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Accelerating aneurysm risk assessment with rapid blood flow simulation

Accelerating aneurysm risk assessment with rapid blood flow simulation

Accelerating aneurysm risk assessment with rapid blood flow simulation

Hewlett Packard Enterprise

Pages

4 Pages

University of Zagreb researchers are transforming aneurysm diagnostics by combining deep learning with HPE-powered supercomputing. Their approach reduces blood flow simulation times from days to minutes—or even seconds—enabling doctors to make faster, more accurate treatment decisions. Leveraging HR-ZOO infrastructure with HPE Cray, Apollo, ProLiant systems, and NVIDIA GPUs, the team precomputes PDE scenarios for real-time medical insights. This innovation enhances patient care and has broader potential for other precision-driven fields like manufacturing and automotive design. The project demonstrates how AI can drive critical advancements across sectors.

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