Selected Topics in Cancer Modeling

, by ; ;
Selected Topics in Cancer Modeling by Bellomo, Nicola; Chaplain, Mark; De Angelis, Elena, 9780817647124
Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
  • ISBN: 9780817647124 | 0817647120
  • Cover: Hardcover
  • Copyright: 8/1/2008

  • Rent

    (Recommended)

    $122.56
     
    Term
    Due
    Price
    *This item is part of an exclusive publisher rental program and requires an additional convenience fee. This fee will be reflected in the shopping cart.
  • Buy Used

    Usually Ships in 2-4 Business Days

    $124.94
  • Buy New

    Special Order: 1-2 Weeks

    $167.45
  • eBook

    eTextBook from VitalSource Icon

    Available Instantly

    Online: 180 Days

    Downloadable: 180 Days

    $72.39

A major challenge in the modeling and simulation of tumor growth is the mathematical description of living matter, which is far more complex than a mathematical description of inert matter. One critical piece of this challenge is creating multiscale models that take into account subcellular, cellular, and macroscopic levels of cancer. The complexity of these different levels requires the development of new mathematical methods and ideas, which are examined in this work.Written by first-rate researchers in the field of mathematical biology, this collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena.Topics covered include:* Genetic and epigenetic pathways to colon cancer* A game theoretical perspective on the somatic evolution of cancer* Nonlinear modeling and simulation of tumor growth* Tumor cords and their response to anticancer agents* Modeling diffusely invading brain tumors* Multiphase models of tumor growth* Mathematical modeling of breast carcinogenesis* Predictive models in tumor immunology* Multiscale modeling of solid tumor growthSelected Topics in Cancer Modeling is an excellent reference for researchers, practitioners, and graduate students in applied mathematics, mathematical biology, and related fields. The book has an overall aim of quantitative, predictive mathematical modeling of solid tumor growth at all scales, from genetics all the way through to treatment therapy for patients.
Loading Icon

Please wait while the item is added to your bag...
Continue Shopping Button
Checkout Button
Loading Icon
Continue Shopping Button