Biomedical Modelling and Simulation

The increasing sophistication of data analysis is now combining with technical advances in computer hardware and software to allow for a substantially faster output of work than was previously possible. In parallel, the mathematical modelling techniques have grown rapidly in sophistication and predictive value. These techniques include areas of mathematics which have recently become prominent, such as dynamical systems and fractals, as well as older areas, such as partial differential equations and statistics. The recent advances in all these disciplines (biological/medical and mathematical/computer scientific) are best exploited by frequent communication across discipline boundaries.
This book brings together work from an interdisciplinary group of quantitatively-oriented scientists to facilitate the exchange of information and ideas on (1) recent methodological advances in mathematics and computer science that have the potential for contributing to the solution of a variety of biomedical problems, (2) current applications in selected areas of biomedical research, and (3) identification of those areas in which the needs for mathematical/computer scientific treatment will be greatest in the coming years. This collection of articles should convey to the biomedical community a sense of the areas in which mathematics and computer science approaches can be usefully applied, and it is hoped that this series will expose the mathematical community to some of the most important quantitative questions in the fields of biology and medicine.