Last Posted: May 17, 2019
- A Waste of 1,000 Research Papers Decades of early research on the genetics of depression were built on non-existent foundations. How did that happen?
E Yong, The Atlantic, May 17, 2019 - Efficacy and cost-effectiveness of two online interventions for children and adolescents at risk for depression (E.motion trial): study protocol for a randomized controlled trial within the ProHEAD consortium.
Baldofski Sabrina et al. Trials 2019 Jan 20(1) 53 - Combining e-mental health intervention development with human computer interaction (HCI) design to enhance technology-facilitated recovery for people with depression and/or anxiety conditions: An integrative literature review.
Søgaard Neilsen Amalie et al. International journal of mental health nursing 2019 Feb 28(1) 22-39 - Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants.
Nogovitsyn Nikita et al. NeuroImage 2019 May - Anxiety and depression in children: Get the facts
CDC, 2019 - Getting to precision psychopharmacology: Combining clinical and genetic information to predict fat gain from aripiprazole.
Oughli H et al. Journal of psychiatric research 2019 Apr 11467-74 - On the utilization of polygenic risk scores for therapeutic targeting.
Gibson Greg, et al. PLoS genetics 2019 0 0. (4) e1008060 - Predicting persistent depressive symptoms in older adults: A machine learning approach to personalised mental healthcare.
Hatton Christopher M et al. Journal of affective disorders 2019 246857-860 - Genetic risk of major depressive disorder: the moderating and mediating effects of neuroticism and psychological resilience on clinical and self-reported depression.
Navrady L B et al. Psychological medicine 2018 48(11) 1890-1899 - Genetic counseling considerations with rapid genome-wide sequencing in a neonatal intensive care unit.
Smith Emma E et al. Journal of genetic counseling 2019 Apr 28(2) 263-272
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