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Mathematical biology From Wikipedia, the free encyclopedia Jump to: navigation search It has been suggested that Computational biomodeling be merged into this article or section. ( Discuss Mathematical biology biological mathematical modeling or biomathematics is an interdisciplinary field of academic study which aims at modeling natural, biological processes using applied mathematical techniques and tools. It has both practical and theoretical applications in biological research: In cell biology protein interactions are typically expressed as a “cartoon” models, which, although easy to visualize, do not fully describe the systems studied: to do this mathematical models are required, which, by describing the systems in a quantitative manner, can better simulate their behavior and hence predict unseen properties. Contents Importance Areas of research Population dynamics Modelling cell and molecular biology ... edit Importance Applying mathematics to biology has a long history, but only recently has there been an explosion of interest in the field. Some reasons for this include: the explosion of data-rich information sets, due to the

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Mathematical biology From Scholarpedia Frank Hoppensteadt (2007), Scholarpedia, 2(6):2877. revision #13695 [ link to/cite this article Curator: Frank Hoppensteadt, Courant Institute of Mathematical Sciences, NYU, New York, NY Mathematicians and biologists, including medical scientists, have a long history of working successfully together. Sophisticated mathematical results have been used in and have emerged from the life sciences. Examples are given by the development of stochastic processes and statistical methods to solve a variety of population problems in demography, ecology, genetics and epidemics , and most joint work between biologists, physicists, chemists and engineers involves synthesis and analysis of mathematical structures. Pythagoras, Aristotle, Fibonacci, Cardano, Bernoulli, Euler, Fourier, Laplace, Gauss, von Helmholtz, Riemann, Einstein, Thompson, Turing, Wiener, von Neumann, Thom, and Keller are names associated with both significant applications of mathematics to life science problems and significant developments in mathematics motivated by the life sciences. Contents Highly Interdisciplinary Significant Mathematical Problems Important Problems in Biology Ordinary Language Models and Mathematical Models ... edit Highly Interdisciplinary edit Significant Mathematical Problems There are significant problems that need the attention of mathematicians in almost all areas of life and medical sciences. While these are not necessarily the classical problems of mathematics, they can involve novel mathematical structures and interesting insights to known ones. For example, Rene Thom developed and used topology and

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