Researchers at University College London have developed a new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis ...

Gadolinium-based contrast agents (GBCAs) used in MRI and angiography contain a chelated form of the toxic heavy metal that was assumed to clear the body shortly after intravenous administration. [1] ...

NASHVILLE, Tennessee — A second-generation anti-CD40L monoclonal antibody suppresses multiple sclerosis (MS) disease activity on MRI to an uncommonly high degree, new trial data suggested. Researchers ...

A new AI model could help radiologists identify brain abnormalities in MRI scans for all conditions including stroke, multiple sclerosis and brain tumors. The study, led by researchers at King's ...

At the intersection of AI and medical science, there is growing interest in using machine learning to enhance imaging data captured by magnetic resonance imaging (MRI) technology. Recent studies show ...

"We plan to analyze these MRI structural measures longitudinally to determine if changes in brain volumes or lesion burden over time contribute to fatigue trajectories. More broadly, we might ...

NIH study reveals key players underlying disease onset and repair. Using an animal model of multiple sclerosis (MS), researchers at the National Institutes of Health (NIH) have created a ...

Using an animal model of multiple sclerosis (MS), researchers have created a four-dimensional brain map that reveals how lesions similar to those seen in human MS form. These findings provide a window ...

Illinois engineers fused ultrafast imaging with smart algorithms to peek at living brain chemistry, turning routine MRIs into metabolic microscopes. The system distinguishes healthy regions, grades ...