896 papers found
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Ketamine and Esketamine augmentation for suicidal ideation: A randomized, double-blinded clinical trial
Deep feature extraction of single-cell transcriptomes by generative adversarial network
miR-323a regulates ERBB4 and is involved in depression
Cocaine-related DNA methylation in caudate neurons alters 3D chromatin structure of the IRXA gene cluster
Perinatal adversity profiles and suicide attempt in adolescence and young adulthood: longitudinal analyses from two 20-year birth cohort studies
Cannabis use, depression and suicidal ideation in adolescence: direction of associations in a population based cohort
Characterization of Vimentin-Immunoreactive Astrocytes in the Human Brain
Measuring Quality of Care Received by Suicide Attempters in the Emergency Department
Depression and social defeat stress are associated with inhibitory synaptic changes in the nucleus accumbens
Childhood-maltreatment subtypes in bipolar patients with suicidal behavior: systematic review and meta-analysis
Mental Health Problems and Risk of Suicidal Ideation and Attempts in Adolescents
A genetically informed study on the association of cannabis, alcohol, and tobacco smoking with suicide attempt
Neural and molecular correlates of psychological pain during major depression, and its link with suicidal ideas
Increased brain vitamin D receptor expression and decreased expression of cathelicidin antimicrobial peptide in individuals who died by suicide
Brazilian research on child and adolescent suicide: looking at the past to plan the future
Validation study of microRNAs previously associated with antidepressant response in older adults treated for late-life depression with venlafaxine
Differential ESR1 Promoter Methylation in the Peripheral Blood—Findings from the Women 40+ Healthy Aging Study
Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery
A Post-Mortem Investigation of Perivascular Oligodendrocyte Precursor Cells in the Prefrontal Cortex of Major Depressed Patients
Evaluating the Usability and Impact of an Artificial Intelligence-Powered Clinical Decision Support System for Depression Treatment
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