To provide the right treatment for multiple sclerosis (MS), it is important to know when the disease changes from relapsing-remitting to secondary progressive, a transition that is currently recognized on average three years too late. Researchers at Uppsala University have now developed an AI model that can determine with 90% certainty which variant the patient has. The model increases the chances of starting the right treatment in time and thus slowing the progression of the disease.
AI analyzes patient data to detect multiple sclerosis progression, improving early treatment decisions
