We are developing an AI tool that detects different types of multiple sclerosis (MS) using magnetic resonance imaging (MRI) and blood tests. Our goal is to help doctors recommend the most appropriate treatment with the fewest side effects for each patient.
Our aim is to identify patterns in MRI and blood tests that characterize specific types of MS. This information will help us predict how symptoms may change, when MS may worsen, and which drugs are most likely to help.
We will measure how the new MS types complement the existing ones, calculate potential cost savings, and improve healthcare by recommending appropriate treatments earlier and delaying disability.