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Apr 2018 → Dec 2021 Project

Data Protection in Personalized Health

Partner: CHUV, ETH
Partner contact: Prof. Jacques Fellay (EPFL/CHUV), Prof. Effy Vayena (ETH)
EPFL laboratory: Laboratory for Data Security (LDS)
EPFL contact: Prof. Jean-Pierre Hubaux

P4 (Predictive, Preventive, Personalized and Participatory) medicine is called to revolutionize healthcare by providing better diagnoses and targeted preventive and therapeutic measures. In order to enable effective P4 medicine, DPPH defines an optimal balance between usability, scalability and data protection, and develops required computing tools. The target result of the project will be a platform composed of software packages that seamlessly enable clinical and genomic data sharing and exploitation across a federation of medical institutions across Switzerland. The platform is scalable, secure, responsible and privacy-conscious. It can seamlessly integrate widespread cohort exploration tools (e.g., i2b2 and TranSMART).

TopicsPrivacy Protection & CryptographyMachine LearningHealth