Rule-Out Test for Autism Using Machine-Learning Analysis of Molecular Temporal Dynamics in Hair - A Multicenter Study

    November 2025
    Vishal Midya, Ghalib Bello, Louis Gomez, Manuel Ruiz Marín, Sujeewa C. Piyankarage, Suzy Elhlou, Jyoti Chumber, Juliet Jaramilo, Sophie Dessalle, Maayan Yitshak‐Sade, Alejandra Cantoral, Rosalind J. Wright, Robert O. Wright, Shoji F. Nakayama, Deborah H. Bennett, Rebecca J. Schmidt, Sven Bölte, Manish Arora
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    TLDR A machine-learning test using hair can help detect autism early in infants.
    The study presents a machine-learning-based rule-out test for autism that analyzes molecular temporal dynamics in hair, allowing for the estimation of autism likelihood as early as 1 month after birth. This early detection method aims to facilitate timely intervention for young children with developmental support needs. The diagnostic aid is designed to assist clinicians in making early autism diagnoses, enhancing clinical workflows, and significantly reducing wait times for services.
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