dc.contributor
Institut Català de la Salut
dc.contributor
Centre d’Esclerosi Múltiple de Catalunya (CEMCAT), Barcelona, Spain. Servei de Neurologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain
dc.contributor
Vall d'Hebron Barcelona Hospital Campus
dc.contributor.author
Comabella Lopez, Manuel
dc.contributor.author
TUR, CARMEN
dc.contributor.author
Arrambide, Georgina
dc.date.accessioned
2025-10-24T10:25:17Z
dc.date.available
2025-10-24T10:25:17Z
dc.date.issued
2025-01-07T08:20:42Z
dc.date.issued
2025-01-07T08:20:42Z
dc.date.issued
2024-10-18
dc.identifier
Arrambide G, Comabella M, Tur C. Big data and artificial intelligence applied to blood and CSF fluid biomarkers in multiple sclerosis. Front Immunol. 2024 Oct 18;15:1459502.
dc.identifier
https://hdl.handle.net/11351/12369
dc.identifier
10.3389/fimmu.2024.1459502
dc.identifier
001345289100001
dc.identifier.uri
https://hdl.handle.net/11351/12369
dc.description.abstract
Fluid biomarkers; Artificial intelligence; Multiple scleorsis
dc.description.abstract
Biomarcadores de fluidos; Inteligencia artificial; Esclerosis múltiple
dc.description.abstract
Biomarcadors de fluids; Intel·ligència artificial; Esclerosi múltiple
dc.description.abstract
Artificial intelligence (AI) has meant a turning point in data analysis, allowing predictions of unseen outcomes with precedented levels of accuracy. In multiple sclerosis (MS), a chronic inflammatory-demyelinating condition of the central nervous system with a complex pathogenesis and potentially devastating consequences, AI-based models have shown promising preliminary results, especially when using neuroimaging data as model input or predictor variables. The application of AI-based methodologies to serum/blood and CSF biomarkers has been less explored, according to the literature, despite its great potential. In this review, we aimed to investigate and summarise the recent advances in AI methods applied to body fluid biomarkers in MS, highlighting the key features of the most representative studies, while illustrating their limitations and future directions.
dc.description.abstract
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. CT is currently being funded by the Miguel Servet contract, awarded by the Instituto de Salud Carlos III (ISCIII), Spanish Ministry of Science and Innovation (award number: CP23/00117). She has also received research support from the ISCIII through the FORTALECE grant (FORT23/00034).
dc.format
application/pdf
dc.publisher
Frontiers Media
dc.relation
Frontiers in Immunology;15
dc.relation
https://doi.org/10.3389/fimmu.2024.1459502
dc.relation
info:eu-repo/grantAgreement/ES/PEICTI2021-2023/CP23%2F00117
dc.rights
Attribution 4.0 International
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Marcadors bioquímics
dc.subject
Líquid cefaloraquidi
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Intel·ligència artificial
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Esclerosi múltiple
dc.subject
Dades massives
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DISEASES::Nervous System Diseases::Autoimmune Diseases of the Nervous System::Demyelinating Autoimmune Diseases, CNS::Multiple Sclerosis
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CHEMICALS AND DRUGS::Biological Factors::Biomarkers
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PHENOMENA AND PROCESSES::Mathematical Concepts::Algorithms::Artificial Intelligence
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ANATOMY::Fluids and Secretions::Body Fluids::Extracellular Fluid::Cerebrospinal Fluid
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ANATOMY::Fluids and Secretions::Body Fluids::Blood
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INFORMATION SCIENCE::Information Science::Informatics::Medical Informatics::Medical Informatics Applications::Information Systems::Big Data
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ENFERMEDADES::enfermedades del sistema nervioso::enfermedades autoinmunitarias del sistema nervioso::enfermedades autoinmunes desmielinizantes del SNC::esclerosis múltiple
dc.subject
COMPUESTOS QUÍMICOS Y DROGAS::factores biológicos::biomarcadores
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FENÓMENOS Y PROCESOS::conceptos matemáticos::algoritmos::inteligencia artificial
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ANATOMÍA::líquidos y secreciones::líquidos corporales::líquido extracelular::líquido cefalorraquídeo
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ANATOMÍA::líquidos y secreciones::líquidos corporales::sangre
dc.subject
CIENCIA DE LA INFORMACIÓN::Ciencias de la información::informática::informática médica::aplicaciones de la informática médica::sistemas de información::macrodatos
dc.title
Big data and artificial intelligence applied to blood and CSF fluid biomarkers in multiple sclerosis
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
