The Biology behind New Clinical Phenotypes of Multiple Sclerosis (BKFMS)

Ledet af forskningsansvarlig, cheflæge Melinda Magyari
Led by Principal Investigator, Chief Physician Melinda Magyari

The purpose of the research is to develop tailored treatments for patients with multiple sclerosis. Using artificial intelligence, researchers identify how patients experience different disease trajectories.

The researchers utilize clinical and demographic data from the Danish Multiple Sclerosis Registry, which has been collecting data from all Danish multiple sclerosis patients since 1956. This data is combined with genetic information to enhance precision. By employing the computational power of the Danish National Genome Center's supercomputer, researchers analyze the data in statistical models that account for relevant clinical information and lifestyle factors.