Last Posted: Jun 18, 2020
- Combinatorial PharmacogenomicTesting Improves Outcomes for Older Adults With Depression.
Forester Brent P et al. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry 2020 May - Implementation and evaluation of a nurse-led decision-coaching program for healthy breast cancer susceptibility gene (BRCA1/2) mutation carriers: a study protocol for the randomized controlled EDCP-BRCA study.
Isselhard A et al. Trials 2020 Jun 21(1) 501 - Male-female differences in quality of life and coping style in patients with Marfan syndrome and hereditary thoracic aortic diseases.
Thijssen Carlijn G E et al. Journal of genetic counseling 2020 Jun - Predictors of Fabry disease in patients with hypertrophic cardiomyopathy: How to guide the diagnostic strategy?
Azevedo Olga et al. American heart journal 2020 Apr 226114-126 - A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety
D Richards et al, NPJ Digital Medicine, June 15, 2020 - Grant Report on SCH: Personalized Depression Treatment Supported by Mobile Sensor Analytics.
Kamath Jayesh et al. Journal of psychiatry and brain science 2020 5 - Predicting the naturalistic course in anxiety disorders using clinical and biological markers: a machine learning approach.
Bokma Wicher A et al. Psychological medicine 2020 Jun 1-11 - Combinatorial Pharmacogenomic Algorithm is Predictive of Citalopram and Escitalopram Metabolism in Patients with Major Depressive Disorder.
Shelton Richard C et al. Psychiatry research 2020 May 290113017 - A machine learning approach predicts future risk to suicidal ideation from social media data.
Roy Arunima et al. NPJ digital medicine 2020 378 - Prediction of depression cases, incidence, and chronicity in a large occupational cohort using machine learning techniques: an analysis of the ELSA-Brasil study.
Librenza-Garcia Diego et al. Psychological medicine 2020 Jun 1-9
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