This National Science Foundation (NSF) Project Grant award under the NSF Engineering program (CFDA 47.041) provides $195,291 to San Diego State University Research Foundation to develop a new computational model to predict the complex interactions of ventricular assist devices (VADs) with the beating native heart. The goal is to create a "digital twin" model of an experimental mock circulatory loop used for testing VAD safety and efficacy. This model will integrate data from clinical studies, experiments, and simulations to enable the FDA to make better-informed regulatory decisions and support the development of safer, more effective VADs tailored to individual patient needs. The project aims to transform heart failure treatment by improving VAD performance and reducing deaths among those waiting for heart transplants. As part of the effort, the project will update a graduate course on medical devices to include the use of computational models in regulatory science and offer an FDA internship for an engineering student.
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