We develop intelligent algorithms to monitor and predict the brain states for medical care and prevention. The main applications are dedicated to optimal control of anesthesia and predicting the outcome of various types of comas.
Algorithms are based on a cutting edge EEG signal processing, computational neuroscience modeling, artificial intelligence and classification methods. By predicting the states of the brain, it will now be possible to prevent a too deep anesthesia and to create a personalize dose infusion. With these new tools of brain predictions and intelligent guidance, sensitive patients such as children and elderly will have an insurance of a minimal post anesthetic complications.
SignalMed+ is a French startup emerging from École Normale Supérieure, CNRS, APHP Lariboisière Hospital, Université Paris Cité and INSERM, cofounded by a computer scientist, a neurophysiologist clinician, a businessman and an applied mathematician.
Didier holds an MBA from UC Berkley and has more than 30 years of experience in financing and project management, directing digital transformation projects in France and abroad. He is certified Leadership Management (IMD, Lausanne). He managed organizations for WHO (Geneva), Hermès (Paris), Staples (Amsterdam), and L’Occitane (Geneva & NY).
David is research director at École Normale Supérieure in Paris. He is an expert in mathematics and engineering for modeling and analysis of biological data. With his research group, he developed an interdisciplinary approach to study and model the brain, from the neuron to the different cortical areas. He received numerous international awards for his career, including a Marie Curie Award and ERC Consolidator and Avanced Grants.
Nathalie is an expert in neuroscience and neurophysiology. She is professor (PUPH) at Université Paris Cité and head of the Clinical Physiology Department at Lariboisière Hospital (Paris), and she is co-director of INSERM team “Hemostasis, Thrombo-Inflammation and Neuro-Vascular Repair“ at the Laboratory of Vascular Translational Science (UI1148, Bichat Hospital, Paris). Her research is focused on cerebral plasticity, with a clinical and pre-clinical approach.
Matteo has a PhD in neuroscience from École Normale Supérieure, where he works on the analysis of EEG signal for coma and anesthesia. He has a background in computer engineering, and holds a double master in physics and mathematical modelling (Sorbonne University and Polytechnic University of Turin). Before turning to academy, he spent 3 years in the engineering team of a high-traffic web portal, working on software development and infrastructure monitoring.
SignalMed+ is incubated at Paris Biotech Santé and supported by research institutions and startup organizations.
Les promesses de l’électroencéphalographie appliquée à l’anesthésie pour ajuster le niveau de sédation
Read on lemonde.frNeurologie : contrôler les anesthésies générales par intelligence artificielle
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