Digital Twins Meet the HPC Continuum: Distributed Systems Challenges for Scalable and Privacy-Aware In-Silico Medicine
Presenter
DescriptionThe convergence of AI and computational modeling is redefining scientific workflows, moving from centralized HPC platforms toward a distributed, heterogeneous computing continuum. In healthcare, this evolution is exemplified by medical digital twins, which integrate multimodal patient data, simulation models, and AI-driven prediction pipelines. This talk explores the system-level challenges of deploying such digital twin systems at scale. We revisit the notion of HPC as a continuum extending from edge sensing to exascale infrastructures and discuss its implications for data locality, latency, energy, and privacy. We also examine how federated computing, edge–cloud orchestration, and HPC infrastructures must be combined to support real-world clinical use cases.
TimeMonday, June 2913:30 – 14:30 CEST
LocationBldg. 8 – Room B 101
Session Chairs
Event Type
Minisymposium
