All talks & lectures
Invited lecture ·
Enabling Personalised Care using Real-world Machine Learning in Multiple Sclerosis
A CUBRIC seminar on biological MS types, automated MRI measurement and federated analysis across hospitals.
CUBRIC Seminar · Cardiff, UK
- Delivered
- Event
- CUBRIC Seminar
- Place
- Cardiff, UK
- Format
- Invited lecture
- Source deck
- 22 slides
From the slides
Deck notes
This seminar connected biological MS types with individual treatment effects and the practical work needed to analyse routine MRI across hospitals. It also introduced automated regional brain measurements, SynthSpine and the wider MS-PINPOINT programme.
The question
How can biological disease patterns support personalised care while hospital data remain within their clinical settings?
Deck outline
- Data-driven MS types derived from MRI
- Individual treatment effects and treatment risk–benefit
- Automated measurement of lesions, grey matter and ventricular regions
- SynthSpine for spinal-cord MRI data augmentation
- Federated learning across participating hospitals
- Translation through the MS-PINPOINT programme
Take-away
Personalisation depends on robust measurements and deployable, privacy-preserving infrastructure as much as it does on the model itself.
