Combined Data May Predict Person’s Risk of Advancing From CIS to MS
A novel algorithm that combines genetic, environmental, and clinical data could be useful for predicting whether people with a first onset of multiple sclerosis (MS)-like disease — known as clinically isolated syndrome (CIS) — will experience relapses or a worsening of their disease over time. The…