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MS prognostic tools and AI

This webinar was presented at the first International Neuroimmunology Conference INIC 2024 1-2 March 2024 in Riyadh, Saudi Arabia. Professor Bart Van Wijmeersch focused on the integration of multiple prognostic factors and AI to tailor MS treatment to individual patient needs, aiming to improve long-term outcomes through personalized medicine, emphasizing the importance of considering each patient’s unique prognosis when initiating treatment. Professor Van WIjmeerch also explored how machine learning and AI can enhance the prediction of disability progression by integrating various clinical, imaging, and electrophysiological data points.

BIOGRAPHY

 Bart Van Wijmeersch  

Associate Professor of Neurology at the University of Hasselt

Bart Van Wijmeersch is a neurologist specialized in Multiple Sclerosis. He is medical director of the Rehabilitation and MS Center in Pelt where he leads the multidisciplinary MS-team. Furthermore, he is an associate professor of Neurology at the University of Hasselt, affiliated with the Biomedical Institute, where he’s involved in pre-clinical as well as the clinical research on MS at the biomedical institute (BIOMED). He has a supporting role in all the immunological research on blood- and CSF samples of persons with MS and in EAE-animal models, as well as in the rehabilitation research at REVAL. Immunological, Biomarker, MRI, Electrophysiological and Rehabilitation research in MS come together in this way. He has an educational role in the faculty of medicine and physiotherapy.

He’s a member of the Belgian Study Group of Multiple Sclerosis, first President of ParadigMS and a member of advisory boards of different pharmaceutical companies with interest in Multiple Sclerosis.

As acknowledgment of his scientific work, he received an honorary award of the Flemish government in the summer of 2019.

Media

Details

  • Directors

    ParadigMS

  • Author(s)

    Bart Van Wijmeersch

  • Country

    Belgium

  • Release Date

    June 27, 2024

  • Views

    441

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