Multiscale Cancer Modeling

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adhesion
agent-based simulation
automaton
Blood Ow
BRCA1
Category=UYD
Cell Cell Adhesion
Cell Matrix Adhesion
Cell Migration
cell-cell
cells
cellular
Cellular Automata
clinical decision support
computational oncology
diusion
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
equation
GBM
growth
Increase GLUT-1 Expression
molecular signaling pathways
Multiscale Models
Mutant Oncoproteins
Non-Small Cell Lung Cancer
NSCLC
personalized cancer model development
reaction
Solid Tumor Growth
stochastic cancer dynamics
T2 Mri
Tetraploid Cells
TGF? Concentrations
Traveling Wave Solution
tumor
Tumor Angiogenic Factors
Tumor Cell Density
Tumor Delineation
Tumor Host Interface
tumor microenvironment modeling
Tumor Suppressor Genes
Upregulated GLUT-1
Vascular Tumor Growth
VEGF Isoforms

Product details

  • ISBN 9781439814406
  • Weight: 1090g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 Dec 2010
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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.