Deisboeck / Stamatakos Multiscale Cancer Modeling

Erscheinungsjahr 2011
ISBN: 978-1-4398-1442-0
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 484 Seiten

Reihe: Chapman & Hall/CRC Mathematical & Computational Biology

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.

Zielgruppe

Researchers and graduate students in applied mathematics, bioinformatics, life sciences, biophysics, biochemistry, and biomedical engineering.

Autoren/Hrsg.

Deisboeck, Thomas S.

Stamatakos, Georgios S.

Stamatakos, Georgios

Fachgebiete

• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Onkologie, Krebsforschung
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme

Inhaltsverzeichnis

Evolution, Regulation and Disruption of Homeostasis and Its Role in Carcinogenesis, A.R.A. Anderson, D. Basanta, P. Gerlee, and K.A. Rejniak

Cancer Cell: Linking Oncogenic Signaling to Molecular Structure, J.E. Purvis, A.J. Shih, Y. Liu, and R. Radhakrishnan

Has Cancer Sculpted the Genome? Modeling Linkage and the Role of Tetraploidy in Neoplastic Progression, C.C. Maley, W. Lewis, and B.J. Reid

Catastrophes and Complex Networks in Genomically Unstable Tumorigenesis, R. Sole

A Stochastic Multiscale Model Framework for Intestinal Stem Cell Homeostasis, L.W. Jean and E.G. Luebeck

Multiscale Modeling of Colonic Crypts and Early Colorectal Cancer, A.G. Fletcher, G.R. Mirams, P.J. Murray, A. Walter, J.-W. Kang, K.-H. Cho, P.K. Maini, and H.M. Byrne

The Physical Microenvironment in Somatic Evolution of Cancer, R.A. Gatenby

Multiscale Modeling of Cell Motion in Three-Dimensional Environments, D. Harjanto and M.H. Zaman

Simulating Cancer Growth with Agent-Based Models, Z. Wang, V. Bordas, J. Sagotsky, and T.S. Deisboeck

Diffusional Instability as a Mechanism of Tumor Invasion, H.B. Frieboes, J. Lowengrub, and V. Cristini

Continuum Models of Mesenchymal Cell Migration and Sprouting Angiogenesis, M. Bergdorf, F. Milde, and P. Koumoutsakos

Do Tumor Invasion Strategies Follow Basic Physical Laws?, C. Guiot, P.P. Delsanto, and A.S. Gliozzi

Multiscale Mathematical Modeling of Vascular Tumor Growth: An Exercise in Transatlantic Cooperation, M.A.J. Chaplain, P. Macklin, S. McDougall, A.R.A. Anderson, V. Cristini, and J. Lowengrub

A Multiscale Simulation Framework for Modeling Solid Tumor Growth with an Explicit Vessel Network, S. Hirsch, B. Lloyd, D. Szczerba, and G. Székely

Building Stochastic Models for Cancer Growth and Treatment, N.L. Komarova

Bridging from Multiscale Modeling to Practical Clinical Applications in the Study of Human Gliomas, G. Chakraborty, R. Sodt, S. Massey, S. Gu, R. Rockne, E.C. Alvord, Jr., and K.R. Swanson

Personalization of Reaction-Diffusion Tumor Growth Models in MR Images: Application to Brain Gliomas Characterization and Radiotherapy Planning, E. Konukoglu, O. Clatz, H. Delingette, and N. Ayache
In Silico Oncology Part I: Clinically Oriented Cancer Multilevel Modeling Based on Discrete Event Simulation, G.S. Stamatakos
In Silico Oncology Part II: Clinical Requirements, N. Graf

Über Autor(innen)

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.