AI uncovers two distinct multiple sclerosis types

AI uncovers two distinct multiple sclerosis types

Artificial intelligence (AI), using a simple blood test combined with standard brain images has, for the first time, been able to identify two biologically distinct types of multiple sclerosis (MS), in research led by UCL and Queen Square Analytics, a UCL spinout company.

UCL researchers use AI to identify two forms of MS for the first time

For the first time, UCL researchers have used AI to identify two biologically distinct forms of MS, supporting the potential for more personalised care and improved treatment decisions for patients worldwide A study led by University College London has used artificial intelligence to reveal two biologically distinct forms of multiple sclerosis (MS). By combining routine MRI brain scans with a simple blood biomarker test, the team used a machine …

AI Model Distinguishes EDSS Subgroup Patterns in Multiple Sclerosis, Study Shows | NeurologyLive - Clinical Neurology News and Neurology Expert Insights

A new large-scale analysis revealed that patients with identical EDSS scores can exhibit distinct patterns of functional impairment, identified using artificial intelligence–based clustering algorithms.