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NPJ Digital Medicine|July 24, 2025
Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical dataAshkan Pirmani, Edward De Brouwer, Ádám Arany, et al.
Journal of Neurology|April 19, 2026
Predicting disease progression in multiple sclerosis with clinically accessible information and technologyTom A N Fuchs, Menno M Schoonheim, Eva M M Strijbis, et al.
Journal of Neurology|February 3, 2026
Effect of late-onset on multiple sclerosis phenotype and outcome: evidence from a multi-national registryAmira Souissi, Francesco Patti, Tim Spelman, et al.
Brain : a Journal of Neurology|June 27, 2023
The risk of secondary progressive multiple sclerosis is geographically determined but modifiableSifat Sharmin, Izanne Roos, Steve Simpson-Yap, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|February 28, 2023
Early non-disabling relapses are important predictors of disability accumulation in people with relapsing-remitting multiple sclerosisCyrus Daruwalla, Vahid Shaygannejad, Serkan Ozakbas, et al.
JAMA Neurology|April 14, 2025
Standardized Definition of Progression Independent of Relapse Activity (PIRA) in Relapsing-Remitting Multiple SclerosisJannis Müller, Sifat Sharmin, Johannes Lorscheider, et al.
Nature Genetics|October 1, 2013
Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis, Ashley H Beecham, Nikolaos A Patsopoulos, et al.
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