IEEE TBME Letters Special Issue on “Multi-Scale Modeling and Analysis for Computational Biology and Medicine”

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. omputational 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 influence 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 break-through 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.

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

Guest Editors:

Jean Louis Coatrieux, This email address is being protected from spambots. You need JavaScript enabled to view it.

Alejandro F. Frangi, This email address is being protected from spambots. You need JavaScript enabled to view it.

Grace C.Y. Peng, This email address is being protected from spambots. You need JavaScript enabled to view it.

David Z. D"Argenio, This email address is being protected from spambots. You need JavaScript enabled to view it.

Vasilis Z. Marmarelis, This email address is being protected from spambots. You need JavaScript enabled to view it.

Anushka Michailova, This email address is being protected from spambots. You need JavaScript enabled to view it.

More information about the Call for Papers, topical coverage, 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 (This email address is being protected from spambots. You need JavaScript enabled to view it.).