Publications

Our pediatric sleep research to be presented in Paris at the International Conference on Signal, Image Processing and Pattern Recognition

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.

Read More Our pediatric sleep research to be presented in Paris at the International Conference on Signal, Image Processing and Pattern Recognition
EEG-based Alzheimer’s detection: abstract selected for Recent Advances in Machine Learning for Healthcare event.

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.

Read More EEG-based Alzheimer’s detection: abstract selected for Recent Advances in Machine Learning for Healthcare event.
BIOSerenity contributes to a publication in Nature Medicine : A multimodal sleep foundation model for disease prediction

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.

Read More BIOSerenity contributes to a publication in Nature Medicine : A multimodal sleep foundation model for disease prediction

Our pediatric sleep research to be presented in Paris at the International Conference on Signal, Image Processing and Pattern Recognition