Severe multiple sclerosis predicted using machine learning

A combination of only 11 proteins can predict long-term disability outcomes in multiple sclerosis (MS) for different individuals. The identified proteins could be used to tailor treatments to the individual based on the expected severity of the disease. The study, “Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis,” led by researchers at Linköping University in Sweden, has been published in the journal Nature Communications.

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