Search research articles
Contact Us
Filters
Showing results (71-80 of 112) with videos related to
Page
of 12
Sort By:
The Lancet. Neurology
|
March 22, 2020
Timing of high-efficacy therapy for multiple sclerosis: a retrospective observational cohort study
Anna He, Bernd Merkel, James William L Brown, et al.
Journal of the Neurological Sciences
|
September 19, 2021
Long-term outcomes in patients presenting with optic neuritis: Analyses of the MSBase registry
Rachel Kenney, Mengling Liu, Sachi Patil, et al.
Multiple Sclerosis and Related Disorders
|
December 27, 2019
Clinical and therapeutic predictors of disease outcomes in AQP4-IgG+ neuromyelitis optica spectrum disorder
Amy Kunchok, Charles Malpas, Petra Nytrova, et al.
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 study
Clara G Chisari, Giancarlo Comi, Massimo Filippi, et al.
JAMA
|
January 16, 2019
Association of Initial Disease-Modifying Therapy With Later Conversion to Secondary Progressive Multiple Sclerosis
J William L Brown, Alasdair Coles, Dana Horakova, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
November 1, 2019
Redefining the Multiple Sclerosis Severity Score (MSSS): The effect of sex and onset phenotype
Yuan Zhou, Suzi B Claflin, Jim Stankovich, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
April 7, 2017
Long-term disability trajectories in primary progressive MS patients: A latent class growth analysis
Alessio Signori, Guillermo Izquierdo, Alessandra Lugaresi, et al.
Brain : a Journal of Neurology
|
May 10, 2020
Early clinical markers of aggressive multiple sclerosis
Charles B Malpas, Ali Manouchehrinia, Sifat Sharmin, et al.
Computer Methods and Programs in Biomedicine
|
June 19, 2021
Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression
Edward De Brouwer, Thijs Becker, Yves Moreau, et al.
Computer Methods and Programs in Biomedicine
|
November 8, 2021
Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180]
Edward De Brouwer, Thijs Becker, Yves Moreau, et al.
Page
of 12
Search research articles
Search
Showing results (71-80 of 112) with videos related to
Sort By:
Page
of 12
The Lancet. Neurology
|
March 22, 2020
Timing of high-efficacy therapy for multiple sclerosis: a retrospective observational cohort study
Anna He, Bernd Merkel, James William L Brown, et al.
Journal of the Neurological Sciences
|
September 19, 2021
Long-term outcomes in patients presenting with optic neuritis: Analyses of the MSBase registry
Rachel Kenney, Mengling Liu, Sachi Patil, et al.
Multiple Sclerosis and Related Disorders
|
December 27, 2019
Clinical and therapeutic predictors of disease outcomes in AQP4-IgG+ neuromyelitis optica spectrum disorder
Amy Kunchok, Charles Malpas, Petra Nytrova, et al.
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 study
Clara G Chisari, Giancarlo Comi, Massimo Filippi, et al.
JAMA
|
January 16, 2019
Association of Initial Disease-Modifying Therapy With Later Conversion to Secondary Progressive Multiple Sclerosis
J William L Brown, Alasdair Coles, Dana Horakova, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
November 1, 2019
Redefining the Multiple Sclerosis Severity Score (MSSS): The effect of sex and onset phenotype
Yuan Zhou, Suzi B Claflin, Jim Stankovich, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
April 7, 2017
Long-term disability trajectories in primary progressive MS patients: A latent class growth analysis
Alessio Signori, Guillermo Izquierdo, Alessandra Lugaresi, et al.
Brain : a Journal of Neurology
|
May 10, 2020
Early clinical markers of aggressive multiple sclerosis
Charles B Malpas, Ali Manouchehrinia, Sifat Sharmin, et al.
Computer Methods and Programs in Biomedicine
|
June 19, 2021
Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression
Edward De Brouwer, Thijs Becker, Yves Moreau, et al.
Computer Methods and Programs in Biomedicine
|
November 8, 2021
Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180]
Edward De Brouwer, Thijs Becker, Yves Moreau, et al.
Page
of 12