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Prognosis and monitoring
A practical survey of prognostic modelling in multiple sclerosis and the steps needed to move prediction into clinical use.
EAN 2022 — AI & MS Workshop
- Delivered
- Event
- EAN 2022 — AI & MS Workshop
- Format
- Workshop
- Source deck
- 31 slides
From the slides
Deck notes
This workshop reviewed how clinical, imaging and biomarker data have been used to predict disease activity and disability in multiple sclerosis. It also examined reporting quality, bias and the path to clinical translation.
The question
What must a prognostic model do before it can support monitoring and decisions for an individual patient?
Deck outline
- Prognostic models for disease activity and progression
- Predicting phenotypic conversion and long-term disability
- Imaging and fluid biomarkers
- Reporting standards and risk of bias
- Biomarker qualification and regulatory pathways
- Robustness, recovery endpoints and future directions
Take-away
Prediction alone is not enough: useful models need clear outcomes, transparent reporting and evidence that they remain reliable in the setting where they will be used.
