SOURCE-LINKED INTELLIGENCE
Attention on inattention: Dissecting the causal mechanisms of adult ADHD features
estyle and COVID-19 pandemic on adult ADHD features across life stages and genders; (iii) develop and test a novel genomics-informed screening tool for more accurate ADHD detection in adults by using machine learning and genomics. The goals are achieved by innovatively combining three large-scale data layers: self-reported, electronic health records and genetic data. AT-TENSION aims to redefine our current conceptualization of adult ADHD and revolutionize mental health psychometrics by integrating genomics into screening tool development. mental health, adult ADHD, screening instruments, psychiatric epidemiology, psychiatric genomics, stress, COVID-19 pandemic, data science
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1499750
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.