3 papers
cs.AI2026
Learning transferable human physiology from two million hours of sleep with SleepFM-2
Rahul Thapa, Christopher Sun, William Theodor Lehn-Schioler +14
Sleep provides a nightly window into health by capturing coordinated activity across the brain, heart, muscles and respiratory system. We introduce SleepFM-2, a sleep foundation mo…
q-bio.NC2025
Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models
Aurore Bussalb, François Le Gac, Guillaume Jubien +12
Electroencephalography (EEG) is commonly used by physicians for the diagnosis of numerous neurological disorders. Due to the large volume of EEGs requiring interpretation and the s…
q-bio.QM2025
BioSerenity-E1: a self-supervised EEG model for medical applications
Ruggero G. Bettinardi, Mohamed Rahmouni, Ulysse Gimenez
Electroencephalography (EEG) serves as an essential diagnostic tool in neurology; however, its accurate manual interpretation is a time-intensive process that demands highly specia…