APS
2026 APS Annual Convention
Data-Driven and Computational Approaches for Improving the Characterisation and Treatment of Mental Disorders
Accurate assessment and intervention require modelling symptom interactions, temporal change patterns, and cross-domain couplings that underlie psychopathology. Across depression, anxiety, suicidality, and co-occurring disorders, speakers apply data-driven and computational techniques to refine clinical characterisation, enhance prediction, and reveal dynamic processes that can improve precision assessment and treatment.
Chairs & Discussants
- Omid V. EbrahimiChair
University of Oxford
Presentations
- Symptom-Specific Temporal Phenotyping of Citalopram In STAR*D TrialDaniel P. Moriarity
- Using Dynamic Data to Phenotype Co-Occurring Pain and Mental Health SymptomsMadelyn R. Frumkin
- Rethinking Clinical Assessment: Capturing Symptom Interactions to Improve Disorder Characterisation and ProgressionOmid V. Ebrahimi
- Future Directions for Mathematical, Computational, & Digital Methods In Suicide ResearchShirley B. Wang
