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Hope for people with MS after breakthrough in new study

Ned Fulmer speaks about his multiple sclerosis diagnosis
  • Researchers from Queen Square Analytics and University College London have identified two novel sub-types of multiple sclerosis (MS).
  • The discovery involved using artificial intelligence to analyse brain scans and serum neurofilament light chain (sNfL), a blood marker for nerve cell injury, from 634 MS patients.
  • The two sub-types are “early-sNfL” characterised by high sNfL levels early in the disease and damage to the corpus callosum, and “late-sNfL”, showing a later sNfL rise and early volume loss in cortical and deep grey matter.
  • Lead author Dr Arman Eshaghi stated this finding helps explain the varied progression of MS and is a significant step towards more personalised monitoring and treatment.
  • Experts believe these new classifications offer a better understanding of the condition than current symptom-based definitions, potentially leading to more effective treatments to halt disease progression.
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