癌症建模与仿真(Chapman & Hall/Crc Mathematical Biology & Medicine Ser

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Cancer Modelling and Simulation (Chapman & Hall/Crc Mathematical Biology & Medicine Series)

Publisher: CRC
Number Of Pages: 456
Publication Date: 2003-06-18
Sales Rank: 983375
ISBN / ASIN: 1584883618
EAN: 9781584883616
Binding: Hardcover
Manufacturer: CRC
Studio: CRC
Average Rating: 5




Tumour evolution is a complex process involving many different phenomena. Mathematical modelling and computer simulations can help us understand these phenomena, but their development requires a multidisciplinary background-one that includes an understanding of the biological phenomena involved and knowledge of the mathematical techniques used to obtain both qualitative and quantitative results. Cancer Modelling and Simulation builds the requisite biological foundation and presents the mathematical models and methods most useful for understanding the dynamics of tumour development and growth. In chapters contributed by an interdisciplinary team of leading researchers, this book addresses the entire modelling process, from phenomenological observation to simulation and validation, through the development of mathematical models and their qualitative and quantitative study. This treatment effectively links the analytical, mathematical, and biological aspects of tumour growth modelling to provide researchers from multiple disciplines with the common language and practical knowledge they need to break down the barriers that can hamper interdisciplinary research. Cancer Modelling and Simulation is an important contribution to the field that undoubtedly will stimulate and remain a valuable reference for continued research for many years.


Review:

Excellent survey of the field

This survey text does a great job of getting across the current research and future directions of mathematical modeling of cancer. A range of models across different scales (sub-cellular, cellular, tissue) and aspects (avascular tumor growth, angiogenesis, metastasis, immune/cancer interaction) of cancer dynamics. Also of great value are the explanations of the biology aimed at an applied mathematics audience. A must read for anyone interested in the field.

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