Predictive Multiscale Models of the Physiome in Health and Disease (R01)
Funding Contact(s): Yuan Liu, Ph.D.
Funding Categories: Translational Research
Brief Description:
The goal of this solicitation is to move the field of biomedical computational modeling forward through the development of
more realistic and predictive models of health and disease. NIH recognizes the need for sophisticated, predictive, computational
models of development and disease that encompass multiple biological scales. These models may be designed to uncover biological
mechanisms or to make predictions about clinical outcome and may draw on a variety of data sources including relevant clinical
data. Ultimately the models and the information derived from their use will enable researchers and clinicians to better understand,
prevent, diagnose and treat the diseases or aberrations in normal development. Specifically this FOA solicits the development
of predictive multiscale models of health and disease states that must include higher scales of the physiome (see definitions
below). The specific objectives are to develop multiscale models that are physiologically mechanistic and biomedically relevant,
to bring together modeling and biomedical expertise to collaborate on building models, to validate and test models with standard
datasets, and to develop models that can be explicitly shared with other modelers.