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Mathematical Methods and Models in Biomedicine (Paperback, 2013 ed.)
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Mathematical Methods and Models in Biomedicine (Paperback, 2013 ed.)
Series: Lecture Notes on Mathematical Modelling in the Life Sciences
Expected to ship within 10 - 15 working days
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Mathematical biomedicine is a rapidly developing interdisciplinary
field of research that connects the natural and exact sciences in
an attempt to respond to the modeling and simulation challenges
raised by biology and medicine. There exist a large number of
mathematical methods and procedures that can be brought in to meet
these challenges and this book presents a palette of such tools
ranging from discrete cellular automata to cell population based
models described by ordinary differential equations to nonlinear
partial differential equations representing complex time- and
space-dependent continuous processes. Both stochastic and
deterministic methods are employed to analyze biological phenomena
in various temporal and spatial settings. This book illustrates the
breadth and depth of research opportunities that exist in the
general field of mathematical biomedicine by highlighting some of
the fascinating interactions that continue to develop between the
mathematical and biomedical sciences. It consists of five parts
that can be read independently, but are arranged to give the reader
a broader picture of specific research topics and the mathematical
tools that are being applied in its modeling and analysis. The main
areas covered include immune system modeling, blood vessel
dynamics, cancer modeling and treatment, and epidemiology. The
chapters address topics that are at the forefront of current
biomedical research such as cancer stem cells, immunodominance and
viral epitopes, aggressive forms of brain cancer, or gene therapy.
The presentations highlight how mathematical modeling can enhance
biomedical understanding and will be of interest to both the
mathematical and the biomedical communities including researchers
already working in the field as well as those who might consider
entering it. Much of the material is presented in a way that gives
graduate students and young researchers a starting point for their
own work.
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