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Riadh Gouider

Showing results (101-110 of 117) with videos related to

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JAMA Neurology|July 12, 2023
Comparative Effectiveness of Autologous Hematopoietic Stem Cell Transplant vs Fingolimod, Natalizumab, and Ocrelizumab in Highly Active Relapsing-Remitting Multiple SclerosisTomas Kalincik, Sifat Sharmin, Izanne Roos, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|April 17, 2023
Disability accrual in primary and secondary progressive multiple sclerosisSam Harding-Forrester, Izanne Roos, Ai-Lan Nguyen, 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.
International Journal of Public Health|July 17, 2025
Parkinson's Disease Database in the Middle East, North Africa, and South Asia CountriesHanan Khalil, Mujahed Shraim, Bayan Jaradat, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|February 21, 2023
Comparative effectiveness in multiple sclerosis: A methodological comparisonIzanne Roos, Ibrahima Diouf, Sifat Sharmin, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|January 11, 2021
Determinants of therapeutic lag in multiple sclerosisIzanne Roos, Emmanuelle Leray, Federico Frascoli, et al.
CNS Drugs|April 4, 2026
Preserving Neurological Function in People at High and Low Risk of Aggressive Multiple Sclerosis: An Observational Cohort StudyIzanne Roos, Sifat Sharmin, Serkan Ozakbas, et al.
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.
Pageof 12

Showing results (101-110 of 117) with videos related to

Sort By:
Pageof 12
JAMA Neurology|July 12, 2023
Comparative Effectiveness of Autologous Hematopoietic Stem Cell Transplant vs Fingolimod, Natalizumab, and Ocrelizumab in Highly Active Relapsing-Remitting Multiple SclerosisTomas Kalincik, Sifat Sharmin, Izanne Roos, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|April 17, 2023
Disability accrual in primary and secondary progressive multiple sclerosisSam Harding-Forrester, Izanne Roos, Ai-Lan Nguyen, 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.
International Journal of Public Health|July 17, 2025
Parkinson's Disease Database in the Middle East, North Africa, and South Asia CountriesHanan Khalil, Mujahed Shraim, Bayan Jaradat, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|February 21, 2023
Comparative effectiveness in multiple sclerosis: A methodological comparisonIzanne Roos, Ibrahima Diouf, Sifat Sharmin, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|January 11, 2021
Determinants of therapeutic lag in multiple sclerosisIzanne Roos, Emmanuelle Leray, Federico Frascoli, et al.
CNS Drugs|April 4, 2026
Preserving Neurological Function in People at High and Low Risk of Aggressive Multiple Sclerosis: An Observational Cohort StudyIzanne Roos, Sifat Sharmin, Serkan Ozakbas, et al.
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.
Pageof 12