Depression

Integrating 2.5D multi-modal CT imaging with serum triglycerides for early risk stratification in hypertriglyceridemia-induced acute pancreatitis: A multicenter study.

OBJECTIVES: To develop and externally validate a clinical-radiological framework that fuses 2.5D deep learning features from dual-phase computed tomography (CT) with serum triglyceride (TG) levels for early prediction of severe acute pancreatitis (SAP) in patients with hypertriglyceridemia-induced acute pancreatitis (HTGP). METHODS: In this multicenter retrospective study, 1,518 consecutive HTGP p...

Predicting a few or many friends in schoolchildren: a machine learning approach.

Machine learning algorithms were used to determine whether Peruvian 8-12-year-olds (N = 730) believe they have many or few friends based on sociodemographic and psychological variables. Theoretical variables were depression (PHQ-8), subjective well-being (SWB-3), sorrow, bullying, and birthplace. With stratified 10-fold cross-validation, the easyML R package examined six algorithms: Random Forest,...

Machine learning-based predictive model for sleep disorders in diabetic patients: data analysis from CHARLS.

Sleep disorders are prevalent and constitute a major concern in patients with diabetes mellitus. Therefore, the aim of this study was to investigate t...

A multiscale spatio-temporal convolutional attention network for depressive disorder diagnosis via coarse-grained signal reconstruction based on EEG.

Depression disorder (DD) is a common mental disorder and a leading contributor to the global burden of disease. However, accurate diagnosis remains ch...

AI chatbot interaction preceding a suicide attempt: A clinical case from Turkey.

Identification of depression types and key influencing factors among rural elderly in China: a comprehensive analysis based on machine learning and network analysis.

BACKGROUND: Depression poses a severe public health challenge for older adults, especially in rural China. In rural settings, the heavy burden of chro...

Neuroprotective effects of Chaihu-Longgu-Muli Decoction in an insomnia-depression comorbidity model via Galectin-3-dependent JAK2/STAT3 inhibition.

ETHNOPHARMACOLOGICAL RELEVANCE: Chaihu-Longgu-Muli Decoction (CLMD) is a classical Traditional Chinese Medicine (TCM) formula from the Shanghan Lun co...

Bridging the Disclosure Gap: AI's Potential Role in Suicide Prevention.

Conversational artificial intelligence (AI) tools-specifically, general-purpose large language models-are increasingly used by individuals to disclose...

Neuroimaging studies of non-suicidal self-injury in young adults with major depressive disorder.

Non-suicidal self-injury (NSSI) is highly prevalent in adolescents with major depressive disorder (MDD), elevating suicide risk and indicating poor pr...

Hypericum perforatum L.: a legacy of herbal medicine in light of modern scientific evidence.

ETHNOPHARMACOLOGICAL RELEVANCE: Hypericum perforatum L. has been used for centuries in traditional medicine, with core therapeutic applications includ...

Shared molecular signatures linking gastroesophageal reflux disease and major depressive disorder revealed by integrated machine learning.

BACKGROUND: Gastroesophageal reflux disease (GERD) and major depressive disorder (MDD) frequently co-occur, yet their shared molecular mechanisms rema...

Towards a rational ECT treatment approach for severe and treatment resistant schizophrenia using neuroimaging biomarkers: A focused review.

Treatment resistant schizophrenia (TRS) is a major challenge in psychiatry, and its management remains an unmet need. Given the relatively high preval...

Feasibility of diagnosing major depressive disorder with a panel of serum and urine biomarkers.

BACKGROUND: Various biomarkers have been identified as being associated with the pathophysiology of major depression, with the potential to be utilise...

Endometriosis and the mental health burden: a registry-based study of redeemed prescriptions and psychiatric hospital contacts before and after diagnosis of endometriosis.

STUDY QUESTION: Do women with endometriosis have a higher use of antidepressants and anxiolytics, and more frequent psychiatric hospital contacts due ...

Speech as a biomarker for supported diagnosis of major depressive disorder using self-supervised representations.

The diagnosis of major depressive disorder (MDD) urgently requires objective biomarkers for clinical translation. In this study, we established a mult...

Depression detection from multimodalities based on LeNet with hunter-geese optimization.

Depression is considered a psychological illness, and the effects of depression are persistent sadness, loss of interest, and severe depression, which...

Bioinspired Nanofluidic Memristors Based on Polyelectrolyte Conformation for Synaptic Learning and in-Memory Logic Computing.

Bioinspired neuromorphic and in-memory computing requires devices that store and process information through ionic dynamics analogous to biological sy...

Identification of Early Signs of Mental Health Disorders in Older Survivors of Cancer Using Patient-Generated Health Data: Observational Study.

BACKGROUND: Older survivors of cancer face heightened risk of depression and anxiety related to cancer experiences, fear of recurrence, and aging-rela...

Breaking Barriers in Student Mental Health Care With AI-Enhanced Group Cognitive Behavioral Therapy: Pilot Feasibility Study.

BACKGROUND: University students experience elevated psychological distress, with limited access to mental health services. While cognitive behavioral ...

Spontaneous oxycodone withdrawal alters behavior and oligodendrocyte-related gene expression in mice.

Negative affective signs are induced during withdrawal from acute opioid injection and increase in magnitude over repeated injections. Recent evidence...