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DTSTAMP:20260421T090514Z
LOCATION:Bldg. 8 - Room B 101
DTSTART;TZID=Europe/Stockholm:20260629T133000
DTEND;TZID=Europe/Stockholm:20260629T143000
UID:submissions.pasc-conference.org_PASC26_sess110_msa234@linklings.com
SUMMARY:Digital Twins Meet the HPC Continuum: Distributed Systems Challeng
 es for Scalable and Privacy-Aware In-Silico Medicine
DESCRIPTION:Frédéric Le Mouël (University of Lyon, INSA Lyon; CITI Laborat
 ory)\n\nThe convergence of AI and computational modeling is redefining sci
 entific workflows, moving from centralized HPC platforms toward a distribu
 ted, heterogeneous computing continuum. In healthcare, this evolution is e
 xemplified by medical digital twins, which integrate multimodal patient da
 ta, simulation models, and AI-driven prediction pipelines. This talk explo
 res the system-level challenges of deploying such digital twin systems at 
 scale. We revisit the notion of HPC as a continuum extending from edge sen
 sing to exascale infrastructures and discuss its implications for data loc
 ality, latency, energy, and privacy. We also examine how federated computi
 ng, edge–cloud orchestration, and HPC infrastructures must be combined to 
 support real-world clinical use cases.\n\nDomain: Engineering, Life Scienc
 es, Computational Methods and Applied Mathematics\n\nSession Chairs: John 
 Anderson Garcia Henao (University of Bern, ARTORG Center for Biomedical En
 gineering Research) and Carlos Barrios Hernandez (Universidad Industrial d
 e Santander, LIG/INRIA - CITI Laboratory)\n\n
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