep''. 2023 Oct 9; '''13''' (1):17042
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy. Description: Kamel Rahimi, Amir, et al. Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy. ''BMC Med Inform Decis Mak''. 2023 Oct 9; '''23''' (1):207
Partner relationships, hopelessness, and health status strongly predict maternal well-being: an approach using light gradient boosting machine. Description: Ooba, Hikaru, et al. Partner relationships, hopelessness, and health status strongly predict maternal well-being: an approach using light gradient boosting machine. ''Sci Rep''. 2023 Oct 9; '''13''' (1):17032
A neural mechanism for learning from delayed postingestive feedback. Description: Zimmerman, Christopher A, et al. A neural mechanism for learning from delayed postingestive feedback. ''bioRxiv''. 2023 Oct 10;
Detecting medial patellar luxation with ensemble deep convolutional neural network based on a single rear view image of the hindlimb. Description: Jung, Juho, et al. Detecting medial patellar luxation with ensemble deep convolutional neural network based on a single rear view image of the hindlimb. ''Sci Rep''. 2023 Oct 10; '''13''' (1):17113
Machine learning model for the prediction of gram-positive and gram-negative bacterial bloodstream infection based on routine laboratory parameters. Description: Zhang, Fan, et al. Machine learning model for the prediction of gram-positive and gram-negative bacterial bloodstream infection based on routine laboratory parameters. ''BMC Infect Dis''. 2023 Oct 10; '''23''' (1):675
Mixed infections in genotypic drug-resistant Mycobacterium tuberculosis. Description: Wang, Linfeng, et al. Mixed infections in genotypic drug-resistant Mycobacterium tuberculosis. ''Sci Rep''. 2023 Oct 10; '''13''' (1):17100
Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network. Description: Hatano, Narumi, et al. Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network. ''BMC Bioinformatics''. 2023 Oct 10; '''24''' (1):383
Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence. Description: de Lacy, Nina, et al. Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence. ''Transl Psychiatry''. 2023 Oct 10; '''13''' (1):314
Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization. Description: Nguyen, Van Thien Chi, et al. Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization. ''Elife''. 2023 Oct 11; '''12''':
Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images. Description: Wang, Weiwei, et al. Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images. ''Nat Commun''. 2023 Oct 11; '''14''' (1):6359
Predicting maximum temperatures over India 10-days ahead using machine learning models. Description: Ratnam, J V, et al. Predicting maximum temperatures over India 10-days ahead using machine learning models. ''Sci Rep''. 2023 Oct 11; '''13''' (1):17208
Unsupervised machine learning method for indirect estimation of reference intervals for chronic kidney disease in the Puerto Rican population. Description: Velev, Julian, et al. Unsupervised machine learning method for indirect estimation of reference intervals for chronic kidney disease in the Puerto Rican population. ''Sci Rep''. 2023 Oct 11; '''13''' (1):17198
A single-cell multi-omic atlas spanning the adult rhesus macaque brain. Description: Chiou, Kenneth L, et al. A single-cell multi-omic atlas spanning the adult rhesus macaque brain. ''Sci Adv''. 2023 Oct 13; '''9''' (41):eadh1914
A systematic study of key elements underlying molecular property prediction. Description: Deng, Jianyuan, et al. A systematic study of key elements underlying molecular property prediction. ''Nat Commun''. 2023 Oct 13; '''14''' (1):6395
HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF). Description: Krishnan, Preethi, et al. HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF). ''Physiol Meas''. 2023 Oct 13; '''44''' (10):
Prediction of gestational diabetes mellitus using machine learning from birth cohort data of the Japan Environment and Children's Study. Description: Watanabe, Masahiro, et al. Prediction of gestational diabetes mellitus using machine learning from birth cohort data of the Japan Environment and Children's Study. ''Sci Rep''. 2023 Oct 13; '''13''' (1):17419
Retest variability and patient reliability indices of quantitative fundus autofluorescence in age-related macular degeneration: a MACUSTAR study report. Description: von der Emde, Leon, et al. Retest variability and patient reliability indices of quantitative fundus autofluorescence in age-related macular degeneration: a MACUSTAR study report. ''Sci Rep''. 2023 Oct 13; '''13''' (1):17417
The importance of planning CT-based imaging features for machine learning-based prediction of pain response. Description: Llorian-Salvador, Oscar, et al. The importance of planning CT-based imaging features for machine learning-based prediction of pain response. ''Sci Rep''. 2023 Oct 13; '''13''' (1):17427
Use and benefit of information, communication, and assistive technology among community-dwelling older adults - a cross-sectional study. Description: Fotteler, Marina L, et al. Use and benefit of information, communication, and assistive technology among community-dwelling older adults - a cross-sectional study. ''BMC Public Health''. 2023 Oct 13; '''23''' (1):2004
Improved prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma using pre-treatment CT radiomics. Description: Ritlumlert, Napat, et al. Improved prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma using pre-treatment CT radiomics. ''Sci Rep''. 2023 Oct 14; '''13''' (1):17437
Analysis of transcriptomic features reveals molecular endotypes of SLE with clinical implications. Description: Hubbard, Erika L, et al. Analysis of transcriptomic features reveals molecular endotypes of SLE with clinical implications. ''Genome Med''. 2023 Oct 16; '''15''' (1):84
Application of multiple-finding segmentation utilizing Mask R-CNN-based deep learning in a rat model of drug-induced liver injury. Description: Baek, Eun Bok, et al. Application of multiple-finding segmentation utilizing Mask R-CNN-based deep learning in a rat model of drug-induced liver injury. ''Sci Rep''. 2023 Oct 16; '''13''' (1):17555
Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics. Description: Xiao, Dao-Xiong, et al. Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics. ''BMC Med Imaging''. 2023 Oct 16; '''23''' (1):159
NODDI-derived measures of microstructural integrity in medial temporal lobe white matter pathways are associated with Alzheimer's disease pathology and cognitive outcomes. Description: Parker, Dana M, et al. NODDI-derived measures of microstructural integrity in medial temporal lobe white matter pathways are associated with Alzheimer's disease pathology and cognitive outcomes. ''bioRxiv''. 2023 Oct 16;
Psychometric Properties of a Machine Learning-Based Patient-Reported Outcome Measure on Medication Adherence: Single-Center, Cross-Sectional, Observational Study. Description: Korb-Savoldelli, Virginie, et al. Psychometric Properties of a Machine Learning-Based Patient-Reported Outcome Measure on Medication Adherence: Single-Center, Cross-Sectional, Observational Study. ''J Med Internet Res''. 2023 Oct 16; '''25''': e42384
A comparative study of machine learning algorithms for predicting domestic violence vulnerability in Liberian women. Description: Rahman, Riaz, et al. A comparative study of machine learning algorithms for predicting domestic violence vulnerability in Liberian women. ''BMC Womens Health''. 2023 Oct 17; '''23''' (1):542
Cerebral Spinal Fluid Volumetrics and Paralimbic Predictors of Executive Dysfunction in Congenital Heart Disease: A Machine Learning Approach Informing Mechanistic Insights. Description: Lee, Vince K, et al. Cerebral Spinal Fluid Volumetrics and Paralimbic Predictors of Executive Dysfunction in Congenital Heart Disease: A Machine Learning Approach Informing Mechanistic Insights. ''medRxiv''. 2023 Oct 17;
Expanded microbiome niches of RAG-deficient patients. Description: Blaustein, Ryan A, et al. Expanded microbiome niches of RAG-deficient patients. ''Cell Rep Med''. 2023 Oct 17; '''4''' (10):101205
Glutathione dynamics is a potential predictive and therapeutic trait for neoadjuvant chemotherapy response in bladder cancer. Description: Kim, YongHwan, et al. Glutathione dynamics is a potential predictive and therapeutic trait for neoadjuvant chemotherapy response in bladder cancer. ''Cell Rep Med''. 2023 Oct 17; '''4''' (10):101224
MesoGraph: Automatic profiling of mesothelioma subtypes from histological images. Description: Eastwood, Mark, et al. MesoGraph: Automatic profiling of mesothelioma subtypes from histological images. ''Cell Rep Med''. 2023 Oct 17; '''4''' (10):101226
MRI-based multivariate gray matter volumetric distance for predicting motor symptom progression in Parkinson's disease. Description: Vijayakumari, Anupa A, et al. MRI-based multivariate gray matter volumetric distance for predicting motor symptom progression in Parkinson's disease. ''Sci Rep''. 2023 Oct 17; '''13''' (1):17704
Remote inspection of adversary-controlled environments. Description: Tobisch, Johannes, et al. Remote inspection of adversary-controlled environments. ''Nat Commun''. 2023 Oct 17; '''14''' (1):6566
Signatures of cross-modal alignment in children's early concepts. Description: Aho, Kaarina, et al. Signatures of cross-modal alignment in children's early concepts. ''Proc Natl Acad Sci U S A''. 2023 Oct 17; '''120''' (42):e2309688120
Screening obstructive sleep apnea patients via deep learning of knowledge distillation in the lateral cephalogram. Description: Kim, Min-Jung, et al. Screening obstructive sleep apnea patients via deep learning of knowledge distillation in the lateral cephalogram. ''Sci Rep''. 2023 Oct 18; '''13''' (1):17788
Weakly supervised video-based cardiac detection for hypertensive cardiomyopathy. Description: Chen, Jiyun, et al. Weakly supervised video-based cardiac detection for hypertensive cardiomyopathy. ''BMC Med Imaging''. 2023 Oct 19; '''23''' (1):163
Four functional profiles for fibre and mucin metabolism in the human gut microbiome. Description: Labarthe, Simon, et al. Four functional profiles for fibre and mucin metabolism in the human gut microbiome. ''Microbiome''. 2023 Oct 20; '''11''' (1):231
Hatchability evaluation of bovine IVF embryos using OCT-based 3D image analysis. Description: Masuda, Yasumitsu, et al. Hatchability evaluation of bovine IVF embryos using OCT-based 3D image analysis. ''J Reprod Dev''. 2023 Oct 20; '''69''' (5):239-245
Multi-pass, single-molecule nanopore reading of long protein strands with single-amino acid sensitivity. Description: Motone, Keisuke, et al. Multi-pass, single-molecule nanopore reading of long protein strands with single-amino acid sensitivity. ''bioRxiv''. 2023 Oct 20;
NeurostimML: A machine learning model for predicting neurostimulation-induced tissue damage. Description: Li, Yi, et al. NeurostimML: A machine learning model for predicting neurostimulation-induced tissue damage. ''bioRxiv''. 2023 Oct 21;
A battery-less implantable glucose sensor based on electrical impedance spectroscopy. Description: Ollmar, Stig, et al. A battery-less implantable glucose sensor based on electrical impedance spectroscopy. ''Sci Rep''. 2023 Oct 23; '''13''' (1):18122
Dissecting signaling regulators driving AXL-mediated bypass resistance and associated phenotypes by phosphosite perturbations. Description: Creixell, Marc, et al. Dissecting signaling regulators driving AXL-mediated bypass resistance and associated phenotypes by phosphosite perturbations. ''bioRxiv''. 2023 Oct 23;
Domain adapted brain network fusion captures variance related to pubertal brain development and mental health. Description: Kraft, Dominik, et al. Domain adapted brain network fusion captures variance related to pubertal brain development and mental health. ''Nat Commun''. 2023 Oct 23; '''14''' (1):6698
Individualized treatment decision model for inoperable elderly esophageal squamous cell carcinoma based on multi-modal data fusion. Description: Huang, Yong, et al. Individualized treatment decision model for inoperable elderly esophageal squamous cell carcinoma based on multi-modal data fusion. ''BMC Med Inform Decis Mak''. 2023 Oct 23; '''23''' (1):237
Machine learning links T cell function and spatial localization to neoadjuvant immunotherapy and clinical outcome in pancreatic cancer. Description: Blise, Katie E, et al. Machine learning links T cell function and spatial localization to neoadjuvant immunotherapy and clinical outcome in pancreatic cancer. ''bioRxiv''. 2023 Oct 23;
Stimulation of soy seeds using environmentally friendly magnetic and electric fields. Description: Dziwulska-Hunek, Agata, et al. Stimulation of soy seeds using environmentally friendly magnetic and electric fields. ''Sci Rep''. 2023 Oct 23; '''13''' (1):18085
Swarm Smart Meta-Estimator for 2D/2D Heterostructure Design. Description: Botella, Romain, et al. Swarm Smart Meta-Estimator for 2D/2D Heterostructure Design. ''J Chem Inf Model''. 2023 Oct 23; '''63''' (20):6212-6223
Wearable sensor and machine learning estimate tendon load and walking speed during immobilizing boot ambulation. Description: Kwon, Michelle P, et al. Wearable sensor and machine learning estimate tendon load and walking speed during immobilizing boot ambulation. ''Sci Rep''. 2023 Oct 23; '''13''' (1):18086
Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders. Description: Rancati, Simone, et al. Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders. ''bioRxiv''. 2023 Oct 24;
Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer. Description: Crispin-Ortuzar, Mireia, et al. Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer. ''Nat Commun''. 2023 Oct 24; '''14''' (1):6756
Principal Component Analysis of Alternative Splicing Profiles Revealed by Long-Read ONT Sequencing in Human Liver Tissue and Hepatocyte-Derived HepG2 and Huh7 Cell Lines. Description: Sarygina, Elizaveta, et al. Principal Component Analysis of Alternative Splicing Profiles Revealed by Long-Read ONT Sequencing in Human Liver Tissue and Hepatocyte-Derived HepG2 and Huh7 Cell Lines. ''Int J Mol Sci''. 2023 Oct 24; '''24''' (21):
A Machine Learning Model Based on microRNAs for the Diagnosis of Essential Hypertension. Description: Jusic, Amela, et al. A Machine Learning Model Based on microRNAs for the Diagnosis of Essential Hypertension. ''Noncoding RNA''. 2023 Oct 25; '''9''' (6):
Comparing effectiveness of image perturbation and test retest imaging in improving radiomic model reliability. Description: Zhang, Jiang, et al. Comparing effectiveness of image perturbation and test retest imaging in improving radiomic model reliability. ''Sci Rep''. 2023 Oct 25; '''13''' (1):18263
Contaminants from dredged sediments alter the transcriptome of Manila clam and induce shifts in microbiota composition. Description: Bernardini, Ilaria, et al. Contaminants from dredged sediments alter the transcriptome of Manila clam and induce shifts in microbiota composition. ''BMC Biol''. 2023 Oct 25; '''21''' (1):234
Deep learning visual field global index prediction with optical coherence tomography parameters in glaucoma patients. Description: Kim, Dongbock, et al. Deep learning visual field global index prediction with optical coherence tomography parameters in glaucoma patients. ''Sci Rep''. 2023 Oct 25; '''13''' (1):18304
Land cover and forest health indicator datasets for central India using very-high resolution satellite data. Description: Khanwilkar, Sarika, et al. Land cover and forest health indicator datasets for central India using very-high resolution satellite data. ''Sci Data''. 2023 Oct 25; '''10''' (1):738
Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning. Description: Zhong, Xugang, et al. Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning. ''Sci Rep''. 2023 Oct 25; '''13''' (1):18301
Prediction of Radiation Treatment Response for Locally Advanced Rectal Cancer via a Longitudinal Trend Analysis Framework on Cone-Beam CT. Description: Li, Zirong, et al. Prediction of Radiation Treatment Response for Locally Advanced Rectal Cancer via a Longitudinal Trend Analysis Framework on Cone-Beam CT. ''Cancers (Basel)''. 2023 Oct 25; '''15''' (21):
Bayesian parametric models for survival prediction in medical applications. Description: Paolucci, Iwan, et al. Bayesian parametric models for survival prediction in medical applications. ''BMC Med Res Methodol''. 2023 Oct 26; '''23''' (1):250
Crystal Structures Reveal Hidden Domain Mechanics in Protein Kinase A (PKA). Description: Welsh, Colin L, et al. Crystal Structures Reveal Hidden Domain Mechanics in Protein Kinase A (PKA). ''Biology (Basel)''. 2023 Oct 26; '''12''' (11):
Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet. Description: Zhu, Haoran, et al. Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet. ''Nat Commun''. 2023 Oct 26; '''14''' (1):6824
Machine learning uncovers the Pseudomonas syringae transcriptome in microbial communities and during infection. Description: Bajpe, Heera, et al. Machine learning uncovers the Pseudomonas syringae transcriptome in microbial communities and during infection. ''mSystems''. 2023 Oct 26; '''8''' (5):e0043723
DeepDelta: predicting ADMET improvements of molecular derivatives with deep learning. Description: Fralish, Zachary, et al. DeepDelta: predicting ADMET improvements of molecular derivatives with deep learning. ''J Cheminform''. 2023 Oct 27; '''15''' (1):101
Early selection of task-relevant features through population gating. Description: Barbosa, Joao, et al. Early selection of task-relevant features through population gating. ''Nat Commun''. 2023 Oct 27; '''14''' (1):6837
Machine-Learning-Based Single-Molecule Quantification of Circulating MicroRNA Mixtures. Description: Jeffet, Jonathan, et al. Machine-Learning-Based Single-Molecule Quantification of Circulating MicroRNA Mixtures. ''ACS Sens''. 2023 Oct 27; '''8''' (10):3781-3792
Systematic analysis of paralogous regions in 41,755 exomes uncovers clinically relevant variation. Description: Steyaert, Wouter, et al. Systematic analysis of paralogous regions in 41,755 exomes uncovers clinically relevant variation. ''Nat Commun''. 2023 Oct 27; '''14''' (1):6845
Evaluation of diffuse reflectance spectroscopy for predicting age, species, and cuticular resistance of Anopheles gambiae s.l under laboratory conditions. Description: Pazmino-Betancourth, Mauro, et al. Evaluation of diffuse reflectance spectroscopy for predicting age, species, and cuticular resistance of Anopheles gambiae s.l under laboratory conditions. ''Sci Rep''. 2023 Oct 28; '''13''' (1):18499
Higher abundance of Campylobacter in the oral microbiome of Japanese patients with moyamoya disease. Description: Takayanagi, Kai, et al. Higher abundance of Campylobacter in the oral microbiome of Japanese patients with moyamoya disease. ''Sci Rep''. 2023 Oct 29; '''13''' (1):18545
Lipidome and metabolome analyses reveal metabolic alterations associated with MCF-7 apoptosis upon 4-hydroxytamoxifen treatment. Description: Nishimoto, Kazuki, et al. Lipidome and metabolome analyses reveal metabolic alterations associated with MCF-7 apoptosis upon 4-hydroxytamoxifen treatment. ''Sci Rep''. 2023 Oct 29; '''13''' (1):18549
CRISPR interference screens reveal growth-robustness tradeoffs in Synechocystis sp. PCC 6803 across growth conditions. Description: Miao, Rui, et al. CRISPR interference screens reveal growth-robustness tradeoffs in Synechocystis sp. PCC 6803 across growth conditions. ''Plant Cell''. 2023 Oct 30; '''35''' (11):3937-3956
Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain. Description: Huang, Xinyue, et al. Developmental prediction modeling based on diffusion tensor imaging uncovering age-dependent heterogeneity in early childhood autistic brain. ''Mol Autism''. 2023 Oct 30; '''14''' (1):41
Molecular Action of Tamoxifen in the Ovaries of Rats with Mammary Neoplasia. Description: Nynca, Anna, et al. Molecular Action of Tamoxifen in the Ovaries of Rats with Mammary Neoplasia. ''Int J Mol Sci''. 2023 Oct 30; '''24''' (21):
Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis. Description: Akesson, Julia, et al. Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis. ''Nat Commun''. 2023 Oct 30; '''14''' (1):6903
Automated machine learning and explainable AI (AutoML-XAI) for metabolomics: improving cancer diagnostics. Description: Bifarin, Olatomiwa O, et al. Automated machine learning and explainable AI (AutoML-XAI) for metabolomics: improving cancer diagnostics. ''bioRxiv''. 2023 Oct 31;
DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype-phenotype prediction. Description: Chandrashekar, Pramod Bharadwaj, et al. DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype-phenotype prediction. ''Genome Med''. 2023 Oct 31; '''15''' (1):88
DNA language models are powerful predictors of genome-wide variant effects. Description: Benegas, Gonzalo, et al. DNA language models are powerful predictors of genome-wide variant effects. ''Proc Natl Acad Sci U S A''. 2023 Oct 31; '''120''' (44):e2311219120
Machine Learning Analysis of Raman Spectra To Quantify the Organic Constituents in Complex Organic-Mineral Mixtures. Description: Zarei, Mahsa, et al. Machine Learning Analysis of Raman Spectra To Quantify the Organic Constituents in Complex Organic-Mineral Mixtures. ''Anal Chem''. 2023 Oct 31; '''95''' (43):15908-15916
Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data. Description: Shi, Ruijie, et al. Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data. ''Sci Rep''. 2023 Oct 31; '''13''' (1):18746
Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study. Description: Brandenburg, Johanna M, et al. Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study. ''Surg Endosc''. 2023 Nov; '''37''' (11):8577-8593
An artificial intelligence-assisted diagnosis modeling software (AIMS) platform based on medical images and machine learning: a development and validation study. Description: Zhou, Zhiyong, et al. An artificial intelligence-assisted diagnosis modeling software (AIMS) platform based on medical images and machine learning: a development and validation study. ''Quant Imaging Med Surg''. 2023 Nov 1; '''13''' (11):7504-7522
An explainable machine learning model for predicting the outcome of ischemic stroke after mechanical thrombectomy. Description: Yao, Zhelv, et al. An explainable machine learning model for predicting the outcome of ischemic stroke after mechanical thrombectomy. ''J Neurointerv Surg''. 2023 Nov; '''15''' (11):1136-1141
A Two-Stage Automatic System for Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms. Description: Wang, Xiaoyun, et al. A Two-Stage Automatic System for Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms. ''eNeuro''. 2023 Nov; '''10''' (11):
Combining seeded region growing and k-nearest neighbours for the segmentation of routinely acquired spatio-temporal image data. Description: Zerweck, Lukas, et al. Combining seeded region growing and k-nearest neighbours for the segmentation of routinely acquired spatio-temporal image data. ''Int J Comput Assist Radiol Surg''. 2023 Nov; '''18''' (11):2063-2072
Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits. Description: Ghosheh, Ghadeer O, et al. Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits. ''PLOS Digit Health''. 2023 Nov; '''2''' (11):e0000306
Differentiating between common PSP phenotypes using structural MRI: a machine learning study. Description: Quattrone, Andrea, et al. Differentiating between common PSP phenotypes using structural MRI: a machine learning study. ''J Neurol''. 2023 Nov; '''270''' (11):5502-5515
Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs across hundreds of fluconazole-resistant yeast strains. Description: Schmidlin, et al. Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs across hundreds of fluconazole-resistant yeast strains. ''bioRxiv''. 2023 Nov 1;
dsRID: in silico identification of dsRNA regions using long-read RNA-seq data. Description: Yamamoto, Ryo, et al. dsRID: in silico identification of dsRNA regions using long-read RNA-seq data. ''Bioinformatics''. 2023 Nov 1; '''39''' (11):
Emergence of putative energy parasites within Clostridia revealed by genome analysis of a novel endosymbiotic clade. Description: Takahashi, Kazuki, et al. Emergence of putative energy parasites within Clostridia revealed by genome analysis of a novel endosymbiotic clade. ''ISME J''. 2023 Nov; '''17''' (11):1895-1906
Error mitigation enables PET radiomic cancer characterization on quantum computers. Description: Moradi, S, et al. Error mitigation enables PET radiomic cancer characterization on quantum computers. ''Eur J Nucl Med Mol Imaging''. 2023 Nov; '''50''' (13):3826-3837
Fairness of Machine Learning Algorithms for Predicting Foregone Preventive Dental Care for Adults. Description: Schuch, Helena Silveira, et al. Fairness of Machine Learning Algorithms for Predicting Foregone Preventive Dental Care for Adults. ''JAMA Netw Open''. 2023 Nov 1; '''6''' (11):e2341625
Feasibility of a dietary intervention to modify gut microbial metabolism in patients with hematopoietic stem cell transplantation. Description: Riwes, Mary M, et al. Feasibility of a dietary intervention to modify gut microbial metabolism in patients with hematopoietic stem cell transplantation. ''Nat Med''. 2023 Nov; '''29''' (11):2805-2813
Incomplete activation of Alyref and Gabpb1 leads to preimplantation arrest in cloned mouse embryos. Description: Ihashi, Shunya, et al. Incomplete activation of Alyref and Gabpb1 leads to preimplantation arrest in cloned mouse embryos. ''Life Sci Alliance''. 2023 Nov; '''6''' (11):
Insights Into Korean Public Perspectives on Urology: Online News Data Analytics Through Latent Dirichlet Allocation Topic Modeling. Description: Oh, Young Wook, et al. Insights Into Korean Public Perspectives on Urology: Online News Data Analytics Through Latent Dirichlet Allocation Topic Modeling. ''Int Neurourol J''. 2023 Nov; '''27''' (Suppl 2):S91-98
Integration of Deep Learning and Sequential Metabolism to Rapidly Screen Dipeptidyl Peptidase (DPP)-IV Inhibitors from Gardenia jasminoides Ellis. Description: Liu, Huining, et al. Integration of Deep Learning and Sequential Metabolism to Rapidly Screen Dipeptidyl Peptidase (DPP)-IV Inhibitors from Gardenia jasminoides Ellis. ''Molecules''. 2023 Nov 1; '''28''' (21):
Medial temporal lobe functional network architecture supports sleep-related emotional memory processing in older adults. Description: Chappel-Farley, Miranda G, et al. Medial temporal lobe functional network architecture supports sleep-related emotional memory processing in older adults. ''bioRxiv''. 2023 Nov 1;
Molecular mechanisms of inorganic-phosphate release from the core and barbed end of actin filaments. Description: Oosterheert, Wout, et al. Molecular mechanisms of inorganic-phosphate release from the core and barbed end of actin filaments. ''Nat Struct Mol Biol''. 2023 Nov; '''30''' (11):1774-1785
Neural landscape diffusion resolves conflicts between needs across time. Description: Richman, Ethan B, et al. Neural landscape diffusion resolves conflicts between needs across time. ''Nature''. 2023 Nov; '''623''' (7987):571-579
OPUS-DSD: deep structural disentanglement for cryo-EM single-particle analysis. Description: Luo, Zhenwei, et al. OPUS-DSD: deep structural disentanglement for cryo-EM single-particle analysis. ''Nat Methods''. 2023 Nov; '''20''' (11):1729-1738
Overcoming chemotherapy resistance in low-grade gliomas: A computational approach. Description: Delobel, Thibault, et al. Overcoming chemotherapy resistance in low-grade gliomas: A computational approach. ''PLoS Comput Biol''. 2023 Nov; '''19''' (11):e1011208
Plasma metabolomics supports non-fasted sampling for metabolic profiling across a spectrum of glucose tolerance in the Nile rat model for type 2 diabetes. Description: Anderson, Benton J, et al. Plasma metabolomics supports non-fasted sampling for metabolic profiling across a spectrum of glucose tolerance in the Nile rat model for type 2 diabetes. ''Lab Anim (NY)''. 2023 Nov; '''52''' (11):269-277
PLM-ARG: antibiotic resistance gene identification using a pretrained protein language model. Description: Wu, Jun, et al. PLM-ARG: antibiotic resistance gene identification using a pretrained protein language model. ''Bioinformatics''. 2023 Nov 1; '''39''' (11):
Population-level integration of single-cell datasets enables multi-scale analysis across samples. Description: De Donno, Carlo, et al. Population-level integration of single-cell datasets enables multi-scale analysis across samples. ''Nat Methods''. 2023 Nov; '''20''' (11):1683-1692
Precise identification of cell states altered in disease using healthy single-cell references. Description: Dann, Emma, et al. Precise identification of cell states altered in disease using healthy single-cell references. ''Nat Genet''. 2023 Nov; '''55''' (11):1998-2008
Quality Control for Single Cell Analysis of High-plex Tissue Profiles using CyLinter. Description: Baker, Gregory J, et al. Quality Control for Single Cell Analysis of High-plex Tissue Profiles using CyLinter. ''bioRxiv''. 2023 Nov 1;
The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks. Description: Halvagal, Manu Srinath, et al. The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks. ''Nat Neurosci''. 2023 Nov; '''26''' (11):1906-1915
Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets. Description: Jiang, Jian, et al. Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets. ''Arch Toxicol''. 2023 Nov; '''97''' (11):2969-2981
Characteristics of amnestic patients with hypometabolism patterns suggestive of Lewy body pathology. Description: Silva-Rodriguez, Jesus, et al. Characteristics of amnestic patients with hypometabolism patterns suggestive of Lewy body pathology. ''Brain''. 2023 Nov 2; '''146''' (11):4520-4531
CT-based nomogram for early identification of T790M resistance in metastatic non-small cell lung cancer before first-line epidermal growth factor receptor-tyrosine kinase inhibitors therapy. Description: Li, Ye, et al. CT-based nomogram for early identification of T790M resistance in metastatic non-small cell lung cancer before first-line epidermal growth factor receptor-tyrosine kinase inhibitors therapy. ''Eur Radiol Exp''. 2023 Nov 2; '''7''' (1):64
Distinct Activation Mechanisms of CXCR4 and ACKR3 Revealed by Single-Molecule Analysis of their Conformational Landscapes. Description: Schafer, Christopher T, et al. Distinct Activation Mechanisms of CXCR4 and ACKR3 Revealed by Single-Molecule Analysis of their Conformational Landscapes. ''bioRxiv''. 2023 Nov 2;
Machine learning-based prediction model for emergency department visits using prescription information in community-dwelling non-cancer older adults. Description: Park, Soyoung, et al. Machine learning-based prediction model for emergency department visits using prescription information in community-dwelling non-cancer older adults. ''Sci Rep''. 2023 Nov 2; '''13''' (1):18887
Machine Learning Model for Leak Detection Using Water Pipeline Vibration Sensor. Description: Lee, Suan, et al. Machine Learning Model for Leak Detection Using Water Pipeline Vibration Sensor. ''Sensors (Basel)''. 2023 Nov 2; '''23''' (21):
Three-Dimensional Segmentation Assisted with Clustering Analysis for Surface and Volume Measurements of Equine Incisor in Multidetector Computed Tomography Data Sets. Description: Borowska, Marta, et al. Three-Dimensional Segmentation Assisted with Clustering Analysis for Surface and Volume Measurements of Equine Incisor in Multidetector Computed Tomography Data Sets. ''Sensors (Basel)''. 2023 Nov 2; '''23''' (21):
A Novel COVID-19 Diagnosis Approach Utilizing a Comprehensive Set of Diagnostic Information (CSDI). Description: Zhunissova, Ulzhalgas, et al. A Novel COVID-19 Diagnosis Approach Utilizing a Comprehensive Set of Diagnostic Information (CSDI). ''J Clin Med''. 2023 Nov 3; '''12''' (21):
Machine Learning and Radiomics of Bone Scintigraphy: Their Role in Predicting Recurrence of Localized or Locally Advanced Prostate Cancer. Description: Wang, Yu-De, et al. Machine Learning and Radiomics of Bone Scintigraphy: Their Role in Predicting Recurrence of Localized or Locally Advanced Prostate Cancer. ''Diagnostics (Basel)''. 2023 Nov 3; '''13''' (21):
Sentiments about Mental Health on Twitter-Before and during the COVID-19 Pandemic. Description: Beierle, Felix, et al. Sentiments about Mental Health on Twitter-Before and during the COVID-19 Pandemic. ''Healthcare (Basel)''. 2023 Nov 3; '''11''' (21):
Williams-Beuren syndrome shapes the gut microbiota metaproteome. Description: Marzano, Valeria, et al. Williams-Beuren syndrome shapes the gut microbiota metaproteome. ''Sci Rep''. 2023 Nov 3; '''13''' (1):18963
Deep neural network based tissue deconvolution of circulating tumor cell RNA. Description: Yan, Fengyao, et al. Deep neural network based tissue deconvolution of circulating tumor cell RNA. ''J Transl Med''. 2023 Nov 4; '''21''' (1):783
Metabolic dependencies of metastasis-initiating cells in female breast cancer. Description: Young, C Megan, et al. Metabolic dependencies of metastasis-initiating cells in female breast cancer. ''Nat Commun''. 2023 Nov 4; '''14''' (1):7076
Biology-aware mutation-based deep learning for outcome prediction of cancer immunotherapy with immune checkpoint inhibitors. Description: Liu, Junyan, et al. Biology-aware mutation-based deep learning for outcome prediction of cancer immunotherapy with immune checkpoint inhibitors. ''NPJ Precis Oncol''. 2023 Nov 6; '''7''' (1):117
Microbiome and metabolome features in inflammatory bowel disease via multi-omics integration analyses across cohorts. Description: Ning, Lijun, et al. Microbiome and metabolome features in inflammatory bowel disease via multi-omics integration analyses across cohorts. ''Nat Commun''. 2023 Nov 6; '''14''' (1):7135
Rat Deconvolution as Knowledge Miner for Immune Cell Trafficking from Toxicogenomics Databases. Description: Morita, Katsuhisa, et al. Rat Deconvolution as Knowledge Miner for Immune Cell Trafficking from Toxicogenomics Databases. ''Toxicol Sci''. 2023 Nov 6; '''197''' (2):121-31
Semantic segmentation of plant roots from RGB (mini-) rhizotron images-generalisation potential and false positives of established methods and advanced deep-learning models. Description: Baykalov, Pavel, et al. Semantic segmentation of plant roots from RGB (mini-) rhizotron images-generalisation potential and false positives of established methods and advanced deep-learning models. ''Plant Methods''. 2023 Nov 6; '''19''' (1):122
Transcriptional reprogramming by mutated IRF4 in lymphoma. Description: Schleussner, Nikolai, et al. Transcriptional reprogramming by mutated IRF4 in lymphoma. ''Nat Commun''. 2023 Nov 7; '''14''' (1):6947
A prognostic model for ovarian neoplasms established by an integrated analysis of 1580 transcriptomic profiles. Description: Hua, Yanjiao, et al. A prognostic model for ovarian neoplasms established by an integrated analysis of 1580 transcriptomic profiles. ''Sci Rep''. 2023 Nov 8; '''13''' (1):19429
Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer's disease in patients with mild cognitive symptoms. Description: Arvidsson, Ida, et al. Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer's disease in patients with mild cognitive symptoms. ''Res Sq''. 2023 Nov 8;
Determination of Metabolic Fluxes by Deep Learning of Isotope Labeling Patterns. Description: Law, Richard C, et al. Determination of Metabolic Fluxes by Deep Learning of Isotope Labeling Patterns. ''bioRxiv''. 2023 Nov 8;
Illuminating the Neural Landscape of Pilot Mental States: A Convolutional Neural Network Approach with Shapley Additive Explanations Interpretability. Description: Alreshidi, Ibrahim, et al. Illuminating the Neural Landscape of Pilot Mental States: A Convolutional Neural Network Approach with Shapley Additive Explanations Interpretability. ''Sensors (Basel)''. 2023 Nov 8; '''23''' (22):
replicAnt: a pipeline for generating annotated images of animals in complex environments using Unreal Engine. Description: Plum, Fabian, et al. replicAnt: a pipeline for generating annotated images of animals in complex environments using Unreal Engine. ''Nat Commun''. 2023 Nov 8; '''14''' (1):7195
Speos: an ensemble graph representation learning framework to predict core gene candidates for complex diseases. Description: Ratajczak, Florin, et al. Speos: an ensemble graph representation learning framework to predict core gene candidates for complex diseases. ''Nat Commun''. 2023 Nov 8; '''14''' (1):7206
Supervised Machine Learning Classifies Inflammatory Bowel Disease Patients by Subtype Using Whole Exome Sequencing Data. Description: Stafford, Imogen S, et al. Supervised Machine Learning Classifies Inflammatory Bowel Disease Patients by Subtype Using Whole Exome Sequencing Data. ''J Crohns Colitis''. 2023 Nov 8; '''17''' (10):1672-1680
Adenosine-induced splenic switch-off on [(15)O]H(2)O PET perfusion for the assessment of vascular vasodilatation. Description: Inkinen, Satu Irene, et al. Adenosine-induced splenic switch-off on [(15)O]H(2)O PET perfusion for the assessment of vascular vasodilatation. ''EJNMMI Res''. 2023 Nov 9; '''13''' (1):96
An AI Dietitian for Type 2 Diabetes Mellitus Management Based on Large Language and Image Recognition Models: Preclinical Concept Validation Study. Description: Sun, Haonan, et al. An AI Dietitian for Type 2 Diabetes Mellitus Management Based on Large Language and Image Recognition Models: Preclinical Concept Validation Study. ''J Med Internet Res''. 2023 Nov 9; '''25''': e51300
Enhancing antibody affinity through experimental sampling of non-deleterious CDR mutations predicted by machine learning. Description: Clark, Thomas, et al. Enhancing antibody affinity through experimental sampling of non-deleterious CDR mutations predicted by machine learning. ''Commun Chem''. 2023 Nov 9; '''6''' (1):244
Localization of early infarction on non-contrast CT images in acute ischemic stroke with deep learning approach. Description: Mohapatra, Sulagna, et al. Localization of early infarction on non-contrast CT images in acute ischemic stroke with deep learning approach. ''Sci Rep''. 2023 Nov 9; '''13''' (1):19442
Pulmonary abnormality screening on chest x-rays from different machine specifications: a generalized AI-based image manipulation pipeline. Description: Shin, Heejun, et al. Pulmonary abnormality screening on chest x-rays from different machine specifications: a generalized AI-based image manipulation pipeline. ''Eur Radiol Exp''. 2023 Nov 9; '''7''' (1):68
Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning. Description: Sledzieski, Samuel, et al. Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning. ''bioRxiv''. 2023 Nov 10;
Exploiting redundancy in large materials datasets for efficient machine learning with less data. Description: Li, Kangming, et al. Exploiting redundancy in large materials datasets for efficient machine learning with less data. ''Nat Commun''. 2023 Nov 10; '''14''' (1):7283
Novel machine-learning analysis of SARS-CoV-2 infection in a subclinical nonhuman primate model using radiomics and blood biomarkers. Description: Chu, Winston T, et al. Novel machine-learning analysis of SARS-CoV-2 infection in a subclinical nonhuman primate model using radiomics and blood biomarkers. ''Sci Rep''. 2023 Nov 10; '''13''' (1):19607
2D and 3D multiplexed subcellular profiling of nuclear instability in human cancer. Description: Coy, Shannon, et al. 2D and 3D multiplexed subcellular profiling of nuclear instability in human cancer. ''bioRxiv''. 2023 Nov 11;
Quantitative analysis of peroxisome tracks using a Hidden Markov Model. Description: Svensson, Carl-Magnus, et al. Quantitative analysis of peroxisome tracks using a Hidden Markov Model. ''Sci Rep''. 2023 Nov 11; '''13''' (1):19694
A Cre-dependent massively parallel reporter assay allows for cell-type specific assessment of the functional effects of non-coding elements in vivo. Description: Lagunas, Tomas Jr, et al. A Cre-dependent massively parallel reporter assay allows for cell-type specific assessment of the functional effects of non-coding elements in vivo. ''Commun Biol''. 2023 Nov 13; '''6''' (1):1151
Automated classification of giant virus genomes using a random forest model built on trademark protein families. Description: Ha, Anh D, et al. Automated classification of giant virus genomes using a random forest model built on trademark protein families. ''bioRxiv''. 2023 Nov 13;
Driving Environment Inference from POI of Navigation Map: Fuzzy Logic and Machine Learning Approaches. Description: Li, Yu, et al. Driving Environment Inference from POI of Navigation Map: Fuzzy Logic and Machine Learning Approaches. ''Sensors (Basel)''. 2023 Nov 13; '''23''' (22):
Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization. Description: Stoessel, Daniel, et al. Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization. ''BMC Med Inform Decis Mak''. 2023 Nov 13; '''23''' (1):259
Identifying relapse predictors in individual participant data with decision trees. Description: Bottcher, Lucas, et al. Identifying relapse predictors in individual participant data with decision trees. ''BMC Psychiatry''. 2023 Nov 13; '''23''' (1):835
Structure-Based Discovery of Mouse Trace Amine-Associated Receptor 5 Antagonists. Description: Nicoli, Alessandro, et al. Structure-Based Discovery of Mouse Trace Amine-Associated Receptor 5 Antagonists. ''J Chem Inf Model''. 2023 Nov 13; '''63''' (21):6667-6680
Charting Nanocluster Structures via Convolutional Neural Networks. Description: Telari, Emanuele, et al. Charting Nanocluster Structures via Convolutional Neural Networks. ''ACS Nano''. 2023 Nov 14; '''17''' (21):21287-21296
Functional annotation of enzyme-encoding genes using deep learning with transformer layers. Description: Kim, Gi Bae, et al. Functional annotation of enzyme-encoding genes using deep learning with transformer layers. ''Nat Commun''. 2023 Nov 14; '''14''' (1):7370
Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database. Description: Kim, Jinchul, et al. Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database. ''JMIR Form Res''. 2023 Nov 14; '''7''': e44763
NDVI as a potential tool for forecasting changes in geographical range of sycamore (Acer pseudoplatanus L.). Description: Konatowska, Monika, et al. NDVI as a potential tool for forecasting changes in geographical range of sycamore (Acer pseudoplatanus L.). ''Sci Rep''. 2023 Nov 14; '''13''' (1):19818
Predicting Thalassemia Using Feature Selection Techniques: A Comparative Analysis. Description: Saleem, Muniba, et al. Predicting Thalassemia Using Feature Selection Techniques: A Comparative Analysis. ''Diagnostics (Basel)''. 2023 Nov 14; '''13''' (22):
PTBP2 attenuation facilitates fibroblast to neuron conversion by promoting alternative splicing of neuronal genes. Description: Zhu, Binglin, et al. PTBP2 attenuation facilitates fibroblast to neuron conversion by promoting alternative splicing of neuronal genes. ''Stem Cell Reports''. 2023 Nov 14; '''18''' (11):2268-2282
The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models. Description: Jamil, Mutiullah, et al. The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models. ''Sci Rep''. 2023 Nov 14; '''13''' (1):19867
Accurate staging of chick embryonic tissues via deep learning of salient features. Description: Groves, Ian, et al. Accurate staging of chick embryonic tissues via deep learning of salient features. ''Development''. 2023 Nov 15; '''150''' (22):
Artificial Intelligence in the Prediction of Gastrointestinal Stromal Tumors on Endoscopic Ultrasonography Images: Development, Validation and Comparison with Endosonographers. Description: Lu, Yi, et al. Artificial Intelligence in the Prediction of Gastrointestinal Stromal Tumors on Endoscopic Ultrasonography Images: Development, Validation and Comparison with Endosonographers. ''Gut Liver''. 2023 Nov 15; '''17''' (6):874-883
Deep generative model deciphers derailed trajectories in acute myeloid leukemia. Description: Nazaret, Achille, et al. Deep generative model deciphers derailed trajectories in acute myeloid leukemia. ''bioRxiv''. 2023 Nov 15;
Deep learning of human polyadenylation sites at nucleotide resolution reveals molecular determinants of site usage and relevance in disease. Description: Stroup, Emily Kunce, et al. Deep learning of human polyadenylation sites at nucleotide resolution reveals molecular determinants of site usage and relevance in disease. ''Nat Commun''. 2023 Nov 15; '''14''' (1):7378
Development and Validation of Machine Learning-Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study. Description: Li, Le, et al. Development and Validation of Machine Learning-Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study. ''J Med Internet Res''. 2023 Nov 15; '''25''': e47664
Hippocampal firing fields anchored to a moving object predict homing direction during path-integration-based behavior. Description: Najafian Jazi, Maryam, et al. Hippocampal firing fields anchored to a moving object predict homing direction during path-integration-based behavior. ''Nat Commun''. 2023 Nov 15; '''14''' (1):7373
Single cell dynamics of tumor specificity vs bystander activity in CD8(+) T cells define the diverse immune landscapes in colorectal cancer. Description: Borras, Daniel Morales, et al. Single cell dynamics of tumor specificity vs bystander activity in CD8(+) T cells define the diverse immune landscapes in colorectal cancer. ''Cell Discov''. 2023 Nov 15; '''9''' (1):114
Tracking lake drainage events and drained lake basin vegetation dynamics across the Arctic. Description: Chen, Yating, et al. Tracking lake drainage events and drained lake basin vegetation dynamics across the Arctic. ''Nat Commun''. 2023 Nov 15; '''14''' (1):7359
Pan-cancer landscape of epigenetic factor expression predicts tumor outcome. Description: Cheng, Michael W, et al. Pan-cancer landscape of epigenetic factor expression predicts tumor outcome. ''Commun Biol''. 2023 Nov 16; '''6''' (1):1138
Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. Description: Li, Yue, et al. Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. ''Nat Commun''. 2023 Nov 16; '''14''' (1):7410
Virtually Possible: Enhancing Quality Control of 3D-Printed Medicines with Machine Vision Trained on Photorealistic Images. Description: Sun, Siyuan, et al. Virtually Possible: Enhancing Quality Control of 3D-Printed Medicines with Machine Vision Trained on Photorealistic Images. ''Pharmaceutics''. 2023 Nov 16; '''15''' (11):
Waveform-based classification of dentate spikes. Description: Santiago, Rodrigo M M, et al. Waveform-based classification of dentate spikes. ''bioRxiv''. 2023 Nov 16;
A Diet with Amikacin Changes the Bacteriobiome and the Physiological State of Galleria mellonella and Causes Its Resistance to Bacillus thuringiensis. Description: Polenogova, Olga V, et al. A Diet with Amikacin Changes the Bacteriobiome and the Physiological State of Galleria mellonella and Causes Its Resistance to Bacillus thuringiensis. ''Insects''. 2023 Nov 17; '''14''' (11):
Analysis of the relationship between urban dynamics and prevalence of remote work based on population data generated from cellular networks. Description: Akatsuka, Hiroto, et al. Analysis of the relationship between urban dynamics and prevalence of remote work based on population data generated from cellular networks. ''Sci Rep''. 2023 Nov 17; '''13''' (1):20139
Integrated multi-omics single cell atlas of the human retina. Description: Li, Jin, et al. Integrated multi-omics single cell atlas of the human retina. ''Res Sq''. 2023 Nov 17;
UAV-based individual Chinese cabbage weight prediction using multi-temporal data. Description: Aguilar-Ariza, Andres, et al. UAV-based individual Chinese cabbage weight prediction using multi-temporal data. ''Sci Rep''. 2023 Nov 17; '''13''' (1):20122
Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer's disease. Description: Sarica, Alessia, et al. Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer's disease. ''Brain Inform''. 2023 Nov 18; '''10''' (1):31
Genome-wide CRISPR off-target prediction and optimization using RNA-DNA interaction fingerprints. Description: Chen, Qinchang, et al. Genome-wide CRISPR off-target prediction and optimization using RNA-DNA interaction fingerprints. ''Nat Commun''. 2023 Nov 18; '''14''' (1):7521
Use of Sentinel-3 OLCI Images and Machine Learning to Assess the Ecological Quality of Italian Coastal Waters. Description: Lapucci, Chiara, et al. Use of Sentinel-3 OLCI Images and Machine Learning to Assess the Ecological Quality of Italian Coastal Waters. ''Sensors (Basel)''. 2023 Nov 18; '''23''' (22):
Differential interaction patterns of opioid analgesics with micro opioid receptors correlate with ligand-specific voltage sensitivity. Description: Kirchhofer, Sina B, et al. Differential interaction patterns of opioid analgesics with micro opioid receptors correlate with ligand-specific voltage sensitivity. ''Elife''. 2023 Nov 20; '''12''':
Machine learning-based approach for predicting low birth weight. Description: Ranjbar, Amene, et al. Machine learning-based approach for predicting low birth weight. ''BMC Pregnancy Childbirth''. 2023 Nov 20; '''23''' (1):803
MaLiAmPi enables generalizable and taxonomy-independent microbiome features from technically diverse 16S-based microbiome studies. Description: Minot, Samuel S, et al. MaLiAmPi enables generalizable and taxonomy-independent microbiome features from technically diverse 16S-based microbiome studies. ''Cell Rep Methods''. 2023 Nov 20; '''3''' (11):100639
Assessing the value of integrating national longitudinal shopping data into respiratory disease forecasting models. Description: Dolan, Elizabeth, et al. Assessing the value of integrating national longitudinal shopping data into respiratory disease forecasting models. ''Nat Commun''. 2023 Nov 21; '''14''' (1):7258
Binding of small molecule inhibitors to RNA polymerase-Spt5 complex impacts RNA and DNA stability. Description: Gallardo, Adan, et al. Binding of small molecule inhibitors to RNA polymerase-Spt5 complex impacts RNA and DNA stability. ''J Comput Aided Mol Des''. 2023 Nov 21; '''38''' (1):1
Fast and efficient root phenotyping via pose estimation. Description: Berrigan, Elizabeth M, et al. Fast and efficient root phenotyping via pose estimation. ''bioRxiv''. 2023 Nov 21;
Machine learning pre-hospital real-time cardiac arrest outcome prediction (PReCAP) using time-adaptive cohort model based on the Pan-Asian Resuscitation Outcome Study. Description: Chang, Hansol, et al. Machine learning pre-hospital real-time cardiac arrest outcome prediction (PReCAP) using time-adaptive cohort model based on the Pan-Asian Resuscitation Outcome Study. ''Sci Rep''. 2023 Nov 21; '''13''' (1):20344
On the difficulty of validating molecular generative models realistically: a case study on public and proprietary data. Description: Handa, Koichi, et al. On the difficulty of validating molecular generative models realistically: a case study on public and proprietary data. ''J Cheminform''. 2023 Nov 21; '''15''' (1):112
ChromaFactor: deconvolution of single-molecule chromatin organization with non-negative matrix factorization. Description: Gunsalus, Laura M, et al. ChromaFactor: deconvolution of single-molecule chromatin organization with non-negative matrix factorization. ''bioRxiv''. 2023 Nov 22;
FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence. Description: Dong, Jie, et al. FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence. ''Brief Bioinform''. 2023 Nov 22; '''25''' (1):
High-resolution temporal profiling of E. coli transcriptional response. Description: Miano, Arianna, et al. High-resolution temporal profiling of E. coli transcriptional response. ''Nat Commun''. 2023 Nov 22; '''14''' (1):7606
Identify gestational diabetes mellitus by deep learning model from cell-free DNA at the early gestation stage. Description: Wang, Yipeng, et al. Identify gestational diabetes mellitus by deep learning model from cell-free DNA at the early gestation stage. ''Brief Bioinform''. 2023 Nov 22; '''25''' (1):
SPACEL: deep learning-based characterization of spatial transcriptome architectures. Description: Xu, Hao, et al. SPACEL: deep learning-based characterization of spatial transcriptome architectures. ''Nat Commun''. 2023 Nov 22; '''14''' (1):7603
VirusHound-I: prediction of viral proteins involved in the evasion of host adaptive immune response using the random forest algorithm and generative adversarial network for data augmentation. Description: Beltran, Jorge F, et al. VirusHound-I: prediction of viral proteins involved in the evasion of host adaptive immune response using the random forest algorithm and generative adversarial network for data augmentation. ''Brief Bioinform''. 2023 Nov 22; '''25''' (1):
Comparison between vision transformers and convolutional neural networks to predict non-small lung cancer recurrence. Description: Fanizzi, Annarita, et al. Comparison between vision transformers and convolutional neural networks to predict non-small lung cancer recurrence. ''Sci Rep''. 2023 Nov 23; '''13''' (1):20605
Computer-aided diagnosis of keratoconus through VAE-augmented images using deep learning. Description: Agharezaei, Zhila, et al. Computer-aided diagnosis of keratoconus through VAE-augmented images using deep learning. ''Sci Rep''. 2023 Nov 23; '''13''' (1):20586
Genomic evidence that microbial carbon degradation is dominated by iron redox metabolism in thawing permafrost. Description: Romanowicz, Karl J, et al. Genomic evidence that microbial carbon degradation is dominated by iron redox metabolism in thawing permafrost. ''ISME Commun''. 2023 Nov 23; '''3''' (1):124
Extended Analysis of Raman Spectra Using Artificial Intelligence Techniques for Colorectal Abnormality Classification. Description: Kalatzis, Dimitris, et al. Extended Analysis of Raman Spectra Using Artificial Intelligence Techniques for Colorectal Abnormality Classification. ''J Imaging''. 2023 Nov 24; '''9''' (12):
Global pathogenomic analysis identifies known and candidate genetic antimicrobial resistance determinants in twelve species. Description: Hyun, Jason C, et al. Global pathogenomic analysis identifies known and candidate genetic antimicrobial resistance determinants in twelve species. ''Nat Commun''. 2023 Nov 24; '''14''' (1):7690
Intensive antibiotic treatment of sows with parenteral crystalline ceftiofur and tulathromycin alters the composition of the nasal microbiota of their offspring. Description: Bonillo-Lopez, Laura, et al. Intensive antibiotic treatment of sows with parenteral crystalline ceftiofur and tulathromycin alters the composition of the nasal microbiota of their offspring. ''Vet Res''. 2023 Nov 24; '''54''' (1):112
Paired single-cell multi-omics data integration with Mowgli. Description: Huizing, Geert-Jan, et al. Paired single-cell multi-omics data integration with Mowgli. ''Nat Commun''. 2023 Nov 24; '''14''' (1):7711
Effect of data harmonization of multicentric dataset in ASD/TD classification. Description: Serra, Giacomo, et al. Effect of data harmonization of multicentric dataset in ASD/TD classification. ''Brain Inform''. 2023 Nov 25; '''10''' (1):32
epDevAtlas: Mapping GABAergic cells and microglia in postnatal mouse brains. Description: Liwang, Josephine K, et al. epDevAtlas: Mapping GABAergic cells and microglia in postnatal mouse brains. ''bioRxiv''. 2023 Nov 25;
Cross-species and tissue imputation of species-level DNA methylation samples across mammalian species. Description: Maciejewski, Emily, et al. Cross-species and tissue imputation of species-level DNA methylation samples across mammalian species. ''bioRxiv''. 2023 Nov 27;
Design and deep learning of synthetic B-cell-specific promoters. Description: Fu, Zong-Heng, et al. Design and deep learning of synthetic B-cell-specific promoters. ''Nucleic Acids Res''. 2023 Nov 27; '''51''' (21):11967-11979
Optimized RT-qPCR and a novel normalization method for validating circulating miRNA biomarkers in ageing-related diseases. Description: Want, Andrew, et al. Optimized RT-qPCR and a novel normalization method for validating circulating miRNA biomarkers in ageing-related diseases. ''Sci Rep''. 2023 Nov 27; '''13''' (1):20869
Random forest classifiers trained on simulated data enable accurate short read-based genotyping of structural variants in the alpha globin region at Chr16p13.3. Description: Hansen, Nancy F, et al. Random forest classifiers trained on simulated data enable accurate short read-based genotyping of structural variants in the alpha globin region at Chr16p13.3. ''bioRxiv''. 2023 Nov 27;
Brainstem fMRI signaling of surprise across different types of deviant stimuli. Description: Mazancieux, Audrey, et al. Brainstem fMRI signaling of surprise across different types of deviant stimuli. ''Cell Rep''. 2023 Nov 28; '''42''' (11):113405
Cell type specializations of the vocal-motor cortex in songbirds. Description: Nevue, Alexander A, et al. Cell type specializations of the vocal-motor cortex in songbirds. ''Cell Rep''. 2023 Nov 28; '''42''' (11):113344
Data-driven grading of acute graft-versus-host disease. Description: Bayraktar, Evren, et al. Data-driven grading of acute graft-versus-host disease. ''Nat Commun''. 2023 Nov 28; '''14''' (1):7799
Growth hormone-releasing hormone receptor antagonist MIA-602 attenuates cardiopulmonary injury induced by BSL-2 rVSV-SARS-CoV-2 in hACE2 mice. Description: Condor Capcha, Jose M, et al. Growth hormone-releasing hormone receptor antagonist MIA-602 attenuates cardiopulmonary injury induced by BSL-2 rVSV-SARS-CoV-2 in hACE2 mice. ''Proc Natl Acad Sci U S A''. 2023 Nov 28; '''120''' (48):e2308342120
Label-free identification of protein aggregates using deep learning. Description: Ibrahim, Khalid A, et al. Label-free identification of protein aggregates using deep learning. ''Nat Commun''. 2023 Nov 28; '''14''' (1):7816
Plasma proteomic profiles predict individual future health risk. Description: You, Jia, et al. Plasma proteomic profiles predict individual future health risk. ''Nat Commun''. 2023 Nov 28; '''14''' (1):7817
Semaglutide and Tirzepatide reduce alcohol consumption in individuals with obesity. Description: Quddos, Fatima, et al. Semaglutide and Tirzepatide reduce alcohol consumption in individuals with obesity. ''Sci Rep''. 2023 Nov 28; '''13''' (1):20998
Data-Driven Predetermination of Cu Oxidation State in Copper Nanoparticles: Application to the Synthesis by Laser Ablation in Liquid. Description: Miao, Runpeng, et al. Data-Driven Predetermination of Cu Oxidation State in Copper Nanoparticles: Application to the Synthesis by Laser Ablation in Liquid. ''J Am Chem Soc''. 2023 Nov 29; '''145''' (47):25737-25752
Estimation of gestating sows' welfare status based on machine learning methods and behavioral data. Description: Durand, Maeva, et al. Estimation of gestating sows' welfare status based on machine learning methods and behavioral data. ''Sci Rep''. 2023 Nov 29; '''13''' (1):21042
Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach. Description: Zambrano Chaves, Juan M, et al. Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach. ''Sci Rep''. 2023 Nov 29; '''13''' (1):21034
A deep learning model predicts the presence of diverse cancer types using circulating tumor cells. Description: Albaradei, Somayah, et al. A deep learning model predicts the presence of diverse cancer types using circulating tumor cells. ''Sci Rep''. 2023 Nov 30; '''13''' (1):21114
Motif-VI Loop Acts as a Nucleotide Valve in the West Nile Virus NS3 Helicase. Description: Roy, Priti, et al. Motif-VI Loop Acts as a Nucleotide Valve in the West Nile Virus NS3 Helicase. ''bioRxiv''. 2023 Nov 30;
Understanding Mental Health Issues in Different Subdomains of Social Networking Services: Computational Analysis of Text-Based Reddit Posts. Description: Kim, Seoyun, et al. Understanding Mental Health Issues in Different Subdomains of Social Networking Services: Computational Analysis of Text-Based Reddit Posts. ''J Med Internet Res''. 2023 Nov 30; '''25''': e49074
A data-driven study of Alzheimer's disease related amyloid and tau pathology progression. Description: Aksman, Leon M, et al. A data-driven study of Alzheimer's disease related amyloid and tau pathology progression. ''Brain''. 2023 Dec 1; '''146''' (12):4935-4948
An Explainable MRI-Radiomic Quantum Neural Network to Differentiate Between Large Brain Metastases and High-Grade Glioma Using Quantum Annealing for Feature Selection. Description: Felefly, Tony, et al. An Explainable MRI-Radiomic Quantum Neural Network to Differentiate Between Large Brain Metastases and High-Grade Glioma Using Quantum Annealing for Feature Selection. ''J Digit Imaging''. 2023 Dec; '''36''' (6):2335-2346
A novel multiplex biomarker panel for profiling human acute and chronic kidney disease. Description: Van Nynatten, Logan R, et al. A novel multiplex biomarker panel for profiling human acute and chronic kidney disease. ''Sci Rep''. 2023 Dec 1; '''13''' (1):21210
A Stable and Scalable Digital Composite Neurocognitive Test for Early Dementia Screening Based on Machine Learning: Model Development and Validation Study. Description: Gu, Dongmei, et al. A Stable and Scalable Digital Composite Neurocognitive Test for Early Dementia Screening Based on Machine Learning: Model Development and Validation Study. ''J Med Internet Res''. 2023 Dec 1; '''25''': e49147
Autoencoder neural networks enable low dimensional structure analyses of microbial growth dynamics. Description: Baig, Yasa, et al. Autoencoder neural networks enable low dimensional structure analyses of microbial growth dynamics. ''Nat Commun''. 2023 Dec 1; '''14''' (1):7937
BERT based natural language processing for triage of adverse drug reaction reports shows close to human-level performance. Description: Bergman, Erik, et al. BERT based natural language processing for triage of adverse drug reaction reports shows close to human-level performance. ''PLOS Digit Health''. 2023 Dec; '''2''' (12):e0000409
Bioinformatics Analysis of Global Diversity in Meningococcal Vaccine Antigens over the Past 10 Years: Vaccine Efficacy Prognosis. Description: Savitskaya, Viktoriia Yu, et al. Bioinformatics Analysis of Global Diversity in Meningococcal Vaccine Antigens over the Past 10 Years: Vaccine Efficacy Prognosis. ''Med Sci (Basel)''. 2023 Dec 1; '''11''' (4):
Comprehensive evaluation of the implementation of episignatures for diagnosis of neurodevelopmental disorders (NDDs). Description: Giuili, Edoardo, et al. Comprehensive evaluation of the implementation of episignatures for diagnosis of neurodevelopmental disorders (NDDs). ''Hum Genet''. 2023 Dec; '''142''' (12):1721-1735
Developing an interpretable machine learning model for predicting COVID-19 patients deteriorating prior to intensive care unit admission using laboratory markers. Description: Reina-Reina, A, et al. Developing an interpretable machine learning model for predicting COVID-19 patients deteriorating prior to intensive care unit admission using laboratory markers. ''Heliyon''. 2023 Dec; '''9''' (12):e22878
Development and external validation of a prediction model for the transition from mild to moderate or severe form of COVID-19. Description: Zysman, Maeva, et al. Development and external validation of a prediction model for the transition from mild to moderate or severe form of COVID-19. ''Eur Radiol''. 2023 Dec; '''33''' (12):9262-9274
Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study. Description: Widera, Pawel, et al. Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study. ''Osteoarthr Cartil Open''. 2023 Dec; '''5''' (4):100406
Development and validation of a practical machine learning model to predict sepsis after liver transplantation. Description: Chen, Chaojin, et al. Development and validation of a practical machine learning model to predict sepsis after liver transplantation. ''Ann Med''. 2023 Dec; '''55''' (1):624-633
Development of Machine-Learning Models to Predict Ambulation Outcomes Following Spinal Metastasis Surgery. Description: Chavalparit, Piya, et al. Development of Machine-Learning Models to Predict Ambulation Outcomes Following Spinal Metastasis Surgery. ''Asian Spine J''. 2023 Dec; '''17''' (6):1013-1023
Digital telomere measurement by long-read sequencing distinguishes healthy aging from disease. Description: Sanchez, Santiago E, et al. Digital telomere measurement by long-read sequencing distinguishes healthy aging from disease. ''bioRxiv''. 2023 Dec 1;
Dissecting neural computations in the human auditory pathway using deep neural networks for speech. Description: Li, Yuanning, et al. Dissecting neural computations in the human auditory pathway using deep neural networks for speech. ''Nat Neurosci''. 2023 Dec; '''26''' (12):2213-2225
Dynamic prediction of hypoxemia risk at different time points based on preoperative and intraoperative features: machine learning applications in outpatients undergoing esophagogastroduodenoscopy. Description: Fang, Zhaojing, et al. Dynamic prediction of hypoxemia risk at different time points based on preoperative and intraoperative features: machine learning applications in outpatients undergoing esophagogastroduodenoscopy. ''Ann Med''. 2023 Dec; '''55''' (1):1156-1167
Epicardioid single-cell genomics uncovers principles of human epicardium biology in heart development and disease. Description: Meier, Anna B, et al. Epicardioid single-cell genomics uncovers principles of human epicardium biology in heart development and disease. ''Nat Biotechnol''. 2023 Dec; '''41''' (12):1787-1800
Explainable hierarchical clustering for patient subtyping and risk prediction. Description: Werner, Enrico, et al. Explainable hierarchical clustering for patient subtyping and risk prediction. ''Exp Biol Med (Maywood)''. 2023 Dec; '''248''' (24):2547-2559
ImageNomer: Description of a functional connectivity and omics analysis tool and case study identifying a race confound. Description: Orlichenko, Anton, et al. ImageNomer: Description of a functional connectivity and omics analysis tool and case study identifying a race confound. ''Neuroimage Rep''. 2023 Dec; '''3''' (4):
Imaging-Based Biomarkers Predict Programmed Death-Ligand 1 and Survival Outcomes in Advanced NSCLC Treated With Nivolumab and Pembrolizumab: A Multi-Institutional Study. Description: Yolchuyeva, Sevinj, et al. Imaging-Based Biomarkers Predict Programmed Death-Ligand 1 and Survival Outcomes in Advanced NSCLC Treated With Nivolumab and Pembrolizumab: A Multi-Institutional Study. ''JTO Clin Res Rep''. 2023 Dec; '''4''' (12):100602
Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Description: Cao, Kai, et al. Large-scale pancreatic cancer detection via non-contrast CT and deep learning. ''Nat Med''. 2023 Dec; '''29''' (12):3033-3043
Ligand-based discovery of coronavirus main protease inhibitors using MACAW molecular embeddings. Description: Dong, Jie, et al. Ligand-based discovery of coronavirus main protease inhibitors using MACAW molecular embeddings. ''J Enzyme Inhib Med Chem''. 2023 Dec; '''38''' (1):24-35
Low level of tonic interferon signalling is associated with enhanced susceptibility to SARS-CoV-2 variants of concern in human lung organoids. Description: Flagg, Meaghan, et al. Low level of tonic interferon signalling is associated with enhanced susceptibility to SARS-CoV-2 variants of concern in human lung organoids. ''Emerg Microbes Infect''. 2023 Dec; '''12''' (2):2276338
Machine learning-based optimization of contract renewal predictions in Korea Baseball organization. Description: Park, Taeshin, et al. Machine learning-based optimization of contract renewal predictions in Korea Baseball organization. ''Heliyon''. 2023 Dec; '''9''' (12):e23231
Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions. Description: Tuckute, Greta, et al. Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions. ''PLoS Biol''. 2023 Dec; '''21''' (12):e3002366
Meta-reinforcement learning via orbitofrontal cortex. Description: Hattori, Ryoma, et al. Meta-reinforcement learning via orbitofrontal cortex. ''Nat Neurosci''. 2023 Dec; '''26''' (12):2182-2191
Model incorporating multiple diffusion MRI features: development and validation of a radiomics-based model to predict adult-type diffuse gliomas grade. Description: Wang, Peng, et al. Model incorporating multiple diffusion MRI features: development and validation of a radiomics-based model to predict adult-type diffuse gliomas grade. ''Eur Radiol''. 2023 Dec; '''33''' (12):8809-8820
Multisequence MRI-based radiomics nomogram for early prediction of osimertinib resistance in patients with non-small cell lung cancer brain metastases. Description: Lv, Xinna, et al. Multisequence MRI-based radiomics nomogram for early prediction of osimertinib resistance in patients with non-small cell lung cancer brain metastases. ''Eur J Radiol Open''. 2023 Dec; '''11''': 100521
Opposing brain signatures of sleep in task-based and resting-state conditions. Description: Abdelhack, Mohamed, et al. Opposing brain signatures of sleep in task-based and resting-state conditions. ''Nat Commun''. 2023 Dec 1; '''14''' (1):7927
Organ aging signatures in the plasma proteome track health and disease. Description: Oh, Hamilton Se-Hwee, et al. Organ aging signatures in the plasma proteome track health and disease. ''Nature''. 2023 Dec; '''624''' (7990):164-172
Patterns of Social Determinants of Health and Child Mental Health, Cognition, and Physical Health. Description: Xiao, Yunyu, et al. Patterns of Social Determinants of Health and Child Mental Health, Cognition, and Physical Health. ''JAMA Pediatr''. 2023 Dec 1; '''177''' (12):1294-1305
Personal transcriptome variation is poorly explained by current genomic deep learning models. Description: Huang, Connie, et al. Personal transcriptome variation is poorly explained by current genomic deep learning models. ''Nat Genet''. 2023 Dec; '''55''' (12):2056-2059
Predicting anti-SARS-CoV-2 activities of chemical compounds using machine learning models. Description: Ji, Beihong, et al. Predicting anti-SARS-CoV-2 activities of chemical compounds using machine learning models. ''Artif Intell Chem''. 2023 Dec; '''1''' (2):
Predicting long-term outcome in anorexia nervosa: a machine learning analysis of brain structure at different stages of weight recovery. Description: Arold, Dominic, et al. Predicting long-term outcome in anorexia nervosa: a machine learning analysis of brain structure at different stages of weight recovery. ''Psychol Med''. 2023 Dec; '''53''' (16):7827-7836
Predicting optimal endotracheal tube size and depth in pediatric patients using demographic data and machine learning techniques. Description: Kim, Hyeonsik, et al. Predicting optimal endotracheal tube size and depth in pediatric patients using demographic data and machine learning techniques. ''Korean J Anesthesiol''. 2023 Dec; '''76''' (6):540-549
Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study. Description: Beaulieu-Jones, Brett K, et al. Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study. ''Lancet Digit Health''. 2023 Dec; '''5''' (12):e882-e894
Prostate lineage-specific metabolism governs luminal differentiation and response to antiandrogen treatment. Description: Giafaglione, Jenna M, et al. Prostate lineage-specific metabolism governs luminal differentiation and response to antiandrogen treatment. ''Nat Cell Biol''. 2023 Dec; '''25''' (12):1821-1832
RNA sequencing of peripheral blood in amyotrophic lateral sclerosis reveals distinct molecular subtypes: Considerations for biomarker discovery. Description: Grima, Natalie, et al. RNA sequencing of peripheral blood in amyotrophic lateral sclerosis reveals distinct molecular subtypes: Considerations for biomarker discovery. ''Neuropathol Appl Neurobiol''. 2023 Dec; '''49''' (6):e12943
SAD-1 kinase controls presynaptic phase separation by relieving SYD-2/Liprin-alpha autoinhibition. Description: McDonald, Nathan A, et al. SAD-1 kinase controls presynaptic phase separation by relieving SYD-2/Liprin-alpha autoinhibition. ''PLoS Biol''. 2023 Dec; '''21''' (12):e3002421
Screening of the activity of sixty essential oils against plasmodium early mosquito stages in vitro and machine learning analysis reveals new putative inhibitors of malaria parasites. Description: Deligianni, Elena, et al. Screening of the activity of sixty essential oils against plasmodium early mosquito stages in vitro and machine learning analysis reveals new putative inhibitors of malaria parasites. ''Int J Parasitol Drugs Drug Resist''. 2023 Dec; '''23''': 87-93
Simultaneous entry as an adaptation to virulence in a novel satellite-helper system infecting Streptomyces species. Description: deCarvalho, Tagide, et al. Simultaneous entry as an adaptation to virulence in a novel satellite-helper system infecting Streptomyces species. ''ISME J''. 2023 Dec; '''17''' (12):2381-2388
Statistical prediction of microbial metabolic traits from genomes. Description: Li, Zeqian, et al. Statistical prediction of microbial metabolic traits from genomes. ''PLoS Comput Biol''. 2023 Dec; '''19''' (12):e1011705
Topological data analysis reveals a core gene expression backbone that defines form and function across flowering plants. Description: Palande, Sourabh, et al. Topological data analysis reveals a core gene expression backbone that defines form and function across flowering plants. ''PLoS Biol''. 2023 Dec; '''21''' (12):e3002397
Transcriptome Changes and Metabolic Outcomes After Bariatric Surgery in Adults With Obesity and Type 2 Diabetes. Description: Rashid, Mamoon, et al. Transcriptome Changes and Metabolic Outcomes After Bariatric Surgery in Adults With Obesity and Type 2 Diabetes. ''J Endocr Soc''. 2023 Dec 1; '''8''' (1):bvad159
Improving preoperative prediction of surgery duration. Description: Riahi, Vahid, et al. Improving preoperative prediction of surgery duration. ''BMC Health Serv Res''. 2023 Dec 2; '''23''' (1):1343
Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model Optimization. Description: Ge, Ruiyang, et al. Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model Optimization. ''bioRxiv''. 2023 Dec 2;
Predicting cognitive dysfunction and regional hubs using Braak staging amyloid-beta biomarkers and machine learning. Description: Bhattarai, Puskar, et al. Predicting cognitive dysfunction and regional hubs using Braak staging amyloid-beta biomarkers and machine learning. ''Brain Inform''. 2023 Dec 3; '''10''' (1):33
Development and validation of a blood routine-based extent and severity clinical decision support tool for ulcerative colitis. Description: Chen, Hongliang, et al. Development and validation of a blood routine-based extent and severity clinical decision support tool for ulcerative colitis. ''Sci Rep''. 2023 Dec 4; '''13''' (1):21368
Exploring interactions between socioeconomic context and natural hazards on human population displacement. Description: Ronco, Michele, et al. Exploring interactions between socioeconomic context and natural hazards on human population displacement. ''Nat Commun''. 2023 Dec 4; '''14''' (1):8004
Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing. Description: Gwilliams, Laura, et al. Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing. ''Sci Data''. 2023 Dec 4; '''10''' (1):862
Non-Negative Matrix Factorization for Analyzing State Dependent Neuronal Network Dynamics in Calcium Recordings. Description: Carbonero, Daniel, et al. Non-Negative Matrix Factorization for Analyzing State Dependent Neuronal Network Dynamics in Calcium Recordings. ''bioRxiv''. 2023 Dec 4;
Predicting Bordeaux red wine origins and vintages from raw gas chromatograms. Description: Schartner, Michael, et al. Predicting Bordeaux red wine origins and vintages from raw gas chromatograms. ''Commun Chem''. 2023 Dec 5; '''6''' (1):247
Bursting with Potential: How Sensorimotor Beta Bursts Develop from Infancy to Adulthood. Description: Rayson, Holly, et al. Bursting with Potential: How Sensorimotor Beta Bursts Develop from Infancy to Adulthood. ''J Neurosci''. 2023 Dec 6; '''43''' (49):8487-8503
Harnessing Deep Learning to Analyze Cryptic Morphological Variability of Marchantia polymorpha. Description: Tomizawa, Yoko, et al. Harnessing Deep Learning to Analyze Cryptic Morphological Variability of Marchantia polymorpha. ''Plant Cell Physiol''. 2023 Dec 6; '''64''' (11):1343-1355
Saturation genome editing of DDX3X clarifies pathogenicity of germline and somatic variation. Description: Radford, Elizabeth J, et al. Saturation genome editing of DDX3X clarifies pathogenicity of germline and somatic variation. ''Nat Commun''. 2023 Dec 6; '''14''' (1):7702
The inside out model of emotion recognition: how the shape of one's internal emotional landscape influences the recognition of others' emotions. Description: Keating, Connor Tom, et al. The inside out model of emotion recognition: how the shape of one's internal emotional landscape influences the recognition of others' emotions. ''Sci Rep''. 2023 Dec 6; '''13''' (1):21490
A differential diagnosis between uterine leiomyoma and leiomyosarcoma using transcriptome analysis. Description: Kim, Kidong, et al. A differential diagnosis between uterine leiomyoma and leiomyosarcoma using transcriptome analysis. ''BMC Cancer''. 2023 Dec 8; '''23''' (1):1215
Automated Machine Learning to Develop Predictive Models of Metabolic Syndrome in Patients with Periodontal Disease. Description: Boitor, Ovidiu, et al. Automated Machine Learning to Develop Predictive Models of Metabolic Syndrome in Patients with Periodontal Disease. ''Diagnostics (Basel)''. 2023 Dec 8; '''13''' (24):
Machine-learning-based Structural Analysis of Interactions between Antibodies and Antigens. Description: Zhang, Grace, et al. Machine-learning-based Structural Analysis of Interactions between Antibodies and Antigens. ''bioRxiv''. 2023 Dec 8;
Multimodal classification of molecular subtypes in pediatric acute lymphoblastic leukemia. Description: Krali, Olga, et al. Multimodal classification of molecular subtypes in pediatric acute lymphoblastic leukemia. ''NPJ Precis Oncol''. 2023 Dec 8; '''7''' (1):131
Prediction of Postnatal Growth Failure in Very Low Birth Weight Infants Using a Machine Learning Model. Description: Yoon, So Jin, et al. Prediction of Postnatal Growth Failure in Very Low Birth Weight Infants Using a Machine Learning Model. ''Diagnostics (Basel)''. 2023 Dec 8; '''13''' (24):
Tooth caries classification with quantitative light-induced fluorescence (QLF) images using convolutional neural network for permanent teeth in vivo. Description: Park, Eun Young, et al. Tooth caries classification with quantitative light-induced fluorescence (QLF) images using convolutional neural network for permanent teeth in vivo. ''BMC Oral Health''. 2023 Dec 8; '''23''' (1):981
Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning. Description: Dhakal, Rakshya, et al. Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning. ''Sensors (Basel)''. 2023 Dec 8; '''23''' (24):
Comprehensive modeling of cell culture profile using Raman spectroscopy and machine learning. Description: Tanemura, Hiroki, et al. Comprehensive modeling of cell culture profile using Raman spectroscopy and machine learning. ''Sci Rep''. 2023 Dec 9; '''13''' (1):21805
Electrostatic encoding of genome organization principles within single native nucleosomes. Description: Park, Sangwoo, et al. Electrostatic encoding of genome organization principles within single native nucleosomes. ''bioRxiv''. 2023 Dec 9;
First-in-human diagnostic study of hepatic steatosis with computed ultrasound tomography in echo mode. Description: Stahli, Patrick, et al. First-in-human diagnostic study of hepatic steatosis with computed ultrasound tomography in echo mode. ''Commun Med (Lond)''. 2023 Dec 9; '''3''' (1):176
Imputing Single-Cell Protein Abundance in Multiplex Tissue Imaging. Description: Kirchgaessner, Raphael, et al. Imputing Single-Cell Protein Abundance in Multiplex Tissue Imaging. ''bioRxiv''. 2023 Dec 9;
DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis. Description: Liu, Yi, et al. DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis. ''Nat Commun''. 2023 Dec 11; '''14''' (1):8188
Identifying primary aldosteronism patients who require adrenal venous sampling: a multi-center study. Description: Kitamoto, Takumi, et al. Identifying primary aldosteronism patients who require adrenal venous sampling: a multi-center study. ''Sci Rep''. 2023 Dec 11; '''13''' (1):21722
Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer's disease spectrum: a COMPASS-ND study. Description: Bohn, Linzy, et al. Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer's disease spectrum: a COMPASS-ND study. ''BMC Geriatr''. 2023 Dec 11; '''23''' (1):837
Machine learning identifies phenotypic profile alterations of human dopaminergic neurons exposed to bisphenols and perfluoroalkyls. Description: Di Credico, Andrea, et al. Machine learning identifies phenotypic profile alterations of human dopaminergic neurons exposed to bisphenols and perfluoroalkyls. ''Sci Rep''. 2023 Dec 11; '''13''' (1):21907
Can Grapevine Leaf Water Potential Be Modelled from Physiological and Meteorological Variables? A Machine Learning Approach. Description: Damasio, Miguel, et al. Can Grapevine Leaf Water Potential Be Modelled from Physiological and Meteorological Variables? A Machine Learning Approach. ''Plants (Basel)''. 2023 Dec 12; '''12''' (24):
Early response markers predict survival after etoposide-based therapy of hemophagocytic lymphohistiocytosis. Description: Verkamp, Bethany, et al. Early response markers predict survival after etoposide-based therapy of hemophagocytic lymphohistiocytosis. ''Blood Adv''. 2023 Dec 12; '''7''' (23):7258-7269
Institutional trust is a distinct construct related to vaccine hesitancy and refusal. Description: Krastev, Sekoul, et al. Institutional trust is a distinct construct related to vaccine hesitancy and refusal. ''BMC Public Health''. 2023 Dec 12; '''23''' (1):2481
Machine learning to predict ceftriaxone resistance using single nucleotide polymorphisms within a global database of Neisseria gonorrhoeae genomes. Description: Ha, Sung Min, et al. Machine learning to predict ceftriaxone resistance using single nucleotide polymorphisms within a global database of Neisseria gonorrhoeae genomes. ''Microbiol Spectr''. 2023 Dec 12; '''11''' (6):e0170323
Ultrasensitive Detection of Circulating LINE-1 ORF1p as a Specific Multicancer Biomarker. Description: Taylor, Martin S, et al. Ultrasensitive Detection of Circulating LINE-1 ORF1p as a Specific Multicancer Biomarker. ''Cancer Discov''. 2023 Dec 12; '''13''' (12):2532-2547
GNTD: reconstructing spatial transcriptomes with graph-guided neural tensor decomposition informed by spatial and functional relations. Description: Song, Tianci, et al. GNTD: reconstructing spatial transcriptomes with graph-guided neural tensor decomposition informed by spatial and functional relations. ''Nat Commun''. 2023 Dec 13; '''14''' (1):8276
Novel Calibration Approach for Monitoring Aerosol Hydrogen Isotopes Using Laser-Induced Breakdown Spectroscopy for Molten Salt Reactor Off-Gas Streams. Description: Andrews, Hunter B, et al. Novel Calibration Approach for Monitoring Aerosol Hydrogen Isotopes Using Laser-Induced Breakdown Spectroscopy for Molten Salt Reactor Off-Gas Streams. ''Sensors (Basel)''. 2023 Dec 13; '''23''' (24):
Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach. Description: Shiraga, Takeru, et al. Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach. ''Sensors (Basel)''. 2023 Dec 14; '''23''' (24):
Machine learning and atomistic origin of high dielectric permittivity in oxides. Description: Shimano, Yuho, et al. Machine learning and atomistic origin of high dielectric permittivity in oxides. ''Sci Rep''. 2023 Dec 14; '''13''' (1):22236
Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores. Description: Hrytsenko, Yana, et al. Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores. ''medRxiv''. 2023 Dec 14;
Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S. Description: Yang, Tzong-Hann, et al. Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S. ''BioData Min''. 2023 Dec 14; '''16''' (1):35
ROR2 regulates cellular plasticity in pancreatic neoplasia and adenocarcinoma. Description: Benitz, Simone, et al. ROR2 regulates cellular plasticity in pancreatic neoplasia and adenocarcinoma. ''bioRxiv''. 2023 Dec 14;
Stable Cortical Body Maps Before and After Arm Amputation. Description: Schone, Hunter R, et al. Stable Cortical Body Maps Before and After Arm Amputation. ''bioRxiv''. 2023 Dec 14;
Examining the diagnostic value of the mnemonic discrimination task for classification of cognitive status and amyloid-beta burden. Description: Kim, Soyun, et al. Examining the diagnostic value of the mnemonic discrimination task for classification of cognitive status and amyloid-beta burden. ''Neuropsychologia''. 2023 Dec 15; '''191''': 108727
Give Me a Sign: Using Data Gloves for Static Hand-Shape Recognition. Description: Achenbach, Philipp, et al. Give Me a Sign: Using Data Gloves for Static Hand-Shape Recognition. ''Sensors (Basel)''. 2023 Dec 15; '''23''' (24):
Intestinal acetate and butyrate availability is associated with glucose metabolism in healthy individuals. Description: Wijdeveld, Madelief, et al. Intestinal acetate and butyrate availability is associated with glucose metabolism in healthy individuals. ''iScience''. 2023 Dec 15; '''26''' (12):108478
Lithospheric thickness records tectonic evolution by controlling metamorphic conditions. Description: Zhang, Zhen-Jie, et al. Lithospheric thickness records tectonic evolution by controlling metamorphic conditions. ''Sci Adv''. 2023 Dec 15; '''9''' (50):eadi2134
Machine learning analyses reveal circadian clock features predictive of anxiety among UK biobank participants. Description: Ventresca, Cole, et al. Machine learning analyses reveal circadian clock features predictive of anxiety among UK biobank participants. ''Sci Rep''. 2023 Dec 15; '''13''' (1):22304
Machine learning-based donor permission extraction from informed consent documents. Description: Zhang, Meng, et al. Machine learning-based donor permission extraction from informed consent documents. ''BMC Bioinformatics''. 2023 Dec 15; '''24''' (Suppl 3):477
Machine Learning-Supported Enzyme Engineering toward Improved CO(2)-Fixation of Glycolyl-CoA Carboxylase. Description: Marchal, Daniel G, et al. Machine Learning-Supported Enzyme Engineering toward Improved CO(2)-Fixation of Glycolyl-CoA Carboxylase. ''ACS Synth Biol''. 2023 Dec 15; '''12''' (12):3521-3530
The neuronal implementation of representational geometry in primate prefrontal cortex. Description: Lin, Xiao-Xiong, et al. The neuronal implementation of representational geometry in primate prefrontal cortex. ''Sci Adv''. 2023 Dec 15; '''9''' (50):eadh8685
Data-driven analysis and prediction of stable phases for high-entropy alloy design. Description: Peivaste, Iman, et al. Data-driven analysis and prediction of stable phases for high-entropy alloy design. ''Sci Rep''. 2023 Dec 18; '''13''' (1):22556
Decoding glycomics with a suite of methods for differential expression analysis. Description: Lundstrom, Jon, et al. Decoding glycomics with a suite of methods for differential expression analysis. ''Cell Rep Methods''. 2023 Dec 18; '''3''' (12):100652
A hyperparameter-randomized ensemble approach for robust clustering across diverse datasets. Description: Goggin, Sarah M, et al. A hyperparameter-randomized ensemble approach for robust clustering across diverse datasets. ''bioRxiv''. 2023 Dec 19;
GIInger predicts homologous recombination deficiency and patient response to PARPi treatment from shallow genomic profiles. Description: Pozzorini, Christian, et al. GIInger predicts homologous recombination deficiency and patient response to PARPi treatment from shallow genomic profiles. ''Cell Rep Med''. 2023 Dec 19; '''4''' (12):101344
Prediction of Clinical Remission with Adalimumab Therapy in Patients with Ulcerative Colitis by Fourier Transform-Infrared Spectroscopy Coupled with Machine Learning Algorithms. Description: Kim, Seok-Young, et al. Prediction of Clinical Remission with Adalimumab Therapy in Patients with Ulcerative Colitis by Fourier Transform-Infrared Spectroscopy Coupled with Machine Learning Algorithms. ''Metabolites''. 2023 Dec 19; '''14''' (1):
Reduced mortality and morbidity associated with metformin and SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus and cirrhosis. Description: Huynh, Daniel J, et al. Reduced mortality and morbidity associated with metformin and SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus and cirrhosis. ''BMC Gastroenterol''. 2023 Dec 19; '''23''' (1):450
Visceral and Ectopic Abdominal Fat Effect on the Calcification of the Abdominal Aorta and Its Branches-An MSCT Study. Description: Ordulj, Ivan, et al. Visceral and Ectopic Abdominal Fat Effect on the Calcification of the Abdominal Aorta and Its Branches-An MSCT Study. ''Life (Basel)''. 2023 Dec 19; '''14''' (1):
Brain multi-contrast, multi-atlas segmentation of diffusion tensor imaging and ensemble learning automatically diagnose late-life depression. Description: Siarkos, Kostas, et al. Brain multi-contrast, multi-atlas segmentation of diffusion tensor imaging and ensemble learning automatically diagnose late-life depression. ''Sci Rep''. 2023 Dec 20; '''13''' (1):22743
Heterogeneity-Preserving Discriminative Feature Selection for Subtype Discovery. Description: Basher, Abdur Rahman M A, et al. Heterogeneity-Preserving Discriminative Feature Selection for Subtype Discovery. ''bioRxiv''. 2023 Dec 20;
Predicting tumor deposits in rectal cancer: a combined deep learning model using T2-MR imaging and clinical features. Description: Jin, Yumei, et al. Predicting tumor deposits in rectal cancer: a combined deep learning model using T2-MR imaging and clinical features. ''Insights Imaging''. 2023 Dec 20; '''14''' (1):221
Spatial and Compositional Biomarkers in Tumor Microenvironment Predicts Clinical Outcomes in Triple-Negative Breast Cancer. Description: Mi, Haoyang, et al. Spatial and Compositional Biomarkers in Tumor Microenvironment Predicts Clinical Outcomes in Triple-Negative Breast Cancer. ''bioRxiv''. 2023 Dec 20;
Classifying and clustering mood disorder patients using smartphone data from a feasibility study. Description: Langholm, Carsten, et al. Classifying and clustering mood disorder patients using smartphone data from a feasibility study. ''NPJ Digit Med''. 2023 Dec 21; '''6''' (1):238
Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts. Description: Vanni, Petri, et al. Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts. ''mSystems''. 2023 Dec 21; '''8''' (6):e0036423
Reward Expectation Reduces Representational Drift in the Hippocampus. Description: Krishnan, Seetha, et al. Reward Expectation Reduces Representational Drift in the Hippocampus. ''bioRxiv''. 2023 Dec 21;
Dissecting an ancient stress resistance trait syndrome in the compost yeast Kluyveromyces marxianus. Description: Christensen, Kaylee E, et al. Dissecting an ancient stress resistance trait syndrome in the compost yeast Kluyveromyces marxianus. ''bioRxiv''. 2023 Dec 22;
Machine Learning Approach for Analyzing 3-Year Outcomes of Patients with Brain Arteriovenous Malformation (AVM) after Stereotactic Radiosurgery (SRS). Description: Rodriguez Mallma, Mirko Jerber, et al. Machine Learning Approach for Analyzing 3-Year Outcomes of Patients with Brain Arteriovenous Malformation (AVM) after Stereotactic Radiosurgery (SRS). ''Diagnostics (Basel)''. 2023 Dec 22; '''14''' (1):
High Expression of THY1 in Intestinal Gastric Cancer as a Key Factor in Tumor Biology: A Poor Prognosis-Independent Marker Related to the Epithelial-Mesenchymal Transition Profile. Description: Rohan, Paulo, et al. High Expression of THY1 in Intestinal Gastric Cancer as a Key Factor in Tumor Biology: A Poor Prognosis-Independent Marker Related to the Epithelial-Mesenchymal Transition Profile. ''Genes (Basel)''. 2023 Dec 24; '''15''' (1):
CellBiAge: Improved single-cell age classification using data binarization. Description: Yu, Doudou, et al. CellBiAge: Improved single-cell age classification using data binarization. ''Cell Rep''. 2023 Dec 26; '''42''' (12):113500
Machine Learning Predicts Decompression Levels for Lumbar Spinal Stenosis Using Canal Radiomic Features from Computed Tomography Myelography. Description: Fan, Guoxin, et al. Machine Learning Predicts Decompression Levels for Lumbar Spinal Stenosis Using Canal Radiomic Features from Computed Tomography Myelography. ''Diagnostics (Basel)''. 2023 Dec 26; '''14''' (1):
Portable Multi-focal Visual Evoked Potential Diagnostics for Multiple Sclerosis/Optic Neuritis patients. Description: Banijamali, S Mohammad Ali, et al. Portable Multi-focal Visual Evoked Potential Diagnostics for Multiple Sclerosis/Optic Neuritis patients. ''medRxiv''. 2023 Dec 26;
Visual experience induces 4-8 Hz synchrony between V1 and higher-order visual areas. Description: Tang, Yu, et al. Visual experience induces 4-8 Hz synchrony between V1 and higher-order visual areas. ''Cell Rep''. 2023 Dec 26; '''42''' (12):113482
A novel deep learning model for a computed tomography diagnosis of coronary plaque erosion. Description: Park, Sangjoon, et al. A novel deep learning model for a computed tomography diagnosis of coronary plaque erosion. ''Sci Rep''. 2023 Dec 27; '''13''' (1):22992
Anti-Dengue: A Machine Learning-Assisted Prediction of Small Molecule Antivirals against Dengue Virus and Implications in Drug Repurposing. Description: Gautam, Sakshi, et al. Anti-Dengue: A Machine Learning-Assisted Prediction of Small Molecule Antivirals against Dengue Virus and Implications in Drug Repurposing. ''Viruses''. 2023 Dec 27; '''16''' (1):
Genome analysis of triple phages that curtails MDR E. coli with ML based host receptor prediction and its evaluation. Description: Unnikrishnan, Vineetha K, et al. Genome analysis of triple phages that curtails MDR E. coli with ML based host receptor prediction and its evaluation. ''Sci Rep''. 2023 Dec 27; '''13''' (1):23040
Leveraging Deep Neural Networks for Estimating Vickers Hardness from Nanoindentation Hardness. Description: Niu, Junbo, et al. Leveraging Deep Neural Networks for Estimating Vickers Hardness from Nanoindentation Hardness. ''Materials (Basel)''. 2023 Dec 27; '''17''' (1):
Low-Cost Vibrational Free Energies in Solid Solutions with Machine Learning Force Fields. Description: Tolborg, Kasper, et al. Low-Cost Vibrational Free Energies in Solid Solutions with Machine Learning Force Fields. ''J Phys Chem Lett''. 2023 Dec 28; '''14''' (51):11618-11624
Supervised machine learning model to predict mortality in patients undergoing venovenous extracorporeal membrane oxygenation from a nationwide multicentre registry. Description: Lee, Haeun, et al. Supervised machine learning model to predict mortality in patients undergoing venovenous extracorporeal membrane oxygenation from a nationwide multicentre registry. ''BMJ Open Respir Res''. 2023 Dec 28; '''10''' (1):
Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study. Description: Chen, Hung-Hsun, et al. Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study. ''J Med Internet Res''. 2023 Dec 29; '''25''': e48834
Performance of Classification Models of Toxins Based on Raman Spectroscopy Using Machine Learning Algorithms. Description: Zhang, Pengjie, et al. Performance of Classification Models of Toxins Based on Raman Spectroscopy Using Machine Learning Algorithms. ''Molecules''. 2023 Dec 29; '''29''' (1):
Predicting Phase 1 Lymphoma Clinical Trial Durations Using Machine Learning: An In-Depth Analysis and Broad Application Insights. Description: Long, Bowen, et al. Predicting Phase 1 Lymphoma Clinical Trial Durations Using Machine Learning: An In-Depth Analysis and Broad Application Insights. ''Clin Pract''. 2023 Dec 29; '''14''' (1):69-88
Explaining the Elusive Nature of a Well-Defined Threshold for Blood Transfusion in Advanced Epithelial Ovarian Cancer Cytoreductive Surgery. Description: Laios, Alexandros, et al. Explaining the Elusive Nature of a Well-Defined Threshold for Blood Transfusion in Advanced Epithelial Ovarian Cancer Cytoreductive Surgery. ''Diagnostics (Basel)''. 2023 Dec 30; '''14''' (1):
Reclassification of ASFV into 7 Biotypes Using Unsupervised Machine Learning. Description: Dinhobl, Mark, et al. Reclassification of ASFV into 7 Biotypes Using Unsupervised Machine Learning. ''Viruses''. 2023 Dec 30; '''16''' (1):
ThyroidNet: A Deep Learning Network for Localization and Classification of Thyroid Nodules. Description: Chen, Lu, et al. ThyroidNet: A Deep Learning Network for Localization and Classification of Thyroid Nodules. ''Comput Model Eng Sci''. 2023 Dec 30; '''139''' (1):361-382
Faecal Microbiota transplantation affects liver DNA methylation in Non-alcoholic fatty liver disease: a multi-omics approach. Description: Stols-Goncalves, Daniela, et al. Faecal Microbiota transplantation affects liver DNA methylation in Non-alcoholic fatty liver disease: a multi-omics approach. ''Gut Microbes''. 2023 Dec 31; '''15''' (1):2223330
AbImmPred: An immunogenicity prediction method for therapeutic antibodies using AntiBERTy-based sequence features. Description: Wang, Hong, et al. AbImmPred: An immunogenicity prediction method for therapeutic antibodies using AntiBERTy-based sequence features. ''PLoS One''. 2024; '''19''' (2):e0296737
A cost-sensitive deep neural network-based prediction model for the mortality in acute myocardial infarction patients with hypertension on imbalanced data. Description: Zheng, Huilin, et al. A cost-sensitive deep neural network-based prediction model for the mortality in acute myocardial infarction patients with hypertension on imbalanced data. ''Front Cardiovasc Med''. 2024; '''11''': 1276608
ACPPfel: Explainable deep ensemble learning for anticancer peptides prediction based on feature optimization. Description: Liu, Mingyou, et al. ACPPfel: Explainable deep ensemble learning for anticancer peptides prediction based on feature optimization. ''Front Genet''. 2024; '''15''': 1352504
A cross-cultural examination of temporal orientation through everyday language on social media. Description: Hou, Xin Daphne, et al. A cross-cultural examination of temporal orientation through everyday language on social media. ''PLoS One''. 2024; '''19''' (3):e0292963
Active learning strategies for robotic tactile texture recognition tasks. Description: Das, Shemonto, et al. Active learning strategies for robotic tactile texture recognition tasks. ''Front Robot AI''. 2024; '''11''': 1281060
A gut aging clock using microbiome multi-view profiles is associated with health and frail risk. Description: Wang, Hongchao, et al. A gut aging clock using microbiome multi-view profiles is associated with health and frail risk. ''Gut Microbes''. 2024 Jan-Dec; '''16''' (1):2297852
A machine learning approach using (18)F-FDG PET and enhanced CT scan-based radiomics combined with clinical model to predict pathological complete response in ESCC patients after neoadjuvant chemoradiotherapy and anti-PD-1 inhibitors. Description: Qi, Wei-Xiang, et al. A machine learning approach using (18)F-FDG PET and enhanced CT scan-based radiomics combined with clinical model to predict pathological complete response in ESCC patients after neoadjuvant chemoradiotherapy and anti-PD-1 inhibitors. ''Front Immunol''. 2024; '''15''': 1351750
A machine learning model to predict heart failure readmission: toward optimal feature set. Description: Jahangiri, Sonia, et al. A machine learning model to predict heart failure readmission: toward optimal feature set. ''Front Artif Intell''. 2024; '''7''': 1363226
Analyzing the correlation between protein expression and sequence-related features of mRNA and protein in Escherichia coli K-12 MG1655 model. Description: Truong, Nhat H M, et al. Analyzing the correlation between protein expression and sequence-related features of mRNA and protein in Escherichia coli K-12 MG1655 model. ''PLoS One''. 2024; '''19''' (2):e0288526
An Artificial Intelligence Platform to Stratify the Risk of Experiencing Sleep Disturbance in University Students After Analyzing Psychological Health, Lifestyle, and Sports: A Multicenter Externally Validated Study. Description: Zhang, Lirong, et al. An Artificial Intelligence Platform to Stratify the Risk of Experiencing Sleep Disturbance in University Students After Analyzing Psychological Health, Lifestyle, and Sports: A Multicenter Externally Validated Study. ''Psychol Res Behav Manag''. 2024; '''17''': 1057-1071
A Single Dermatome Clinical Prediction Rule for Independent Walking 1 Year After Spinal Cord Injury. Description: Smith, Andrew C, et al. A Single Dermatome Clinical Prediction Rule for Independent Walking 1 Year After Spinal Cord Injury. ''Arch Phys Med Rehabil''. 2024 Jan; '''105''' (1):10-19
Association between chiropractic spinal manipulation and cauda equina syndrome in adults with low back pain: Retrospective cohort study of US academic health centers. Description: Trager, Robert J, et al. Association between chiropractic spinal manipulation and cauda equina syndrome in adults with low back pain: Retrospective cohort study of US academic health centers. ''PLoS One''. 2024; '''19''' (3):e0299159
Automatic and interpretable prediction of the site of origin in outflow tract ventricular arrhythmias: machine learning integrating electrocardiograms and clinical data. Description: Bocanegra-Perez, Alvaro J, et al. Automatic and interpretable prediction of the site of origin in outflow tract ventricular arrhythmias: machine learning integrating electrocardiograms and clinical data. ''Front Cardiovasc Med''. 2024; '''11''': 1353096
Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study. Description: Ke, Si Yang, et al. Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study. ''Front Neurosci''. 2024; '''18''': 1330556
Classification of pleasantness of wind by electroencephalography. Description: Maruyama, Yasuhisa, et al. Classification of pleasantness of wind by electroencephalography. ''PLoS One''. 2024; '''19''' (2):e0299036
Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study. Description: Miller, Robert J H, et al. Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study. ''EBioMedicine''. 2024 Jan; '''99''': 104930
Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York City. Description: Takkavatakarn, Kullaya, et al. Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York City. ''PLoS One''. 2024; '''19''' (2):e0297919
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images. Description: Kwon, Kyung Won, et al. Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images. ''PLoS One''. 2024; '''19''' (3):e0297536
Determination of glomerular filtration rate "en passant" after high doses of iohexol for computed tomography in intensive care medicine-a proof of concept. Description: Dejaco, Alexander, et al. Determination of glomerular filtration rate "en passant" after high doses of iohexol for computed tomography in intensive care medicine-a proof of concept. ''Front Pharmacol''. 2024; '''15''': 1346343
Development and Validation of a Machine Learning Algorithm Using Clinical Pages to Predict Imminent Clinical Deterioration. Description: Steitz, Bryan D, et al. Development and Validation of a Machine Learning Algorithm Using Clinical Pages to Predict Imminent Clinical Deterioration. ''J Gen Intern Med''. 2024 Jan; '''39''' (1):27-35
Development and validation of machine learning-augmented algorithm for insulin sensitivity assessment in the community and primary care settings: a population-based study in China. Description: Zhang, Hao, et al. Development and validation of machine learning-augmented algorithm for insulin sensitivity assessment in the community and primary care settings: a population-based study in China. ''Front Endocrinol (Lausanne)''. 2024; '''15''': 1292346
Development of an innovative approach using portable eye tracking to assist ADHD screening: a machine learning study. Description: Yoo, Jae Hyun, et al. Development of an innovative approach using portable eye tracking to assist ADHD screening: a machine learning study. ''Front Psychiatry''. 2024; '''15''': 1337595
Effects of skin tone on photoacoustic imaging and oximetry. Description: Else, Thomas R, et al. Effects of skin tone on photoacoustic imaging and oximetry. ''J Biomed Opt''. 2024 Jan; '''29''' (Suppl 1):S11506
Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence. Description: Dindorf, Carlo, et al. Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence. ''Front Bioeng Biotechnol''. 2024; '''12''': 1350135
Ensemble machine learning reveals key features for diabetes duration from electronic health records. Description: Cerono, Gabriel, et al. Ensemble machine learning reveals key features for diabetes duration from electronic health records. ''PeerJ Comput Sci''. 2024; '''10''': e1896
Epileptic seizure prediction based on EEG using pseudo-three-dimensional CNN. Description: Liu, Xin, et al. Epileptic seizure prediction based on EEG using pseudo-three-dimensional CNN. ''Front Neuroinform''. 2024; '''18''': 1354436
Exercise training outcomes in patients with chronic heart failure with reduced ejection fraction depend on patient background. Description: Soejima, Yukako, et al. Exercise training outcomes in patients with chronic heart failure with reduced ejection fraction depend on patient background. ''Front Cardiovasc Med''. 2024; '''11''': 1330235
Explainable artificial intelligence for microbiome data analysis in colorectal cancer biomarker identification. Description: Novielli, Pierfrancesco, et al. Explainable artificial intelligence for microbiome data analysis in colorectal cancer biomarker identification. ''Front Microbiol''. 2024; '''15''': 1348974
Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations. Description: Duckworth, Christopher, et al. Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations. ''J Diabetes Sci Technol''. 2024 Jan; '''18''' (1):113-123
Exploring potential biomarkers and therapeutic targets in inflammatory bowel disease: insights from a mega-analysis approach. Description: Stemmer, Edia, et al. Exploring potential biomarkers and therapeutic targets in inflammatory bowel disease: insights from a mega-analysis approach. ''Front Immunol''. 2024; '''15''': 1353402
Exploring the predictors affecting the sense of community of Korean high school students: application of random forests and SHAP. Description: Jang, Eunah, et al. Exploring the predictors affecting the sense of community of Korean high school students: application of random forests and SHAP. ''Front Psychol''. 2024; '''15''': 1337512
External validation of a convolutional neural network algorithm for opportunistically detecting vertebral fractures in routine CT scans. Description: Nicolaes, Joeri, et al. External validation of a convolutional neural network algorithm for opportunistically detecting vertebral fractures in routine CT scans. ''Osteoporos Int''. 2024 Jan; '''35''' (1):143-152
FACEmemory(R), an Innovative Online Platform for Episodic Memory Pre-Screening: Findings from the First 3,000 Participants. Description: Alegret, Montserrat, et al. FACEmemory(R), an Innovative Online Platform for Episodic Memory Pre-Screening: Findings from the First 3,000 Participants. ''J Alzheimers Dis''. 2024; '''97''' (3):1173-1187
Fully automated MR-based virtual biopsy of primary CNS lymphomas. Description: Parmar, Vicky, et al. Fully automated MR-based virtual biopsy of primary CNS lymphomas. ''Neurooncol Adv''. 2024 Jan-Dec; '''6''' (1):vdae022
Functional hierarchies in brain dynamics characterized by signal reversibility in ferret cortex. Description: Idesis, Sebastian, et al. Functional hierarchies in brain dynamics characterized by signal reversibility in ferret cortex. ''PLoS Comput Biol''. 2024 Jan; '''20''' (1):e1011818
Gaitmap-An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking. Description: Kuderle, Arne, et al. Gaitmap-An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking. ''IEEE Open J Eng Med Biol''. 2024; '''5''': 163-172
Genetic drift promotes and recombination hinders speciation on holey fitness landscapes. Description: Kalirad, Ata, et al. Genetic drift promotes and recombination hinders speciation on holey fitness landscapes. ''PLoS Genet''. 2024 Jan; '''20''' (1):e1011126
GraphMHC: Neoantigen prediction model applying the graph neural network to molecular structure. Description: Jeong, Hoyeon, et al. GraphMHC: Neoantigen prediction model applying the graph neural network to molecular structure. ''PLoS One''. 2024; '''19''' (3):e0291223
Harmonizing multisite data with the ComBat method for enhanced Parkinson's disease diagnosis via DAT-SPECT. Description: Wakasugi, Noritaka, et al. Harmonizing multisite data with the ComBat method for enhanced Parkinson's disease diagnosis via DAT-SPECT. ''Front Neurol''. 2024; '''15''': 1306546
Histological, chemical and gene expression differences between western redcedar seedlings resistant and susceptible to cedar leaf blight. Description: Aldana, Juan A, et al. Histological, chemical and gene expression differences between western redcedar seedlings resistant and susceptible to cedar leaf blight. ''Front Plant Sci''. 2024; '''15''': 1309762
Identification, analysis and prediction of valid and false information related to vaccines from Romanian tweets. Description: Valeanu, Andrei, et al. Identification, analysis and prediction of valid and false information related to vaccines from Romanian tweets. ''Front Public Health''. 2024; '''12''': 1330801
Identification of L5 vertebra on lumbar spine radiographs using deep learning. Description: Kim, Jeoung Kun, et al. Identification of L5 vertebra on lumbar spine radiographs using deep learning. ''J Int Med Res''. 2024 Jan; '''52''' (1):3000605231223881
Identification of risk factors for the onset of delirium associated with COVID-19 by mining nursing records. Description: Miyazawa, Yusuke, et al. Identification of risk factors for the onset of delirium associated with COVID-19 by mining nursing records. ''PLoS One''. 2024; '''19''' (1):e0296760
Identification of TBK1 inhibitors against breast cancer using a computational approach supported by machine learning. Description: Siddiqui, Arif Jamal, et al. Identification of TBK1 inhibitors against breast cancer using a computational approach supported by machine learning. ''Front Pharmacol''. 2024; '''15''': 1342392
Identifying distinctive brain regions related to consumer choice behaviors on branded foods using activation likelihood estimation and machine learning. Description: Watanuki, Shinya. Identifying distinctive brain regions related to consumer choice behaviors on branded foods using activation likelihood estimation and machine learning. ''Front Comput Neurosci''. 2024; '''18''': 1310013
Identifying metabolic dysfunction-associated steatotic liver disease in patients with hypertension and pre-hypertension: An interpretable machine learning approach. Description: Chen, Chen, et al. Identifying metabolic dysfunction-associated steatotic liver disease in patients with hypertension and pre-hypertension: An interpretable machine learning approach. ''Digit Health''. 2024 Jan-Dec; '''10''': 20552076241233135
Immediate postnatal prediction of death or bronchopulmonary dysplasia among very preterm and very low birth weight infants based on gradient boosting decision trees algorithm: A nationwide database study in Japan. Description: Yoneda, Kota, et al. Immediate postnatal prediction of death or bronchopulmonary dysplasia among very preterm and very low birth weight infants based on gradient boosting decision trees algorithm: A nationwide database study in Japan. ''PLoS One''. 2024; '''19''' (3):e0300817
Impact of surgical approach on 90-day mortality after lung resection for nonsmall cell lung cancer in high-risk operable patients. Description: Etienne, Harry, et al. Impact of surgical approach on 90-day mortality after lung resection for nonsmall cell lung cancer in high-risk operable patients. ''ERJ Open Res''. 2024 Jan; '''10''' (1):
Improve the diagnosis of idiopathic normal pressure hydrocephalus by combining abnormal cortical thickness and ventricular morphometry. Description: Yang, Yifeng, et al. Improve the diagnosis of idiopathic normal pressure hydrocephalus by combining abnormal cortical thickness and ventricular morphometry. ''Front Aging Neurosci''. 2024; '''16''': 1338755
Improving the detection of sleep slow oscillations in electroencephalographic data. Description: Dimulescu, Cristiana, et al. Improving the detection of sleep slow oscillations in electroencephalographic data. ''Front Neuroinform''. 2024; '''18''': 1338886
Inefficacious drugs against covid-19: analysis of sales, tweets, and search engines. Description: Brito Junior, Irineu de, et al. Inefficacious drugs against covid-19: analysis of sales, tweets, and search engines. ''Rev Saude Publica''. 2024; '''58''': 06
In-hospital real-time prediction of COVID-19 severity regardless of disease phase using electronic health records. Description: Park, Hyungjun, et al. In-hospital real-time prediction of COVID-19 severity regardless of disease phase using electronic health records. ''PLoS One''. 2024; '''19''' (1):e0294362
Insights into non-informative results from non-invasive prenatal screening through gestational age, maternal BMI, and age analyses. Description: Gazdarica, Juraj, et al. Insights into non-informative results from non-invasive prenatal screening through gestational age, maternal BMI, and age analyses. ''PLoS One''. 2024; '''19''' (3):e0280858
Interpretable machine learning-based individual analysis of acute kidney injury in immune checkpoint inhibitor therapy. Description: Sakuragi, Minoru, et al. Interpretable machine learning-based individual analysis of acute kidney injury in immune checkpoint inhibitor therapy. ''PLoS One''. 2024; '''19''' (3):e0298673
Interrogation and validation of the interactome of neuronal Munc18-interacting Mint proteins with AlphaFold2. Description: Weeratunga, Saroja, et al. Interrogation and validation of the interactome of neuronal Munc18-interacting Mint proteins with AlphaFold2. ''J Biol Chem''. 2024 Jan; '''300''' (1):105541
Investigating the ability of deep learning-based structure prediction to extrapolate and/or enrich the set of antibody CDR canonical forms. Description: Greenshields-Watson, Alexander, et al. Investigating the ability of deep learning-based structure prediction to extrapolate and/or enrich the set of antibody CDR canonical forms. ''Front Immunol''. 2024; '''15''': 1352703
Label-free quantification of host cell protein impurity in recombinant hemoglobin materials. Description: Henrion, Andre, et al. Label-free quantification of host cell protein impurity in recombinant hemoglobin materials. ''Anal Bioanal Chem''. 2024 Jan; '''416''' (2):387-396
Large-Scale Machine Learning Analysis Reveals DNA Methylation and Gene Expression Response Signatures for Gemcitabine-Treated Pancreatic Cancer. Description: Ogunleye, Adeolu, et al. Large-Scale Machine Learning Analysis Reveals DNA Methylation and Gene Expression Response Signatures for Gemcitabine-Treated Pancreatic Cancer. ''Health Data Sci''. 2024; '''4''': 0108
Machine learning-based evaluation of spontaneous pain and analgesics from cellular calcium signals in the mouse primary somatosensory cortex using explainable features. Description: Bak, Myeong Seong, et al. Machine learning-based evaluation of spontaneous pain and analgesics from cellular calcium signals in the mouse primary somatosensory cortex using explainable features. ''Front Mol Neurosci''. 2024; '''17''': 1356453
Machine learning-based identification of contrast-enhancement phase of computed tomography scans. Description: Guha, Siddharth, et al. Machine learning-based identification of contrast-enhancement phase of computed tomography scans. ''PLoS One''. 2024; '''19''' (2):e0294581
Machine learning-based test smell detection. Description: Pontillo, Valeria, et al. Machine learning-based test smell detection. ''Empir Softw Eng''. 2024; '''29''' (2):55
Machine learning models to predict success of endoscopic sleeve gastroplasty using total and excess weight loss percent achievement: a multicentre study. Description: Vannucci, Maria, et al. Machine learning models to predict success of endoscopic sleeve gastroplasty using total and excess weight loss percent achievement: a multicentre study. ''Surg Endosc''. 2024 Jan; '''38''' (1):229-239
Mapping clinical interactions in an Australian tertiary hospital emergency department for patients presenting with risk of suicide or self-harm: Network modeling from observational data. Description: McCullough, Michael H, et al. Mapping clinical interactions in an Australian tertiary hospital emergency department for patients presenting with risk of suicide or self-harm: Network modeling from observational data. ''PLoS Med''. 2024 Jan; '''21''' (1):e1004241
MetaQuad: shared informative variants discovery in metagenomic samples. Description: Xu, Sheng, et al. MetaQuad: shared informative variants discovery in metagenomic samples. ''Bioinform Adv''. 2024; '''4''' (1):vbae030
Mining human periodic behaviors via tensor factorization and entropy. Description: Yi, Feng, et al. Mining human periodic behaviors via tensor factorization and entropy. ''PeerJ Comput Sci''. 2024; '''10''': e1851
Modeling fragment counts improves single-cell ATAC-seq analysis. Description: Martens, Laura D, et al. Modeling fragment counts improves single-cell ATAC-seq analysis. ''Nat Methods''. 2024 Jan; '''21''' (1):28-31
Motilin fluctuations in healthy volunteers determined by liquid chromatography mass spectrometry. Description: Foreman, Rachel E, et al. Motilin fluctuations in healthy volunteers determined by liquid chromatography mass spectrometry. ''Front Endocrinol (Lausanne)''. 2024; '''15''': 1348146
Multitask and Transfer Learning Approach for Joint Classification and Severity Estimation of Dysphonia. Description: Aziz, Dosti, et al. Multitask and Transfer Learning Approach for Joint Classification and Severity Estimation of Dysphonia. ''IEEE J Transl Eng Health Med''. 2024; '''12''': 233-244
Neuronal tuning to threat exposure remains stable in the mouse prefrontal cortex over multiple days. Description: Sylte, Ole Christian, et al. Neuronal tuning to threat exposure remains stable in the mouse prefrontal cortex over multiple days. ''PLoS Biol''. 2024 Jan; '''22''' (1):e3002475
Non fire-adapted dry forest of Northwestern Madagascar: Escalating and devastating trends revealed by Landsat timeseries and GEDI lidar data. Description: Percival, Joseph Emile Honour, et al. Non fire-adapted dry forest of Northwestern Madagascar: Escalating and devastating trends revealed by Landsat timeseries and GEDI lidar data. ''PLoS One''. 2024; '''19''' (2):e0290203
Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction. Description: Munshi, Raafat M. Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction. ''PLoS One''. 2024; '''19''' (1):e0296107
On decoding of rapid motor imagery in a diverse population using a high-density NIRS device. Description: Kothe, Christian, et al. On decoding of rapid motor imagery in a diverse population using a high-density NIRS device. ''Front Neuroergon''. 2024; '''5''': 1355534
Optimal decoding of neural dynamics occurs at mesoscale spatial and temporal resolutions. Description: Samiei, Toktam, et al. Optimal decoding of neural dynamics occurs at mesoscale spatial and temporal resolutions. ''Front Cell Neurosci''. 2024; '''18''': 1287123
Optimization of number and range of shunt valve performance levels in infant hydrocephalus: a machine learning analysis. Description: Waterstraat, Mark Graham, et al. Optimization of number and range of shunt valve performance levels in infant hydrocephalus: a machine learning analysis. ''Front Bioeng Biotechnol''. 2024; '''12''': 1352490
Optimizer's dilemma: optimization strongly influences model selection in transcriptomic prediction. Description: Crawford, Jake, et al. Optimizer's dilemma: optimization strongly influences model selection in transcriptomic prediction. ''Bioinform Adv''. 2024; '''4''' (1):vbae004
Predictable regulation of survival by intratumoral microbe-immune crosstalk in patients with lung adenocarcinoma. Description: Shi, Shuo, et al. Predictable regulation of survival by intratumoral microbe-immune crosstalk in patients with lung adenocarcinoma. ''Microb Cell''. 2024; '''11''': 29-40
Predicting cervical cancer target motion using a multivariate regression model to enable patient selection for adaptive external beam radiotherapy. Description: Wang, Lei, et al. Predicting cervical cancer target motion using a multivariate regression model to enable patient selection for adaptive external beam radiotherapy. ''Phys Imaging Radiat Oncol''. 2024 Jan; '''29''': 100554
Predicting preterm birth using auto-ML frameworks: a large observational study using electronic inpatient discharge data. Description: Kong, Deming, et al. Predicting preterm birth using auto-ML frameworks: a large observational study using electronic inpatient discharge data. ''Front Pediatr''. 2024; '''12''': 1330420
Predicting radiographic outcomes of vertebral body tethering in adolescent idiopathic scoliosis patients using machine learning. Description: Alfraihat, Ausilah, et al. Predicting radiographic outcomes of vertebral body tethering in adolescent idiopathic scoliosis patients using machine learning. ''PLoS One''. 2024; '''19''' (1):e0296739
Prediction Model of Ocular Metastases in Gastric Adenocarcinoma: Machine Learning-Based Development and Interpretation Study. Description: Zou, Jie, et al. Prediction Model of Ocular Metastases in Gastric Adenocarcinoma: Machine Learning-Based Development and Interpretation Study. ''Technol Cancer Res Treat''. 2024 Jan-Dec; '''23''': 15330338231219352
Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation. Description: Liu, Lianhua, et al. Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation. ''Front Endocrinol (Lausanne)''. 2024; '''15''': 1320335
Predictive Models for Canadian Healthcare Workers Mental Health During COVID-19. Description: Kumari, Bhawna, et al. Predictive Models for Canadian Healthcare Workers Mental Health During COVID-19. ''J Prim Care Community Health''. 2024 Jan-Dec; '''15''': 21501319241241468
Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus. Description: Zhou, Huien, et al. Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus. ''Front Endocrinol (Lausanne)''. 2024; '''15''': 1344666
Random forest analysis of midbrain hypometabolism using [(18)F]-FDG PET identifies Parkinson's disease at the subject-level. Description: Ruppert-Junck, Marina C, et al. Random forest analysis of midbrain hypometabolism using [(18)F]-FDG PET identifies Parkinson's disease at the subject-level. ''Front Comput Neurosci''. 2024; '''18''': 1328699
Rapid identification of the geographical origin of Baimudan tea using a Multi-AdaBoost model integrated with Raman Spectroscopy. Description: Pan, Wei, et al. Rapid identification of the geographical origin of Baimudan tea using a Multi-AdaBoost model integrated with Raman Spectroscopy. ''Curr Res Food Sci''. 2024; '''8''': 100654
Real-time EEG-based emotion recognition for neurohumanities: perspectives from principal component analysis and tree-based algorithms. Description: Blanco-Rios, Miguel Alejandro, et al. Real-time EEG-based emotion recognition for neurohumanities: perspectives from principal component analysis and tree-based algorithms. ''Front Hum Neurosci''. 2024; '''18''': 1319574
Seq2Phase: language model-based accurate prediction of client proteins in liquid-liquid phase separation. Description: Miyata, Kazuki, et al. Seq2Phase: language model-based accurate prediction of client proteins in liquid-liquid phase separation. ''Bioinform Adv''. 2024; '''4''' (1):vbad189
Serum identification of at-risk MASH: The metabolomics-advanced steatohepatitis fibrosis score (MASEF). Description: Noureddin, Mazen, et al. Serum identification of at-risk MASH: The metabolomics-advanced steatohepatitis fibrosis score (MASEF). ''Hepatology''. 2024 Jan 1; '''79''' (1):135-148
Single-cell spatial multi-omics and deep learning dissect enhancer-driven gene regulatory networks in liver zonation. Description: Bravo Gonzalez-Blas, Carmen, et al. Single-cell spatial multi-omics and deep learning dissect enhancer-driven gene regulatory networks in liver zonation. ''Nat Cell Biol''. 2024 Jan; '''26''' (1):153-167
Task-adaptive physical reservoir computing. Description: Lee, Oscar, et al. Task-adaptive physical reservoir computing. ''Nat Mater''. 2024 Jan; '''23''' (1):79-87
The impact of gut microbiome enterotypes on ulcerative colitis: identifying key bacterial species and revealing species co-occurrence networks using machine learning. Description: Wu, Xuangao, et al. The impact of gut microbiome enterotypes on ulcerative colitis: identifying key bacterial species and revealing species co-occurrence networks using machine learning. ''Gut Microbes''. 2024 Jan-Dec; '''16''' (1):2292254
The protective effect of tumor necrosis factor-alpha inhibitors in COVID-19 in patients with inflammatory rheumatic diseases compared to the general population-A comparison of two German registries. Description: Hasseli, Rebecca, et al. The protective effect of tumor necrosis factor-alpha inhibitors in COVID-19 in patients with inflammatory rheumatic diseases compared to the general population-A comparison of two German registries. ''Front Med (Lausanne)''. 2024; '''11''': 1332716
Time-based prospective memory in preschoolers - the role of time monitoring behavior. Description: Szpakiewicz, Elzbieta, et al. Time-based prospective memory in preschoolers - the role of time monitoring behavior. ''Front Psychol''. 2024; '''15''': 1276517
Unraveling C-to-U RNA editing events from direct RNA sequencing. Description: Fonzino, Adriano, et al. Unraveling C-to-U RNA editing events from direct RNA sequencing. ''RNA Biol''. 2024 Jan; '''21''' (1):1-14
A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer. Description: Li, Ye, et al. A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer. ''Eur Radiol Exp''. 2024 Jan 2; '''8''' (1):2
Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing. Description: Klaproth-Andrade, Daniela, et al. Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing. ''Nat Commun''. 2024 Jan 2; '''15''' (1):151
MRI or (18)F-FDG PET for Brain Age Gap Estimation: Links to Cognition, Pathology, and Alzheimer Disease Progression. Description: Doering, Elena, et al. MRI or (18)F-FDG PET for Brain Age Gap Estimation: Links to Cognition, Pathology, and Alzheimer Disease Progression. ''J Nucl Med''. 2024 Jan 2; '''65''' (1):147-155
Predicting Implantable Collamer Lens Vault Using Machine Learning Based on Various Preoperative Biometric Factors. Description: Di, Yu, et al. Predicting Implantable Collamer Lens Vault Using Machine Learning Based on Various Preoperative Biometric Factors. ''Transl Vis Sci Technol''. 2024 Jan 2; '''13''' (1):8
Publication of Results of Registered Trials With Published Study Protocols, 2011-2022. Description: Vorland, Colby J, et al. Publication of Results of Registered Trials With Published Study Protocols, 2011-2022. ''JAMA Netw Open''. 2024 Jan 2; '''7''' (1):e2350688
Aberrant resting-state co-activation network dynamics in major depressive disorder. Description: An, Ziqi, et al. Aberrant resting-state co-activation network dynamics in major depressive disorder. ''Transl Psychiatry''. 2024 Jan 3; '''14''' (1):1
An opponent striatal circuit for distributional reinforcement learning. Description: Lowet, Adam S, et al. An opponent striatal circuit for distributional reinforcement learning. ''bioRxiv''. 2024 Jan 3;
Cell and tissue-specific glycosylation pathways informed by single-cell transcriptomics. Description: Chrysinas, Panagiotis, et al. Cell and tissue-specific glycosylation pathways informed by single-cell transcriptomics. ''bioRxiv''. 2024 Jan 3;
InterDILI: interpretable prediction of drug-induced liver injury through permutation feature importance and attention mechanism. Description: Lee, Soyeon, et al. InterDILI: interpretable prediction of drug-induced liver injury through permutation feature importance and attention mechanism. ''J Cheminform''. 2024 Jan 3; '''16''' (1):1
Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site. Description: Levy, Joshua J, et al. Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site. ''NPJ Precis Oncol''. 2024 Jan 3; '''8''' (1):2
Machine learning-based radiomics strategy for prediction of acquired EGFR T790M mutation following treatment with EGFR-TKI in NSCLC. Description: Lu, Jiameng, et al. Machine learning-based radiomics strategy for prediction of acquired EGFR T790M mutation following treatment with EGFR-TKI in NSCLC. ''Sci Rep''. 2024 Jan 3; '''14''' (1):446
Predicting cell types with supervised contrastive learning on cells and their types. Description: Heryanto, Yusri Dwi, et al. Predicting cell types with supervised contrastive learning on cells and their types. ''Sci Rep''. 2024 Jan 3; '''14''' (1):430
SVR Chemometrics to Quantify beta-Lactoglobulin and alpha-Lactalbumin in Milk Using MIR. Description: Babatunde, Habeeb Abolaji, et al. SVR Chemometrics to Quantify beta-Lactoglobulin and alpha-Lactalbumin in Milk Using MIR. ''Foods''. 2024 Jan 3; '''13''' (1):
Enhancing heart disease prediction using a self-attention-based transformer model. Description: Rahman, Atta Ur, et al. Enhancing heart disease prediction using a self-attention-based transformer model. ''Sci Rep''. 2024 Jan 4; '''14''' (1):514
Analysis of Wheat Grain Infection by Fusarium Mycotoxin-Producing Fungi Using an Electronic Nose, GC-MS, and qPCR. Description: Borowik, Piotr, et al. Analysis of Wheat Grain Infection by Fusarium Mycotoxin-Producing Fungi Using an Electronic Nose, GC-MS, and qPCR. ''Sensors (Basel)''. 2024 Jan 5; '''24''' (2):
An Interpretable Approach with Explainable AI for Heart Stroke Prediction. Description: Srinivasu, Parvathaneni Naga, et al. An Interpretable Approach with Explainable AI for Heart Stroke Prediction. ''Diagnostics (Basel)''. 2024 Jan 5; '''14''' (2):
Changes in oscillatory patterns of microstate sequence in patients with first-episode psychosis. Description: Zhou, Dong-Dong, et al. Changes in oscillatory patterns of microstate sequence in patients with first-episode psychosis. ''Sci Data''. 2024 Jan 5; '''11''' (1):38
Characterizing immune variation and diagnostic indicators of preeclampsia by single-cell RNA sequencing and machine learning. Description: Zhou, Wenwen, et al. Characterizing immune variation and diagnostic indicators of preeclampsia by single-cell RNA sequencing and machine learning. ''Commun Biol''. 2024 Jan 5; '''7''' (1):32
Convergence of resistance and evolutionary responses in Escherichia coli and Salmonella enterica co-inhabiting chicken farms in China. Description: Baker, Michelle, et al. Convergence of resistance and evolutionary responses in Escherichia coli and Salmonella enterica co-inhabiting chicken farms in China. ''Nat Commun''. 2024 Jan 5; '''15''' (1):206
DBPP-Predictor: a novel strategy for prediction of chemical drug-likeness based on property profiles. Description: Gu, Yaxin, et al. DBPP-Predictor: a novel strategy for prediction of chemical drug-likeness based on property profiles. ''J Cheminform''. 2024 Jan 5; '''16''' (1):4
Graph Neural Network Model for Prediction of Non-Small Cell Lung Cancer Lymph Node Metastasis Using Protein-Protein Interaction Network and (18)F-FDG PET/CT Radiomics. Description: Ju, Hyemin, et al. Graph Neural Network Model for Prediction of Non-Small Cell Lung Cancer Lymph Node Metastasis Using Protein-Protein Interaction Network and (18)F-FDG PET/CT Radiomics. ''Int J Mol Sci''. 2024 Jan 5; '''25''' (2):
Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study. Description: Lee, Kyung Hwa, et al. Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study. ''NPJ Digit Med''. 2024 Jan 5; '''7''' (1):2
Machine Learning in the Parkinson's disease smartwatch (PADS) dataset. Description: Varghese, Julian, et al. Machine Learning in the Parkinson's disease smartwatch (PADS) dataset. ''NPJ Parkinsons Dis''. 2024 Jan 5; '''10''' (1):9
Quantitative Predictive Studies of Multiple Biological Activities of TRPV1 Modulators. Description: Wei, Xinmiao, et al. Quantitative Predictive Studies of Multiple Biological Activities of TRPV1 Modulators. ''Molecules''. 2024 Jan 5; '''29''' (2):
Radiomic tractometry reveals tract-specific imaging biomarkers in white matter. Description: Neher, Peter, et al. Radiomic tractometry reveals tract-specific imaging biomarkers in white matter. ''Nat Commun''. 2024 Jan 5; '''15''' (1):303
Vibroscape analysis reveals acoustic niche overlap and plastic alteration of vibratory courtship signals in ground-dwelling wolf spiders. Description: Choi, Noori, et al. Vibroscape analysis reveals acoustic niche overlap and plastic alteration of vibratory courtship signals in ground-dwelling wolf spiders. ''Commun Biol''. 2024 Jan 5; '''7''' (1):23
Acute ischemic stroke prediction and predictive factors analysis using hematological indicators in elderly hypertensives post-transient ischemic attack. Description: Shu, Chang, et al. Acute ischemic stroke prediction and predictive factors analysis using hematological indicators in elderly hypertensives post-transient ischemic attack. ''Sci Rep''. 2024 Jan 6; '''14''' (1):695
Real-Time AI-Assisted Push-Broom Hyperspectral System for Precision Agriculture. Description: Neri, Igor, et al. Real-Time AI-Assisted Push-Broom Hyperspectral System for Precision Agriculture. ''Sensors (Basel)''. 2024 Jan 6; '''24''' (2):
The effect of feature normalization methods in radiomics. Description: Demircioglu, Aydin. The effect of feature normalization methods in radiomics. ''Insights Imaging''. 2024 Jan 7; '''15''' (1):2
A robust microbiome signature for autism spectrum disorder across different studies using machine learning. Description: Peralta-Marzal, Lucia N, et al. A robust microbiome signature for autism spectrum disorder across different studies using machine learning. ''Sci Rep''. 2024 Jan 8; '''14''' (1):814
Classification of the Crosslink Density Level of Para Rubber Thick Film of Medical Glove by Using Near-Infrared Spectral Data. Description: Jongyingcharoen, Jiraporn Sripinyowanich, et al. Classification of the Crosslink Density Level of Para Rubber Thick Film of Medical Glove by Using Near-Infrared Spectral Data. ''Polymers (Basel)''. 2024 Jan 8; '''16''' (2):
Developmental basis of SHH medulloblastoma heterogeneity. Description: Gold, Maxwell P, et al. Developmental basis of SHH medulloblastoma heterogeneity. ''Nat Commun''. 2024 Jan 8; '''15''' (1):270
Identifying misdiagnosed bipolar disorder using support vector machine: feature selection based on fMRI of follow-up confirmed affective disorders. Description: Jiang, Xiaowei, et al. Identifying misdiagnosed bipolar disorder using support vector machine: feature selection based on fMRI of follow-up confirmed affective disorders. ''Transl Psychiatry''. 2024 Jan 8; '''14''' (1):9
Long-Term Impact of Childhood Adversity on the Gut Microbiome of Nursing Students. Description: Kazemian, Negin, et al. Long-Term Impact of Childhood Adversity on the Gut Microbiome of Nursing Students. ''Int J Environ Res Public Health''. 2024 Jan 8; '''21''' (1):
Machine Learning-based Classification of transcriptome Signatures of non-ulcerative Bladder Pain Syndrome. Description: Akshay, Akshay, et al. Machine Learning-based Classification of transcriptome Signatures of non-ulcerative Bladder Pain Syndrome. ''bioRxiv''. 2024 Jan 8;
Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases. Description: Ogunpola, Adedayo, et al. Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases. ''Diagnostics (Basel)''. 2024 Jan 8; '''14''' (2):
Surface-Enhanced Raman Spectroscopy Using a Silver Nanostar Substrate for Neonicotinoid Pesticides Detection. Description: Abu Bakar, Norhayati, et al. Surface-Enhanced Raman Spectroscopy Using a Silver Nanostar Substrate for Neonicotinoid Pesticides Detection. ''Sensors (Basel)''. 2024 Jan 8; '''24''' (2):
Deep learning-radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients. Description: Kim, Seonhwa, et al. Deep learning-radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients. ''Sci Rep''. 2024 Jan 9; '''14''' (1):922
Development of prediction models to identify hotspots of schistosomiasis in endemic regions to guide mass drug administration. Description: Singer, Benjamin J, et al. Development of prediction models to identify hotspots of schistosomiasis in endemic regions to guide mass drug administration. ''Proc Natl Acad Sci U S A''. 2024 Jan 9; '''121''' (2):e2315463120
Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study. Description: Boncan, Delbert Almerick T, et al. Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study. ''NPJ Aging''. 2024 Jan 9; '''10''' (1):4
Neurocognitive correlates of semantic memory navigation in Parkinson's disease. Description: Toro-Hernandez, Felipe Diego, et al. Neurocognitive correlates of semantic memory navigation in Parkinson's disease. ''NPJ Parkinsons Dis''. 2024 Jan 9; '''10''' (1):15
Classification of MLH1 Missense VUS Using Protein Structure-Based Deep Learning-Ramachandran Plot-Molecular Dynamics Simulations Method. Description: Tam, Benjamin, et al. Classification of MLH1 Missense VUS Using Protein Structure-Based Deep Learning-Ramachandran Plot-Molecular Dynamics Simulations Method. ''Int J Mol Sci''. 2024 Jan 10; '''25''' (2):
Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study. Description: Hou, Benjamin, et al. Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study. ''ArXiv''. 2024 Jan 10;
Machine-learning-accelerated design of high-performance platinum intermetallic nanoparticle fuel cell catalysts. Description: Yin, Peng, et al. Machine-learning-accelerated design of high-performance platinum intermetallic nanoparticle fuel cell catalysts. ''Nat Commun''. 2024 Jan 10; '''15''' (1):415
Predicting Salmonella MIC and Deciphering Genomic Determinants of Antibiotic Resistance and Susceptibility. Description: Ayoola, Moses B, et al. Predicting Salmonella MIC and Deciphering Genomic Determinants of Antibiotic Resistance and Susceptibility. ''Microorganisms''. 2024 Jan 10; '''12''' (1):
Subject-specific sensitivity of several biomechanical features to fatigue during an exhaustive treadmill run. Description: Chalitsios, Christos, et al. Subject-specific sensitivity of several biomechanical features to fatigue during an exhaustive treadmill run. ''Sci Rep''. 2024 Jan 10; '''14''' (1):1004
Toxicity Assessment of Mixed Exposure of Nine Perfluoroalkyl Substances at Concentrations Relevant to Daily Intake. Description: Takeda, Kazuki, et al. Toxicity Assessment of Mixed Exposure of Nine Perfluoroalkyl Substances at Concentrations Relevant to Daily Intake. ''Toxics''. 2024 Jan 10; '''12''' (1):
Cobdock: an accurate and practical machine learning-based consensus blind docking method. Description: Ugurlu, Sadettin Y, et al. Cobdock: an accurate and practical machine learning-based consensus blind docking method. ''J Cheminform''. 2024 Jan 11; '''16''' (1):5
Identification of Predictors of Mood Disorder Misdiagnosis and Subsequent Help-Seeking Behavior in Individuals With Depressive Symptoms: Gradient-Boosted Tree Machine Learning Approach. Description: Benacek, Jiri, et al. Identification of Predictors of Mood Disorder Misdiagnosis and Subsequent Help-Seeking Behavior in Individuals With Depressive Symptoms: Gradient-Boosted Tree Machine Learning Approach. ''JMIR Ment Health''. 2024 Jan 11; '''11''': e50738
Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect machine learning and data integration. Description: Yu, Yanying, et al. Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect machine learning and data integration. ''Genome Biol''. 2024 Jan 11; '''25''' (1):13
Machine-learning model for predicting oliguria in critically ill patients. Description: Yamao, Yasuo, et al. Machine-learning model for predicting oliguria in critically ill patients. ''Sci Rep''. 2024 Jan 11; '''14''' (1):1054
Machine-learning model predicting quality of life using multifaceted lifestyles in middle-aged South Korean adults: a cross-sectional study. Description: Kim, Junho, et al. Machine-learning model predicting quality of life using multifaceted lifestyles in middle-aged South Korean adults: a cross-sectional study. ''BMC Public Health''. 2024 Jan 11; '''24''' (1):159
On the Assessment of Strawberries' Shelf-Life and Quality, Based on Image Analysis, Physicochemical Methods, and Chemometrics. Description: Ladika, Georgia, et al. On the Assessment of Strawberries' Shelf-Life and Quality, Based on Image Analysis, Physicochemical Methods, and Chemometrics. ''Foods''. 2024 Jan 11; '''13''' (2):
Quantitative Structure-Reactivity Relationships for Synthesis Planning: The Benzhydrylium Case. Description: Eckhoff, Maike, et al. Quantitative Structure-Reactivity Relationships for Synthesis Planning: The Benzhydrylium Case. ''J Phys Chem A''. 2024 Jan 11; '''128''' (1):343-354
XGB Modeling Reveals Improvement of Compressive Strength of Cement-Based Composites with Addition of HPMC and Chitosan. Description: Ege, Duygu, et al. XGB Modeling Reveals Improvement of Compressive Strength of Cement-Based Composites with Addition of HPMC and Chitosan. ''Materials (Basel)''. 2024 Jan 11; '''17''' (2):
Automatic feature engineering for catalyst design using small data without prior knowledge of target catalysis. Description: Taniike, Toshiaki, et al. Automatic feature engineering for catalyst design using small data without prior knowledge of target catalysis. ''Commun Chem''. 2024 Jan 12; '''7''' (1):11
Comparing deep learning and handcrafted radiomics to predict chemoradiotherapy response for locally advanced cervical cancer using pretreatment MRI. Description: Jeong, Sungmoon, et al. Comparing deep learning and handcrafted radiomics to predict chemoradiotherapy response for locally advanced cervical cancer using pretreatment MRI. ''Sci Rep''. 2024 Jan 12; '''14''' (1):1180
Comparing divisome organization between vegetative and sporulating Bacillus subtilis at the nanoscale using DNA-PAINT. Description: Cramer, Kimberly, et al. Comparing divisome organization between vegetative and sporulating Bacillus subtilis at the nanoscale using DNA-PAINT. ''Sci Adv''. 2024 Jan 12; '''10''' (2):eadk5847
Developing an advanced prediction model for new employee turnover intention utilizing machine learning techniques. Description: Park, Jungryeol, et al. Developing an advanced prediction model for new employee turnover intention utilizing machine learning techniques. ''Sci Rep''. 2024 Jan 12; '''14''' (1):1221
Entropy removal of medical diagnostics. Description: He, Shuhan, et al. Entropy removal of medical diagnostics. ''Sci Rep''. 2024 Jan 12; '''14''' (1):1181
Hyperspectral Imaging Using a Convolutional Neural Network with Transformer for the Soluble Solid Content and pH Prediction of Cherry Tomatoes. Description: Qi, Hengnian, et al. Hyperspectral Imaging Using a Convolutional Neural Network with Transformer for the Soluble Solid Content and pH Prediction of Cherry Tomatoes. ''Foods''. 2024 Jan 12; '''13''' (2):
Machine Learning for COVID-19 Determination Using Surface-Enhanced Raman Spectroscopy. Description: Szymborski, Tomasz R, et al. Machine Learning for COVID-19 Determination Using Surface-Enhanced Raman Spectroscopy. ''Biomedicines''. 2024 Jan 12; '''12''' (1):
Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach. Description: Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach. ''Nat Commun''. 2024 Jan 12; '''15''' (1):488
Unsupervised spatially embedded deep representation of spatial transcriptomics. Description: Xu, Hang, et al. Unsupervised spatially embedded deep representation of spatial transcriptomics. ''Genome Med''. 2024 Jan 12; '''16''' (1):12
Decoding hand and wrist movement intention from chronic stroke survivors with hemiparesis using a user-friendly, wearable EMG-based neural interface. Description: Meyers, Eric C, et al. Decoding hand and wrist movement intention from chronic stroke survivors with hemiparesis using a user-friendly, wearable EMG-based neural interface. ''J Neuroeng Rehabil''. 2024 Jan 13; '''21''' (1):7
Free Energy Barriers for Passive Drug Transport through the Mycobacterium tuberculosis Outer Membrane: A Molecular Dynamics Study. Description: Steshin, Ilya S, et al. Free Energy Barriers for Passive Drug Transport through the Mycobacterium tuberculosis Outer Membrane: A Molecular Dynamics Study. ''Int J Mol Sci''. 2024 Jan 13; '''25''' (2):
Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning. Description: Bolton, William J, et al. Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning. ''Nat Commun''. 2024 Jan 13; '''15''' (1):506
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma. Description: Chanda, Tirtha, et al. Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma. ''Nat Commun''. 2024 Jan 15; '''15''' (1):524
Idiopathic pulmonary fibrosis-specific Bayesian network integrating extracellular vesicle proteome and clinical information. Description: Tomoto, Mei, et al. Idiopathic pulmonary fibrosis-specific Bayesian network integrating extracellular vesicle proteome and clinical information. ''Sci Rep''. 2024 Jan 15; '''14''' (1):1315
Investigation of different ML approaches in classification of emotions induced by acute stress. Description: Sourkatti, Heba, et al. Investigation of different ML approaches in classification of emotions induced by acute stress. ''Heliyon''. 2024 Jan 15; '''10''' (1):e23611
Machine learning predictors of risk of death within 7 days in patients with non-traumatic subarachnoid hemorrhage in the intensive care unit: A multicenter retrospective study. Description: Gu, Longyuan, et al. Machine learning predictors of risk of death within 7 days in patients with non-traumatic subarachnoid hemorrhage in the intensive care unit: A multicenter retrospective study. ''Heliyon''. 2024 Jan 15; '''10''' (1):e23943
Spherical harmonics analysis reveals cell shape-fate relationships in zebrafish lateral line neuromasts. Description: Hewitt, Madeleine N, et al. Spherical harmonics analysis reveals cell shape-fate relationships in zebrafish lateral line neuromasts. ''Development''. 2024 Jan 15; '''151''' (2):
An electroencephalographic signature predicts craving for methamphetamine. Description: Tian, Weiwen, et al. An electroencephalographic signature predicts craving for methamphetamine. ''Cell Rep Med''. 2024 Jan 16; '''5''' (1):101347
A Review of Intraocular Lens Power Calculation Formulas Based on Artificial Intelligence. Description: Stopyra, Wiktor, et al. A Review of Intraocular Lens Power Calculation Formulas Based on Artificial Intelligence. ''J Clin Med''. 2024 Jan 16; '''13''' (2):
Designed allosteric protein logic. Description: Plaper, Tjasa, et al. Designed allosteric protein logic. ''Cell Discov''. 2024 Jan 16; '''10''' (1):8
Integration of individualized and population-level molecular epidemiology data to model COVID-19 outcomes. Description: Ling-Hu, Ted, et al. Integration of individualized and population-level molecular epidemiology data to model COVID-19 outcomes. ''Cell Rep Med''. 2024 Jan 16; '''5''' (1):101361
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research. Description: Golob, Jonathan L, et al. Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research. ''Cell Rep Med''. 2024 Jan 16; '''5''' (1):101350
Microscopic mechanisms of pressure-induced amorphous-amorphous transitions and crystallisation in silicon. Description: Fan, Zhao, et al. Microscopic mechanisms of pressure-induced amorphous-amorphous transitions and crystallisation in silicon. ''Nat Commun''. 2024 Jan 16; '''15''' (1):368
Multimodal epigenetic sequencing analysis (MESA) of cell-free DNA for non-invasive colorectal cancer detection. Description: Li, Yumei, et al. Multimodal epigenetic sequencing analysis (MESA) of cell-free DNA for non-invasive colorectal cancer detection. ''Genome Med''. 2024 Jan 16; '''16''' (1):9
Rapid learning of temporal dependencies at multiple timescales. Description: Smith, Cybelle M, et al. Rapid learning of temporal dependencies at multiple timescales. ''bioRxiv''. 2024 Jan 16;
The Optimization of a Natural Language Processing Approach for the Automatic Detection of Alzheimer's Disease Using GPT Embeddings. Description: Runde, Benjamin S, et al. The Optimization of a Natural Language Processing Approach for the Automatic Detection of Alzheimer's Disease Using GPT Embeddings. ''medRxiv''. 2024 Jan 16;
Analysis of the Mouse Hepatic Peroxisome Proteome-Identification of Novel Protein Constituents Using a Semi-Quantitative SWATH-MS Approach. Description: Singin, Oznur, et al. Analysis of the Mouse Hepatic Peroxisome Proteome-Identification of Novel Protein Constituents Using a Semi-Quantitative SWATH-MS Approach. ''Cells''. 2024 Jan 17; '''13''' (2):
Development of a combined radiomics and CT feature-based model for differentiating malignant from benign subcentimeter solid pulmonary nodules. Description: Liu, Jianing, et al. Development of a combined radiomics and CT feature-based model for differentiating malignant from benign subcentimeter solid pulmonary nodules. ''Eur Radiol Exp''. 2024 Jan 17; '''8''' (1):8
Development of Artificial Intelligence for Determining Major Depressive Disorder Based on Resting-State EEG and Single-Pulse Transcranial Magnetic Stimulation-Evoked EEG Indices. Description: Noda, Yoshihiro, et al. Development of Artificial Intelligence for Determining Major Depressive Disorder Based on Resting-State EEG and Single-Pulse Transcranial Magnetic Stimulation-Evoked EEG Indices. ''J Pers Med''. 2024 Jan 17; '''14''' (1):
Effective binning of metagenomic contigs using contrastive multi-view representation learning. Description: Wang, Ziye, et al. Effective binning of metagenomic contigs using contrastive multi-view representation learning. ''Nat Commun''. 2024 Jan 17; '''15''' (1):585
Longitudinal analysis of influenza vaccination implicates regulation of RIG-I signaling by DNA methylation. Description: Fu, Hongxiang, et al. Longitudinal analysis of influenza vaccination implicates regulation of RIG-I signaling by DNA methylation. ''Sci Rep''. 2024 Jan 17; '''14''' (1):1455
Systematic review using a spiral approach with machine learning. Description: Saeidmehr, Amirhossein, et al. Systematic review using a spiral approach with machine learning. ''Syst Rev''. 2024 Jan 17; '''13''' (1):32
The Implementation of a Gesture Recognition System with a Millimeter Wave and Thermal Imager. Description: Cheng, Yi-Lin, et al. The Implementation of a Gesture Recognition System with a Millimeter Wave and Thermal Imager. ''Sensors (Basel)''. 2024 Jan 17; '''24''' (2):
Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study. Description: Feng, Wei, et al. Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study. ''J Am Med Inform Assoc''. 2024 Jan 18; '''31''' (2):445-455
Benchmark for welding gun fault prediction with multivariate time series data. Description: Wang, Xiaoye, et al. Benchmark for welding gun fault prediction with multivariate time series data. ''Sci Data''. 2024 Jan 18; '''11''' (1):83
Brain control of bimanual movement enabled by recurrent neural networks. Description: Deo, Darrel R, et al. Brain control of bimanual movement enabled by recurrent neural networks. ''Sci Rep''. 2024 Jan 18; '''14''' (1):1598
Coordinating brain-distributed network activities in memory resistant to extinction. Description: Clarke-Williams, Charlie J, et al. Coordinating brain-distributed network activities in memory resistant to extinction. ''Cell''. 2024 Jan 18; '''187''' (2):409-427.e19
Research on Multimodal Fusion of Temporal Electronic Medical Records. Description: Ma, Moxuan, et al. Research on Multimodal Fusion of Temporal Electronic Medical Records. ''Bioengineering (Basel)''. 2024 Jan 18; '''11''' (1):
Simulation and Data-Driven Modeling of the Transport Properties of the Mie Fluid. Description: Chaparro, Gustavo, et al. Simulation and Data-Driven Modeling of the Transport Properties of the Mie Fluid. ''J Phys Chem B''. 2024 Jan 18; '''128''' (2):551-566
Artificial Intelligence and Machine Learning Methods to Evaluate Cardiotoxicity following the Adverse Outcome Pathway Frameworks. Description: Vigano, Edoardo Luca, et al. Artificial Intelligence and Machine Learning Methods to Evaluate Cardiotoxicity following the Adverse Outcome Pathway Frameworks. ''Toxics''. 2024 Jan 19; '''12''' (1):
Assessing the Role of Gaseous Chlorine Dioxide in Modulating the Postharvest Ripening of Keitt Mangoes through the Induction of Ethylene Biosynthesis. Description: Zhang, Dongwei, et al. Assessing the Role of Gaseous Chlorine Dioxide in Modulating the Postharvest Ripening of Keitt Mangoes through the Induction of Ethylene Biosynthesis. ''Foods''. 2024 Jan 19; '''13''' (2):
Dataset meta-level and statistical features affect machine learning performance. Description: Uddin, Shahadat, et al. Dataset meta-level and statistical features affect machine learning performance. ''Sci Rep''. 2024 Jan 19; '''14''' (1):1670
Deep learning enhanced the diagnostic merit of serum glycome for multiple cancers. Description: Zhang, Haobo, et al. Deep learning enhanced the diagnostic merit of serum glycome for multiple cancers. ''iScience''. 2024 Jan 19; '''27''' (1):108715
Development and validation of a semi-supervised deep learning model for automatic retinopathy of prematurity staging. Description: Feng, Wei, et al. Development and validation of a semi-supervised deep learning model for automatic retinopathy of prematurity staging. ''iScience''. 2024 Jan 19; '''27''' (1):108516
"KAIZEN" method realizing implementation of deep-learning models for COVID-19 CT diagnosis in real world hospitals. Description: Okada, Naoki, et al. "KAIZEN" method realizing implementation of deep-learning models for COVID-19 CT diagnosis in real world hospitals. ''Sci Rep''. 2024 Jan 19; '''14''' (1):1672
Multi-Dimensional Validation of the Integration of Syntactic and Semantic Distance Measures for Clustering Fibromyalgia Patients in the Rheumatic Monitor Big Data Study. Description: Goldstein, Ayelet, et al. Multi-Dimensional Validation of the Integration of Syntactic and Semantic Distance Measures for Clustering Fibromyalgia Patients in the Rheumatic Monitor Big Data Study. ''Bioengineering (Basel)''. 2024 Jan 19; '''11''' (1):
Object geometry serves humans' intuitive physics of stability. Description: Liu, Yaxin, et al. Object geometry serves humans' intuitive physics of stability. ''Sci Rep''. 2024 Jan 19; '''14''' (1):1701
Predicting students' academic progress and related attributes in first-year medical students: an analysis with artificial neural networks and Naive Bayes. Description: Monteverde-Suarez, Diego, et al. Predicting students' academic progress and related attributes in first-year medical students: an analysis with artificial neural networks and Naive Bayes. ''BMC Med Educ''. 2024 Jan 19; '''24''' (1):74
Targeting Transcutaneous Spinal Cord Stimulation Using a Supervised Machine Learning Approach Based on Mechanomyography. Description: Spieker, Eira Lotta, et al. Targeting Transcutaneous Spinal Cord Stimulation Using a Supervised Machine Learning Approach Based on Mechanomyography. ''Sensors (Basel)''. 2024 Jan 19; '''24''' (2):
The genomic alterations in glioblastoma influence the levels of CSF metabolites. Description: Wang, Daniel H, et al. The genomic alterations in glioblastoma influence the levels of CSF metabolites. ''Acta Neuropathol Commun''. 2024 Jan 19; '''12''' (1):13
i-shaped antibody engineering enables conformational tuning of biotherapeutic receptor agonists. Description: Romei, Matthew G, et al. i-shaped antibody engineering enables conformational tuning of biotherapeutic receptor agonists. ''Nat Commun''. 2024 Jan 20; '''15''' (1):642
Temporal change of DNA methylation subclasses between matched newly diagnosed and recurrent glioblastoma. Description: Drexler, Richard, et al. Temporal change of DNA methylation subclasses between matched newly diagnosed and recurrent glioblastoma. ''Acta Neuropathol''. 2024 Jan 20; '''147''' (1):21
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. Description: Chen, Ya, et al. Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. ''J Chem Inf Model''. 2024 Jan 22; '''64''' (2):348-358
Blood pressure variability supersedes heart rate variability as a real-world measure of dementia risk. Description: Ebinger, Joseph E, et al. Blood pressure variability supersedes heart rate variability as a real-world measure of dementia risk. ''Sci Rep''. 2024 Jan 22; '''14''' (1):1838
Connectome-based reservoir computing with the conn2res toolbox. Description: Suarez, Laura E, et al. Connectome-based reservoir computing with the conn2res toolbox. ''Nat Commun''. 2024 Jan 22; '''15''' (1):656
Disulfide bridge-dependent dimerization triggers FGF2 membrane translocation into the extracellular space. Description: Lolicato, Fabio, et al. Disulfide bridge-dependent dimerization triggers FGF2 membrane translocation into the extracellular space. ''Elife''. 2024 Jan 22; '''12''':
Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data. Description: Hu, Dayu, et al. Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data. ''Brief Bioinform''. 2024 Jan 22; '''25''' (2):
FusionNW, a potential clinical impact assessment of kinases in pan-cancer fusion gene network. Description: Yang, Chengyuan, et al. FusionNW, a potential clinical impact assessment of kinases in pan-cancer fusion gene network. ''Brief Bioinform''. 2024 Jan 22; '''25''' (2):
GPCR-IPL score: multilevel featurization of GPCR-ligand interaction patterns and prediction of ligand functions from selectivity to biased activation. Description: Kumar, Surendra, et al. GPCR-IPL score: multilevel featurization of GPCR-ligand interaction patterns and prediction of ligand functions from selectivity to biased activation. ''Brief Bioinform''. 2024 Jan 22; '''25''' (2):
Identification of activity-based biomarkers for early-stage pancreatic tumors in blood using single-molecule enzyme activity screening. Description: Sakamoto, Shingo, et al. Identification of activity-based biomarkers for early-stage pancreatic tumors in blood using single-molecule enzyme activity screening. ''Cell Rep Methods''. 2024 Jan 22; '''4''' (1):100688
Multi-modal features-based human-herpesvirus protein-protein interaction prediction by using LightGBM. Description: Yang, Xiaodi, et al. Multi-modal features-based human-herpesvirus protein-protein interaction prediction by using LightGBM. ''Brief Bioinform''. 2024 Jan 22; '''25''' (2):
Robustness and reproducibility for AI learning in biomedical sciences: RENOIR. Description: Barberis, Alessandro, et al. Robustness and reproducibility for AI learning in biomedical sciences: RENOIR. ''Sci Rep''. 2024 Jan 22; '''14''' (1):1933
Should we really use graph neural networks for transcriptomic prediction? Description: Brouard, Celine, et al. Should we really use graph neural networks for transcriptomic prediction? ''Brief Bioinform''. 2024 Jan 22; '''25''' (2):
Species-agnostic transfer learning for cross-species transcriptomics data integration without gene orthology. Description: Park, Youngjun, et al. Species-agnostic transfer learning for cross-species transcriptomics data integration without gene orthology. ''Brief Bioinform''. 2024 Jan 22; '''25''' (2):
A bacterial sensor taxonomy across earth ecosystems for machine learning applications. Description: Park, Helen, et al. A bacterial sensor taxonomy across earth ecosystems for machine learning applications. ''mSystems''. 2024 Jan 23; '''9''' (1):e0002623
DNA polymerase epsilon and delta variants drive mutagenesis in polypurine tracts in human tumors. Description: Ostroverkhova, Daria, et al. DNA polymerase epsilon and delta variants drive mutagenesis in polypurine tracts in human tumors. ''Cell Rep''. 2024 Jan 23; '''43''' (1):113655
Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets. Description: Marzi, Chiara, et al. Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets. ''Sci Data''. 2024 Jan 23; '''11''' (1):115
Hyperoxia prevents the dynamic neonatal increases in lung mesenchymal cell diversity. Description: Zanini, Fabio, et al. Hyperoxia prevents the dynamic neonatal increases in lung mesenchymal cell diversity. ''Sci Rep''. 2024 Jan 23; '''14''' (1):2033
Identification of Family-Specific Features in Cas9 and Cas12 Proteins: A Machine Learning Approach Using Complete Protein Feature Spectrum. Description: Madugula, Sita Sirisha, et al. Identification of Family-Specific Features in Cas9 and Cas12 Proteins: A Machine Learning Approach Using Complete Protein Feature Spectrum. ''bioRxiv''. 2024 Jan 23;
Microbial sensor variation across biogeochemical conditions in the terrestrial deep subsurface. Description: Goldman, Annelise L, et al. Microbial sensor variation across biogeochemical conditions in the terrestrial deep subsurface. ''mSystems''. 2024 Jan 23; '''9''' (1):e0096623
Multiple microbial guilds mediate soil methane cycling along a wetland salinity gradient. Description: Hartman, Wyatt H, et al. Multiple microbial guilds mediate soil methane cycling along a wetland salinity gradient. ''mSystems''. 2024 Jan 23; '''9''' (1):e0093623
POOE: predicting oomycete effectors based on a pre-trained large protein language model. Description: Zhao, Miao, et al. POOE: predicting oomycete effectors based on a pre-trained large protein language model. ''mSystems''. 2024 Jan 23; '''9''' (1):e0100423
Anti-correlated feature selection prevents false discovery of subpopulations in scRNAseq. Description: Tyler, Scott R, et al. Anti-correlated feature selection prevents false discovery of subpopulations in scRNAseq. ''Nat Commun''. 2024 Jan 24; '''15''' (1):699
Development of an image-based Random Forest classifier for prediction of surgery duration of laparoscopic sigmoid resections. Description: Lippenberger, Florian, et al. Development of an image-based Random Forest classifier for prediction of surgery duration of laparoscopic sigmoid resections. ''Int J Colorectal Dis''. 2024 Jan 25; '''39''' (1):21
Investigating the etiologies of non-malarial febrile illness in Senegal using metagenomic sequencing. Description: Levine, Zoe C, et al. Investigating the etiologies of non-malarial febrile illness in Senegal using metagenomic sequencing. ''Nat Commun''. 2024 Jan 25; '''15''' (1):747
Improving the precision of shock resuscitation by predicting fluid responsiveness with machine learning and arterial blood pressure waveform data. Description: Gupta, Chitrabhanu B, et al. Improving the precision of shock resuscitation by predicting fluid responsiveness with machine learning and arterial blood pressure waveform data. ''Sci Rep''. 2024 Jan 26; '''14''' (1):2227
Patient Phenotyping for Atopic Dermatitis With Transformers and Machine Learning: Algorithm Development and Validation Study. Description: Wang, Andrew, et al. Patient Phenotyping for Atopic Dermatitis With Transformers and Machine Learning: Algorithm Development and Validation Study. ''JMIR Form Res''. 2024 Jan 26; '''8''': e52200
A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data. Description: Ahmadi, Najia, et al. A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data. ''Sci Rep''. 2024 Jan 27; '''14''' (1):2287
Butyricimonas is a key gut microbiome component for predicting postoperative recurrence of esophageal cancer. Description: Otsuka, Koji, et al. Butyricimonas is a key gut microbiome component for predicting postoperative recurrence of esophageal cancer. ''Cancer Immunol Immunother''. 2024 Jan 27; '''73''' (2):23
Skin Barrier-Enhancing Effects of Dermabiotics HDB with Regulation of Skin Microbiota. Description: Kim, Kyung Min, et al. Skin Barrier-Enhancing Effects of Dermabiotics HDB with Regulation of Skin Microbiota. ''J Microbiol Biotechnol''. 2024 Jan 28; '''34''' (1):65-73
A genetic circuit on a single DNA molecule as an autonomous dissipative nanodevice. Description: Greiss, Ferdinand, et al. A genetic circuit on a single DNA molecule as an autonomous dissipative nanodevice. ''Nat Commun''. 2024 Jan 29; '''15''' (1):883
An artificial intelligence approach to predicting personality types in dogs. Description: Amirhosseini, Mohammad Hossein, et al. An artificial intelligence approach to predicting personality types in dogs. ''Sci Rep''. 2024 Jan 29; '''14''' (1):2404
CT-based peritumoral radiomics nomogram on prediction of response and survival to induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma. Description: Zeng, Fanyuan, et al. CT-based peritumoral radiomics nomogram on prediction of response and survival to induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma. ''J Cancer Res Clin Oncol''. 2024 Jan 29; '''150''' (2):50
Deep Learning for Delineation of the Spinal Canal in Whole-Body Diffusion-Weighted Imaging: Normalising Inter- and Intra-Patient Intensity Signal in Multi-Centre Datasets. Description: Candito, Antonio, et al. Deep Learning for Delineation of the Spinal Canal in Whole-Body Diffusion-Weighted Imaging: Normalising Inter- and Intra-Patient Intensity Signal in Multi-Centre Datasets. ''Bioengineering (Basel)''. 2024 Jan 29; '''11''' (2):
Impact of medical technologies may be predicted using constructed graph bibliometrics. Description: Jiang, Lawrence, et al. Impact of medical technologies may be predicted using constructed graph bibliometrics. ''Sci Rep''. 2024 Jan 29; '''14''' (1):2419
Muscular Strategies for Correcting the Pelvic Position to Improve Posture-An Exploratory Study. Description: Ludwig, Oliver, et al. Muscular Strategies for Correcting the Pelvic Position to Improve Posture-An Exploratory Study. ''J Funct Morphol Kinesiol''. 2024 Jan 29; '''9''' (1):
Statistical Methods and Machine Learning Algorithms for Investigating Metabolic Syndrome in Temporomandibular Disorders: A Nationwide Study. Description: Chweidan, Harry, et al. Statistical Methods and Machine Learning Algorithms for Investigating Metabolic Syndrome in Temporomandibular Disorders: A Nationwide Study. ''Bioengineering (Basel)''. 2024 Jan 29; '''11''' (2):
Total variation denoising-based method of identifying the states of single molecules in break junction data. Description: Komoto, Yuki, et al. Total variation denoising-based method of identifying the states of single molecules in break junction data. ''Discov Nano''. 2024 Jan 29; '''19''' (1):20
BERT-Based Neural Network for Inpatient Fall Detection From Electronic Medical Records: Retrospective Cohort Study. Description: Cheligeer, Cheligeer, et al. BERT-Based Neural Network for Inpatient Fall Detection From Electronic Medical Records: Retrospective Cohort Study. ''JMIR Med Inform''. 2024 Jan 30; '''12''': e48995
CT-based radiomics signature of visceral adipose tissue and bowel lesions for identifying patients with Crohn's disease resistant to infliximab. Description: Wang, Yangdi, et al. CT-based radiomics signature of visceral adipose tissue and bowel lesions for identifying patients with Crohn's disease resistant to infliximab. ''Insights Imaging''. 2024 Jan 30; '''15''' (1):28
Large-scale comparison of machine learning methods for profiling prediction of kinase inhibitors. Description: Wu, Jiangxia, et al. Large-scale comparison of machine learning methods for profiling prediction of kinase inhibitors. ''J Cheminform''. 2024 Jan 30; '''16''' (1):13
Natural Language Processing of Referral Letters for Machine Learning-Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study. Description: Fudickar, Sebastian, et al. Natural Language Processing of Referral Letters for Machine Learning-Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study. ''J Med Internet Res''. 2024 Jan 30; '''26''': e46857
Rapid proteome-wide prediction of lipid-interacting proteins through ligand-guided structural genomics. Description: Chou, Jonathan Chiu-Chun, et al. Rapid proteome-wide prediction of lipid-interacting proteins through ligand-guided structural genomics. ''bioRxiv''. 2024 Jan 30;
Use of Noisy Labels as Weak Learners to Identify Incompletely Ascertainable Outcomes: A Feasibility Study with Opioid-Induced Respiratory Depression. Description: Jeffery, Alvin D, et al. Use of Noisy Labels as Weak Learners to Identify Incompletely Ascertainable Outcomes: A Feasibility Study with Opioid-Induced Respiratory Depression. ''medRxiv''. 2024 Jan 30;
Classification of Pepper Seeds by Machine Learning Using Color Filter Array Images. Description: Djoulde, Kani, et al. Classification of Pepper Seeds by Machine Learning Using Color Filter Array Images. ''J Imaging''. 2024 Jan 31; '''10''' (2):
Comprehensive assessment of fine motor movement and cognitive function among older adults in China: a cross-sectional study. Description: Zhang, Jie, et al. Comprehensive assessment of fine motor movement and cognitive function among older adults in China: a cross-sectional study. ''BMC Geriatr''. 2024 Jan 31; '''24''' (1):118
DEEPOMICS FFPE, a deep neural network model, identifies DNA sequencing artifacts from formalin fixed paraffin embedded tissue with high accuracy. Description: Heo, Dong-Hyuk, et al. DEEPOMICS FFPE, a deep neural network model, identifies DNA sequencing artifacts from formalin fixed paraffin embedded tissue with high accuracy. ''Sci Rep''. 2024 Jan 31; '''14''' (1):2559
Emergence of syntax and word prediction in an artificial neural circuit of the cerebellum. Description: Ohmae, Keiko, et al. Emergence of syntax and word prediction in an artificial neural circuit of the cerebellum. ''Nat Commun''. 2024 Jan 31; '''15''' (1):927
Methods for controlling heavy metals in environmental soils based on artificial neural networks. Description: Luo, Ninglin. Methods for controlling heavy metals in environmental soils based on artificial neural networks. ''Sci Rep''. 2024 Jan 31; '''14''' (1):2563
NTRC and thioredoxins m1/m2 underpin the light acclimation of plants on proteome and metabolome levels. Description: Dziubek, Dejan, et al. NTRC and thioredoxins m1/m2 underpin the light acclimation of plants on proteome and metabolome levels. ''Plant Physiol''. 2024 Jan 31; '''194''' (2):982-1005
RExPRT: a machine learning tool to predict pathogenicity of tandem repeat loci. Description: Fazal, Sarah, et al. RExPRT: a machine learning tool to predict pathogenicity of tandem repeat loci. ''Genome Biol''. 2024 Jan 31; '''25''' (1):39
A clinical microscopy dataset to develop a deep learning diagnostic test for urinary tract infection. Description: Liou, Natasha, et al. A clinical microscopy dataset to develop a deep learning diagnostic test for urinary tract infection. ''Sci Data''. 2024 Feb 1; '''11''' (1):155
A fast, scalable and versatile tool for analysis of single-cell omics data. Description: Zhang, Kai, et al. A fast, scalable and versatile tool for analysis of single-cell omics data. ''Nat Methods''. 2024 Feb; '''21''' (2):217-227
An error correction strategy for image reconstruction by DNA sequencing microscopy. Description: Kloosterman, Alexander, et al. An error correction strategy for image reconstruction by DNA sequencing microscopy. ''Nat Comput Sci''. 2024 Feb; '''4''' (2):119-127
A pairwise cytokine code explains the organism-wide response to sepsis. Description: Takahama, Michihiro, et al. A pairwise cytokine code explains the organism-wide response to sepsis. ''Nat Immunol''. 2024 Feb; '''25''' (2):226-239
Automated identification of abnormal infant movements from smart phone videos. Description: Passmore, E, et al. Automated identification of abnormal infant movements from smart phone videos. ''PLOS Digit Health''. 2024 Feb; '''3''' (2):e0000432
Central auditory test performance predicts future neurocognitive function in children living with and without HIV. Description: Joseph, Jeff, et al. Central auditory test performance predicts future neurocognitive function in children living with and without HIV. ''Sci Rep''. 2024 Feb 1; '''14''' (1):2712
Characterizing the diversity and commensal origins of penA mosaicism in the genus Neisseria. Description: Unitt, Anastasia, et al. Characterizing the diversity and commensal origins of penA mosaicism in the genus Neisseria. ''Microb Genom''. 2024 Feb; '''10''' (2):
Deep Learning Algorithm Trained on Oblique Cervical Radiographs to Predict Outcomes of Transforaminal Epidural Steroid Injection for Pain from Cervical Foraminal Stenosis. Description: Wang, Ming Xing, et al. Deep Learning Algorithm Trained on Oblique Cervical Radiographs to Predict Outcomes of Transforaminal Epidural Steroid Injection for Pain from Cervical Foraminal Stenosis. ''Pain Ther''. 2024 Feb; '''13''' (1):173-183
Deep Learning Enables Spatial Mapping of the Mosaic Microenvironment of Myeloma Bone Marrow Trephine Biopsies. Description: Hagos, Yeman Brhane, et al. Deep Learning Enables Spatial Mapping of the Mosaic Microenvironment of Myeloma Bone Marrow Trephine Biopsies. ''Cancer Res''. 2024 Feb 1; '''84''' (3):493-508
Detection of hypoplastic left heart syndrome anatomy from cardiovascular magnetic resonance images using machine learning. Description: Gabbert, Dominik Daniel, et al. Detection of hypoplastic left heart syndrome anatomy from cardiovascular magnetic resonance images using machine learning. ''MAGMA''. 2024 Feb; '''37''' (1):115-125
Development of End-to-End AI-Based MRI Image Analysis System for Predicting IDH Mutation Status of Patients with Gliomas: Multicentric Validation. Description: Santinha, Joao, et al. Development of End-to-End AI-Based MRI Image Analysis System for Predicting IDH Mutation Status of Patients with Gliomas: Multicentric Validation. ''J Imaging Inform Med''. 2024 Feb; '''37''' (1):31-44
Early Prediction of Poststroke Rehabilitation Outcomes Using Wearable Sensors. Description: O'Brien, Megan K, et al. Early Prediction of Poststroke Rehabilitation Outcomes Using Wearable Sensors. ''Phys Ther''. 2024 Feb 1; '''104''' (2):
Functional and evolutionary significance of unknown genes from uncultivated taxa. Description: Rodriguez Del Rio, Alvaro, et al. Functional and evolutionary significance of unknown genes from uncultivated taxa. ''Nature''. 2024 Feb; '''626''' (7998):377-384
Interpreting protein abundance in Saccharomyces cerevisiae through relational learning. Description: Brunnsaker, Daniel, et al. Interpreting protein abundance in Saccharomyces cerevisiae through relational learning. ''Bioinformatics''. 2024 Feb 1; '''40''' (2):
Linking gene expression to clinical outcomes in pediatric Crohn's disease using machine learning. Description: Chen, Kevin A, et al. Linking gene expression to clinical outcomes in pediatric Crohn's disease using machine learning. ''Sci Rep''. 2024 Feb 1; '''14''' (1):2667
Multi-label classification with XGBoost for metabolic pathway prediction. Description: Joe, Hyunwhan, et al. Multi-label classification with XGBoost for metabolic pathway prediction. ''BMC Bioinformatics''. 2024 Feb 1; '''25''' (1):52
Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia. Description: Ferrante, Franco J, et al. Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia. ''Alzheimers Dement''. 2024 Feb; '''20''' (2):925-940
Osteoporosis Prediction Using Machine-Learned Optical Bone Densitometry Data. Description: Miura, Kaname, et al. Osteoporosis Prediction Using Machine-Learned Optical Bone Densitometry Data. ''Ann Biomed Eng''. 2024 Feb; '''52''' (2):396-405
Placental Pathology Findings in Unexplained Pregnancy Losses. Description: Thompson, Beatrix B, et al. Placental Pathology Findings in Unexplained Pregnancy Losses. ''Reprod Sci''. 2024 Feb; '''31''' (2):488-504
Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/GRU-ODE-Bayes-Based Machine-Learning Algorithm. Description: Lee, Joonyub, et al. Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/GRU-ODE-Bayes-Based Machine-Learning Algorithm. ''Endocrinol Metab (Seoul)''. 2024 Feb; '''39''' (1):176-185
Prediction of cognitive performance differences in older age from multimodal neuroimaging data. Description: Kramer, Camilla, et al. Prediction of cognitive performance differences in older age from multimodal neuroimaging data. ''Geroscience''. 2024 Feb; '''46''' (1):283-308
Protocol to train a support vector machine for the automatic curation of bacterial cell detections in microscopy images. Description: Steemans, Bart, et al. Protocol to train a support vector machine for the automatic curation of bacterial cell detections in microscopy images. ''STAR Protoc''. 2024 Feb 1; '''5''' (1):102868
'Should we laugh?' Acoustic features of (in)voluntary laughters in spontaneous conversations. Description: Krepsz, Valeria, et al. 'Should we laugh?' Acoustic features of (in)voluntary laughters in spontaneous conversations. ''Cogn Process''. 2024 Feb; '''25''' (1):89-106
Single-cell transcriptomics reveals that glial cells integrate homeostatic and circadian processes to drive sleep-wake cycles. Description: Dopp, Joana, et al. Single-cell transcriptomics reveals that glial cells integrate homeostatic and circadian processes to drive sleep-wake cycles. ''Nat Neurosci''. 2024 Feb; '''27''' (2):359-372
Sleep deprivation detected by voice analysis. Description: Thoret, Etienne, et al. Sleep deprivation detected by voice analysis. ''PLoS Comput Biol''. 2024 Feb; '''20''' (2):e1011849
STIGMA: Single-cell tissue-specific gene prioritization using machine learning. Description: Balachandran, Saranya, et al. STIGMA: Single-cell tissue-specific gene prioritization using machine learning. ''Am J Hum Genet''. 2024 Feb 1; '''111''' (2):338-349
The Effect of Marijuana on Postoperative Spine Patients' Emergency Department Visits, Readmission Rates, and Opioid Consumption. Description: Buddle, Vincent Patrick, et al. The Effect of Marijuana on Postoperative Spine Patients' Emergency Department Visits, Readmission Rates, and Opioid Consumption. ''J Am Acad Orthop Surg Glob Res Rev''. 2024 Feb 1; '''8''' (2):
The nuclear factor ID3 endows macrophages with a potent anti-tumour activity. Description: Deng, Zihou, et al. The nuclear factor ID3 endows macrophages with a potent anti-tumour activity. ''Nature''. 2024 Feb; '''626''' (8000):864-873
Unsupervised and supervised discovery of tissue cellular neighborhoods from cell phenotypes. Description: Hu, Yuxuan, et al. Unsupervised and supervised discovery of tissue cellular neighborhoods from cell phenotypes. ''Nat Methods''. 2024 Feb; '''21''' (2):267-278
Using Machine Learning to Understand the Causes of Quantum Decoherence in Solution-Phase Bond-Breaking Reactions. Description: Mei, Kenneth J, et al. Using Machine Learning to Understand the Causes of Quantum Decoherence in Solution-Phase Bond-Breaking Reactions. ''J Phys Chem Lett''. 2024 Feb 1; '''15''' (4):903-911
A novel post-percutaneous nephrolithotomy sepsis prediction model using machine learning. Description: Shen, Rong, et al. A novel post-percutaneous nephrolithotomy sepsis prediction model using machine learning. ''BMC Urol''. 2024 Feb 2; '''24''' (1):27
Can we predict overall survival using machine learning algorithms at 3-months for brain metastases from non-small cell lung cancer after gamma knife radiosurgery? Description: Moon, Hyeong Cheol, et al. Can we predict overall survival using machine learning algorithms at 3-months for brain metastases from non-small cell lung cancer after gamma knife radiosurgery? ''Medicine (Baltimore)''. 2024 Feb 2; '''103''' (5):e37084
The Application of CT Radiomics in the Diagnosis of Vein Wall Invasion in Patients With Renal Cell Carcinoma Combined With Tumor Thrombus. Description: Zhao, Xun, et al. The Application of CT Radiomics in the Diagnosis of Vein Wall Invasion in Patients With Renal Cell Carcinoma Combined With Tumor Thrombus. ''Oncologist''. 2024 Feb 2; '''29''' (2):151-158
Deep representation learning of tissue metabolome and computed tomography annotates NSCLC classification and prognosis. Description: Boubnovski Martell, Marc, et al. Deep representation learning of tissue metabolome and computed tomography annotates NSCLC classification and prognosis. ''NPJ Precis Oncol''. 2024 Feb 3; '''8''' (1):28
Detection of senescence using machine learning algorithms based on nuclear features. Description: Duran, Imanol, et al. Detection of senescence using machine learning algorithms based on nuclear features. ''Nat Commun''. 2024 Feb 3; '''15''' (1):1041
Effectiveness of CT radiomic features combined with clinical factors in predicting prognosis in patients with limited-stage small cell lung cancer. Description: Wu, Jiehan, et al. Effectiveness of CT radiomic features combined with clinical factors in predicting prognosis in patients with limited-stage small cell lung cancer. ''BMC Cancer''. 2024 Feb 3; '''24''' (1):170
Identification of Concussion Subtypes Based on Intrinsic Brain Activity. Description: Armananzas, Ruben, et al. Identification of Concussion Subtypes Based on Intrinsic Brain Activity. ''JAMA Netw Open''. 2024 Feb 5; '''7''' (2):e2355910
Multimodal machine learning for modeling infant head circumference, mothers' milk composition, and their shared environment. Description: Becker, Martin, et al. Multimodal machine learning for modeling infant head circumference, mothers' milk composition, and their shared environment. ''Sci Rep''. 2024 Feb 5; '''14''' (1):2977
The preoptic area and dorsal habenula jointly support homeostatic navigation in larval zebrafish. Description: Palieri, Virginia, et al. The preoptic area and dorsal habenula jointly support homeostatic navigation in larval zebrafish. ''Curr Biol''. 2024 Feb 5; '''34''' (3):489-504.e7
A pharmacological toolkit for human microglia identifies Topoisomerase I inhibitors as immunomodulators for Alzheimer's disease. Description: Haage, Verena, et al. A pharmacological toolkit for human microglia identifies Topoisomerase I inhibitors as immunomodulators for Alzheimer's disease. ''bioRxiv''. 2024 Feb 6;
Classification of human walking context using a single-point accelerometer. Description: Baroudi, Loubna, et al. Classification of human walking context using a single-point accelerometer. ''Sci Rep''. 2024 Feb 6; '''14''' (1):3039
Genome-wide bioinformatics analysis of human protease capacity for proteolytic cleavage of the SARS-CoV-2 spike glycoprotein. Description: Matveev, Evgenii V, et al. Genome-wide bioinformatics analysis of human protease capacity for proteolytic cleavage of the SARS-CoV-2 spike glycoprotein. ''Microbiol Spectr''. 2024 Feb 6; '''12''' (2):e0353023
A cost-effective sequencing method for genetic studies combining high-depth whole exome and low-depth whole genome. Description: Bherer, Claude, et al. A cost-effective sequencing method for genetic studies combining high-depth whole exome and low-depth whole genome. ''NPJ Genom Med''. 2024 Feb 7; '''9''' (1):8
Machine Learning-Assisted Optimization of Drug Combinations in Zeolite-Based Delivery Systems for Melanoma Therapy. Description: Bertao, Ana Raquel, et al. Machine Learning-Assisted Optimization of Drug Combinations in Zeolite-Based Delivery Systems for Melanoma Therapy. ''ACS Appl Mater Interfaces''. 2024 Feb 7; '''16''' (5):5696-5707
Naive Bayes Classifiers and accompanying dataset for Pseudomonas syringae isolate characterization. Description: Fautt, Chad, et al. Naive Bayes Classifiers and accompanying dataset for Pseudomonas syringae isolate characterization. ''Sci Data''. 2024 Feb 7; '''11''' (1):178
Overlay databank unlocks data-driven analyses of biomolecules for all. Description: Kiirikki, Anne M, et al. Overlay databank unlocks data-driven analyses of biomolecules for all. ''Nat Commun''. 2024 Feb 7; '''15''' (1):1136
Surface Charge Can Modulate Phase Separation of Multidomain Proteins. Description: Kim, Jonggul, et al. Surface Charge Can Modulate Phase Separation of Multidomain Proteins. ''J Am Chem Soc''. 2024 Feb 7; '''146''' (5):3383-3395
Unsupervised analysis of whole transcriptome data from human pluripotent stem cells cardiac differentiation. Description: P Agostinho, Sofia, et al. Unsupervised analysis of whole transcriptome data from human pluripotent stem cells cardiac differentiation. ''Sci Rep''. 2024 Feb 7; '''14''' (1):3110
AntiBP3: A Method for Predicting Antibacterial Peptides against Gram-Positive/Negative/Variable Bacteria. Description: Bajiya, Nisha, et al. AntiBP3: A Method for Predicting Antibacterial Peptides against Gram-Positive/Negative/Variable Bacteria. ''Antibiotics (Basel)''. 2024 Feb 8; '''13''' (2):
DeepSLICEM: Clustering CryoEM particles using deep image and similarity graph representations. Description: Palukuri, Meghana V, et al. DeepSLICEM: Clustering CryoEM particles using deep image and similarity graph representations. ''bioRxiv''. 2024 Feb 8;
Development of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion. Description: Bui, Anh Tuan, et al. Development of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion. ''Bioengineering (Basel)''. 2024 Feb 8; '''11''' (2):
Hybrid AI-enhanced lightning flash prediction in the medium-range forecast horizon. Description: Cavaiola, Mattia, et al. Hybrid AI-enhanced lightning flash prediction in the medium-range forecast horizon. ''Nat Commun''. 2024 Feb 8; '''15''' (1):1188
Persistent mucus plugs in proximal airways are consequential for airflow limitation in asthma. Description: Huang, Brendan K, et al. Persistent mucus plugs in proximal airways are consequential for airflow limitation in asthma. ''JCI Insight''. 2024 Feb 8; '''9''' (3):
Defining the progeria phenome. Description: Worm, Cecilie, et al. Defining the progeria phenome. ''Aging (Albany NY)''. 2024 Feb 9; '''16''' (3):2026-2046
Effects of Resistant Starch Infusion, Solely and Mixed with Xylan or Cellulose, on Gut Microbiota Composition in Ileum-Cannulated Pigs. Description: Zhang, Yaowen, et al. Effects of Resistant Starch Infusion, Solely and Mixed with Xylan or Cellulose, on Gut Microbiota Composition in Ileum-Cannulated Pigs. ''Microorganisms''. 2024 Feb 9; '''12''' (2):
Grid-like entorhinal representation of an abstract value space during prospective decision making. Description: Nitsch, Alexander, et al. Grid-like entorhinal representation of an abstract value space during prospective decision making. ''Nat Commun''. 2024 Feb 9; '''15''' (1):1198
Performance and clinical utility of a new supervised machine-learning pipeline in detecting rare ciliopathy patients based on deep phenotyping from electronic health records and semantic similarity. Description: Faviez, Carole, et al. Performance and clinical utility of a new supervised machine-learning pipeline in detecting rare ciliopathy patients based on deep phenotyping from electronic health records and semantic similarity. ''Orphanet J Rare Dis''. 2024 Feb 10; '''19''' (1):55
Estimating the phase diagrams of deep eutectic solvents within an extensive chemical space. Description: Fajar, Adroit T N, et al. Estimating the phase diagrams of deep eutectic solvents within an extensive chemical space. ''Commun Chem''. 2024 Feb 12; '''7''' (1):27
Insights into serum metabolic biomarkers for early detection of incident diabetic kidney disease in Chinese patients with type 2 diabetes by random forest. Description: Jiang, Jian-Jun, et al. Insights into serum metabolic biomarkers for early detection of incident diabetic kidney disease in Chinese patients with type 2 diabetes by random forest. ''Aging (Albany NY)''. 2024 Feb 12; '''16''' (4):3420-3530
Navigating the nuances: comparative analysis and hyperparameter optimisation of neural architectures on contrast-enhanced MRI for liver and liver tumour segmentation. Description: Quinton, Felix, et al. Navigating the nuances: comparative analysis and hyperparameter optimisation of neural architectures on contrast-enhanced MRI for liver and liver tumour segmentation. ''Sci Rep''. 2024 Feb 12; '''14''' (1):3522
3D Convolutional Deep Learning for Nonlinear Estimation of Body Composition from Whole-Body Morphology. Description: Tian, Isaac, et al. 3D Convolutional Deep Learning for Nonlinear Estimation of Body Composition from Whole-Body Morphology. ''Res Sq''. 2024 Feb 13;
Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study. Description: Laurentiev, John, et al. Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study. ''J Med Internet Res''. 2024 Feb 13; '''26''': e47739
Mapping urban form into local climate zones for the continental US from 1986-2020. Description: Qi, Meng, et al. Mapping urban form into local climate zones for the continental US from 1986-2020. ''Sci Data''. 2024 Feb 13; '''11''' (1):195
Profiles of Serum Fatty Acids in Healthy Women on Different Types of Vegetarian Diets. Description: Gogga, Patrycja, et al. Profiles of Serum Fatty Acids in Healthy Women on Different Types of Vegetarian Diets. ''Nutrients''. 2024 Feb 13; '''16''' (4):
Quantitative Detection of Pipeline Cracks Based on Ultrasonic Guided Waves and Convolutional Neural Network. Description: Shen, Yuchi, et al. Quantitative Detection of Pipeline Cracks Based on Ultrasonic Guided Waves and Convolutional Neural Network. ''Sensors (Basel)''. 2024 Feb 13; '''24''' (4):
A deep learning approach for projection and body-side classification in musculoskeletal radiographs. Description: Fink, Anna, et al. A deep learning approach for projection and body-side classification in musculoskeletal radiographs. ''Eur Radiol Exp''. 2024 Feb 14; '''8''' (1):23
Association of a High Healthy Eating Index Diet with Long-Term Visceral Fat Loss in a Large Longitudinal Study. Description: Park, Sunmin. Association of a High Healthy Eating Index Diet with Long-Term Visceral Fat Loss in a Large Longitudinal Study. ''Nutrients''. 2024 Feb 14; '''16''' (4):
Machine Learning-Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts. Description: Lee, Hojae, et al. Machine Learning-Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts. ''J Med Internet Res''. 2024 Feb 14; '''26''': e51473
Modeling early pathophysiological phenotypes of diabetic retinopathy in a human inner blood-retinal barrier-on-a-chip. Description: Maurissen, Thomas L, et al. Modeling early pathophysiological phenotypes of diabetic retinopathy in a human inner blood-retinal barrier-on-a-chip. ''Nat Commun''. 2024 Feb 14; '''15''' (1):1372
Predicting band gaps of ABN(3) perovskites: an account from machine learning and first-principle DFT studies. Description: Ghosh, Swarup, et al. Predicting band gaps of ABN(3) perovskites: an account from machine learning and first-principle DFT studies. ''RSC Adv''. 2024 Feb 14; '''14''' (9):6385-6397
Single-cell transcriptome landscape of circulating CD4(+) T cell populations in autoimmune diseases. Description: Yasumizu, Yoshiaki, et al. Single-cell transcriptome landscape of circulating CD4(+) T cell populations in autoimmune diseases. ''Cell Genom''. 2024 Feb 14; '''4''' (2):100473
A reproducible ensemble machine learning approach to forecast dengue outbreaks. Description: Sebastianelli, Alessandro, et al. A reproducible ensemble machine learning approach to forecast dengue outbreaks. ''Sci Rep''. 2024 Feb 15; '''14''' (1):3807
Cancer-related cells and oncosomes in the liquid biopsy of pancreatic cancer patients undergoing surgery. Description: Shishido, Stephanie N, et al. Cancer-related cells and oncosomes in the liquid biopsy of pancreatic cancer patients undergoing surgery. ''NPJ Precis Oncol''. 2024 Feb 15; '''8''' (1):36
Data-driven intelligent modeling, optimization, and global sensitivity analysis of a xanthan gum biosynthesis process. Description: Amenaghawon, Andrew Nosakhare, et al. Data-driven intelligent modeling, optimization, and global sensitivity analysis of a xanthan gum biosynthesis process. ''Heliyon''. 2024 Feb 15; '''10''' (3):e25432
Discovering conserved epitopes of Monkeypox: Novel immunoinformatic and machine learning approaches. Description: Izadi, Mohammad, et al. Discovering conserved epitopes of Monkeypox: Novel immunoinformatic and machine learning approaches. ''Heliyon''. 2024 Feb 15; '''10''' (3):e24972
Dynamics of activation in the voltage-sensing domain of Ciona intestinalis phosphatase Ci-VSP. Description: Guo, Spencer C, et al. Dynamics of activation in the voltage-sensing domain of Ciona intestinalis phosphatase Ci-VSP. ''Nat Commun''. 2024 Feb 15; '''15''' (1):1408
Echo state networks for the recognition of type 1 Brugada syndrome from conventional 12-LEAD ECG. Description: Vozzi, Federico, et al. Echo state networks for the recognition of type 1 Brugada syndrome from conventional 12-LEAD ECG. ''Heliyon''. 2024 Feb 15; '''10''' (3):e25404
LSTMCNN: A hybrid machine learning model to unmask fake news. Description: Dev, Deepali Goyal, et al. LSTMCNN: A hybrid machine learning model to unmask fake news. ''Heliyon''. 2024 Feb 15; '''10''' (3):e25244
Reconstructing historic and modern potato late blight outbreaks using text analytics. Description: Saffer, Ariel, et al. Reconstructing historic and modern potato late blight outbreaks using text analytics. ''Sci Rep''. 2024 Feb 15; '''14''' (1):2523
A Comparison of Head Movement Classification Methods. Description: Callahan-Flintoft, Chloe, et al. A Comparison of Head Movement Classification Methods. ''Sensors (Basel)''. 2024 Feb 16; '''24''' (4):
Automatically pre-screening patients for the rare disease aromatic l-amino acid decarboxylase deficiency using knowledge engineering, natural language processing, and machine learning on a large EHR population. Description: Cohen, Aaron M, et al. Automatically pre-screening patients for the rare disease aromatic l-amino acid decarboxylase deficiency using knowledge engineering, natural language processing, and machine learning on a large EHR population. ''J Am Med Inform Assoc''. 2024 Feb 16; '''31''' (3):692-704
Development of Cost-Effective Fatty Liver Disease Prediction Models in a Chinese Population: Statistical and Machine Learning Approaches. Description: Zhang, Liang, et al. Development of Cost-Effective Fatty Liver Disease Prediction Models in a Chinese Population: Statistical and Machine Learning Approaches. ''JMIR Form Res''. 2024 Feb 16; '''8''': e53654
Evaluation of GPT-4 for 10-year cardiovascular risk prediction: Insights from the UK Biobank and KoGES data. Description: Han, Changho, et al. Evaluation of GPT-4 for 10-year cardiovascular risk prediction: Insights from the UK Biobank and KoGES data. ''iScience''. 2024 Feb 16; '''27''' (2):109022
POSEIDON: Peptidic Objects SEquence-based Interaction with cellular DOmaiNs: a new database and predictor. Description: Preto, Antonio J, et al. POSEIDON: Peptidic Objects SEquence-based Interaction with cellular DOmaiNs: a new database and predictor. ''J Cheminform''. 2024 Feb 16; '''16''' (1):18
Optimizing Botulinum Toxin A Administration for Forehead Wrinkles: Introducing the Lines and Dots (LADs) Technique and a Predictive Dosage Model. Description: Alhallak, Kamal. Optimizing Botulinum Toxin A Administration for Forehead Wrinkles: Introducing the Lines and Dots (LADs) Technique and a Predictive Dosage Model. ''Toxins (Basel)''. 2024 Feb 17; '''16''' (2):
PoxiPred: An Artificial-Intelligence-Based Method for the Prediction of Potential Antigens and Epitopes to Accelerate Vaccine Development Efforts against Poxviruses. Description: Martinez, Gustavo Sganzerla, et al. PoxiPred: An Artificial-Intelligence-Based Method for the Prediction of Potential Antigens and Epitopes to Accelerate Vaccine Development Efforts against Poxviruses. ''Biology (Basel)''. 2024 Feb 17; '''13''' (2):
Time-integrated BMP signaling determines fate in a stem cell model for early human development. Description: Teague, Seth, et al. Time-integrated BMP signaling determines fate in a stem cell model for early human development. ''Nat Commun''. 2024 Feb 17; '''15''' (1):1471
Accelerated Early Childhood Growth Is Associated With the Development of Earlier Adrenarche and Puberty. Description: Liimatta, Jani, et al. Accelerated Early Childhood Growth Is Associated With the Development of Earlier Adrenarche and Puberty. ''J Endocr Soc''. 2024 Feb 19; '''8''' (4):bvae026
Favorable subgingival plaque microbiome shifts are associated with clinical treatment for peri-implant diseases. Description: Bazzani, Davide, et al. Favorable subgingival plaque microbiome shifts are associated with clinical treatment for peri-implant diseases. ''NPJ Biofilms Microbiomes''. 2024 Feb 19; '''10''' (1):12
Intra-prostatic tumour evolution, steps in metastatic spread and histogenomic associations revealed by integration of multi-region whole-genome sequencing with histopathological features. Description: Rao, Srinivasa, et al. Intra-prostatic tumour evolution, steps in metastatic spread and histogenomic associations revealed by integration of multi-region whole-genome sequencing with histopathological features. ''Genome Med''. 2024 Feb 19; '''16''' (1):35
Molting incidents of Hyalomma spp. carrying human pathogens in Germany under different weather conditions. Description: Chitimia-Dobler, Lidia, et al. Molting incidents of Hyalomma spp. carrying human pathogens in Germany under different weather conditions. ''Parasit Vectors''. 2024 Feb 19; '''17''' (1):70
16S rRNA sequencing analysis of the oral and fecal microbiota in colorectal cancer positives versus colorectal cancer negatives in Iranian population. Description: Rezasoltani, Sama, et al. 16S rRNA sequencing analysis of the oral and fecal microbiota in colorectal cancer positives versus colorectal cancer negatives in Iranian population. ''Gut Pathog''. 2024 Feb 20; '''16''' (1):9
Accurate detection and grading of pterygium through smartphone by a fusion training model. Description: Liu, Yuwen, et al. Accurate detection and grading of pterygium through smartphone by a fusion training model. ''Br J Ophthalmol''. 2024 Feb 21; '''108''' (3):336-342
Cis inhibition of NOTCH1 through JAGGED1 sustains embryonic hematopoietic stem cell fate. Description: Thambyrajah, Roshana, et al. Cis inhibition of NOTCH1 through JAGGED1 sustains embryonic hematopoietic stem cell fate. ''Nat Commun''. 2024 Feb 21; '''15''' (1):1604
Epistasis between mutator alleles contributes to germline mutation spectrum variability in laboratory mice. Description: Sasani, Thomas A, et al. Epistasis between mutator alleles contributes to germline mutation spectrum variability in laboratory mice. ''Elife''. 2024 Feb 21; '''12''':
Heterogeneity of synaptic connectivity in the fly visual system. Description: Cornean, Jacqueline, et al. Heterogeneity of synaptic connectivity in the fly visual system. ''Nat Commun''. 2024 Feb 21; '''15''' (1):1570
Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence. Description: Hussain, Iqram, et al. Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence. ''Sensors (Basel)''. 2024 Feb 21; '''24''' (5):
Large language models streamline automated machine learning for clinical studies. Description: Tayebi Arasteh, Soroosh, et al. Large language models streamline automated machine learning for clinical studies. ''Nat Commun''. 2024 Feb 21; '''15''' (1):1603
Quantifying the adaptive landscape of commensal gut bacteria using high-resolution lineage tracking. Description: Wong, Daniel P G H, et al. Quantifying the adaptive landscape of commensal gut bacteria using high-resolution lineage tracking. ''Nat Commun''. 2024 Feb 21; '''15''' (1):1605
Fit of biokinetic data in molecular radiotherapy: a machine learning approach. Description: Ciucci, Davide, et al. Fit of biokinetic data in molecular radiotherapy: a machine learning approach. ''EJNMMI Phys''. 2024 Feb 22; '''11''' (1):19
Machine learning using clinical data at baseline predicts the medium-term efficacy of ustekinumab in patients with ulcerative colitis. Description: Morikubo, Hiromu, et al. Machine learning using clinical data at baseline predicts the medium-term efficacy of ustekinumab in patients with ulcerative colitis. ''Sci Rep''. 2024 Feb 22; '''14''' (1):4386
PRFect: a tool to predict programmed ribosomal frameshifts in prokaryotic and viral genomes. Description: McNair, Katelyn, et al. PRFect: a tool to predict programmed ribosomal frameshifts in prokaryotic and viral genomes. ''BMC Bioinformatics''. 2024 Feb 22; '''25''' (1):82
Fast and slow: Recording neuromodulator dynamics across both transient and chronic time scales. Description: Ma, Pingchuan, et al. Fast and slow: Recording neuromodulator dynamics across both transient and chronic time scales. ''Sci Adv''. 2024 Feb 23; '''10''' (8):eadi0643
Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer. Description: Chen, Yangzi, et al. Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer. ''Nat Commun''. 2024 Feb 23; '''15''' (1):1657
Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process. Description: Heusel, Matthias, et al. Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process. ''Bioengineering (Basel)''. 2024 Feb 23; '''11''' (3):
Substrate Prediction for RiPP Biosynthetic Enzymes via Masked Language Modeling and Transfer Learning. Description: Clark, Joseph D, et al. Substrate Prediction for RiPP Biosynthetic Enzymes via Masked Language Modeling and Transfer Learning. ''ArXiv''. 2024 Feb 23;
Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts. Description: Cai, Xinjia, et al. Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts. ''Int J Oral Sci''. 2024 Feb 26; '''16''' (1):16
Predicting the incidence of infectious diarrhea with symptom surveillance data using a stacking-based ensembled model. Description: Wang, Pengyu, et al. Predicting the incidence of infectious diarrhea with symptom surveillance data using a stacking-based ensembled model. ''BMC Infect Dis''. 2024 Feb 26; '''24''' (1):265
A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence. Description: Gomes Souza, Fernando Jr, et al. A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence. ''Materials (Basel)''. 2024 Feb 27; '''17''' (5):
Automatic data-driven design and 3D printing of custom ocular prostheses. Description: Reinhard, Johann, et al. Automatic data-driven design and 3D printing of custom ocular prostheses. ''Nat Commun''. 2024 Feb 27; '''15''' (1):1360
Development of a deep learning model that predicts critical events of pediatric patients admitted to general wards. Description: Jeon, Yonghyuk, et al. Development of a deep learning model that predicts critical events of pediatric patients admitted to general wards. ''Sci Rep''. 2024 Feb 27; '''14''' (1):4707
The genomic landscape of transposable elements in yeast hybrids is shaped by structural variation and genotype-specific modulation of transposition rate. Description: Henault, Mathieu, et al. The genomic landscape of transposable elements in yeast hybrids is shaped by structural variation and genotype-specific modulation of transposition rate. ''Elife''. 2024 Feb 27; '''12''':
Distal tuft dendrites shape and maintain new place fields. Description: O'Hare, Justin K, et al. Distal tuft dendrites shape and maintain new place fields. ''bioRxiv''. 2024 Feb 28;
Feature-Assisted Machine Learning for Predicting Band Gaps of Binary Semiconductors. Description: Huo, Sitong, et al. Feature-Assisted Machine Learning for Predicting Band Gaps of Binary Semiconductors. ''Nanomaterials (Basel)''. 2024 Feb 28; '''14''' (5):
Functional regulation of aquaporin dynamics by lipid bilayer composition. Description: Nguyen, Anh T P, et al. Functional regulation of aquaporin dynamics by lipid bilayer composition. ''Nat Commun''. 2024 Feb 28; '''15''' (1):1848
Machine learning driven web-based app platform for the discovery of monoamine oxidase B inhibitors. Description: Kumar, Sunil, et al. Machine learning driven web-based app platform for the discovery of monoamine oxidase B inhibitors. ''Sci Rep''. 2024 Feb 28; '''14''' (1):4868
Optimizing sequence design strategies for perturbation MPRAs: a computational evaluation framework. Description: Liu, Jiayi, et al. Optimizing sequence design strategies for perturbation MPRAs: a computational evaluation framework. ''Nucleic Acids Res''. 2024 Feb 28; '''52''' (4):1613-1627
Quantification of metabolic activity from isotope tracing data using automated methodology. Description: Liu, Shiyu, et al. Quantification of metabolic activity from isotope tracing data using automated methodology. ''bioRxiv''. 2024 Feb 28;
Rapid hyperspectral photothermal mid-infrared spectroscopic imaging from sparse data for gynecologic cancer tissue subtyping. Description: Reihanisaransari, Reza, et al. Rapid hyperspectral photothermal mid-infrared spectroscopic imaging from sparse data for gynecologic cancer tissue subtyping. ''ArXiv''. 2024 Feb 28;
Understanding social dynamics and patient experience in out of hospital care: validation of a co-responsibility questionnaire (CoReCare). Description: Knufinke-Meyfroyt, Melanie, et al. Understanding social dynamics and patient experience in out of hospital care: validation of a co-responsibility questionnaire (CoReCare). ''Sci Rep''. 2024 Feb 28; '''14''' (1):4894
Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks. Description: Hembert, Pierre, et al. Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks. ''Sensors (Basel)''. 2024 Feb 29; '''24''' (5):
Automated Mapping of Land Cover Type within International Heterogenous Landscapes Using Sentinel-2 Imagery with Ancillary Geospatial Data. Description: Lasko, Kristofer, et al. Automated Mapping of Land Cover Type within International Heterogenous Landscapes Using Sentinel-2 Imagery with Ancillary Geospatial Data. ''Sensors (Basel)''. 2024 Feb 29; '''24''' (5):
Combined clinical variable and radiomics of post-treatment total body scan for prediction of successful I-131 ablation in low-risk papillary thyroid carcinoma patients. Description: Chantadisai, Maythinee, et al. Combined clinical variable and radiomics of post-treatment total body scan for prediction of successful I-131 ablation in low-risk papillary thyroid carcinoma patients. ''Sci Rep''. 2024 Feb 29; '''14''' (1):5001
Enhancing COVID-19 Detection: An Xception-Based Model with Advanced Transfer Learning from X-ray Thorax Images. Description: Mandiya, Reagan E, et al. Enhancing COVID-19 Detection: An Xception-Based Model with Advanced Transfer Learning from X-ray Thorax Images. ''J Imaging''. 2024 Feb 29; '''10''' (3):
Identification of robust cellular programs using reproducible LDA that impact sex-specific disease progression in different genotypes of a mouse model of AD. Description: Rezaie, Narges, et al. Identification of robust cellular programs using reproducible LDA that impact sex-specific disease progression in different genotypes of a mouse model of AD. ''bioRxiv''. 2024 Feb 29;
PTM-Mamba: A PTM-Aware Protein Language Model with Bidirectional Gated Mamba Blocks. Description: Peng, Zhangzhi, et al. PTM-Mamba: A PTM-Aware Protein Language Model with Bidirectional Gated Mamba Blocks. ''bioRxiv''. 2024 Feb 29;
Accurate and sensitive mutational signature analysis with MuSiCal. Description: Jin, Hu, et al. Accurate and sensitive mutational signature analysis with MuSiCal. ''Nat Genet''. 2024 Mar; '''56''' (3):541-552
A conserved interdomain microbial network underpins cadaver decomposition despite environmental variables. Description: Burcham, Zachary M, et al. A conserved interdomain microbial network underpins cadaver decomposition despite environmental variables. ''Nat Microbiol''. 2024 Mar; '''9''' (3):595-613
A framework for tracing timber following the Ukraine invasion. Description: Mortier, Thomas, et al. A framework for tracing timber following the Ukraine invasion. ''Nat Plants''. 2024 Mar; '''10''' (3):390-401
A large-scale study of peptide features defining immunogenicity of cancer neo-epitopes. Description: Wan, Yat-Tsai Richie, et al. A large-scale study of peptide features defining immunogenicity of cancer neo-epitopes. ''NAR Cancer''. 2024 Mar; '''6''' (1):zcae002
Assessment of salivary miRNA, clinical, and demographic characterization in colorectal cancer diagnosis. Description: Koopaie, Maryam, et al. Assessment of salivary miRNA, clinical, and demographic characterization in colorectal cancer diagnosis. ''Transl Oncol''. 2024 Mar; '''41''': 101880
Association between postinduction hypotension and postoperative mortality: a single-centre retrospective cohort study. Description: Nakanishi, Toshiyuki, et al. Association between postinduction hypotension and postoperative mortality: a single-centre retrospective cohort study. ''Can J Anaesth''. 2024 Mar; '''71''' (3):343-352
Cancer Mutations Converge on a Collection of Protein Assemblies to Predict Resistance to Replication Stress. Description: Zhao, Xiaoyu, et al. Cancer Mutations Converge on a Collection of Protein Assemblies to Predict Resistance to Replication Stress. ''Cancer Discov''. 2024 Mar 1; '''14''' (3):508-523
Cortical thickness modeling and variability in Alzheimer's disease and frontotemporal dementia. Description: Perez-Millan, Agnes, et al. Cortical thickness modeling and variability in Alzheimer's disease and frontotemporal dementia. ''J Neurol''. 2024 Mar; '''271''' (3):1428-1438
Decoding surgical skill: an objective and efficient algorithm for surgical skill classification based on surgical gesture features -experimental studies. Description: Chen, Zixin, et al. Decoding surgical skill: an objective and efficient algorithm for surgical skill classification based on surgical gesture features -experimental studies. ''Int J Surg''. 2024 Mar 1; '''110''' (3):1441-1449
Development and multi-institutional validation of a deep learning model for grading of vesicoureteral reflux on voiding cystourethrogram: a retrospective multicenter study. Description: Li, Zhanchi, et al. Development and multi-institutional validation of a deep learning model for grading of vesicoureteral reflux on voiding cystourethrogram: a retrospective multicenter study. ''EClinicalMedicine''. 2024 Mar; '''69''': 102466
Evaluating the heterogeneous effect of extended culture to blastocyst transfer on the implantation outcome via causal inference in fresh ICSI cycles. Description: Kan-Tor, Yoav, et al. Evaluating the heterogeneous effect of extended culture to blastocyst transfer on the implantation outcome via causal inference in fresh ICSI cycles. ''J Assist Reprod Genet''. 2024 Mar; '''41''' (3):703-715
Few-shot genes selection: subset of PAM50 genes for breast cancer subtypes classification. Description: Okimoto, Leandro Y S, et al. Few-shot genes selection: subset of PAM50 genes for breast cancer subtypes classification. ''BMC Bioinformatics''. 2024 Mar 1; '''25''' (1):92
Foveal Thickness Fluctuations in Anti-VEGF Treatment for Central Retinal Vein Occlusion. Description: Nagasato, Daisuke, et al. Foveal Thickness Fluctuations in Anti-VEGF Treatment for Central Retinal Vein Occlusion. ''Ophthalmol Sci''. 2024 Mar-Apr; '''4''' (2):100418
Genome-wide association study identifies human genetic variants associated with fatal outcome from Lassa fever. Description: Kotliar, Dylan, et al. Genome-wide association study identifies human genetic variants associated with fatal outcome from Lassa fever. ''Nat Microbiol''. 2024 Mar; '''9''' (3):751-762
Identification of RNA-based cell-type markers for stem-cell manufacturing systems with a statistical scoring function. Description: Shi, Yu, et al. Identification of RNA-based cell-type markers for stem-cell manufacturing systems with a statistical scoring function. ''Gene Rep''. 2024 Mar; '''34''':
Identifying Anterior Cruciate Ligament Injuries Through Automated Video Analysis of In-Game Motion Patterns. Description: Schulc, Attila, et al. Identifying Anterior Cruciate Ligament Injuries Through Automated Video Analysis of In-Game Motion Patterns. ''Orthop J Sports Med''. 2024 Mar; '''12''' (3):23259671231221579
Impact of hemodilution on flow cytometry based measurable residual disease assessment in acute myeloid leukemia. Description: Tettero, Jesse M, et al. Impact of hemodilution on flow cytometry based measurable residual disease assessment in acute myeloid leukemia. ''Leukemia''. 2024 Mar; '''38''' (3):630-639
Increased heterogeneity in expression of genes associated with cancer progression and drug resistance. Description: Bose, Anwesha, et al. Increased heterogeneity in expression of genes associated with cancer progression and drug resistance. ''Transl Oncol''. 2024 Mar; '''41''': 101879
Intra-neuronal alpha-synuclein deposition is related to cardiac noradrenergic deficiency and olfactory dysfunction in neurogenic orthostatic hypotension. Description: Isonaka, Risa, et al. Intra-neuronal alpha-synuclein deposition is related to cardiac noradrenergic deficiency and olfactory dysfunction in neurogenic orthostatic hypotension. ''Res Sq''. 2024 Mar 1;
Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights. Description: Tang, Alice S, et al. Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights. ''Nat Aging''. 2024 Mar; '''4''' (3):379-395
Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks. Description: Jing, Xueping, et al. Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks. ''Eur Radiol''. 2024 Mar; '''34''' (3):2084-2092
MYC targeting by OMO-103 in solid tumors: a phase 1 trial. Description: Garralda, Elena, et al. MYC targeting by OMO-103 in solid tumors: a phase 1 trial. ''Nat Med''. 2024 Mar; '''30''' (3):762-771
Normal tissue complication probability models of hypothyroidism after radiotherapy for breast cancer. Description: Park, Ye-In, et al. Normal tissue complication probability models of hypothyroidism after radiotherapy for breast cancer. ''Clin Transl Radiat Oncol''. 2024 Mar; '''45''': 100734
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation. Description: Ge, Ruiyang, et al. Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation. ''Lancet Digit Health''. 2024 Mar; '''6''' (3):e211-e221
Predicting the Outcome of Pediatric Oral Food Challenges for Determining Tolerance Development. Description: Kim, Hamin, et al. Predicting the Outcome of Pediatric Oral Food Challenges for Determining Tolerance Development. ''Allergy Asthma Immunol Res''. 2024 Mar; '''16''' (2):179-190
Rapid discovery of high-affinity antibodies via massively parallel sequencing, ribosome display and affinity screening. Description: Porebski, Benjamin T, et al. Rapid discovery of high-affinity antibodies via massively parallel sequencing, ribosome display and affinity screening. ''Nat Biomed Eng''. 2024 Mar; '''8''' (3):214-232
RNA structure profiling at single-cell resolution reveals new determinants of cell identity. Description: Wang, Jiaxu, et al. RNA structure profiling at single-cell resolution reveals new determinants of cell identity. ''Nat Methods''. 2024 Mar; '''21''' (3):411-422
Spatially organized cellular communities form the developing human heart. Description: Farah, Elie N, et al. Spatially organized cellular communities form the developing human heart. ''Nature''. 2024 Mar; '''627''' (8005):854-864
The astrocyte-produced growth factor HB-EGF limits autoimmune CNS pathology. Description: Linnerbauer, Mathias, et al. The astrocyte-produced growth factor HB-EGF limits autoimmune CNS pathology. ''Nat Immunol''. 2024 Mar; '''25''' (3):432-447
Towards a hybrid model-driven platform based on flux balance analysis and a machine learning pipeline for biosystem design. Description: Wu, Debiao, et al. Towards a hybrid model-driven platform based on flux balance analysis and a machine learning pipeline for biosystem design. ''Synth Syst Biotechnol''. 2024 Mar; '''9''' (1):33-42
Comparison of individual and ensemble machine learning models for prediction of sulphate levels in untreated and treated Acid Mine Drainage. Description: Hasrod, Taskeen, et al. Comparison of individual and ensemble machine learning models for prediction of sulphate levels in untreated and treated Acid Mine Drainage. ''Environ Monit Assess''. 2024 Mar 2; '''196''' (4):332
Learning to Choose: Behavioral Dynamics Underlying the Initial Acquisition of Decision Making. Description: White, Samantha R, et al. Learning to Choose: Behavioral Dynamics Underlying the Initial Acquisition of Decision Making. ''bioRxiv''. 2024 Mar 3;
A machine learning toolbox for the analysis of sharp-wave ripples reveals common waveform features across species. Description: Navas-Olive, Andrea, et al. A machine learning toolbox for the analysis of sharp-wave ripples reveals common waveform features across species. ''Commun Biol''. 2024 Mar 4; '''7''' (1):211
An integrative approach to protein sequence design through multiobjective optimization. Description: Hong, Lu, et al. An integrative approach to protein sequence design through multiobjective optimization. ''bioRxiv''. 2024 Mar 4;
State-transition dynamics of resting-state functional magnetic resonance imaging data: model comparison and test-to-retest analysis. Description: Islam, Saiful, et al. State-transition dynamics of resting-state functional magnetic resonance imaging data: model comparison and test-to-retest analysis. ''BMC Neurosci''. 2024 Mar 4; '''25''' (1):14
Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data. Description: Tu, Jun-Bo, et al. Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data. ''Sci Rep''. 2024 Mar 4; '''14''' (1):5245
Deep learning-based automatic segmentation of meningioma from T1-weighted contrast-enhanced MRI for preoperative meningioma differentiation using radiomic features. Description: Yang, Liping, et al. Deep learning-based automatic segmentation of meningioma from T1-weighted contrast-enhanced MRI for preoperative meningioma differentiation using radiomic features. ''BMC Med Imaging''. 2024 Mar 5; '''24''' (1):56
ML-Based Detection of DDoS Attacks Using Evolutionary Algorithms Optimization. Description: Talpur, Fauzia, et al. ML-Based Detection of DDoS Attacks Using Evolutionary Algorithms Optimization. ''Sensors (Basel)''. 2024 Mar 5; '''24''' (5):
Proportion-based normalizations outperform compositional data transformations in machine learning applications. Description: Yerke, Aaron, et al. Proportion-based normalizations outperform compositional data transformations in machine learning applications. ''Microbiome''. 2024 Mar 5; '''12''' (1):45
Riboformer: a deep learning framework for predicting context-dependent translation dynamics. Description: Shao, Bin, et al. Riboformer: a deep learning framework for predicting context-dependent translation dynamics. ''Nat Commun''. 2024 Mar 5; '''15''' (1):2011
Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality. Description: Hasibi, Ramin, et al. Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality. ''NPJ Syst Biol Appl''. 2024 Mar 6; '''10''' (1):24
Structure-activity relationship study of anti-wear additives in rapeseed oil based on machine learning and logistic regression. Description: Liu, Jianfang, et al. Structure-activity relationship study of anti-wear additives in rapeseed oil based on machine learning and logistic regression. ''RSC Adv''. 2024 Mar 6; '''14''' (12):8464-8480
Use of the energy waveform electrocardiogram to detect subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus. Description: Soh, Cheng Hwee, et al. Use of the energy waveform electrocardiogram to detect subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus. ''Cardiovasc Diabetol''. 2024 Mar 6; '''23''' (1):91
Visual acuity prediction on real-life patient data using a machine learning based multistage system. Description: Schlosser, Tobias, et al. Visual acuity prediction on real-life patient data using a machine learning based multistage system. ''Sci Rep''. 2024 Mar 6; '''14''' (1):5532
bacLIFE: a user-friendly computational workflow for genome analysis and prediction of lifestyle-associated genes in bacteria. Description: Guerrero-Egido, Guillermo, et al. bacLIFE: a user-friendly computational workflow for genome analysis and prediction of lifestyle-associated genes in bacteria. ''Nat Commun''. 2024 Mar 7; '''15''' (1):2072
Classification of Schizophrenia, Bipolar Disorder and Major Depressive Disorder with Comorbid Traits and Deep Learning Algorithms. Description: Chen, Xiangning, et al. Classification of Schizophrenia, Bipolar Disorder and Major Depressive Disorder with Comorbid Traits and Deep Learning Algorithms. ''Res Sq''. 2024 Mar 7;
Gut microbiome features and metabolites in non-alcoholic fatty liver disease among community-dwelling middle-aged and older adults. Description: Zeng, Fangfang, et al. Gut microbiome features and metabolites in non-alcoholic fatty liver disease among community-dwelling middle-aged and older adults. ''BMC Med''. 2024 Mar 7; '''22''' (1):104
Mind and body connection in expert meditators: a computational study based on central and peripheral nervous system. Description: Borghesi, Francesca, et al. Mind and body connection in expert meditators: a computational study based on central and peripheral nervous system. ''BMC Complement Med Ther''. 2024 Mar 7; '''24''' (1):117
Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma. Description: Vollmer, Andreas, et al. Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma. ''Sci Rep''. 2024 Mar 7; '''14''' (1):5687
Practical RGB-to-XYZ Color Transformation Matrix Estimation under Different Lighting Conditions for Graffiti Documentation. Description: Molada-Tebar, Adolfo, et al. Practical RGB-to-XYZ Color Transformation Matrix Estimation under Different Lighting Conditions for Graffiti Documentation. ''Sensors (Basel)''. 2024 Mar 7; '''24''' (6):
Ensemble Classifier Based on Interval Modeling for Microarray Datasets. Description: Bentkowska, Urszula, et al. Ensemble Classifier Based on Interval Modeling for Microarray Datasets. ''Entropy (Basel)''. 2024 Mar 8; '''26''' (3):
Machine learning predictor PSPire screens for phase-separating proteins lacking intrinsically disordered regions. Description: Hou, Shuang, et al. Machine learning predictor PSPire screens for phase-separating proteins lacking intrinsically disordered regions. ''Nat Commun''. 2024 Mar 8; '''15''' (1):2147
The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population. Description: Kim, Na Yeon, et al. The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population. ''Sci Rep''. 2024 Mar 8; '''14''' (1):5749
Novel 3D-based deep learning for classification of acute exacerbation of idiopathic pulmonary fibrosis using high-resolution CT. Description: Huang, Xinmei, et al. Novel 3D-based deep learning for classification of acute exacerbation of idiopathic pulmonary fibrosis using high-resolution CT. ''BMJ Open Respir Res''. 2024 Mar 9; '''11''' (1):
Integrating core physics and machine learning for improved parameter prediction in boiling water reactor operations. Description: Oktavian, M R, et al. Integrating core physics and machine learning for improved parameter prediction in boiling water reactor operations. ''Sci Rep''. 2024 Mar 10; '''14''' (1):5835
Development and validation of 'Patient Optimizer' (POP) algorithms for predicting surgical risk with machine learning. Description: Kowadlo, Gideon, et al. Development and validation of 'Patient Optimizer' (POP) algorithms for predicting surgical risk with machine learning. ''BMC Med Inform Decis Mak''. 2024 Mar 11; '''24''' (1):70
3DCellComposer - A Versatile Pipeline Utilizing 2D Cell Segmentation Methods for 3D Cell Segmentation. Description: Chen, Haoran, et al. 3DCellComposer - A Versatile Pipeline Utilizing 2D Cell Segmentation Methods for 3D Cell Segmentation. ''bioRxiv''. 2024 Mar 12;
Hierarchical Assembly of Single-Stranded RNA. Description: Pietrek, Lisa M, et al. Hierarchical Assembly of Single-Stranded RNA. ''J Chem Theory Comput''. 2024 Mar 12; '''20''' (5):2246-2260
Identification and interpretation of gait analysis features and foot conditions by explainable AI. Description: Ozates, Mustafa Erkam, et al. Identification and interpretation of gait analysis features and foot conditions by explainable AI. ''Sci Rep''. 2024 Mar 12; '''14''' (1):5998
Chronological transitions of hepatocyte growth factor treatment effects in spinal cord injury tissue. Description: Okano, Yuji, et al. Chronological transitions of hepatocyte growth factor treatment effects in spinal cord injury tissue. ''Inflamm Regen''. 2024 Mar 13; '''44''' (1):10
Classification of likely functional class for ligand binding sites identified from fragment screening. Description: Utges, Javier S, et al. Classification of likely functional class for ligand binding sites identified from fragment screening. ''Commun Biol''. 2024 Mar 13; '''7''' (1):320
Immune System Deficiencies Do Not Alter SARS-CoV-2 Evolutionary Rate but Favour the Emergence of Mutations by Extending Viral Persistence. Description: Manuto, Laura, et al. Immune System Deficiencies Do Not Alter SARS-CoV-2 Evolutionary Rate but Favour the Emergence of Mutations by Extending Viral Persistence. ''Viruses''. 2024 Mar 13; '''16''' (3):
Inter-species interactions between two bacterial flower commensals and a floral pathogen reduce disease incidence and alter pathogen activity. Description: Hassani, M Amine, et al. Inter-species interactions between two bacterial flower commensals and a floral pathogen reduce disease incidence and alter pathogen activity. ''mBio''. 2024 Mar 13; '''15''' (3):e0021324
In vivo CRISPR screening directly targeting testicular cells. Description: Noguchi, Yuki, et al. In vivo CRISPR screening directly targeting testicular cells. ''Cell Genom''. 2024 Mar 13; '''4''' (3):100510
Long-term, non-invasive FTIR detection of low-dose ionizing radiation exposure. Description: Inman, Jamie L, et al. Long-term, non-invasive FTIR detection of low-dose ionizing radiation exposure. ''Sci Rep''. 2024 Mar 13; '''14''' (1):6119
Predicting early Alzheimer's with blood biomarkers and clinical features. Description: AlMansoori, Muaath Ebrahim, et al. Predicting early Alzheimer's with blood biomarkers and clinical features. ''Sci Rep''. 2024 Mar 13; '''14''' (1):6039
Analysis and evaluation of explainable artificial intelligence on suicide risk assessment. Description: Tang, Hao, et al. Analysis and evaluation of explainable artificial intelligence on suicide risk assessment. ''Sci Rep''. 2024 Mar 14; '''14''' (1):6163
Comparison between postcontrast thin-slice T1-weighted 2D spin echo and 3D T1-weighted SPACE sequences in the detection of brain metastases at 1.5 and 3 T. Description: Vymazal, Josef, et al. Comparison between postcontrast thin-slice T1-weighted 2D spin echo and 3D T1-weighted SPACE sequences in the detection of brain metastases at 1.5 and 3 T. ''Insights Imaging''. 2024 Mar 14; '''15''' (1):73
Deep Learning for Gas Sensing via Infrared Spectroscopy. Description: Chowdhury, M Arshad Zahangir, et al. Deep Learning for Gas Sensing via Infrared Spectroscopy. ''Sensors (Basel)''. 2024 Mar 14; '''24''' (6):
Identifying microRNAs associated with tumor immunotherapy response using an interpretable machine learning model. Description: Nam, Dong-Yeon, et al. Identifying microRNAs associated with tumor immunotherapy response using an interpretable machine learning model. ''Sci Rep''. 2024 Mar 14; '''14''' (1):6172
Learnt representations of proteins can be used for accurate prediction of small molecule binding sites on experimentally determined and predicted protein structures. Description: Carbery, Anna, et al. Learnt representations of proteins can be used for accurate prediction of small molecule binding sites on experimentally determined and predicted protein structures. ''J Cheminform''. 2024 Mar 14; '''16''' (1):32
Mitochondrial genome plasticity of mammalian species. Description: Biro, Balint, et al. Mitochondrial genome plasticity of mammalian species. ''BMC Genomics''. 2024 Mar 14; '''25''' (1):278
AI-enabled evaluation of genome-wide association relevance and polygenic risk score prediction in Alzheimer's disease. Description: Platt, Daniel E, et al. AI-enabled evaluation of genome-wide association relevance and polygenic risk score prediction in Alzheimer's disease. ''iScience''. 2024 Mar 15; '''27''' (3):109209
Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed. Description: Hoang, Minh Long, et al. Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed. ''Sensors (Basel)''. 2024 Mar 15; '''24''' (6):
Designing Sustainable Hydrophilic Interfaces via Feature Selection from Molecular Descriptors and Time-Domain Nuclear Magnetic Resonance Relaxation Curves. Description: Okada, Masayuki, et al. Designing Sustainable Hydrophilic Interfaces via Feature Selection from Molecular Descriptors and Time-Domain Nuclear Magnetic Resonance Relaxation Curves. ''Polymers (Basel)''. 2024 Mar 15; '''16''' (6):
Development of phenotyping algorithms for hypertensive disorders of pregnancy (HDP) and their application in more than 22,000 pregnant women. Description: Mizuno, Satoshi, et al. Development of phenotyping algorithms for hypertensive disorders of pregnancy (HDP) and their application in more than 22,000 pregnant women. ''Sci Rep''. 2024 Mar 15; '''14''' (1):6292
Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project. Description: Bala, Jerzy, et al. Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project. ''BMJ Open''. 2024 Mar 15; '''14''' (3):e075095
Highly accurate diagnosis of pancreatic cancer by integrative modeling using gut microbiome and exposome data. Description: Zhang, Yuli, et al. Highly accurate diagnosis of pancreatic cancer by integrative modeling using gut microbiome and exposome data. ''iScience''. 2024 Mar 15; '''27''' (3):109294
Impact of confrontation to patient suffering and death on wellbeing and burnout in professionals: a cross-sectional study. Description: Delafontaine, Anne-Catherine, et al. Impact of confrontation to patient suffering and death on wellbeing and burnout in professionals: a cross-sectional study. ''BMC Palliat Care''. 2024 Mar 15; '''23''' (1):74
Influence of sample preparation methods on FTIR spectra for taxonomic identification of tropical trees in the Atlantic forest. Description: Cubas Pereira, Douglas, et al. Influence of sample preparation methods on FTIR spectra for taxonomic identification of tropical trees in the Atlantic forest. ''Heliyon''. 2024 Mar 15; '''10''' (5):e27232
ProteoMixture: A cell type deconvolution tool for bulk tissue proteomic data. Description: Teng, Pang-Ning, et al. ProteoMixture: A cell type deconvolution tool for bulk tissue proteomic data. ''iScience''. 2024 Mar 15; '''27''' (3):109198
Generative deep learning for the development of a type 1 diabetes simulator. Description: Mujahid, Omer, et al. Generative deep learning for the development of a type 1 diabetes simulator. ''Commun Med (Lond)''. 2024 Mar 16; '''4''' (1):51
Development and validation of predictive models for myopia onset and progression using extensive 15-year refractive data in children and adolescents. Description: Zhao, Jing, et al. Development and validation of predictive models for myopia onset and progression using extensive 15-year refractive data in children and adolescents. ''J Transl Med''. 2024 Mar 17; '''22''' (1):289
Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study. Description: Vike, Nicole L, et al. Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study. ''JMIR Public Health Surveill''. 2024 Mar 18; '''10''': e47979
Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus. Description: Mwanga, Emmanuel P, et al. Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus. ''Parasit Vectors''. 2024 Mar 18; '''17''' (1):143
Co-occurrence network analysis reveals the alterations of the skin microbiome and metabolome in adults with mild to moderate atopic dermatitis. Description: P Gomes, Paulo Wender, et al. Co-occurrence network analysis reveals the alterations of the skin microbiome and metabolome in adults with mild to moderate atopic dermatitis. ''mSystems''. 2024 Mar 19; '''9''' (3):e0111923
Establishment of a non-Westernized gut microbiota in men who have sex with men is associated with sexual practices. Description: Huang, Kun D, et al. Establishment of a non-Westernized gut microbiota in men who have sex with men is associated with sexual practices. ''Cell Rep Med''. 2024 Mar 19; '''5''' (3):101426
Machine learning analysis of RB-TnSeq fitness data predicts functional gene modules in Pseudomonas putida KT2440. Description: Borchert, Andrew J, et al. Machine learning analysis of RB-TnSeq fitness data predicts functional gene modules in Pseudomonas putida KT2440. ''mSystems''. 2024 Mar 19; '''9''' (3):e0094223
On-the-fly Raman microscopy guaranteeing the accuracy of discrimination. Description: Tabata, Koji, et al. On-the-fly Raman microscopy guaranteeing the accuracy of discrimination. ''Proc Natl Acad Sci U S A''. 2024 Mar 19; '''121''' (12):e2304866121
Spiking GABAergic OPC tumor cells prolong survival in IDH1 mutant glioma. Description: Curry, Rachel Naomi, et al. Spiking GABAergic OPC tumor cells prolong survival in IDH1 mutant glioma. ''bioRxiv''. 2024 Mar 19;
Systematic analysis of off-label and off-guideline cancer therapy usage in a real-world cohort of 165,912 US patients. Description: Liu, Ruishan, et al. Systematic analysis of off-label and off-guideline cancer therapy usage in a real-world cohort of 165,912 US patients. ''Cell Rep Med''. 2024 Mar 19; '''5''' (3):101444
High performance Legionella pneumophila source attribution using genomics-based machine learning classification. Description: Buultjens, Andrew H, et al. High performance Legionella pneumophila source attribution using genomics-based machine learning classification. ''Appl Environ Microbiol''. 2024 Mar 20; '''90''' (3):e0129223
Machine-Learning-Based Prediction of Plant Cuticle-Air Partition Coefficients for Organic Pollutants: Revealing Mechanisms from a Molecular Structure Perspective. Description: Tao, Tianyun, et al. Machine-Learning-Based Prediction of Plant Cuticle-Air Partition Coefficients for Organic Pollutants: Revealing Mechanisms from a Molecular Structure Perspective. ''Molecules''. 2024 Mar 20; '''29''' (6):
Mapping human tissues with highly multiplexed RNA in situ hybridization. Description: Kalhor, Kian, et al. Mapping human tissues with highly multiplexed RNA in situ hybridization. ''Nat Commun''. 2024 Mar 20; '''15''' (1):2511
Modeling alternative translation initiation sites in plants reveals evolutionarily conserved cis-regulatory codes in eukaryotes. Description: Wu, Ting-Ying, et al. Modeling alternative translation initiation sites in plants reveals evolutionarily conserved cis-regulatory codes in eukaryotes. ''Genome Res''. 2024 Mar 20; '''34''' (2):272-285
Explicable prioritization of genetic variants by integration of rule-based and machine learning algorithms for diagnosis of rare Mendelian disorders. Description: Kim, Ho Heon, et al. Explicable prioritization of genetic variants by integration of rule-based and machine learning algorithms for diagnosis of rare Mendelian disorders. ''Hum Genomics''. 2024 Mar 21; '''18''' (1):28
Harmonized disposable income dataset for Europe at subnational level. Description: Mikou, Mehdi, et al. Harmonized disposable income dataset for Europe at subnational level. ''Sci Data''. 2024 Mar 21; '''11''' (1):308
Leveraging Deep Learning for Fine-Grained Categorization of Parkinson's Disease Progression Levels through Analysis of Vocal Acoustic Patterns. Description: Malekroodi, Hadi Sedigh, et al. Leveraging Deep Learning for Fine-Grained Categorization of Parkinson's Disease Progression Levels through Analysis of Vocal Acoustic Patterns. ''Bioengineering (Basel)''. 2024 Mar 21; '''11''' (3):
Prediction of DNA i-motifs via machine learning. Description: Yang, Bibo, et al. Prediction of DNA i-motifs via machine learning. ''Nucleic Acids Res''. 2024 Mar 21; '''52''' (5):2188-2197
Accuracy of generative deep learning model for macular anatomy prediction from optical coherence tomography images in macular hole surgery. Description: Kwon, Han Jo, et al. Accuracy of generative deep learning model for macular anatomy prediction from optical coherence tomography images in macular hole surgery. ''Sci Rep''. 2024 Mar 22; '''14''' (1):6913
Improving the prediction performance of leaf water content by coupling multi-source data with machine learning in rice (Oryza sativa L.). Description: Zhang, Xuenan, et al. Improving the prediction performance of leaf water content by coupling multi-source data with machine learning in rice (Oryza sativa L.). ''Plant Methods''. 2024 Mar 23; '''20''' (1):48
A multi-omics systems vaccinology resource to develop and test computational models of immunity. Description: Shinde, Pramod, et al. A multi-omics systems vaccinology resource to develop and test computational models of immunity. ''Cell Rep Methods''. 2024 Mar 25; '''4''' (3):100731
Effectiveness of molecular fingerprints for exploring the chemical space of natural products. Description: Boldini, Davide, et al. Effectiveness of molecular fingerprints for exploring the chemical space of natural products. ''J Cheminform''. 2024 Mar 25; '''16''' (1):35
Implementation of IFPTML Computational Models in Drug Discovery Against Flaviviridae Family. Description: Velasquez-Lopez, Yendrek, et al. Implementation of IFPTML Computational Models in Drug Discovery Against Flaviviridae Family. ''J Chem Inf Model''. 2024 Mar 25; '''64''' (6):1841-1852
Pooled CRISPR screening of high-content cellular phenotypes using ghost cytometry. Description: Tsubouchi, Asako, et al. Pooled CRISPR screening of high-content cellular phenotypes using ghost cytometry. ''Cell Rep Methods''. 2024 Mar 25; '''4''' (3):100737
Prospective virtual screening combined with bio-molecular simulation enabled identification of new inhibitors for the KRAS drug target. Description: Ajmal, Amar, et al. Prospective virtual screening combined with bio-molecular simulation enabled identification of new inhibitors for the KRAS drug target. ''BMC Chem''. 2024 Mar 25; '''18''' (1):57
A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes. Description: Li, Bingrui, et al. A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes. ''Elife''. 2024 Mar 26; '''12''':
Comprehensive Analysis of Coupled Proline Cis-Trans States in Bradykinin Using omegaBP-REMD Simulations. Description: Kienlein, Maximilian, et al. Comprehensive Analysis of Coupled Proline Cis-Trans States in Bradykinin Using omegaBP-REMD Simulations. ''J Chem Theory Comput''. 2024 Mar 26; '''20''' (6):2643-2654
Machine Learning Isotropic g Values of Radical Polymers. Description: Daniel, Davis Thomas, et al. Machine Learning Isotropic g Values of Radical Polymers. ''J Chem Theory Comput''. 2024 Mar 26; '''20''' (6):2592-2604
Precise prediction of phase-separation key residues by machine learning. Description: Sun, Jun, et al. Precise prediction of phase-separation key residues by machine learning. ''Nat Commun''. 2024 Mar 26; '''15''' (1):2662
Predicting and improving complex beer flavor through machine learning. Description: Schreurs, Michiel, et al. Predicting and improving complex beer flavor through machine learning. ''Nat Commun''. 2024 Mar 26; '''15''' (1):2368
Exploring super-resolution spatial downscaling of several meteorological variables and potential applications for photovoltaic power. Description: Damiani, Alessandro, et al. Exploring super-resolution spatial downscaling of several meteorological variables and potential applications for photovoltaic power. ''Sci Rep''. 2024 Mar 27; '''14''' (1):7254
SEAOP: a statistical ensemble approach for outlier detection in quantitative proteomics data. Description: Huang, Jinze, et al. SEAOP: a statistical ensemble approach for outlier detection in quantitative proteomics data. ''Brief Bioinform''. 2024 Mar 27; '''25''' (3):
A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data. Description: Cusworth, Samuel, et al. A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data. ''BMC Med Inform Decis Mak''. 2024 Mar 28; '''24''' (1):90
Bioorthogonal photocatalytic proximity labeling in primary living samples. Description: Liu, Ziqi, et al. Bioorthogonal photocatalytic proximity labeling in primary living samples. ''Nat Commun''. 2024 Mar 28; '''15''' (1):2712
Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in Charnockite rocks. Description: Kochukrishnan, Sowmya, et al. Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in Charnockite rocks. ''Sci Rep''. 2024 Mar 28; '''14''' (1):7360
GraphKM: machine and deep learning for K(M) prediction of wildtype and mutant enzymes. Description: He, Xiao, et al. GraphKM: machine and deep learning for K(M) prediction of wildtype and mutant enzymes. ''BMC Bioinformatics''. 2024 Mar 28; '''25''' (1):135
Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY. Description: Vanea, Claudia, et al. Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY. ''Nat Commun''. 2024 Mar 28; '''15''' (1):2710
DELVE: feature selection for preserving biological trajectories in single-cell data. Description: Ranek, Jolene S, et al. DELVE: feature selection for preserving biological trajectories in single-cell data. ''Nat Commun''. 2024 Mar 29; '''15''' (1):2765
Myocardial scar and left ventricular ejection fraction classification for electrocardiography image using multi-task deep learning. Description: Boribalburephan, Atirut, et al. Myocardial scar and left ventricular ejection fraction classification for electrocardiography image using multi-task deep learning. ''Sci Rep''. 2024 Mar 29; '''14''' (1):7523
Combined analysis of bulk RNA and single-cell RNA sequencing to identify pyroptosis-related markers and the role of dendritic cells in chronic obstructive pulmonary disease. Description: Zheng, Huiyan, et al. Combined analysis of bulk RNA and single-cell RNA sequencing to identify pyroptosis-related markers and the role of dendritic cells in chronic obstructive pulmonary disease. ''Heliyon''. 2024 Mar 30; '''10''' (6):e27808
Networks of gut bacteria relate to cardiovascular disease in a multi-ethnic population: the HELIUS study. Description: Warmbrunn, Moritz V, et al. Networks of gut bacteria relate to cardiovascular disease in a multi-ethnic population: the HELIUS study. ''Cardiovasc Res''. 2024 Mar 30; '''120''' (4):372-384
Procrustes is a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data. Description: Kotlov, Nikita, et al. Procrustes is a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data. ''Commun Biol''. 2024 Mar 30; '''7''' (1):392
Amyloid-beta prediction machine learning model using source-based morphometry across neurocognitive disorders. Description: Momota, Yuki, et al. Amyloid-beta prediction machine learning model using source-based morphometry across neurocognitive disorders. ''Sci Rep''. 2024 Apr 1; '''14''' (1):7633
Automated Detection and Segmentation of Bone Metastases on Spine MRI Using U-Net: A Multicenter Study. Description: Kim, Dong Hyun, et al. Automated Detection and Segmentation of Bone Metastases on Spine MRI Using U-Net: A Multicenter Study. ''Korean J Radiol''. 2024 Apr; '''25''' (4):363-373
Cardiovascular Outcomes with Intravitreal Anti-Vascular Endothelial Growth Factor Therapy in Patients with Diabetes: A Real-World Data Analysis. Description: Lai, Jonathan Y M, et al. Cardiovascular Outcomes with Intravitreal Anti-Vascular Endothelial Growth Factor Therapy in Patients with Diabetes: A Real-World Data Analysis. ''Diabetes Ther''. 2024 Apr; '''15''' (4):833-842
Delta Radiomic Features Predict Resection Margin Status and Overall Survival in Neoadjuvant-Treated Pancreatic Cancer Patients. Description: Wang, Kai, et al. Delta Radiomic Features Predict Resection Margin Status and Overall Survival in Neoadjuvant-Treated Pancreatic Cancer Patients. ''Ann Surg Oncol''. 2024 Apr; '''31''' (4):2608-2620
Differential predictability of cognitive profiles from brain structure in older males and females. Description: Jockwitz, Christiane, et al. Differential predictability of cognitive profiles from brain structure in older males and females. ''Geroscience''. 2024 Apr; '''46''' (2):1713-1730
Impact of signal intensity normalization of MRI on the generalizability of radiomic-based prediction of molecular glioma subtypes. Description: Foltyn-Dumitru, Martha, et al. Impact of signal intensity normalization of MRI on the generalizability of radiomic-based prediction of molecular glioma subtypes. ''Eur Radiol''. 2024 Apr; '''34''' (4):2782-2790
Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT. Description: Yin, Yunchao, et al. Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT. ''Abdom Radiol (NY)''. 2024 Apr; '''49''' (4):1122-1131
Machine learning model of facial expression outperforms models using analgesia nociception index and vital signs to predict postoperative pain intensity: a pilot study. Description: Park, Insun, et al. Machine learning model of facial expression outperforms models using analgesia nociception index and vital signs to predict postoperative pain intensity: a pilot study. ''Korean J Anesthesiol''. 2024 Apr; '''77''' (2):195-204
Multimodal Prediction of 3- and 12-Month Outcomes in ICU Patients with Acute Disorders of Consciousness. Description: Amiri, Moshgan, et al. Multimodal Prediction of 3- and 12-Month Outcomes in ICU Patients with Acute Disorders of Consciousness. ''Neurocrit Care''. 2024 Apr; '''40''' (2):718-733
Prediction of therapy response of breast cancer patients with machine learning based on clinical data and imaging data derived from breast [(18)F]FDG-PET/MRI. Description: Jannusch, Kai, et al. Prediction of therapy response of breast cancer patients with machine learning based on clinical data and imaging data derived from breast [(18)F]FDG-PET/MRI. ''Eur J Nucl Med Mol Imaging''. 2024 Apr; '''51''' (5):1451-1461
Reduction in metabolic noise reveals rejuvenation following transient severe caloric restriction. Description: Levkovich, Guy, et al. Reduction in metabolic noise reveals rejuvenation following transient severe caloric restriction. ''Geroscience''. 2024 Apr; '''46''' (2):2343-2358
Transcriptional dynamics during Rhodococcus erythropolis infection with phage WC1. Description: Willner, Dana L, et al. Transcriptional dynamics during Rhodococcus erythropolis infection with phage WC1. ''BMC Microbiol''. 2024 Apr 1; '''24''' (1):107
Blood leukocytes as a non-invasive diagnostic tool for thyroid nodules: a prospective cohort study. Description: Wang, Feihang, et al. Blood leukocytes as a non-invasive diagnostic tool for thyroid nodules: a prospective cohort study. ''BMC Med''. 2024 Apr 2; '''22''' (1):147
Predicting condensate formation of protein and RNA under various environmental conditions. Description: Chin, Ka Yin, et al. Predicting condensate formation of protein and RNA under various environmental conditions. ''BMC Bioinformatics''. 2024 Apr 2; '''25''' (1):143
Deep learning-augmented T-junction droplet generation. Description: Ahmadpour, Abdollah, et al. Deep learning-augmented T-junction droplet generation. ''iScience''. 2024 Apr 19; '''27''' (4):109326
Determining risk and predictors of head and neck cancer treatment-related lymphedema: A clinicopathologic and dosimetric data mining approach using interpretable machine learning and ensemble feature selection. Description: Teo, P Troy, et al. Determining risk and predictors of head and neck cancer treatment-related lymphedema: A clinicopathologic and dosimetric data mining approach using interpretable machine learning and ensemble feature selection. ''Clin Transl Radiat Oncol''. 2024 May; '''46''': 100747
Prediction of immunotherapy responsiveness in melanoma through single-cell sequencing-based characterization of the tumor immune microenvironment. Description: Dong, Yucheng, et al. Prediction of immunotherapy responsiveness in melanoma through single-cell sequencing-based characterization of the tumor immune microenvironment. ''Transl Oncol''. 2024 May; '''43''': 101910
Systemic metabolic depletion of gut microbiome undermines responsiveness to melanoma immunotherapy. Description: Zakharevich, Natalia V, et al. Systemic metabolic depletion of gut microbiome undermines responsiveness to melanoma immunotherapy. ''Life Sci Alliance''. 2024 May; '''7''' (5):
Descriptor-augmented machine learning for enzyme-chemical interaction predictions. Description: Han, Yilei, et al. Descriptor-augmented machine learning for enzyme-chemical interaction predictions. ''Synth Syst Biotechnol''. 2024 Jun; '''9''' (2):259-268
Multisequence MRI-based radiomics signature as potential biomarkers for differentiating KRAS mutations in non-small cell lung cancer with brain metastases. Description: Lv, Xinna, et al. Multisequence MRI-based radiomics signature as potential biomarkers for differentiating KRAS mutations in non-small cell lung cancer with brain metastases. ''Eur J Radiol Open''. 2024 Jun; '''12''': 100548
Validation of causal inference data using DirectLiNGAM in an environmental small-scale model and calculation settings. Description: Kurotani, Atsushi, et al. Validation of causal inference data using DirectLiNGAM in an environmental small-scale model and calculation settings. ''MethodsX''. 2024 Jun; '''12''': 102528
A deep learning model to predict Ki-67 positivity in oral squamous cell carcinoma. Description: Martino, Francesco, et al. A deep learning model to predict Ki-67 positivity in oral squamous cell carcinoma. ''J Pathol Inform''. 2024 Dec; '''15''': 100354
Breast MRI radiomics and machine learning-based predictions of response to neoadjuvant chemotherapy - How are they affected by variations in tumor delineation? Description: Hatamikia, Sepideh, et al. Breast MRI radiomics and machine learning-based predictions of response to neoadjuvant chemotherapy - How are they affected by variations in tumor delineation? ''Comput Struct Biotechnol J''. 2024 Dec; '''23''': 52-63
Cluster-based radiomics reveal spatial heterogeneity of bevacizumab response for treatment of radiotherapy-induced cerebral necrosis. Description: Tan, Hong Qi, et al. Cluster-based radiomics reveal spatial heterogeneity of bevacizumab response for treatment of radiotherapy-induced cerebral necrosis. ''Comput Struct Biotechnol J''. 2024 Dec; '''23''': 43-51
Distinct alterations of gut microbiota between viral- and non-viral-related hepatocellular carcinoma. Description: Jinato, Thananya, et al. Distinct alterations of gut microbiota between viral- and non-viral-related hepatocellular carcinoma. ''Appl Microbiol Biotechnol''. 2024 Dec; '''108''' (1):34
Predicting antimicrobial resistance in E. coli with discriminative position fused deep learning classifier. Description: Jin, Canghong, et al. Predicting antimicrobial resistance in E. coli with discriminative position fused deep learning classifier. ''Comput Struct Biotechnol J''. 2024 Dec; '''23''': 559-565
Systematic investigation of machine learning on limited data: A study on predicting protein-protein binding strength. Description: Zheng, Feifan, et al. Systematic investigation of machine learning on limited data: A study on predicting protein-protein binding strength. ''Comput Struct Biotechnol J''. 2024 Dec; '''23''': 460-472