Overview
- Provides an original look at the application of mathematical tools to specific questions in oncology
- Written by two leading experts in the field, with unique credentials in cancer modeling
- A valuable resource for a diverse range of students, applied mathematicians, and researchers in cancer treatment
- Largely accessible to scientists without a strong background in mathematics
- Periodic exercises and simulations are appealing for textbook use
Part of the book series: Modeling and Simulation in Science, Engineering and Technology (MSSET)
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Table of contents (15 chapters)
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Front Matter
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Treatment of cancer with small molecule inhibitors
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Front Matter
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Treatment of cancer with oncolytic viruses
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Front Matter
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Back Matter
Keywords
About this book
Countless medical researchers over the past century have been occupied by the search for a cure of cancer. So far, they have developed and implemented a wide range of treatment techniques, including surgery, chemo- and radiotherapy, antiangiogenic drugs, small molecule inhibitors, and oncolytic viruses. However, patterns of these treatments' effectiveness remain largely unclear, and a better understanding of how cancer therapies work has become a key research goal. Cancer Treatment in Silico provides the first in-depth study of approaching this understanding by modeling cancer treatments, both mathematically and through computer simulations.
The main goal of this book is to help expose students and researchers to in silico methods of studying cancer. It is intended for both the applied mathematics and experimental oncology communities, as mathematical models are playing an increasingly important role to supplement laboratory biology in the fight against cancer. Written at a level that generally requires little technical background, the work will be a valuable resource for scientists and students alike.
Reviews
From the reviews:
“The intended audience includes advanced undergraduate and graduate students in applied mathematics as well as in the field of biology with a special interest in oncology. It could serve as a guide to scientists and researchers in the field of oncology and therapeutics. … This is the first in-depth study of mathematical and computational approaches used to understand cancer therapies. The crisp language, well-structured chapters, and precise examples are the highlights of this book.” (Parthiv Amin, Doody’s Book Reviews, March, 2014)Authors and Affiliations
Bibliographic Information
Book Title: Targeted Cancer Treatment in Silico
Book Subtitle: Small Molecule Inhibitors and Oncolytic Viruses
Authors: Natalia L. Komarova, Dominik Wodarz
Series Title: Modeling and Simulation in Science, Engineering and Technology
DOI: https://doi.org/10.1007/978-1-4614-8301-4
Publisher: Birkhäuser New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4614-8300-7Published: 15 November 2013
Softcover ISBN: 978-1-4939-4249-7Published: 23 August 2016
eBook ISBN: 978-1-4614-8301-4Published: 19 November 2013
Series ISSN: 2164-3679
Series E-ISSN: 2164-3725
Edition Number: 1
Number of Pages: XV, 227
Number of Illustrations: 45 b/w illustrations, 26 illustrations in colour
Topics: Physiological, Cellular and Medical Topics, Cancer Research, Mathematical and Computational Biology, Oncology, Genetics and Population Dynamics, Applications of Mathematics