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Privacy preserving data and knowledge fusion in personalized biomedicine

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.

Date:1 Oct 2017  →  30 Sep 2019
Keywords:personalized biomedicine
Disciplines:Sensors, biosensors and smart sensors, Other electrical and electronic engineering