Skip to content
Register Sign in Wishlist

Multiscale Modeling of Cancer
An Integrated Experimental and Mathematical Modeling Approach

AUD$209.95 inc GST

  • Date Published: September 2010
  • availability: Available
  • format: Hardback
  • isbn: 9780521884426

AUD$ 209.95 inc GST

Add to cart Add to wishlist

Other available formats:

Looking for an inspection copy?

Please email to enquire about an inspection copy of this book

Product filter button
About the Authors
  • Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.

    • Provides a uniquely multidisciplinary approach to cancer research by combining state-of-the-art mathematical models with experimental data
    • Includes case studies of brain and breast cancer to aid understanding and illustrate the potential of computational techniques in cancer research
    • Helps researchers identify new directions of research in oncology
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity


    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?


    Product details

    • Date Published: September 2010
    • format: Hardback
    • isbn: 9780521884426
    • length: 298 pages
    • dimensions: 254 x 180 x 11 mm
    • weight: 0.75kg
    • contains: 55 b/w illus. 5 tables
    • availability: Available
  • Table of Contents

    Part I. Theory:
    1. Introduction
    2. Biological background
    3. Continuum tumor modeling: single phase
    4. Analysis and calibration of single-phase continuum tumor models
    5. Continuum tumor modeling: multiphase
    6. Discrete cell modeling
    7. Hybrid continuum-discrete models
    8. Numerical schemes
    Part II. Applications:
    9. Continuum tumor modeling: a multidisciplinary approach
    10. Agent-based cell modeling: application to breast cancer.

  • Resources for

    Multiscale Modeling of Cancer

    Vittorio Cristini, John Lowengrub

    General Resources

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.

    Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

    Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.

    If you are having problems accessing these resources please contact

  • Authors

    Vittorio Cristini, University of Texas Health Science Center, Houston
    Vittorio Cristini is Professor of Health Information Sciences and Biomedical Engineering at the University of Texas, and of Systems Biology at the M. D. Anderson Cancer Center, Houston. He is also Honorary Professor of Mathematics at the University of Dundee, Scotland. Professor Cristini is a leading researcher in the fields of mathematical and computational biology, complex fluids, materials science and mathematical oncology. He has published several chapters in books and over 60 journal articles.

    John Lowengrub, University of California, Irvine
    John Lowengrub is a Professor of Mathematics, Materials Science, and Biomedical and Chemical Engineering at the University of California, Irvine. He has published over 80 journal articles along with several book chapters. Professor Lowengrub is a leading researcher in the fields of mathematical and computational biology, mathematical oncology, complex fluids, and materials science. His research has been supported by various institutions including the National Science Foundation, the National Institutes of Health, and the State of California.

Sign In

Please sign in to access your account


Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner Please see the permission section of the catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.


Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

Please fill in the required fields in your feedback submission.