, Home of the VW Baja Bug  
BizStore » Books » Introduction to Mathematical Oncology (Chapman & Hall/CRC Mathematical and Computational Biology)
United States Canada United Kingdom Germany France Japan

BizStore » Book
Introduction to Mathematical Oncology (Chapman & Hall/CRC Mathematical and Computational Biology)
Introduction to Mathematical Oncology (Chapman & Hall/CRC Mathematical and Computational Biology)

List Price: $96.95
Our Price: $75.84
You Save: $21.11 (22%)
Availability: Usually ships in 24 hours
Manufacturer: Chapman and Hall/CRC
Publisher: Chapman and Hall/CRC
Author(s): Yang Kuang, John D. Nagy, Steffen E. Eikenberry

Buy it now at!
Add To Cart
Product Description:
Binding: Hardcover
EAN: 9781584889908
Edition: 1
ISBN: 158488990X
Item Dimensions: Array
Label: Chapman and Hall/CRC
Languages: Array
Manufacturer: Chapman and Hall/CRC
Number Of Items: 1
Number Of Pages: 488
Publication Date: 2016-02-18
Publisher: Chapman and Hall/CRC
Studio: Chapman and Hall/CRC
Editorial Review:

Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models.

After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practical, and insightful mathematical models of avascular tumor growth and mathematically tractable treatment models based on ordinary differential equations. It continues the topic of avascular tumor growth in the context of partial differential equation models by incorporating the spatial structure and physiological structure, such as cell size. The book then focuses on the recent active multi-scale modeling efforts on prostate cancer growth and treatment dynamics. It also examines more mechanistically formulated models, including cell quota-based population growth models, with applications to real tumors and validation using clinical data. The remainder of the text presents abundant additional historical, biological, and medical background materials for advanced and specific treatment modeling efforts.

Extensively classroom-tested in undergraduate and graduate courses, this self-contained book allows instructors to emphasize specific topics relevant to clinical cancer biology and treatment. It can be used in a variety of ways, including a single-semester undergraduate course, a more ambitious graduate course, or a full-year sequence on mathematical oncology.

Buy it now at!
Based on Amazon Store Manager Copyright © 2005 - 2019 Nuke Business Resources
Amazon Store

If you see Errors please E-mail Eric (AT) X XX XXX Webutation

eXTReMe Tracker
The logos and trademarks used on this site are the property of their respective owners
We are not responsible for comments posted by our users, as they are the property of the poster. Any use, commercial or educational, requires written permission from the author.
Interactive software released under GNU GPL, Code Credits, Privacy Policy