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Dr. Arman Eshaghi

Dr. Arman Eshaghi

Senior Research Fellow, Queen Square MS Centre

Appears in 1 story

Notable Quotes

AI is allowing us to move towards an objective classification of multiple sclerosis for the first time, one based on biology rather than clinical symptoms alone.

Stories

AI cracks the multiple sclerosis code

New Capabilities

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