- Leaders: Hedi Soula (PU UPMC)
- Team contributors: Flavien Jacques (IE INSERM), All team members (link with experimental and clinical approaches)
- Main collaborators: Edi Prifti (IR ICAN), Yann Chevaleyre (PU P12), Blaise Hanczar (PU Evry), P.-H. Wuillemin (LIP6, Paris 6), international consortia (ePos, Metacardis, Litmus)
- Associate Member: JD Zucker (DR IRD/UPMC)
Our aim is to innovate cutting-edge tools for data analysis, physiological status prediction, and visualisation in metabolic diseases. We will employ a range of techniques, including statistical inferences, machine learning, and mechanistic approaches utilizing dynamical systems. This work package is closely integrated with other work packages that generate large-scale data.