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ECTRIMS 2023 | Machine learning to identify cognitive phenotypes in MS

Elisa Colato, PhD, University College London, London, UK, explores a multicenter study aiming to harness machine learning to pinpoint distinct cognitive phenotypes in multiple sclerosis (MS). The current cohort comprises 1,189 participants, with the study actively seeking additional collaboration. Preliminary results have identified four participant clusters; these groups are verbal memory, executive function and attention, visuospatial memory, and a severe multi-domain group. Notably, certain clusters show an association with worsened EDSS and cognitive decline over two years. The project’s end goal is the development of a user-friendly app for clinicians, helping to categorize patients into cognitive phenotypes. This tool is expected to guide tailored interventions and monitor progress. This interview took place at the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Congress 2023 in Milan, Italy.

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