Urine Metabolomic Profiling and Machine Learning in Autism Spectrum Disorder Diagnosis: Toward Precision Treatment

Urine Metabolomic Profiling and Machine Learning in Autism Spectrum Disorder Diagnosis: Toward Precision Treatment

Background: Autism spectrum disorder (ASD) diagnosis traditionally relies on behavioral assessments, which can be subjective and often lead to delayed identification. Recent advances in metabolomics and machine learning offer promising alternatives for more objective and precise diagnostic approache...

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Bibliographic Details
Main Authors: Shula Shazman, Julie Carmel, Maxim Itkin, Sergey Malitsky, Monia Shalan, Eyal Soreq, Evan Elliott, Maya Lebow, Yael Kuperman
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Metabolites
Subjects:
autism spectrum disorder
metabolomics
urine metabolites
machine learning
diagnostic biomarkers
random forest
Online Access:https://www.mdpi.com/2218-1989/15/5/332
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