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Cancer Modelling and Simulation

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Edited by Luigi Preziosi

Series Editor: Louis J. Gross, Suzanne Lenhart, Philip K. Maini, Alison M. Etheridge, Eberhard O. Voit, Hershel Safer

Contributors: Rakesh K. Jain, Nicola Bellomo, M A Herrero, B.D. Sleeman, Federico Bussolino, Sophie A. Lelievre, Davide Ambrosi, Paolo Netti, Helen Byrne, Levon Arakelyan, Vladimir Vainstain, Zvia Agur, Anne Leyrat, Alain Duperray, Claude Verdier, R. Chotard-Ghodsnia, A. Drochon, Alexander Anderson, M. A. J. Chaplain, Cedric Plachot, H. A. Levine, Maria Letizia Bertotti, Santo Motta, Filippo Castiglione, Francesco Mollica, Yuval Ginosar, Peteris Daugulis, Hila Harpak, Yifat Merbl, Vera Selitser, Y Kogan, Marco Arese, Enrica Audero, Enrico Giraudo, Serena Marchio, Stefania Mitola, Luca Primo, Guido Serini

Published June 18th 2003 by CRC Press – 456 pages

Series: Chapman & Hall/CRC Mathematical & Computational Biology

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Description

Understanding how cancer tumours develop and spread is vital for finding treatments and cures. Cancer Modelling and Simulation demonstrates how mathematical modelling and computer simulation techniques are used to discover and gain insight into the dynamics of tumour development and growth. It highlights the benefits of tumour modelling, such as discovering optimal tumour therapy schedules, identifying the most promising candidates for further clinical investigation, and reducing the number of animal experiments. By examining the analytical, mathematical, and biological aspects of tumour growth and modelling, the book provides a common language and knowledge for professionals in several disciplines.

Reviews

"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."

– In Anticancer Research, September-October 2007, Vol. 27, No. 5A

Contents

Understanding how cancer tumours develop and spread is vital for finding treatments and cures. Cancer Modelling and Simulation demonstrates how mathematical modelling and computer simulation techniques are used to gain insight into the dynamics of tumour development and growth. It highlights the benefits of tumour modelling, such as discovering optimal tumour therapy schedules, identifying the most promising candidates for further clinical investigation, and reducing the number of animal experiments. By examining the analytical, mathematical, and biological aspects of tumour growth and modelling, the book provides a common language and knowledge for professionals in several disciplines.

Name: Cancer Modelling and Simulation (Hardback) – CRC Press 
Description: Edited by Luigi PreziosiSeries Editor: Louis J. Gross, Suzanne Lenhart, Philip K. Maini, Alison M. Etheridge, Eberhard O. Voit, Hershel SaferContributors: Rakesh K. Jain, Nicola Bellomo, M A Herrero, B.D. Sleeman, Federico Bussolino, Sophie A. Lelievre, Davide Ambrosi, Paolo Netti, Helen Byrne, Levon Arakelyan, Vladimir Vainstain, Zvia Agur, Anne Leyrat, Alain Duperray, Claude Verdier, R. Chotard-Ghodsnia, A. Drochon, Alexander Anderson, M. A. J. Chaplain, Cedric Plachot, H. A. Levine, Maria Letizia Bertotti, Santo Motta, Filippo Castiglione, Francesco Mollica, Yuval Ginosar, Peteris Daugulis, Hila Harpak, Yifat Merbl, Vera Selitser, Y Kogan, Marco Arese, Enrica Audero, Enrico Giraudo, Serena Marchio, Stefania Mitola, Luca Primo, Guido Serini. Understanding how cancer tumours develop and spread is vital for finding treatments and cures. Cancer Modelling and Simulation demonstrates how mathematical modelling and computer simulation techniques are used to discover and gain insight into the...
Categories: Mathematical Biology, Mathematical Modeling, Oncology