Novel Machine Learning Technique May Help ID Tremor Specific to MS...

A new machine learning strategy was able to differentiate tremor specific to multiple sclerosis (MS) from tremor related to other diseases, with more than 90% accuracy, according to a new study. "The proposed method, with high classification accuracy and strong correlations of [tremor] features to clinical outcomes, has clearly demonstrated the potential to complement the existing tremor-diagnostic approach in MS patients," the researchers wrote. The study, "Machine learning aided classification of tremor in multiple sclerosis," was published in eBioMedicine. Tremor, or uncontrolled shaking, can occur as a symptom of MS, usually associated with damage to part of the brain called the cerebellum. In fact, according to the researchers, about half of MS patients experience this symptom.