Exploiting existing longitudinal data cohorts can bring enormous benefits to the medical
field, as many diseases have a complex and multi-factorial time-course, and start to develop …

A proper clinical evaluation of patients with Multiple Sclerosis (MS) is of great importance to
detect MS progression. It provides important data for physicians on their daily practice as …

Background and Objectives Neurodegeneration and astrocytic activation are pathologic
hallmarks of progressive multiple sclerosis (MS) and can be quantified by serum …

Importance With multiple and increasingly effective therapies for relapsing forms of multiple
sclerosis (MS), disease-free status or no evidence of disease activity (NEDA) has become a …

We report the results of a meta-analysis of genome-wide association scans for multiple
sclerosis (MS) susceptibility that includes 2,624 subjects with MS and 7,220 control subjects …

Objective To explore the value of machine learning methods for predicting multiple sclerosis
disease course. Methods 1693 CLIMB study patients were classified as increased EDSS≥ …

Objective To investigate whether or not the disparity in disease progression in those with
pediatric-onset compared with adult-onset multiple sclerosis (MS) is due to differences in …

Objective To assess the value of annual serum neurofilament light (NfL) measures in
predicting 10‐year clinical and MRI outcomes in multiple sclerosis (MS). Methods We …

Multiple sclerosis is (MS) a T‐cell autoimmune disease characterized by a relapsing‐
remitting followed by a progressive phase. Relapses are driven by the adaptive immune …

Multiple sclerosis is postulated to be a T cell-mediated autoimmune disease characterised
by a relapsing-remitting stage followed by a secondary progressive phase. The relapsing …