Health data- and model- driven approaches for Knowledge Acquisition
Health data- and model- driven approaches for Knowledge Acquisition

HeKA is a common project-team of Inria, Inserm and Université Paris Cité. HeKA is jointly affiliated with the Centre de Recherche des Cordeliers and Inria Paris, and is located at PariSanté Campus.

HeKA is a multidisciplinary team composed of researchers, clinicians-researchers, teachers-researchers from Inria, Inserm, University Paris Cité and AP-HP, associated with departments of the European Hospital Georges Pompidou, Necker Hospital and the Imagine Institute. Our research themes are biomedical informatics,  biostatistics and applied mathematics for clinical decision support.

The objective of HeKA is to develop methodologies, tools and their applications in clinics towards a learning health system, i.e., a health system that leverages clinical data collected during clinical care to extract novel medical knowledge that, in turn, continuously improves healthcare. We rely on the availability of EHRs (Electronic Health Records), clinical trials, cohorts and other linked data to develop models for stratification and prediction with the potential of improving the precision and the personalization of healthcare.

Centre(s) inria
Inria Paris Centre
In partnership with
INSERM,Université Paris Cité


Team leader

Meriem Guemair

Team assistant

Laurence Bourcier

Team assistant