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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