2025

• The use of the Odds Ratio Product (ORP) and self-reported data to detect comorbid insomnia and sleep apnea

• A Multimodal Foundation Model Developed with 500K Hours of Sleep Recordings for Disease Predictions

• BIOSerenity-E1: a self-supervised EEG model for medical applications

• Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models

• The Clinical Impact of Periodic Limb Movements: Under-Recognition in Sleep Disordered Breathing and Associations with Key Outcomes in 493,085 Patients

• Leveraging Self-Supervised EEG Foundation Models for Data-Efficient and Clinically Robust Neurological Diagnostics

• EEG foundation models