Abstract
Mathematical models are powerful and heuristic aids for investigating complex systems. Once a model has been developed, it encompasses a large body of knowledge, and it can be used to make predictions about how a system would react under various conditions. This approach applies whether the system being modeled is physical (e.g., an automobile) or biological.
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Wastney, M.E., Pentchev, P.G., Neufeld, E.B. (2003). Fitting a Mathematical Model to Biological Data: Intracellular Trafficking in Niemann-Pick C Disease. In: Novotny, J.A., Green, M.H., Boston, R.C. (eds) Mathematical Modeling in Nutrition and the Health Sciences. Advances in Experimental Medicine and Biology, vol 537. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9019-8_4
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