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Sharing physiological models

P.M.F. Nielsen, Auckland Bioengineering Institute, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Physiological systems are inherently complex, involving the dynamic interaction of many entities over a wide range of spatial and temporal scales. Reliably forecasting the behavior of such systems is difficult for all but the simplest processes. When a system is comprised of multiple interacting processes, one must use mathematical modeling to make quantitative predictions of behavior. The development of such multi-scale modelling frameworks to represent our knowledge of physiological systems is one of the primary aims of the IUPS Physiome Project (see These frameworks require standards and tools for representing, sharing, combining, and solving models. Much progress has been made over the past decade to fulfill these requirements:

The above languages, tools, and repositories are significant contributions to the the Physiome Project, providing the scientific community with the means to integrate quantitative knowledge of physiological systems within a consistent, flexible, freely available, framework.