Current Status and Future Opportunities in Modeling Clinical Characteristics of Multiple Sclerosis.

ABSTRACT: Development of effective treatments requires understanding of disease mechanisms. For diseases of the central nervous system (CNS), such as multiple sclerosis (MS), human pathology studies and animal models tend to identify candidate disease mechanisms. However, these studies cannot easily link the identified processes to clinical outcomes, such as MS severity, required for causality assessment of candidate mechanisms. Technological advances now allow the generation of thousands of biomarkers in living human subjects, derived from genes, transcripts, medical images, and proteins or metabolites in biological fluids. These biomarkers can be assembled into computational models of clinical value, provided such models are generalizable. Reproducibility of models increases with the technical rig

SUBMITTER: Liu J 

PROVIDER: S-EPMC9198703 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature