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

Posted on 2010-03-15




Name:Science/Engineering Cancer Modelling and Simulation (Chapman & Hall/Crc Mathematical Biology & Medicine Series)
ASIN/ISBN:1584883618
Language:English
File size:5.3 Mb
Publish Date: CRC (June 18, 2003)
ISBN: 1584883618
Pages: 456 pages
File Type: PDF
File Size: 5,3 Mb
   Science/Engineering Cancer Modelling and Simulation (Chapman & Hall/Crc Mathematical Biology & Medicine Series)



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Luigi Preziosi, "Cancer Modelling and Simulation (Chapman & Hall/Crc Mathematical Biology & Medicine Series)"

Cancer Modeling and Simulation provides readers with a current collection of experimental and mathematical approaches aimed at increased understanding of the multi-scale nature of tumor growth and progression. It is an appropriate supplemental text to any advanced mathematical biology course; as well as an ideal text around which to develop a special topics course on cancer modeling. Researchers working at the interface of mathematics and cancer biology have long awaited such a broad and well-orchestrated assemblage of contemporary techniques to study tumorigenesis.

Mathematical Biosciences

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.

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