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

Journal: Metabolites
Published Date: May 16, 2025

Abstract

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 approaches.

Authors

  • Shula Shazman
    Department of Mathematics and Computer Science, The Open University of Israel, Raanana 4353701, Israel.
  • Julie Carmel
    Azrieli Faculty of Medicine, Bar Ilan University, Safed 1311502, Israel.
  • Maxim Itkin
    Metabolic Profiling Unit, Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot 7610001, Israel.
  • Sergey Malitsky
    Metabolic Profiling Unit, Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot 7610001, Israel.
  • Monia Shalan
    Ziv Medical Center, Safed 1311502, Israel.
  • Eyal Soreq
    Department of Brain Science, Faculty of Medicine, Imperial College London, London SW3 6LY, UK.
  • Evan Elliott
    Azrieli Faculty of Medicine, Bar Ilan University, Safed 1311502, Israel.
  • Maya Lebow
    ANeustart, Ltd., Rishon LeZion 7526088, Israel.
  • Yael Kuperman
    ANeustart, Ltd., Rishon LeZion 7526088, Israel.

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