Multiscale modeling of cancer - Info and Reading Options
an integrated experimental and mathematical modeling approach
By Vittorio Cristini
"Multiscale modeling of cancer" was published by Cambridge University Press in 2010 - Cambridge, it has 298 pages and the language of the book is English.
“Multiscale modeling of cancer” Metadata:
- Title: Multiscale modeling of cancer
- Author: Vittorio Cristini
- Language: English
- Number of Pages: 298
- Publisher: Cambridge University Press
- Publish Date: 2010
- Publish Location: Cambridge
“Multiscale modeling of cancer” Subjects and Themes:
- Subjects: ➤ Neoplastic Processes - Cancer - Mathematical models - Biological Models - Multiscale modeling - Research - Biological models
Edition Specifications:
- Pagination: p. ;
Edition Identifiers:
- The Open Library ID: OL24383578M - OL15413834W
- Online Computer Library Center (OCLC) ID: 567165938
- Library of Congress Control Number (LCCN): 2010017932
- ISBN-13: 9780521884426
- All ISBNs: 9780521884426
AI-generated Review of “Multiscale modeling of cancer”:
"Multiscale modeling of cancer" Table Of Contents:
- 1- Machine generated contents note: 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.
"Multiscale modeling of cancer" Description:
The Open Library:
"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"--Provided by publisher.
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