Amanda Randles on building HPC-powered digital twins for proactive healthcare
"We did what every great HPC team does and threw as many GPUs as we could at it: we used all of Oak Ridge's Summit supercomputer, about 24,000 GPUs, and modelled about 550 million red blood cells." - Amanda Randles
Credit: Duke University
Duke University's Amanda Randles explains how high-performance computing, wearable sensor data and AI are converging to build patient-specific vascular digital twins for earlier disease detection
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