Integrating Advanced Metabolomics and Machine Learning for Anti-Doping in Human Athletes.

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Bibliographic Details
Title: Integrating Advanced Metabolomics and Machine Learning for Anti-Doping in Human Athletes.
Authors: AbuHaweeleh MN; College of Medicine, QU Health, Qatar University, Doha P.O. Box 2713, Qatar., Hamdan A; College of Medicine, QU Health, Qatar University, Doha P.O. Box 2713, Qatar., Al-Essa J; Qatar Antidoping Agency, Doha P.O. Box 120, Qatar., Aljaal S; Qatar Antidoping Agency, Doha P.O. Box 120, Qatar., Al Saad N; Qatar Antidoping Agency, Doha P.O. Box 120, Qatar., Georgakopoulos C; Saudi Anti-Doping Laboratory, Department of Pathology and Laboratory Medicine (MC-1122), Ministry of National Guard Health Affairs, King Abdulaziz Medical City, Building 6419 Ar Rimaya, Unit 1, P.O. Box 22490, Riyadh 14611-2860, Saudi Arabia., Botre F; Department of Chemistry 'Ugo Schiff', University of Florence, 50139 Florence, Italy., Elrayess MA; College of Medicine, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.; Biomedical Research Center, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.
Source: Metabolites [Metabolites] 2025 Oct 27; Vol. 15 (11). Date of Electronic Publication: 2025 Oct 27.
Publication Type: Journal Article; Review
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101578790 Publication Model: Electronic Cited Medium: Print ISSN: 2218-1989 (Print) Linking ISSN: 22181989 NLM ISO Abbreviation: Metabolites Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2218-1989
DOI:10.3390/metabo15110696