- Neurology
- 2026
New poster accepted! BioSerenity-E1 and its use in clinical cases presented at the Journées de Neurophysiologie Clinique!
Estimated reading time: 2 minutes
See you in Grenoble…
Our abstract “BIOSerenity-E1: a foundation EEG model for multiple clinical applications” has been accepted for a poster presentation at the 8th Journées de Neurophysiologie Clinique in Grenoble. This work highlights our research in the field of AI-assisted EEG analysis and the development of foundational models designed to support a wide range of applications in clinical neurophysiology.
…to discuss the clinical applications of BIOSerenity-E1
The development of AI algorithms for clinical EEG faces a major challenge: the scarcity of annotated data. Traditional approaches require large labeled datasets for each new task, making their development time-consuming and costly.
We present BIOSerenity-E1, our EEG foundation model pre-trained in a self-supervised manner on more than 4,000 hours of EEG. By evaluating its performance on four diverse clinical tasks: Normal/Abnormal classification, Alzheimer’s disease detection, pediatric sleep staging, and seizure detection, we demonstrate its utility across a range of clinical applications.
Our results show strong performance across all evaluated tasks, with high generalizability confirmed on independent external cohorts (across heterogeneous populations and modalities). The Normal/Abnormal algorithm is already integrated into a CE-marked medical device, and the seizure detection algorithm is currently undergoing clinical evaluation.These are first concrete steps toward the clinical deployment of BioSerenity-E1.