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Data-driven hypothesis discovery from disease trajectories in multiple sclerosis

IntroductionMultiple sclerosis (MS) is an incurable autoimmune disease marked by heterogeneous progression and a lack of reliable biomarkers, complicating prognosis and individualized care. This study introduces a novel trajectory-based statistical approach designed to identify patterns in patient h...

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Principais autores: Niels Jodts, Lorin Werthen-Brabants, Sofie Aerts, Liesbet M. Peeters, Bart Van Wijmeersch, Charlotte Herzeel, Christel Meertens, Roel Wuyts, Tom Dhaene, Dirk Deschrijver
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2026-04-01
Series:Frontiers in Immunology
Assuntos:
clustering
data-driven
disease progression analysis
disease trajectories
hypothesis discovery
multiple sclerosis
Acceso en liña:https://www.frontiersin.org/articles/10.3389/fimmu.2026.1758416/full
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