
- 484 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Multiscale Cancer Modeling
About this book
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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Yes, you can access Multiscale Cancer Modeling by Thomas S. Deisboeck,Georgios Stamatakos in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Table of Contents
- Preface
- Acknowledgments
- About the Editors
- Contributors
- Chapter 1: Evolution, Regulation, and Disruption of Homeostasis and Its Role in Carcinogenesis
- Chapter 2: Cancer Cell : Linking Oncogenic Signaling to Molecular Structure
- Chapter 3: Has Cancer Sculpted the Genome? Modeling Linkage and the Role of Tetraploidy in Neoplastic Progression
- Chapter 4: Catastrophes and Complex Networks in Genomically Unstable Tumorigenesis
- Chapter 5: A Stochastic Multiscale Model Framework for Colonic Stem Cell Homeostasis
- Chapter 6: Multiscale Modeling of Colonic Crypts and Early Colorectal Cancer
- Chapter 7: The Physical Microenvironment in Somatic Evolution of Cancer
- Chapter 8: Multiscale Modeling of Cell Motion in Three-Dimensional Environments
- Chapter 9: Simulating Cancer Growth with Agent-Based Models
- Chapter 10: Diffusional Instability as a Mechanism of Tumor Invasion
- Chapter 11: Continuum Models of Mesenchymal Cell Migration and Sprouting Angiogenesis
- Chapter 12: Do Tumor Invasion Strategies Follow Basic Physical Laws?
- Chapter 13: Multiscale Mathematical Modeling of Vascular Tumor Growth : An Exercise in Transatlantic Cooperation
- Chapter 14: A Multiscale Simulation Framework for Modeling Solid Tumor Growth with an Explicit Vessel Network
- Chapter 15: Building Stochastic Models for Cancer Growth and Treatment
- Chapter 16: Bridging from Multiscale Modeling to Practical Clinical Applications in the Study of Human Gliomas
- Chapter 17: Personalization of Reaction-Diffusion Tumor Growth Models in MR Images : Application to Brain Gliomas Characterization and Radiotherapy Planning
- Chapter 18: In Silico Oncology : Part IāClinically Oriented Cancer Multilevel Modeling Based on Discrete Event Simulation
- Chapter 19: In Silico Oncology : Part IIāClinical Requirements Regarding In Silico Oncology
- Abbreviations
- Back Cover