- Leaders: N Sokolovska (MCU UPMC) and 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)
We will develop innovative tools for data analysis, physiological status prediction, and visualisation in metabolic diseases. Convergence of techniques include statistical inferences, machine learning, and mechanistic approach using dynamical systems. This WP is strongly integrated with the other WPs which produce large-scale data.