Multiscale Cancer Modeling

Thomas S Deisboeck

ISBN 10: 1032919248 / ISBN 13: 9781032919249

Published by CRC Press Okt 2024, 2024

About this Item

Neuware - With contributions from some of the top in silico modeling groups in the United States and Europe, Multiscale Cancer Modeling discusses the scientific and technical expertise necessary to conduct innovative cancer modeling research across scales. It presents modeling methods and results at the forefront of cancer simula.

Seller Inventory # 9781032919249

Bibliographic Details

• Title: Multiscale Cancer Modeling
• Publisher: CRC Press Okt 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 1032919248
• ISBN 13: 9781032919249
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 0D millimeters 234 millimeters width by 156 millimeters height by 0 millimeters depth
• Weight: 825 grams

About this title

Synopsis

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.

About the Author

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.