MACHINE LEARNING AND PREDICTION OF MUSCLE INJURIES IN SPRINTINGPost-doctoral research by Jeanne Tondut

Supervisors:   Pascal Edouard (CHU), Laurent Navarro (EMSE)

Financing: ANR (FULGUR project)

This project aims to develop strategies to limit the occurrence of muscle injuries in sprinting. This objective is divided into 3 specific objectives:

> Identify factors and behaviors linked to the risk of muscle injuries in sprinting
> Analyze the impact of muscle injuries in sprinting on these factors and behaviors;
> Develop strategies based on an individualized multifactorial approach to limit the occurrence of muscle injuries in sprinting.

The athletes concerned for the recruitment of participants will come from the French athletics, rugby and ice sports federations. The data collected will be processed using machine learning techniques to produce a predictive algorithm for the athlete's risk of injury.

Contract duration: 07/2022 to 12/2023