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Maria Trojano

Showing results (301-310 of 342) with videos related to

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Journal of Neurology|May 18, 2026
Correction: Ozone pollution as a possible trigger for multiple sclerosis in young people: the PEDIGREE studyRoberto Bergamaschi, Ottavia Eleonora Ferraro, Enrico Pisoni, et al.
JAMA|January 16, 2019
Association of Initial Disease-Modifying Therapy With Later Conversion to Secondary Progressive Multiple SclerosisJ William L Brown, Alasdair Coles, Dana Horakova, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|July 23, 2015
The effect of oral immunomodulatory therapy on treatment uptake and persistence in multiple sclerosisMatthew Warrender-Sparkes, Tim Spelman, Guillermo Izquierdo, et al.
Brain : a Journal of Neurology|May 10, 2020
Early clinical markers of aggressive multiple sclerosisCharles 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 progressionEdward De Brouwer, Thijs Becker, Yves Moreau, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|October 11, 2013
Predictors and dynamics of postpartum relapses in women with multiple sclerosisStella E Hughes, Tim Spelman, Orla M Gray, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|September 28, 2022
Heterogeneity on long-term disability trajectories in patients with secondary progressive MS: a latent class analysis from Big MS Data networkAlessio Signori, Johannes Lorscheider, Sandra Vukusic, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|April 7, 2017
Long-term disability trajectories in primary progressive MS patients: A latent class growth analysisAlessio Signori, Guillermo Izquierdo, Alessandra Lugaresi, 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.
Journal of Neurology, Neurosurgery, and Psychiatry|December 6, 2024
Disease-modifying treatment and disability progression in subclasses of patients with primary progressive MS: results from the Big MS Data NetworkJohannes Lorscheider, Alessio Signori, Suvitha Subramaniam, et al.
Pageof 35

Showing results (301-310 of 342) with videos related to

Sort By:
Pageof 35
Journal of Neurology|May 18, 2026
Correction: Ozone pollution as a possible trigger for multiple sclerosis in young people: the PEDIGREE studyRoberto Bergamaschi, Ottavia Eleonora Ferraro, Enrico Pisoni, et al.
JAMA|January 16, 2019
Association of Initial Disease-Modifying Therapy With Later Conversion to Secondary Progressive Multiple SclerosisJ William L Brown, Alasdair Coles, Dana Horakova, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|July 23, 2015
The effect of oral immunomodulatory therapy on treatment uptake and persistence in multiple sclerosisMatthew Warrender-Sparkes, Tim Spelman, Guillermo Izquierdo, et al.
Brain : a Journal of Neurology|May 10, 2020
Early clinical markers of aggressive multiple sclerosisCharles 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 progressionEdward De Brouwer, Thijs Becker, Yves Moreau, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|October 11, 2013
Predictors and dynamics of postpartum relapses in women with multiple sclerosisStella E Hughes, Tim Spelman, Orla M Gray, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|September 28, 2022
Heterogeneity on long-term disability trajectories in patients with secondary progressive MS: a latent class analysis from Big MS Data networkAlessio Signori, Johannes Lorscheider, Sandra Vukusic, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|April 7, 2017
Long-term disability trajectories in primary progressive MS patients: A latent class growth analysisAlessio Signori, Guillermo Izquierdo, Alessandra Lugaresi, 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.
Journal of Neurology, Neurosurgery, and Psychiatry|December 6, 2024
Disease-modifying treatment and disability progression in subclasses of patients with primary progressive MS: results from the Big MS Data NetworkJohannes Lorscheider, Alessio Signori, Suvitha Subramaniam, et al.
Pageof 35