SarcopenAI
Project Overview
University
Year
About
Age-related muscle loss can remain unnoticed until declining strength leads to falls, hospitalisation or loss of independence, while current assessments may be costly, subjective or detect problems too late. SarcopenAI combines portable ultrasound with AI to produce clearer, more consistent measures of muscle health over time. Its cloud platform gives hospitals, rehabilitation centres, care homes and home-care teams a shared view of each patient’s progress. Earlier, more accessible monitoring could help clinicians guide nutrition, exercise and rehabilitation, supporting mobility and independence for longer.
Team
Théo Coutaudier
Theo is a Data Scientist at HESAV – School of Health Sciences, working at the intersection of artificial intelligence, data science, and healthcare. He graduated in 2024 with a Bachelor’s degree in Computer Engineering and has since focused on applying technology and computational methods to medical research to develop innovative solutions with real clinical impact. His research focuses on developing and evaluating computational approaches for medical imaging, with the aim of extracting meaningful information from clinical data and supporting better patient assessment.