Podcast : Machine learning to classify the focus score and Sjögren’s disease
New Podcast Episode – The Lancet Rheumatology
“Machine learning to classify the focus score and Sjögren’s disease”
We are pleased to highlight the latest Lancet Rheumatology conversation featuring Dr Samuel Bitoun, Principal Investigator of FHU CARE² – Innovations | Autoimmunity | Cancer | Immunotherapies, following the publication of his article PATHSAI.
In this episode, Dr Bitoun presents a major breakthrough at the intersection of artificial intelligence and clinical immunology. His team demonstrates how machine learning can be used to classify the focus score, offering new perspectives for improving the diagnosis and understanding of Sjögren’s disease. This work represents a significant step forward for precision medicine in autoimmune disorders.
Listen to the episode
- Spotify : https://open.spotify.com/episode/3v03VIsJgTNZlnPRYJsDka?si=78b46dd394034330
- Apple podcasts : https://podcasts.apple.com/us/podcast/dr-samuel-bitoun-on-machine-learning-to-classify-the/id1601630774?i=1000737174212
- Website : https://www.thelancet.com/multimedia/podcasts/in-conversation-with/lanrhe
About Dr Samuel Bitoun
Dr Samuel Bitoun is a Rheumatologist and Immunologist at Bicêtre Hospital – AP-HP, Professor at Université Paris-Saclay, and Researcher in autoimmunity within the UMR1184 IMVA-HB laboratory : Inserm, CEA, University Paris-Saclay. He also serves as Coordinator of the FHU CARE².
