Research on the severity of symptoms in children with ASD based on integrated machine learning and structural equation modeling: age-specific predictive features and mediation effect path analysis

• by Shimei Lu, Liangqiong Deng, Daoqing Gong, Xinyi Jia, Xiya Lang, Lianghui Diao, Liqin Ma, Pingjing Wen

• June 17, 2026

“Do It by Myself” or Autonomy, Participation, and Assistive Devices and Technology Needs of Children and Youth With Disabilities: Text Mining Analysis of a National Survey in France

• by Johanne Mensah Gourmel, Maxime Bourgain, Maxime Galloy, Mario Veruete, Gwenaël Cornec, Sylvain Brochard, Christelle Pons, Arriel Benis

• July 8, 2026

Autism Spectrum Disorder Linked to Distinct Urine Metabolite Pattern

Researchers proposed a new autism spectrum disorder phenotype characterized by elevated urinary microbially derived metabolites.

• by Kathryn Wighton

• July 14, 2026

• 5 min

Psychiatric and neurological predictors of early ADHD medication discontinuation across the lifespan: a multinational study

• by Isabell Brikell, Aske Astrup, Theresa Wimberley, Masako Araki, Zheng Chang, Ditte Demontis, Zihan Dong, Stephen V Faraone, Le Gao, Malcolm B Gillies, Jan Haavik, Catharina Hartman, Henrik Larsson, Kenneth K C Man, Sallie-Anne Pearson, Harold Snieder, Melissa Vos, Ian C K Wong, Honghui Yao, Andrew SC Yuen, Yanli Zhang-James, Yiling Zhou, Helga Zoega, Anders Engeland, Søren Dalsgaard, Kari Klungsøyr

• July 2, 2026