Early developmental trajectory phenotypes for risk stratification of autism spectrum disorder in very preterm infants: a machine learning approach / Li-Wen CHEN in Molecular Autism, 17 (2026)  

Public ISBD [article]  inMolecular Autism > 17 (2026) Titre : Early developmental trajectory phenotypes for risk stratification of autism spectrum disorder in very preterm infants: a machine learning approach Type de document : texte imprimé Auteurs : Li-Wen CHEN, Auteur ; Yi-Tien LI, Auteur ; Chi-Hsiang CHU, Auteur ; Chin-Chin WU, Auteur ; Ching-Lin CHU, Auteur ; Lan-Wan WANG, Auteur ; Han-Yi TSAI, Auteur ; Chung-Hsin CHIANG, Auteur ; Chao-Ching HUANG, Auteur Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Very preterm infants are at elevated risk for autism spectrum disorder (ASD), though early identification is challenging due to overlapping neurodevelopmental disorders. While the Bayley Scales of Infant and Toddler Development (BSID) is widely used for follow-up, it remains unclear whether domain-specific developmental trajectories—such as cognition, receptive and expressive communication, and fine and gross motor function assessed by the BSID, Third Edition (BSID-III)—can support the development of a prediction model for ASD risk by preschool age in this population. En ligne : https://doi.org/10.1186/s13229-025-00692-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=584 [article] Early developmental trajectory phenotypes for risk stratification of autism spectrum disorder in very preterm infants: a machine learning approach [texte imprimé] / Li-Wen CHEN, Auteur ; Yi-Tien LI, Auteur ; Chi-Hsiang CHU, Auteur ; Chin-Chin WU, Auteur ; Ching-Lin CHU, Auteur ; Lan-Wan WANG, Auteur ; Han-Yi TSAI, Auteur ; Chung-Hsin CHIANG, Auteur ; Chao-Ching HUANG, Auteur. Langues : Anglais (eng) in Molecular Autism > 17 (2026) Index. décimale : PER Périodiques Résumé : Very preterm infants are at elevated risk for autism spectrum disorder (ASD), though early identification is challenging due to overlapping neurodevelopmental disorders. While the Bayley Scales of Infant and Toddler Development (BSID) is widely used for follow-up, it remains unclear whether domain-specific developmental trajectories—such as cognition, receptive and expressive communication, and fine and gross motor function assessed by the BSID, Third Edition (BSID-III)—can support the development of a prediction model for ASD risk by preschool age in this population. En ligne : https://doi.org/10.1186/s13229-025-00692-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=584

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