European Committee for Treatment and Research in Multiple Sclerosis Congress (ECTRIMS)

Shorts

AI Could Help Clinicians Streamline Workflows and Improve Patient Care
1:45
AI Could Help Clinicians Streamline Workflows and Improve Patient Care
5 days ago
by
Louie Pasculli(+1 more)
Advances in Brain and Spinal Cord MRI in MS
1:05
Advances in Brain and Spinal Cord MRI in MS
6 days ago
by
Julien Cohen-Adad, PhD(+1 more)
Spinal Cord Imaging in MS: Clinical Impact and the Need for Reliable AI
1:43
Spinal Cord Imaging in MS: Clinical Impact and the Need for Reliable AI
10 days ago
by
Julien Cohen-Adad, PhD(+1 more)
MSToronto 2026: Multiple Sclerosis Progression Remains an Unmet Need
0:52
MSToronto 2026: Multiple Sclerosis Progression Remains an Unmet Need
11 days ago
by
Dinesh Sivakolundu, MD, PhD(+1 more)
MSToronto 2026: Vidofludimus Calcium and Potential Neuroprotective Effects
1:40
MSToronto 2026: Vidofludimus Calcium and Potential Neuroprotective Effects
11 days ago
by
Robert Fox, MD(+1 more)
MSToronto 2026: Gaps in NMOSD Treatment Selection
0:49
MSToronto 2026: Gaps in NMOSD Treatment Selection
12 days ago
by
Michael Levy, MD, PhD(+1 more)
Seronegative NMOSD in New Diagnostic Criteria
1:03
Seronegative NMOSD in New Diagnostic Criteria
9 months ago
by
Álvaro Cobo-Calvo, MD, PhD(+1 more)
The Role of Virtual Reality in MS Rehabilitation
1:07
The Role of Virtual Reality in MS Rehabilitation
10 months ago
by
Tobias Nef, PhD(+1 more)
Key Updates Proposed for Revised NMOSD Diagnostic Criteria
1:03
Key Updates Proposed for Revised NMOSD Diagnostic Criteria
10 months ago
by
Shailee Samir Shah, MD(+1 more)
Robert J. Fox, MD
1:03
Phase 2 Data of Vidofludimus Calcium in Progressive MS
10 months ago
by
Robert Fox, MD(+1 more)

Latest Content

At MSToronto 2026, investigators applied machine learning to health records, retinal scans, and blood samples to flag multiple sclerosis and neuromyelitis optica spectrum disorder years before diagnosis or disability worsening, and identified the symptoms and conditions that tend to come first.

At MSToronto 2026, researchers showed deep learning models that extract more from routine MRI scans than volume measures alone, and clinicians described uses beyond imaging, but speakers warned that most published MS models have never been tested outside the center that built them.