Project-team

PREMEDICAL

Precision Medicine by Data Integration and Causal Learning
Precision Medicine by Data Integration and Causal Learning

The objective of the PreMeDICaL team (Precision Medicine by Data Integration and Causal Learning) is to develop the next generation of methods/algorithms to extract knowledge from health data and improve patients care. More specifically,  we develop learning tools for personalized treatment effect prediction and for predicting outcome, while integrating different data sources to guide decisions made by clinicians and authorities. The aim is to push methodological innovation up to the stakeholders (patients, clinicians, regulators, etc.).

Premedical is a joint team between Inria and Inserm (Institut Desbrest d’Épidémiologie et de Santé Publique, Idesp, UA11, Unité Mixte de Recherche INSERM – Université de Montpellier) located in Montpellier and gathers different profiles: statisticians, biostatisticians, machine learners and clinicians therefore providing a unique opportunity for trans-disciplinary research and collaboration.PreMeDICaL team contributes to bridging the gap between fundamental research and its effective usage by transfering its work through software development. Beyond methodological developments, innovative responses to the public health challenge first
posed by respiratory allergies are targeted.



Centre(s) inria
Inria Centre at Université Côte d'Azur
In partnership with
INSERM,Université Paul-Valéry Montpellier 3,Université de Montpellier

Contacts

Team leader

Claire-Marine Parodi

Team assistant