MindGlide AI tool tracks MS treatments
UCL researchers have developed MindGlide, an AI tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS).

According to UCL, MindGlide can extract key information from brain images (MRI scans) acquired during the care of MS patients, such as measuring damaged areas of the brain and highlighting subtle changes such as brain shrinkage and plaques.
MS is a condition where the immune system attacks the brain and spinal cord. This causes problems in how a person moves, feels or thinks. In the UK, 130,000 people live with MS, costing the NHS over £2.9bn annually.
Magnetic Resonance Imaging (MRI) markers are necessary for studying and testing treatments for MS but measuring these markers needs different types of specialised MRI scans, limiting the effectiveness of many routine hospital scans.
As part of a new study, published in Nature Communications, researchers tested the effectiveness of MindGlide on over 14,000 images from more than 1,000 patients with MS.
This task had previously required expert neuro-radiologists to interpret years of complex scans manually, a process that can take weeks.
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