Preventing disease progression in multiple sclerosis-insights from large real-world cohorts

Preventing disease progression in multiple sclerosis-insights from large real-world cohorts

Multiple sclerosis is a chronic neuroinflammatory disease with a highly heterogeneous disease course. Preventing lasting disability requires early identification of persons at risk and novel approaches towards patient stratification for personalized treatment decisions. In this comment, we discuss t...

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Veröffentlicht in:Genome medicine 2022-04, Vol.14 (1), p.41-41, Article 41
Hauptverfasser: Engel, Sinah, Zipp, Frauke
Format: Artikel
Sprache:eng
Schlagworte:
Biomarkers
Biomarkers, Multi-omics, Patient stratification, Personalized treatment
Cognitive ability
Collaboration
Comment
Consortia
Datasets
Development and progression
Disease prevention
Disease Progression
Gene expression
Genomes
Health risk assessment
Humans
Immunotherapy
Inflammation
Magnetic resonance imaging
Medical research
Multiple sclerosis
Multiple Sclerosis - genetics
Nervous system
Ofatumumab
Patients
Prevention
Risk factors
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Beschreibung
Zusammenfassung:Multiple sclerosis is a chronic neuroinflammatory disease with a highly heterogeneous disease course. Preventing lasting disability requires early identification of persons at risk and novel approaches towards patient stratification for personalized treatment decisions. In this comment, we discuss the importance of large datasets of real-world cohorts in order to address this unmet need.
ISSN:1756-994X
1756-994X
DOI:10.1186/s13073-022-01044-8