Retour sur la page des blogs When AI Scores Sleep Like an Expert: Validating BIOSerenity A.I. SOMNO on 371 Polysomnographies Author : Guillaume JUBIEN How close can AI get to the trained eye of a sleep expert? We ran an internal clinical study to find out: BIOSerenity A.I. SOMNO, our end-to-end AI for automated polysomnography…
Retour sur la page des blogs What Is an EEG? How Reading Brain Waves Transformed Clinical Neuroscience The brain is always active. Even during sleep, millions of neurons are firing in coordinated patterns, producing tiny electrical signals that ripple across the scalp. The electroencephalogram (EEG) is the tool that makes those signals visible. Since its…
At the American Academy of Neurology (AAN) Annual Meeting 2026, BIOSerenity was represented in Chicago by Ruggero Bettinardi (Data Science) and Anaïs Llorens (Strategic Marketing). This event is one of the leading international gatherings in neurology, bringing together clinicians, researchers, and industry stakeholders.
Antoine Honoré presented a poster on the latest advances in our EEG foundation models at the American Clinical Neurophysiology Society (ACNS) Annual Meeting 2026, one of the leading international events in clinical neurophysiology, held in New Orleans from February 19 to 22.
We are pleased to share that Colin Flipo received the Best Poster Presentation Award at the International Conference on Signal, Image Processing and Pattern Recognition, held in Paris in February 2026.
Our abstract, “Adapting a General-Purpose EEG Foundation Model for Pediatric Sleep Staging: Development of a Channel-Agnostic Multimodal Framework”, has been accepted for poster presentation at the International Conference on Signal, Image Processing and Pattern Recognition, held in Paris in February 2026. This conference focused on advances in signal and image processing, from fundamental research to applied developments.
On November 25-26, 2025, the Grand Palais hosted Adopt AI, bringing together more than 25,000 participants and 500 speakers across major topics in artificial intelligence and healthcare. Within this global event, Bioserenity took part in the AI for Health, spotlighting how AI is transitioning from research to real-world clinical applications.
We are kicking off 2026 with the publication of a paper in Nature Medicine, the result of a collaboration with Prof. Emmanuel Mignot’s team at Stanford. This study explores the development of a multimodal foundation model applied to sleep data, with the goal of improving automated disease detection from polysomnography signals. It marks a significant step forward in the use of AI for sleep disorder diagnostics.
