PubMed Mentions
The links below are to publications on PubMed referring to Google CoLab. This list is gathered weekly from PubMed automatically and was last updated on September 19, 2026.
| Publication/References | |
| Time series prediction for the epidemic trends of COVID-19 using the improved LSTM deep learning method: Case studies in Russia, Peru and Iran. Description: Wang, Peipei, et al. Time series prediction for the epidemic trends of COVID-19 using the improved LSTM deep learning method: Case studies in Russia, Peru and Iran. ''Chaos Solitons Fractals''. 2020 Nov; '''140''': 110214 | |
| Two-dimensional video-based analysis of human gait using pose estimation. Description: Stenum, Jan, et al. Two-dimensional video-based analysis of human gait using pose estimation. ''PLoS Comput Biol''. 2021 Apr; '''17''' (4):e1008935 | |
| A Novel Artificial Intelligence-assisted Risk Assessment Model for Preventing Complications in Esthetic Surgery. Description: Bukret, Williams E. A Novel Artificial Intelligence-assisted Risk Assessment Model for Preventing Complications in Esthetic Surgery. ''Plast Reconstr Surg Glob Open''. 2021 Jul; '''9''' (7):e3698 | |
| Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach. Description: Kara, Su, et al. Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach. ''J Digit Imaging''. 2021 Aug; '''34''' (4):898-904 | |
| 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''': | |
| Assessing structure and disorder prediction tools for de novo emerged proteins in the age of machine learning. Description: Aubel, Margaux, et al. Assessing structure and disorder prediction tools for de novo emerged proteins in the age of machine learning. ''F1000Res''. 2023; '''12''': 347 | |
| 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 | |
| Soli-enabled noncontact heart rate detection for sleep and meditation tracking. Description: Xu, Luzhou, et al. Soli-enabled noncontact heart rate detection for sleep and meditation tracking. ''Sci Rep''. 2023 Oct 21; '''13''' (1):18008 | |
| kCSD-python, reliable current source density estimation with quality control. Description: Chintaluri, Chaitanya, et al. kCSD-python, reliable current source density estimation with quality control. ''PLoS Comput Biol''. 2024 Mar; '''20''' (3):e1011941 | |
| Genetic variation in individuals from a population of the minimalist bacteriophage Merri-merri-uth nyilam marra-natj driving evolution of the virus. Description: Thung, Tze Y, et al. Genetic variation in individuals from a population of the minimalist bacteriophage Merri-merri-uth nyilam marra-natj driving evolution of the virus. ''mBio''. 2024 Dec 11; '''15''' (12):e0256424 | |
| Self-learning model fusion for network anomaly detection: A hybrid CNN-LSTM-transformer framework. Description: Wang, Jun, et al. Self-learning model fusion for network anomaly detection: A hybrid CNN-LSTM-transformer framework. ''PLoS One''. 2025; '''20''' (10):e0332502 | |
| Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data. Description: Kawai, Yasuyuki, et al. Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data. ''BMC Emerg Med''. 2025 May 13; '''25''' (1):78 | |
| Highly stable bacteriophages PIN1 and PIN2 have hallmarks of flagellotropic phages but infect immotile bacteria. Description: Jati, Afif, et al. Highly stable bacteriophages PIN1 and PIN2 have hallmarks of flagellotropic phages but infect immotile bacteria. ''Npj Viruses''. 2025 Jul 16; '''3''' (1):56 | |
| Combining K-fold cross validation with bayesian hyperparameter optimization for accuracy enhancement of land cover and land use classification. Description: Heidari, Pooya, et al. Combining K-fold cross validation with bayesian hyperparameter optimization for accuracy enhancement of land cover and land use classification. ''Sci Rep''. 2025 Nov 13; '''15''' (1):39758 | |
| Disease-specific data augmentation enhances deep learning classification of age-related macular degeneration, diabetic retinopathy, and glaucoma. Description: Abraham, Carl Halladay, et al. Disease-specific data augmentation enhances deep learning classification of age-related macular degeneration, diabetic retinopathy, and glaucoma. ''Digit Health''. 2026 Jan-Dec; '''12''': 20552076261461391 | |
| A CHK1-mediated phosphorylation switch suppresses human Topoisomerase 1-associated genomic instability. Description: Guha Majumdar, Ananda, et al. A CHK1-mediated phosphorylation switch suppresses human Topoisomerase 1-associated genomic instability. ''EMBO J''. 2026 Jun; '''45''' (12):4220-4256 | |
| Demystifying machine learning approaches in digital bone imaging using microCT and HRpQCT. Description: David, Michael A, et al. Demystifying machine learning approaches in digital bone imaging using microCT and HRpQCT. ''Bone Rep''. 2026 Jun; '''29''': 101911 | |
| Deep Learning-Based Oral Cancer Detection Using Clinical Images. Description: Amin, Arman, et al. Deep Learning-Based Oral Cancer Detection Using Clinical Images. ''Cureus''. 2026 Jul; '''18''' (7):e112795 | |
| Protocol for conditional mapping of proximal interactomes of dimeric protein complexes using a BioID-based complementation approach. Description: Rajkumar, Abishankari, et al. Protocol for conditional mapping of proximal interactomes of dimeric protein complexes using a BioID-based complementation approach. ''STAR Protoc''. 2026 Aug 4; '''7''' (3):104759 |