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Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 107)
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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.
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Table of contents (10 papers)
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Bibliographic Information
Book Title: Mathematical Models of Tumor-Immune System Dynamics
Editors: Amina Eladdadi, Peter Kim, Dann Mallet
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-1-4939-1793-8
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4939-1792-1Published: 07 November 2014
Softcover ISBN: 978-1-4939-4717-1Published: 10 September 2016
eBook ISBN: 978-1-4939-1793-8Published: 06 November 2014
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: X, 275
Number of Illustrations: 15 b/w illustrations, 80 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Cancer Research, Dynamical Systems and Ergodic Theory, Mathematical Applications in the Physical Sciences