DPPH – Data Protection in Personalized Health (SFA-PHRT)


  • Jean-Pierre Hubaux (EPFL)
  • Bryan Alexander Ford (EPFL)
  • Dimitar Jetchev (EPFL)
  • Jacques Felly (EPFL)
  • Effy Vayena (ETH Zürich)
  • Olivier Verscheure (SDSC)

P4 (Predictive, Preventive, Personalized and Participatory) medicine is called to revolutionize healthcare by providing better diagnoses and targeted preventive and therapeutic measures. However, to accelerate its adoption and maximize its potential, clinical and research data on large numbers of individuals must be efficiently shared between all stakeholders. The privacy risks stemming from disclosing medical data raise serious concerns, and have become a barrier that can hold back the advances in P4 medicine if effective privacy preserving technologies are not adopted to enable privacy-conscious medical data sharing. Pairing privacy-conscious data sharing with recent advances in the field of *omics and, in particular, in high-throughput sequencing technology, leads to an explosive growth in the amounts of available data; this big data scale can usually not be handled with current hospital computing facilities, hence the need for elastic computing resources that can cope with huge amounts of data in a secure and privacy-aware infrastructure, supporting data processing and sharing.