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Vittorio Cristini - Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach - 9780521884426 - V9780521884426
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Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach

€ 162.21
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Description for Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach hardcover. Uniquely connecting theory with experimental data, this book highlights the potential of advanced computational methods in cancer research. Num Pages: 298 pages, 55 b/w illus. 5 tables. BIC Classification: MJCL; PBWH. Category: (P) Professional & Vocational. Dimension: 254 x 184 x 19. Weight in Grams: 750.
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, ... Read more

Product Details

Format
Hardback
Publication date
2010
Publisher
Cambridge University Press United Kingdom
Number of pages
298
Condition
New
Number of Pages
298
Place of Publication
Cambridge, United Kingdom
ISBN
9780521884426
SKU
V9780521884426
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-12

About Vittorio Cristini
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 ... Read more

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