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Synapse
April 4, 2026Current Opinion in Neurology0 citations

Big data in multiple sclerosis

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MTMaria TrojanoPIPietro Iaffaldano

Key Points

  • The research aims to explore how big data can improve multiple sclerosis treatment and understanding of the disease.
  • Utilized big data techniques to analyze real-world evidence in multiple sclerosis.
  • Refined disease progression models using large datasets.
  • Developed prognostic tools based on comprehensive data analyses.
  • Enhanced real-world evidence supports better therapeutic decisions.
  • Improved models of disease progression lead to more accurate projections.
  • New prognostic tools offer personalized treatment insights.

Abstract

Big data approaches are transforming MS research and clinical practice by providing stronger RWE to guide therapeutic decision-making, refining models of disease progression, and developing more precise prognostic tools.

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Cite This Study

Trojano et al. (2026) studied this question.

synapsesocial.com/papers/69d0ae94659487ece0fa4735https://doi.org/10.1097/wco.0000000000001479
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