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AI Identifies New Multiple Sclerosis Subtypes from Brain Scans In MS, the central nervous system is attacked, damaging the myelin covers of nerve cells. [© iceteastock - Fotolia.com] April 8, 2021 Scientists at University College London (UCL) have used artificial intelligence (AI) to identify three new multiple sclerosis (MS) subtypes from brain MRI scans. The researchers say the findings will help to identify those individuals with MS who are more likely to have disease progression, and could aid in more effective treatment targeting. Arman Eshaghi, MD, PhD, at UCL Queen Square Institute of Neurology, explained, “Currently MS is classified broadly into progressive and relapsing groups, which are based on patient symptoms; it does not directly rely on the underlying biology of the disease, and therefore cannot assist doctors in choosing the right treatment for the right patients. Here, we used artificial intelligence and asked the question: can AI find MS subtypes that follow a

Alan thompsonClare waltonArman eshaghiOlga ciccarelliNature communicationsQueen square institute of neurologyMs societyFaculty of brain sciencesScientists at university college londonInternational progressive ms allianceUniversity college londonSquare instituteStage inferenceBrain sciencesInternational progressiveஆலன் தாம்சன்