Multiscale Cancer Modeling

Thomas S. Deisboeck, Georgios S. Stamatakos

December 8, 2010 by CRC Press
Reference - 484 Pages - 113 B/W Illustrations
ISBN 9781439814406 - CAT# K10739
Series: Chapman & Hall/CRC Mathematical and Computational Biology


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  • Presents modeling methods and results at the forefront of cancer simulation at all levels of biocomplexity
  • Explores computational cancer research ranging from experimentally testable hypothesis generation and cross-scale data integration to patient-specific prediction of progression and treatment planning
  • Fosters transnational research interactions by bringing together many leading in silico modeling groups from around the world
  • Explains how combinations of multilevel cancer models can enhance our understanding of cancer and can help optimize its treatment


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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