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Brain Communications|May 8, 2025
Brain age in multiple sclerosis: a study with deep learning and traditional machine learningLars Skattebøl, Gro O Nygaard, Esten H Leonardsen, et al.
Frontiers in Immunology|February 11, 2020
Increased Serological Response Against Human Herpesvirus 6A Is Associated With Risk for Multiple SclerosisElin Engdahl, Rasmus Gustafsson, Jesse Huang, et al.
Annals of the Rheumatic Diseases|September 29, 2011
Development of heart block in children of SSA/SSB-autoantibody-positive women is associated with maternal age and displays a season-of-birth patternAurélie Ambrosi, Stina Salomonsson, Håkan Eliasson, et al.
Annals of Neurology|September 27, 2023
A Genetic Risk Variant for Multiple Sclerosis Severity is Associated with Brain AtrophyChristiane Gasperi, Tun Wiltgen, Julian McGinnis, et al.
Annals of the Rheumatic Diseases|December 12, 2025
A proteomic profile correlates with salivary gland inflammation and disease-associated antibodies in Sjögren's diseaseAlbin Björk, Johannes Mofors, Lauro Meneghel, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|March 3, 2026
Pharmacogenomics of response to interferon-beta and glatiramer acetate in Multiple Sclerosis: A multi-centric studyAndrea Corona, Ferdinando Clarelli, Kimmo Pääkkönen, et al.
Plos One|March 9, 2013
Oligoclonal band status in Scandinavian multiple sclerosis patients is associated with specific genetic risk allelesInger-Lise Mero, Marte W Gustavsen, Hanne S Sæther, et al.
Nature Communications|July 30, 2024
A genetic-epigenetic interplay at 1q21.1 locus underlies CHD1L-mediated vulnerability to primary progressive multiple sclerosisMajid Pahlevan Kakhki, Antonino Giordano, Chiara Starvaggi Cucuzza, et al.
Annals of Neurology|August 7, 2025
Depression Polygenicity and Disease Activity and Disability Worsening in Multiple SclerosisAli Manouchehrinia, Kathryn C Fitzgerald, Amber Salter, et al.
The Lancet. Neurology|February 19, 2022
Serum neurofilament light chain for individual prognostication of disease activity in people with multiple sclerosis: a retrospective modelling and validation studyPascal Benkert, Stephanie Meier, Sabine Schaedelin, et al.
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