Modeling and Simulation in Science, Engineering and Technology

Targeted Cancer Treatment in Silico

Small Molecule Inhibitors and Oncolytic Viruses

Authors: Komarova, Natalia L., Wodarz, Dominik

  • 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
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eBook $54.99
price for USA (gross)
  • ISBN 978-1-4614-8301-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $69.99
price for USA
  • ISBN 978-1-4614-8300-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $69.99
price for USA
  • ISBN 978-1-4939-4249-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
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  • can be used across all devices
About this Textbook

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)

Table of contents (15 chapters)

  • Background and Scope of the Book

    Komarova, Natalia L. (et al.)

    Pages 1-7

  • An Introduction to Small Molecule Inhibitors and Chronic Myeloid Leukemia

    Komarova, Natalia L. (et al.)

    Pages 11-17

  • Basic Dynamics of Chronic Myeloid Leukemia During Imatinib Treatment

    Komarova, Natalia L. (et al.)

    Pages 19-33

  • Stochastic Modeling of Cellular Growth, Treatment, and Resistance Generation

    Komarova, Natalia L. (et al.)

    Pages 35-58

  • Evolutionary Dynamics of Drug Resistant Mutants in Targeted Treatment of CML

    Komarova, Natalia L. (et al.)

    Pages 59-72

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-1-4614-8301-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $69.99
price for USA
  • ISBN 978-1-4614-8300-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $69.99
price for USA
  • ISBN 978-1-4939-4249-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Targeted Cancer Treatment in Silico
Book Subtitle
Small Molecule Inhibitors and Oncolytic Viruses
Authors
Series Title
Modeling and Simulation in Science, Engineering and Technology
Copyright
2014
Publisher
Birkhäuser Basel
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-8301-4
DOI
10.1007/978-1-4614-8301-4
Hardcover ISBN
978-1-4614-8300-7
Softcover ISBN
978-1-4939-4249-7
Series ISSN
2164-3679
Edition Number
1
Number of Pages
XV, 227
Number of Illustrations and Tables
45 b/w illustrations, 26 illustrations in colour
Topics