Showing results (101-110 of 120) with videos related to
Sort By:
Pageof 12
Journal of Neurology|June 28, 2021
PML risk is the main factor driving the choice of discontinuing natalizumab in a large multiple sclerosis population: results from an Italian multicenter retrospective studyClara G Chisari, Giancarlo Comi, Massimo Filippi, et al.Journal of Neurology, Neurosurgery, and Psychiatry|October 29, 2025
Moderate-high efficacy disease-modifying therapies reduce relapse risk in late-onset multiple sclerosisYi Chao Foong, Daniel Merlo, Melissa Gresle, et al.Computer Methods and Programs in Biomedicine|June 19, 2021
Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progressionEdward De Brouwer, Thijs Becker, Yves Moreau, et al.Multiple Sclerosis and Related Disorders|January 10, 2019
Incidence of pregnancy and disease-modifying therapy exposure trends in women with multiple sclerosis: A contemporary cohort studyAi-Lan Nguyen, Eva Kubala Havrdova, Dana Horakova, et al.Computer Methods and Programs in Biomedicine|February 18, 2025
Explainable time-to-progression predictions in multiple sclerosisRobbe D'hondt, Klest Dedja, Sofie Aerts, et al.Journal of Neurology, Neurosurgery, and Psychiatry|January 15, 2019
Comparison of fingolimod, dimethyl fumarate and teriflunomide for multiple sclerosisTomas Kalincik, Eva Kubala Havrdova, Dana Horakova, et al.Journal of Neurology, Neurosurgery, and Psychiatry|July 6, 2023
Effectiveness of multiple disease-modifying therapies in relapsing-remitting multiple sclerosis: causal inference to emulate a multiarm randomised trialIbrahima Diouf, Charles B Malpas, Sifat Sharmin, et al.Multiple Sclerosis (Houndmills, Basingstoke, England)|August 10, 2019
Risk of secondary progressive multiple sclerosis: A longitudinal studyAdam Fambiatos, Vilija Jokubaitis, Dana Horakova, et al.European Journal of Neurology|May 18, 2022
Confirmed disability progression as a marker of permanent disability in multiple sclerosisSifat Sharmin, Francesca Bovis, Charles Malpas, et al.PLOS Digital Health|July 25, 2024
Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center studyEdward De Brouwer, Thijs Becker, Lorin Werthen-Brabants, et al.Pageof 12