ETH Zurich researchers have developed a new method of magnetic resonance imaging (MRI) for the early detection and better monitoring of multiple sclerosis (MS). The method maps the myelin sheaths in ...

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 ...

The Swoop portable MRI system showed 92% agreement with traditional MRI scans and was four times more likely to be chosen by ...

"In terms of association with climate, our results suggest a relationship between enhancing lesions and tropical nights, a variable indicating extreme temperatures, which had not been previously ...

Background Myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) and multiple sclerosis (MS) have both overlapping and distinct MRI lesion features, which vary with imaging timing.

A recent Npj Digital Medicine study assesses the accuracy and effectiveness of artificial intelligence (AI)-based imaging techniques to diagnose multiple sclerosis (MS). Study: A real-world clinical ...

Multiple sclerosis (MS) is a neurological disease that usually leads to permanent disabilities. It affects around 2.9 million people worldwide, and around 15,000 in Switzerland alone. One key feature ...

Current conventional imaging will continue to impact our daily care of MS patients for years to come. Better guidelines related to undesirable disease activity seen on MRI will need to be developed ...

Improved MRI scans of the myelin sheaths in the brain should allow multiple sclerosis to be detected at an early stage. Multiple sclerosis (MS) is a neurological disease that usually leads to ...