Senior Research Fellow, Queen Square MS Centre
Appears in 1 story
Lead researcher developing MS-PINPOINT AI tools for personalized MS treatment
Scientists at UCL used AI to identify two biologically distinct subtypes of multiple sclerosis—early sNfL and late sNfL—based on when nerve damage shows up in blood tests and brain scans. The discovery, published in Nature Medicine in December 2025, means doctors can finally match 2.9 million MS patients worldwide to treatments that actually fit their disease progression pattern.
Updated Jan 30
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