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2. Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

3. Infections and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society

6. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

7. Urinary tract infections and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society

8. New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions

10. Immunization and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society

14. Historique de la sclérose en plaques

15. Immunologie de la sclérose en plaques

16. Épidémiologie, environnement et génétique dans la sclérose en plaques

17. Histoire naturelle de la sclérose en plaques

18. Inaugural tumor-like multiple sclerosis: clinical presentation and medium-term outcome in 87 patients

26. Impact of methodological choices in comparative effectiveness studies:application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

32. Improving the decision to switch from first to second-line therapy in MS: a dynamic scoring system

34. High dimensional single-cell profiling identifies NK-like CD8+T cells with high cytotoxic properties that are the reservoir of clonal cells related to disease activity in multiple sclerosis

35. Activated Tfh1 cells infiltrate the cerebrospinal fluid in early multiple sclerosis

36. Eur J Neurol

40. A prospective observational post-marketing study of natalizumab-treated multiple sclerosis patients: clinical, radiological and biological features and adverse events. The BIONAT cohort

41. Radiologically Isolated Syndrome: 10-Year Risk Estimate of a Clinical Event

42. Clinical Characteristics and Outcomes in Patients With Coronavirus Disease 2019 and Multiple Sclerosis

43. Clinical spectrum and prognostic value of CNS MOG autoimmunity in adults

46. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

47. SMILE: a predictive model for Scoring the severity of relapses in MultIple scLErosis

49. New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions

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