Nadine Parker and Ole Andreassen summarise a recent UK population-based cohort study, which looks at the impact of polygenic risk for schizophrenia on cardiac structure and function in over 32,000 people.
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Sarah Watts reviews a cluster randomised clinical trial investigating the effectiveness of stratified care compared to stepped care for depression, which has implications for IAPT services.
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Charlotte Walker explores an online ethnography study that explores how Twitter users discuss mental illness, particularly bipolar disorder, and in what context; focusing specifically on the areas of stigma and social support.
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Derek de Beurs explores a recent study that uses longitudinal clinical data and machine learning to predict suicide attempts in adolescents.
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Marcus Munafo explores a recent study that uses a machine learning approach across two trials (STARD*D and CO-MED) to try and predict treatment outcomes (primarily focusing on the antidepressant citalopram) for depression.
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