BIOSerenity News & MedTech Updates

Follow BIOSerenity’s news: publications, participation in congresses, MedTech events, awards and innovations in neurological, cardiological and sleep care.

For more information about our clinical research, please visit the “Research” page.

1-6 of 13 results
  • Healthcare professional assisting a patient during an EEG examination at BIOSerenity.
    • Tech

    Spotlight on our healthcare professionals: when clinical expertise meets innovation

    Published on:

    July 24, 2026

    In a sector where technological innovation is advancing rapidly, it is essential to remember that MedTech cannot be built without healthcare professionals. They are the ones on the ground who give technology its full meaning: ensuring the reliability of collected data, supporting patients with empathy, and bridging the gap between innovation and clinical reality.
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  • Jean Zay supercomputer used by BIOSerenity to train EEG foundation models.
    • Neurology

    Training EEG AI at Scale: Inside BIOSerenity’s Experiments on the Jean Zay Supercomputer

    Published on:

    July 10, 2026

    What happens when cutting-edge supercomputing meets the challenge of understanding the human brain? Over the past three months, BIOSerenity has explored this question through large-scale EEG experiments on the Jean Zay system, one of France’s most powerful supercomputers, leveraging advanced computing and modern AI pretraining. At the core of this work are new large brain models designed to advance AI for neurophysiology and EEG analysis. As these models scale with more data, one question emerges: does bigger really mean better, or does brain data require a different approach?
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  • Guillaume in front of his BIOSerenity-E1 poster
    • Neurology

    BioSerenity-E1 and its clinical applications presented in Grenoble at the Journées de Neurophysiologie Clinique

    Published on:

    July 6, 2026

    Guillaume Jubien presented a poster on the EEG foundation model BIOSerenity-E1 and its performance on four clinical tasks to an audience of clinicians and researchers during the 8th Journées de Neurophysiologie Clinique in Grenoble on June 24.
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  • Beginning of the BIOSerenity-E1 poster
    • Neurology

    New poster accepted! Our work on BIOSerenity-E1 and its use in clinical cases will be presented at the Journées de Neurophysiologie Clinique!

    Published on:

    July 2, 2026

    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.
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  • Clinical validation of BIOSerenity A.I. SOMNO for automated polysomnography scoring.
    • Sleep

    When AI Scores Sleep Like an Expert: Validating BIOSerenity A.I. SOMNO on 371 Polysomnographies

    Published on:

    July 1, 2026

    How close can artificial intelligence 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 scoring, was evaluated on 371 recordings from 8 French sleep centers. For most of the clinical metrics used to diagnose sleep disorders, the results are statistically indistinguishable from those produced by human experts.
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  • EEG recording showing brain wave activity during a neurological examination.
    • Neurology

    What Is an EEG? How Reading Brain Waves Transformed Clinical Neuroscience

    Published on:

    June 29, 2026

    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 introduction nearly a century ago, [1,2] it has given clinicians and researchers a window into brain activity that no other technology can replicate: continuous, real-time, and non-invasive.
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