A recent patent whose main authors are Edi Prifti (UMMISCO) and Prof. Joe-Elie Salem (SU/APHP) and describing a new method for detecting the risk of Torsade De Pointes based on Deep Learning has been selected among the three nominees for the "Promising Patent" category of APinnov2021. 

This is a team effort, involving experts in clinical cardiology, AI researchers from IRD and a whole ecosystem within French public research (University Hospitals of Greater Paris - AP-HP, IRD, Sorbonne University). 

Short video presentation:
https://vimeo.com/545676610/74177a6748