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Conference ·
Using AI to Redefine Multiple Sclerosis: Promises and Challenges
An ABN talk on moving from symptom-led MS labels towards classifications grounded in imaging and biomarkers.
ABN Coventry · Coventry, UK
- Delivered
- Event
- ABN Coventry
- Place
- Coventry, UK
- Format
- Conference
- Source deck
- 20 slides
From the slides
Deck notes
This talk examined whether MS can be described more usefully through biological patterns than through symptoms alone. It brought together MRI-derived types, immune endotypes and multimodal biomarkers, then asked what would make them clinically meaningful.
The question
Should MS remain classified mainly by symptoms, or can reproducible biological patterns provide more useful definitions?
Deck outline
- Symptom-based and symptom-agnostic disease classification
- Data-driven MS types derived from MRI
- Immune-cell endotypes in early MS
- Multimodal imaging and serum biomarker types
- The MS-PINPOINT clinical and research network
- Clinical significance and the redefinition of disease courses
Take-away
AI can reveal structure across imaging and biomarkers, but a new classification matters only when it changes clinical understanding or care.