NIH R01 · 2024
Data-driven optimization of therapy for heart failure
ABSTRACT This collaborative project integrates concepts from engineering, artificial intelligence, computer modeling, physiology, and clinical cardiology to explore new therapeutic strategies for patients who have heart failure. The moonshot goal is a simulation framework that can predict how a patient's heart will grow and remodel during a potential therapeutic intervention. Once the framework has been validated with patient data, it could be deployed to compare the outcomes predicted for different treatments. A clinician could then use the predictions to guide their choice of therapy. This project seeks to advance computational cardiology and move the field closer to a randomized clinical…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.