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Multiple Sclerosis and Related Disorders
|
December 5, 2020
Multiple Sclerosis Data Alliance - A global multi-stakeholder collaboration to scale-up real world data research
Liesbet M Peeters, Tina Parciak, Dipak Kalra, et al.
Science (New York, N.Y.)
|
February 13, 2025
KLF2 maintains lineage fidelity and suppresses CD8 T cell exhaustion during acute LCMV infection
Eric Fagerberg, John Attanasio, Christine Dien, 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.
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.
Multiple Sclerosis and Related Disorders
|
August 2, 2022
Severity of COVID19 infection among patients with multiple sclerosis treated with interferon-β
Steve Simpson-Yap, Ashkan Pirmani, Edward De Brouwer, et al.
Neurology
|
October 6, 2021
Associations of Disease-Modifying Therapies With COVID-19 Severity in Multiple Sclerosis
Steve Simpson-Yap, Edward De Brouwer, Tomas Kalincik, et al.
Neurology(R) Neuroimmunology & Neuroinflammation
|
August 29, 2022
Updated Results of the COVID-19 in MS Global Data Sharing Initiative: Anti-CD20 and Other Risk Factors Associated With COVID-19 Severity
Steve Simpson-Yap, Ashkan Pirmani, Tomas Kalincik, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
July 15, 2020
COVID-19 in people with multiple sclerosis: A global data sharing initiative
Liesbet M Peeters, Tina Parciak, Clare Walton, et al.
PLOS Digital Health
|
July 25, 2024
Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study
Edward De Brouwer, Thijs Becker, Lorin Werthen-Brabants, et al.
NPJ Digital Medicine
|
July 24, 2025
Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data
Ashkan Pirmani, Edward De Brouwer, Ádám Arany, et al.
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Showing results (11-20 of 20) with videos related to
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Page
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You have reached the last page of results.
This site can display upto 20 results.
Multiple Sclerosis and Related Disorders
|
December 5, 2020
Multiple Sclerosis Data Alliance - A global multi-stakeholder collaboration to scale-up real world data research
Liesbet M Peeters, Tina Parciak, Dipak Kalra, et al.
Science (New York, N.Y.)
|
February 13, 2025
KLF2 maintains lineage fidelity and suppresses CD8 T cell exhaustion during acute LCMV infection
Eric Fagerberg, John Attanasio, Christine Dien, 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.
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.
Multiple Sclerosis and Related Disorders
|
August 2, 2022
Severity of COVID19 infection among patients with multiple sclerosis treated with interferon-β
Steve Simpson-Yap, Ashkan Pirmani, Edward De Brouwer, et al.
Neurology
|
October 6, 2021
Associations of Disease-Modifying Therapies With COVID-19 Severity in Multiple Sclerosis
Steve Simpson-Yap, Edward De Brouwer, Tomas Kalincik, et al.
Neurology(R) Neuroimmunology & Neuroinflammation
|
August 29, 2022
Updated Results of the COVID-19 in MS Global Data Sharing Initiative: Anti-CD20 and Other Risk Factors Associated With COVID-19 Severity
Steve Simpson-Yap, Ashkan Pirmani, Tomas Kalincik, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
July 15, 2020
COVID-19 in people with multiple sclerosis: A global data sharing initiative
Liesbet M Peeters, Tina Parciak, Clare Walton, et al.
PLOS Digital Health
|
July 25, 2024
Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study
Edward De Brouwer, Thijs Becker, Lorin Werthen-Brabants, et al.
NPJ Digital Medicine
|
July 24, 2025
Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data
Ashkan Pirmani, Edward De Brouwer, Ádám Arany, et al.
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of 2