Using machine learning to predict disease progression in mul

A combination of only 11 proteins can predict long-term disability outcomes in multiple sclerosis (MS) for different individuals.

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Stockholm , Sweden , Swedish , Sara Hojjati , Mika Gustafsson , Department Of Physics , Nature Communications , University Hospital , Swedish Foundation , Clinical Sciences At Link , Swedish Foundation For Strategic Research , Swedish Brain Foundation , Karolinska University Hospital , Swedish Research Council , University Of Sk , Department Of Biomedical , Karolinska Institute , Ugglas Foundation , Alice Wallenberg Foundation , Clinical Sciences , Strategic Research , Machine Learning , Bioinformatics , Flood , Rain , Central Nervous System , Disability , Hospital , Immune System , Multiple Sclerosis , Myelin , Nerve , Nervous System , Protein , Roteomics , Research , Clerosis ,