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This appointment signals a strategic shift toward multimodal health foundation models that integrate diverse clinical data sources into unified patient trajectories rather than isolated predictions. The research agenda prioritizes critical challenges in balancing data privacy with model performance while actively investigating bias mitigation across Nordic-Baltic collaborations.
FIMM-EMBL’s Tuomo Hartonen to Lead Health AI Research

Tuomo Hartonen joins FIMM-EMBL as a Group Leader, focusing AI research on population health and large-scale data.
Tuomo Hartonen, who once simulated the decay of Higgs bosons at CERN, will lead health AI research as a new FIMM-EMBL Group Leader starting September 1. Hartonen’s appointment follows a competitive international search and comes after he received the Academy Research Fellowship from the Research Council of Finland in June 2025, validating his interdisciplinary approach. He uniquely combines master’s degrees in theoretical physics and translational medicine to develop multimodal…
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