Multiscale Cancer Modeling (eBook, PDF)

Redaktion: Deisboeck, Thomas S.; Stamatakos, Georgios

• Format: PDF

Produktbeschreibung

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 dat

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 484
• Erscheinungstermin: 8. Dezember 2010
• Englisch
• ISBN-13: 9781439814420
• Artikelnr.: 38304072

Autorenporträt

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.

Inhaltsangabe

Evolution, Regulation and Disruption of Homeostasis and Its Role in
Carcinogenesis. Cancer Cell: Linking Oncogenic Signaling to Molecular
Structure. Has Cancer Sculpted the Genome? Modeling Linkage and the Role of
Tetraploidy in Neoplastic Progression. Catastrophes and Complex Networks in
Genomically Unstable Tumorigenesis. A Stochastic Multiscale Model Framework
for Intestinal Stem Cell Homeostasis. Multiscale Modeling of Colonic Crypts
and Early Colorectal Cancer. The Physical Microenvironment in Somatic
Evolution of Cancer. Multiscale Modeling of Cell Motion in
Three-Dimensional Environments. Simulating Cancer Growth with Agent-Based
Models. Diffusional Instability as a Mechanism of Tumor Invasion. Continuum
Models of Mesenchymal Cell Migration and Sprouting Angiogenesis. Do Tumor
Invasion Strategies Follow Basic Physical Laws?. Multiscale Mathematical
Modeling of Vascular Tumor Growth: An Exercise in Transatlantic
Cooperation. A Multiscale Simulation Framework for Modeling Solid Tumor
Growth with an Explicit Vessel Network. Building Stochastic Models for
Cancer Growth and Treatment. Bridging from Multiscale Modeling to Practical
Clinical Applications in the Study of Human Gliomas. Personalization of
Reaction-Diffusion Tumor Growth Models in MR Images: Application to Brain
Gliomas Characterization and Radiotherapy Planning. In Silico Oncology Part
I: Clinically Oriented Cancer Multilevel Modeling Based on Discrete Event
Simulation. In Silico Oncology Part II: Clinical Requirements.