Multiscale Cancer Modeling: 34 (Chapman & Hall/CRC Mathematical Biology Series) - Hardcover
Book 11 of 17: Chapman & Hall/CRC Mathematical Biology Series
Synopsis
Cancer is a complex disease process that spans multiple scales in space and time. Driven by cutting-edge mathematical and computational techniques, in silico biology provides powerful tools to investigate the mechanistic relationships of genes, cells, and tissues. It enables the creation of experimentally testable hypotheses, the integration of data across scales, and the prediction of tumor progression and treatment outcome (in silico oncology).
Drawing on an interdisciplinary group of distinguished international experts, Multiscale Cancer Modeling discusses the scientific and technical expertise necessary to conduct innovative cancer modeling research across scales. It presents contributions from some of the top in silico modeling groups in the United States and Europe.
The ultimate goal of multiscale modeling and simulation approaches is their use in clinical practice, such as supporting patient-specific treatment optimization. This volume covers state-of-the-art methods of multiscale cancer modeling and addresses the field’s potential as well as future challenges. It encourages collaborations among researchers in various disciplines to achieve breakthroughs in cancer modeling.
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About the Author
Thomas S. Deisboeck, M.D., is an associate professor of radiology at Massachusetts General Hospital, where he directs the Complex Biosystems Modeling Laboratory. He is also an affiliated faculty member of the Harvard-MIT Health Sciences and Technology Division and a member of the Dana Farber/Harvard Cancer Center.
Georgios S. Stamatakos, Ph.D., is a research professor of biological systems analysis and simulation in the Institute of Communication and Computer Systems as well as founder and leader of the In Silico Oncology Group, Laboratory of Microwaves and Fiber Optics at the National Technical University of Athens.
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Taylor & Francis Inc Dez 2010, 2010
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Buch. Condition: Neu. Neuware - Computational and mathematical cancer modeling has already become a major driving force behind interdisciplinary cancer systems biology. Understanding tumors as a complex biosystem involves finding ways to investigate and ultimately to target their many constituents and dynamic relationships across multiple scales in space and time. In other words, it requires a detailed understanding of multiscale modeling and simulation. Featuring international contributors who are key players in this important field, this book provides a comprehensive introduction to multiscale cancer modeling. It offers an accessible approach, making it useful for advanced courses on cancer modeling. Seller Inventory # 9781439814406