Running now
MS-PINPOINT
- Sites
- 12 hospitals
- Based at
- University College London
Bringing together routine imaging and clinical data from twelve hospitals to work out what actually predicts how multiple sclerosis progresses in an individual.
MS-PINPOINT · UCL Queen Square
Turning routine hospital data into answers about multiple sclerosis.
We build the computational tools that read the scans and records hospitals already hold — across many hospitals, internationally — so that what happens to one person with MS can inform the care of the next.
A single hospital sees a few hundred people with MS. We are building the tools to learn from all of them at once.
- MS-PINPOINT, today
- 12hospitalsHospitals contributing routine scans and records to the study right now.
- DREAMS, from July 2027
- 16hospitalsThe next study widens the network and the clinical question.
- UCL → King's College London
- 2027The group moves to KCL in July 2027, taking both projects with it.
Two studies
One running today. One starting in 2027.
Starts July 2027
DREAMS
- Sites
- 16 hospitals
- Based at
- King's College London
Our next study, newly funded and beginning when the group moves to KCL. It widens the network to sixteen hospitals and pushes from prediction towards causal answers.
If you are a patient at one of the twelve MS-PINPOINT hospitals and do not want your data included, the opt-out above is the one you want. DREAMS has not started and has no opt-out yet.
Software
MindGlide reads the scans hospitals already have.
Hospital MRI archives hold decades of imaging that was never analysed at scale, because the scans were acquired for clinical care rather than research. MindGlide is our deep-learning tool for measuring them anyway — turning an archive into a dataset.
Latest news
What the group has been doing
25 Jul 2026News
DREAMS: a Wellcome-funded lab to turn everyday hospital scans and notes into earlier, fairer MS care
Arman Eshaghi has been awarded a Wellcome Career Development Award to establish the DREAMS Lab at King's College London — an 8-year, £2.72M project building AI that learns from the MRI scans and clinical notes hospitals already hold.
Arman Eshaghi
08 Jul 2026News
Bringing AI from research to the clinic: MS-PINPOINT co-authors a Nature Reviews Neurology perspective
A new perspective co-authored by MS-PINPOINT's Arman Eshaghi asks why medical AI so rarely reaches patients — and what it will take to make it useful in everyday MS care.
MS-PINPOINT Team
08 Jul 2026News
Barbara Brito Vega to present spinal cord MRI research at MSToronto2026
MS-PINPOINT PhD student Barbara Brito Vega has had her work on contrast-agnostic spinal cord MRI analysis accepted for the 10th Joint ACTRIMS–ECTRIMS Meeting in Toronto.
Barbara Brito Vega