Researchmachine learningmultiple sclerosisbiomarkers
UCL Identifies Two Multiple Sclerosis Subtypes
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7.0
Researchers at University College London report in Brain (2025) that machine learning analysis of blood serum neurofilament light chain (sNfL) and MRI data from 634 patients identifies two distinct multiple sclerosis subtypes, "early-sNfL" and "late-sNfL", with differing lesion patterns and progression rates. If validated, the classification could allow earlier monitoring and more targeted treatment decisions for patients.
Scoring Rationale
Uses peer-reviewed ML analysis with established biomarker for clinical stratification; limited by cohort size and need for validation.
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