Research progress on explicit digital biomarkers of autism spectrum disorder

CHEN Yuxi; DAI Ying

doi:10.11852/zgetbjzz2025-0613

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Chinese Journal of Child Health Care ›› 2026, Vol. 34 ›› Issue (3) : 319-323. DOI: 10.11852/zgetbjzz2025-0613

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Research progress on explicit digital biomarkers of autism spectrum disorder

CHEN Yuxi, DAI Ying

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Abstract

The diagnosis of autism spectrum disorder (ASD) primarily relies on clinical observation and scale assessments, which are subjective and have limitations.Therefore, there is an urgent need for objective and quantifiable biomarkers to assist in early identification.As a new direction in ASD research, explicit digital biomarkers mainly include movement patterns, eye movements, and facial expression characteristics.By collecting data through smart terminal devices and analyzing it with machine learning algorithms, high-precision identification of ASD can be achieved.This article reviews the research progress of explicit digital biomarkers, providing new insights for early screening, diagnosis, and precise intervention of ASD, which will help optimize clinical screening and diagnostic tools and promote the development of personalized treatment.

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autism spectrum disorder / explicit digital biomarkers / movement patterns / eye movement / facial expression

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CHEN Yuxi, DAI Ying. Research progress on explicit digital biomarkers of autism spectrum disorder[J]. Chinese Journal of Child Health Care. 2026, 34(3): 319-323 https://doi.org/10.11852/zgetbjzz2025-0613

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