HEKA (Project Team)

Health data- and model- driven Knowledge Acquisition

Collaboration type

Research structure

Main objectives

HeKA is a joint research project-team of Inria, Inserm and the University of Paris. HeKA depends on the Cordeliers Research Center and the Inria Center in Paris.

HeKA is composed of researchers, hospital-universities and teacher-researchers from Inria, Inserm, the University of Paris and AP-HP, associated with services of the Georges Pompidou European Hospital, the Necker Hospital and the Imagine Institute.

The research themes of the team are medical informatics, biostatistics and applied mathematics for clinical decision support.

The shared objective of the team is the development of methods, models and tools for a learning health system. This paradigm, which we are developing in particular for rare diseases in the C'IL-LICO RHU, takes advantage of the data generated during care to learn new knowledge, which in turn is used to guide clinical practice, on an ongoing basis. To achieve this goal, HeKA focuses on 3 closely related research areas:
(1) knowledge extraction from health data and in particular deep phenotyping ;
(2) stochastic and supervised approaches for decision support
(3) future clinical trials and their design, which allow the evaluation of medical decision support systems.


Inria, Inserm, Université de Paris, AP-HP, Institut Imagine

Useful links


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Names of partners involved
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