DS4DH - Data Science for Digital Health
The Data Science for Digital Health (DS4DH) group aims to design and implement novel algorithms and computational methods for the management and analysis of complex and large-scale datasets in the health and life sciences domain in order to foster innovative digital health solutions. The group is particularly interested in developing research around machine learning and natural language processing models that can blend and exploit (semantically) rich and (often) non-Euclidean datasets to create actionable insights.
DS4DH is located at Campus Biotech and works closely with other digital health players, such as SIB, HUG and the SIMED, BiTeM and HI5lab groups. It is also well connected with private actors working at the forefront of innovation in the health and life sciences sectors.