Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study.

ABSTRACT:

Background

Early intervention can improve autism-related outcomes. However, no valid biosignature test exists yet for detecting or excluding autism. In addition, most behavior-based assessments of autism are developed for children aged 18 months and older. We developed a hair-strand-based biomarker test (diagnostic aid) to assist clinicians in ruling out autism in children aged 1 month and older.

Methods

In a multi-national sample of 1697 (from California (two studies, n= 1112), New York City (n= 123), Sweden (n= 306), Japan (n= 110), and Mexico City (n= 46), with 97% below 21 years-of-age), autism was assessed using DSM-5 criteria for autism spectrum disorder or gold standard diagnostic instruments (ADOS-2 and/or ADI-R). A single hair-strand from children collected at 1 mon

SUBMITTER: Midya V 

PROVIDER: S-EPMC12668059 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature