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Machine learning-driven blood biomarker profiling and EGCG intervention in fetal alcohol spectrum disorder

Crossref DOI link: https://doi.org/10.1016/j.ijchp.2025.100620

Published Print: 2025-07

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Ramos-Triguero, Anna

Navarro-Tapia, Elisabet https://orcid.org/0000-0002-0127-7365
Vieiros, Melina

Martínez, Leopoldo

García-Algar, Óscar

Andreu-Fernández, Vicente https://orcid.org/0000-0001-7183-8706
Funding

Funding for this research was provided by:

Mutua Madrileña Foundation (AP183662023)

European Commission (PI23/01220, PI21/01415, PI19/01853, RD24/0013/0019)

Carlos III Health Institute (RD21/0012/0017, PI23/01220, PI21/01415, RD24/0013/0019, PI19/01853)

NextGenerationEU

Departament de Recerca i Universitats, Generalitat de Catalunya
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Text and Data Mining valid from 2025-07-01

Text and Data Mining valid from 2025-07-01

Version of Record valid from 2025-08-20
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This article is maintained by: Elsevier

Article Title: Machine learning-driven blood biomarker profiling and EGCG intervention in fetal alcohol spectrum disorder

Journal Title: International Journal of Clinical and Health Psychology

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.ijchp.2025.100620

Content Type: article

Copyright: © 2025 The Authors. Published by Elsevier B.V.