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Etienne Minvielle
π Health and biotech

Digital twins and prevention: a new era in medicine

Etienne Minvielle, CNRS Research Director and Professor of Health Management at Ecole Polytechnique (IP Paris) , Claire Biot, Vice President, Life Sciences & Healthcare Industry Dassault Systèmes, Stanley Durrleman, Inria Research Director and Head of the Aramis team at ICM

On July 3rd, 2024
4 min reading time
π Health and biotech

Personalised, preventive, predictive, participatory: the 4Ps of tomorrow's medicine

Pierre-Marie Lledo, Research Director at CNRS, Head of Department at Institut Pasteur, and member of the European Academy of Sciences

On June 26th, 2024
10 min reading time

Medicine is evolving, moving from a curative approach to a more preventive practice.

π Science and technology π Health and biotech

Can AI replace animal testing?

Jean-Baptiste Masson, Theoretical Physicist at Institut Pasteur, Jean-Michel Besnier, Professor Emeritus of Philosophy at Sorbonne Université, Nicolas David, Professor of Biology at École Polytechnique (IP Paris)

On June 18th, 2024
4 min reading time

In view of AI's efficiency, the hypothesis is emerging that it can be used to simulate the living world and dispense with animal experimentation.

π Health and biotech

Drugs alone won't be enough to solve the obesity crisis

Martin Whyte, Associate Professor of Metabolic Medicine at University of Surrey

On June 11th, 2024
4 min reading time

Anti-obesity drugs that mimic the intestinal hormone GLP-1 appear to be effective, but will not solve this epidemic.

Jacques Prioux
π Health and biotech

Workload: the subtle harmony between preparation and performance

Jacques Prioux, Professor in Sports Science at ENS Rennes

On May 29th, 2024
3 min reading time
π Health and biotech π Society

“Sport brings as much to science as science brings to sport”

Vincent Nougier, Professor at Grenoble Alpes University and former Head of the CNRS Sport & Activité Physique research group

On April 30th, 2024
5 min reading time

Sport studies help to optimize performance or understand the physical characteristics of the terrestrial world.