This collection of papers offers a broad synopsis of state-of-the-art mathematical methods used in modeling the interaction between tumors and the immune system. These papers were presented at the four-day workshop on Mathematical Models of Tumor-Immune System Dynamics held in Sydney, Australia from January 7th to January 10th, 2013. The workshop brought together applied mathematicians, biologists, and clinicians actively working in the field of cancer immunology to share their current research and to increase awareness of the innovative mathematical tools that are applicable to the growing field of cancer immunology. Recent progress in cancer immunology and advances in immunotherapy suggest that the immune system plays a fundamental role in host defense against tumors and could be utilized to prevent or cure cancer. Although theoretical and experimental studies of tumor-immune system dynamics have a long history, there are still many unanswered questions about the mechanisms that govern the interaction between the immune system and a growing tumor. The multidimensional nature of these complex interactions requires a cross-disciplinary approach to capture more realistic dynamics of the essential biology. The papers presented in this volume explore these issues and the results will be of interest to graduate students and researchers in a variety of fields within mathematical and biological sciences.
Product Identifiers
Publisher
Springer-Verlag New York Inc.
ISBN-13
9781493947171
eBay Product ID (ePID)
228849034
Product Key Features
Author
Amina Eladdadi, Dann Mallet, Peter Kim
Publication Name
Mathematical Models of Tumor-Immune System Dynamics
Format
Paperback
Language
English
Subject
Medicine, Engineering & Technology, Mathematics
Publication Year
2016
Type
Textbook
Number of Pages
275 Pages
Dimensions
Item Height
235mm
Item Width
155mm
Volume
107
Item Weight
4918g
Additional Product Features
Series Title
Springer Proceedings in Mathematics & Statistics
Country/Region of Manufacture
United States
Editor
Amina Eladdadi, Peter Kim, Dann Mallet
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