In this paper, we analyse the different advances in artificial intelligence (AI) approaches in
multiple sclerosis (MS). AI applications in MS range across investigation of disease …

Environmental exposure of arsenic impairs cardiometabolic profile, skeletal muscle health,
and neurological function. Such declining tissue health is observed as early as in one's …

Background Multiple sclerosis (MS) is an immune-mediated neurological disorder, and up to
50% of patients experience depression. We investigated how white matter network …

Objectives This study aimed to evaluate the potential clinical value of a new brain age
prediction model as a single interpretable variable representing the condition of our brain …

Background: Growing evidence links brain-MRI enlarged perivascular spaces (EPVS) and
multiple sclerosis (MS), but their role remains unclear. Objective: This study aimed to …

Background: Brain age prediction from brain MRI scans and the resulting brain age gap
(BAG)—the difference between predicted brain age and chronological age—is a general …

Aging is associated with structural brain changes, cognitive decline, and neurodegenerative
diseases. Brain age, an imaging biomarker sensitive to deviations from healthy aging, offers …

Disentangling brain ageing from disease-related neurodegeneration in patients with
multiple sclerosis (PwMS) is increasingly topical. The brain-age paradigm offers a window …

Old age is associated with a decline in cognitive function and an increase in
neurodegenerative disease risk. Brain aging is complex and accompanied by many cellular …

A healthy brain is an explicit prerequisite for exploiting life's full potential. For long,
neurotropic virusinfectionin the CNS has been known to cause immune-mediated …