Multiscale Cancer Modeling
By: Deisboeck, Thomas S. (Massachusetts General Hospital) (Author), Stamatakos, Georgio S. (Author).
Taylor & Francis Ltd. Published: 15/03/2010. Audience Guide: Postgraduate, Research & Scholarly.
Hardback. Sourced from U.S.A.
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. This book introduces multiscale cancer modeling. Item Details
ISBN10/13: 1439814406/9781439814406
TITLE: Multiscale Cancer Modeling
CONTRIBUTORS: Deisboeck, Thomas S. (Massachusetts General Hospital) (Author), Stamatakos, Georgio S. (Author)
IMPRINT: CRC Press Inc
PUBLISHER: Taylor & Francis Ltd
FORMAT: Hardback
PUBLICATION DATE: 15/03/2010
SUBJECT: Computers/Internet, Scientific, Technical, Medical, General Theory Of Computing, Clinical & Internal
PAGES: 256
AUDIENCE GUIDE: Postgraduate, Research & Scholarly
ILLUSTRATIONS: 150 black & white illustrations, 24 colour tables
CONTENTS: Complex events and emergence in cancer systems. Multiscale modeling of functional and dysfunctional intracellular modules of oncogeneic relevance. Temporal and spatial scales of premalignant clones in cancer. Genetic instability in cancer: thresholds and catastrophes. Ab initio computational modeling of tumor spheroids. Do tumor invasion strategies follow basic physical laws?. Multiscale simulation of tumor cell adhesion: at the interface of statistical mechanics and cell biology. The role of the gycolytic phenotype in tumor biology: from mathematical models to therapy. Modeling somatic evolution and aspects of vascular tumor growth. In silico modeling of solid tumor growth and vascularization. Multiscale modeling of colorectal cancer and vascular tumor. Multiscale mathematical modeling of vascular tumor growth. The evolution of metastasis. Mathematical approaches to modeling immune-cancer dynamics. Building tumor models using GGH modeling and CompuCe1l3D. Multiscale agent-based cancer modeling. Computational modeling identifies morphologic predictors of tumor invasion. Predictive multiscale modeling of glioma growth and invasion in individual patients. Clinically oriented cancer multilevel modeling based on discrete event simulation.
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