Privacy preserving data and knowledge fusion in personalized biomedicine KU Leuven
Dynamical Systems, Signal Processing and Data Analytics (STADIUS), Budapesti Mûszaki és Gasdasagtudomanyi
In our research we will investigate privacy preserving data and knowledge fusion methods in personalized medicine, and specifically privacy preservation at both levels: at the level of a single data set containing potentially sensitive, personal samples and in a multi-centric context with distributed, privately owned data sets.