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3. Contributors

4. Ecological momentary assessment of depressive symptoms using the mind.me application: Convergence with the Patient Health Questionnaire-9 (PHQ-9)

5. Corrigendum to “Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review.” J Affect Disord. 241 (2018) 519-532

6. The utility of smartphone-based, ecological momentary assessment for depressive symptoms

10. 95 A Comparison of the Developmental Profiles of Individuals with Hemiplegic Cerebral Palsy associated with Middle Cerebral Artery and Periventricular Venous Infarctions

15. Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review

16. Serum metabolic profiling using small molecular water-soluble metabolites in individuals with schizophrenia: A longitudinal study using a pre-post-treatment design

18. Characterizing, Assessing, and Treating Cognitive Dysfunction in Major Depressive Disorder

23. Drug-drug interactions as a result of co-administering Δ9-THC and CBD with other psychotropic agents

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