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 ...

New research exploring cutting-edge Artificial Intelligence (AI) technology to better analyze MRI scans of patients with multiple sclerosis (MS) could unlock crucial insights into disease progression ...

"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 ...

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 ...

"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 ...

Experts from the University of Nottingham have proven that multiple sclerosis (MS) can successfully be diagnosed using an MRI scan, meaning patients no longer need to undergo a painful lumbar puncture ...

Multiple sclerosis (MS) is a chronic autoimmune disease that affects the brain and spinal cord. It occurs when the immune system mistakenly attacks and damages myelin, a protective fatty substance ...

Changes in NAWM and NAGM are crucial in MS progression, challenging the traditional lesion-centric model. Subtle alterations in myelin integrity, immune cell function, and neuronal connectivity ...

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 ...