Cancer Modelling and Simulation
Book information
Description
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.
Similar books
Mathematical Models and Computer Simulations for Biomedical Applications
2023 · PDF
Meccanica dei Continui
2019 · PDF
Mathematical Models and Methods for Living Systems: Levico Terme, Italy 2014
2016 · PDF
Mechanics and Dynamical Systems with Mathematica ®
2000 · PDF
Cell Mechanics: From Single Scale-Based Models to Multiscale Modeling (Chapman & Hall CRC Mathematical & Computational Biology)
2010 · PDF
Modeling of Biological Materials (Modeling and Simulation in Science, Engineering and Technology)
2007 · PDF
Cancer Modelling and Simulation (Chapman & Hall CRC Mathematical & Computational Biology)
2003 · PDF
Cancer Modelling and Simulation
2003 · RAR