Multi-scale Modeling and Analysis for Computational Biology Posted By: David Kennedy - Dec 28, 2010Tool/Resource: NITRC Community IEEE Transactions on Biomedical Engineering (TBME) is pleased to announce its Special Issue of TBME LETTERS on “Multi-scale Modeling and Analysis for Computational Biology and Medicine” scheduled for publication in September/October 2011. Guest Editors: Jean Louis Coatrieux, Ph.D. Laboratoire Traitement du Signal et de l’Image, Inserm Université de Rennes 1, Campus de Beaulieu 35042 Rennes Cedex, France Email : jean-louis.coatrieux@univ-rennes1.fr http://www.ltsi.univ-rennes1.fr Alejandro F. Frangi, Ph.D. CISTIB - Information & Communications Technologies Department Universitat Pompeu Fabra Roc Boronat 138 E08018 Barcelona, Spain Email: alejandro.frangi@upf.edu http://www.cistib.upf.edu Grace C.Y. Peng, Ph.D. Interagency Modeling and Analysis Group (IMAG) National Institute of Biomedical Imaging & Bioengineering 6707 Democracy Blvd., Suite 200, MSC 5469 Bethesda, MD 20892 Email: penggr@mail.nih.gov http://www.nibib.nih.gov/ David Z. D'Argenio, Ph.D. Biomedical Simulations Resource University of Southern California Los Angeles, CA 90089-11111 Email: dargenio@bmsr.usc.edu http://bmsr.usc.edu/ Vasilis Z. Marmarelis, Ph.D. Biomedical Simulations Resource University of Southern California Los Angeles, CA 90089-11111 Email: vzm@bmsr.usc.edu http://bmsr.usc.edu/ Anushka Michailova, Ph.D. National Biomedical Computation Resource (NBCR) Department of Bioengineering, PFBH 241 University of California San Diego 9500 Gilman Drive, La Jolla, CA 92093-0412 Email: amihaylo@bioeng.ucsd.edu http://cmrg.ucsd.edu/, http://nbcr.sdsc.edu/ Computational modeling and analysis in biology and medicine have received major attention in recent years. The interdisciplinary efforts developed so far aimed at elucidating structures and functions of living systems with major challenges in computational modeling and analysis to understand, analyze and predict the complex mechanisms of biological systems. Continued research investigations in computational biology and physiology have addressed important issues across many applications spanning from molecular dynamics, biological signaling pathways, cellular biology and communication, tissue mechanobiology, organ function and performance, systemic auto regulation, all the way up to lifestyle and environmental influences and behavioral responses. Researchers are now beginning to address the grand challenge of multi-scale computational modeling and analysis: effectively capturing biological and physiological interdependencies across multiple observational scales –not only in time and space, but also in physico-chemical modality– and doing so in a computationally efficient manner. The development of many such models involves the design of multimodal data acquisition instrumentation and systems capable of measuring and monitoring of structural and functional properties in vivo and in minimally invasive manner. Over the last few years, the research work is being extended not only to further improve the basic understanding of biological and physiological models but also to explore translational biomedical research. For example, multi-scale and multi-modal modeling approaches are now paving the way to better understanding of the mechanisms of disease and its treatment, thus helping to establish diagnostic biomarkers, physiology-based patient selection criteria, and more principled strategies for choosing, personalizing and optimizing therapeutic options. Multi-scale computational modeling promises to become a fundamental contributor to future biomedical sciences and technologies, and personalised predictive healthcare. IEEE TBME Letters Special Issue on “Multi-Scale Modeling and Analysis for Computational Biology and Medicine” will publish short manuscripts (up to 4 printed pages) of novel methodologies with high potential impact and early breakthroughs. As the emphasis is on publication of early breakthrough novel methodologies in a timely manner, a full statistical validation is not required however a feasibility study with a proof of concept may be demonstrated. Topical coverage of the Special Issue would include the study of multi-scale, multi-physics systems in biology and human physiology. Submissions are encouraged in translational biomedical research and applications to medicine. Where appropriate, contributors will give particular attention to the use of open modeling standards, public databases, open access infrastructures, and open source modeling frameworks in this arena. The following are example topics of interest to this special issue: - modeling and analysis methods for computational coupling across observational scales or for identifying the optimal scales for describing specific biological or physiological mechanisms - techniques for multi-scale model personalization through a combination of experimental data and innovative data assimilation/parameter identification techniques - insights into short and long-term relations/effects captured by multi-scale models and rooted on multidimensional signal or image analysis - multi-scale modelling and analysis studies that uniquely incorporate data from multi-parametric and multi-physics sensing devices and computational modeling techniques and problems capturing lifestyle and environmental factors - advances in multi-organ or multi-scale pathophysiological computational modeling - translation of multi-scale computational models to relevant diagnostic, prognostic, surgical or interventional planning problems in medicine - translation of multi-scale computational models in the optimization or response prediction of pharmacological or tissue regeneration treatments - applications in quantitative pharmacology: molecular targets to clinical translation - multi-scale molecular biology of ion channels and transporters - dynamic simulation of physiological systems –from genotype to phenotype; - methods for spatio-temporal coding by neuronal populations and multi-scale modeling linking neurophysiological function with neuropathology and behavior - multi-scale modeling and simulation methods: from molecules to cells to organisms, including § multi-level finite element methods; § methods for making the connection between continuum macro-scale models and discrete molecular phenomena; § meso-scale methods to bridge micro-scales and macro-scales; § model reduction and systems identification for multi-scale dynamical systems; § algorithmic tools for multi-scale modeling systems using optimization and simulation in time and space; § novel methods that incorporate uncertainty quantification into multiscale models. - translation of multi-scale computational physiology models to understand and optimize the performance of medical devices using computational trials based on databases of patient-specific models - multi-scale applications or demonstrators with preliminary evidence of clinical impact and added value No specific organ or biological subsystems are targeted and industrial contributions in technology development and translation to the environment or clinical practice as well as enhancement or discovery of new functional knowledge are welcome. Timeline: Deadline for submission of manuscripts: April 2, 2011 Peer-review comments will be returned to authors: May 15, 2011 Submission of revised manuscripts due on: June 1, 2011 Publication of Special Issue: Sep/Oct 2011 IEEE TBME Letters publishes breakthrough research on emerging technologies and scientific research work with high novelty and potential impact. TBME Letters follows an expedited review protocol to provide authors reviews and decision within a few weeks. Recently published Special Issues of IEEE TBME Letters include Biorobotics (Sept 2009); Neurobiosensors (November 2009); Therapeutic Ultrasound (January 2010); Multi-Parameter Optical Imaging (October 2010); and Point-of-Care Technologies (January 2011). More information about the Call for Papers and author instructions for manuscript submission are available on the website http://tbme.embs.org/. Any enquires should be directed to Guest Editors listed above or Atam Dhawan, Senior Editor In-Charge IEEE TBME Letters (dhawan@adm.njit.edu). |
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