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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.