Beyond the Snapshot: A Duke Researcher Is Using Blood Flow Simulations to Transform Heart Disease Diagnosis
Working at the intersection of supercomputing, fluid dynamics, and clinical cardiology, Center Director Amanda Randles and her lab have developed a platform called HARVEY, a massively parallel blood flow solver that simulates 3D blood flow through patient-specific arterial geometries and powers algorithms including the Adaptive Physics Refinement (APR) algorithm, which couples subcellular-scale modeling to organ-level blood flow, and the Longitudinal Hemodynamic Mapping (LHM) algorithm, which enables simulations spanning millions of heartbeats.