Systems Mechanobiology Modeling

This research area investigates the mechanical forces that influence cellular and tissue behavior. Researchers develop computational models to understand how physical cues, such as stiffness and tension, impact cell function, differentiation, and disease progression. Specific applications include simulating the mechanics of cardiac fibroblasts to predict fibrosis development, aiding in drug discovery by screening for cardiotoxicity, and informing orthopedic surgery and rehabilitation strategies. The work employs advanced computational techniques and data analysis to unravel complex biological processes at the cellular and tissue levels.

The insights gained from systems mechanobiology modeling have direct relevance to Arkansas. Understanding tissue mechanics is crucial for addressing health challenges prevalent in the state, such as cardiovascular diseases and musculoskeletal conditions. By predicting disease mechanisms and the impact of interventions, this research contributes to improving public health outcomes and potentially reducing healthcare costs. Furthermore, advancements in computational modeling can support the growth of the state's biosciences and health technology sectors.

This interdisciplinary field draws upon expertise from information technology, biomedical engineering, and fundamental biology. Its connections extend to areas like corporate finance and governance through the potential for developing new therapeutic products and technologies. Engagement spans multiple institutions within Arkansas, fostering collaborative environments for advancing this critical area of research.