Bipolar Disorder

A Decision Support System for Major Depressive Disorder Detection Using EMD and CNN-BiLSTM-Based Analysis of Human Voice.

Major depressive disorder (MDD) is a serious mental health disorder that is understood to affect an individual's speech signals, including observed variations in acoustic, prosodic, and laryngeal characteristics of a person's speech. There is a need for noninvasive, objective, and automated diagnostic methods for the diagnosis of depression. In this study, after applying the Empirical Mode Decompo...

Development and Evaluation of Individualized Music Therapy for Common Mental Disorders: Protocol for a Multistage Study.

BACKGROUND: Pharmacotherapy for common mental disorders is frequently limited by adverse events and suboptimal adherence. While music therapy offers a promising nonpharmacological alternative, its clinical utility is currently constrained by limited accessibility, inconsistent efficacy, and a lack of mechanistic clarity. OBJECTIVE: This study aims to describe the development of individualized (rec...

Global evolution of adolescent idiopathic scoliosis research (1990-2025): a bibliometric and visualization analysis.

PURPOSE: Adolescent idiopathic scoliosis (AIS) is the most common spinal deformity affecting adolescents, yet comprehensive analysis of global researc...

Machine learning reveals a multimodal, transdiagnostic signature of emotion dysregulation vulnerability across patients, offspring, and controls.

Emotion dysregulation (ED) is a core transdiagnostic feature of several psychiatric disorders, including borderline personality disorder, bipolar diso...

Identifying cluster profiles based on barriers and facilitators to physical activity during COVID-19 confinement: A cross-sectional study using machine learning analysis.

Social restrictions, such as confinement periods, tend to reduce physical activity (PA) levels. However, sociodemographic factors may influence specif...

Imaging features of affective and non-affective psychosis.

Affective and non-affective psychoses exhibit heterogeneous clinical presentation, neurobiological underpinnings, and treatment response. This special...

Mapping Depression Correlated Amygdala Communication.

The amygdala is a central hub for emotional processing, whose interactions with large-scale brain networks have been implicated in the pathophysiology...

Multimodal deep learning for detecting current depressive symptom status using wearable time-series data and structural brain MRI in high-risk occupational groups.

In high-risk occupational groups, current mental health status may be underreported because of stigma or concerns about disadvantage. Wearable data ca...

The effectiveness of adding on or switching antiseizure medications after the first fails to control focal epilepsy: A systematic review of randomized controlled trials.

Focal epilepsy constitutes 60-70% of epilepsy, and up to half of patients do not achieve seizure freedom with their first antiseizure medication (ASM)...

Biodegradable and bioresorbable rechargeable batteries: chemistries, AI-driven material discovery, and emerging applications.

Biodegradable and bioresorbable rechargeable batteries are emerging as key enabling technologies for transforming the manner in which electronic syste...

Digital doppelgangers in psychiatry.

Digital doppelgangers are individualized, continuously updated digital representations of a person constructed from behavioral, physiological, and con...

SEI chemistry enlightened by liquid Madelung potential analysis and MLFF-MD simulation.

Lithium metal batteries offer exceptionally high energy density but their use is fundamentally limited by the high reactivity of lithium metal, which ...

Gut Microbiome in Depression with and without REM Sleep Behavior Disorder.

Major depressive disorder (MDD) is a risk factor for neurodegeneration, yet its heterogeneity makes identifying at-risk subtype challenging. Notably, ...

From Lab to Fab: Path Forward for Multi-Scale Design of Industrial Anion Exchange Membrane Electrolyzers.

Anion exchange membrane water electrolysis (AEMWE) has emerged as a pivotal pathway bridging laboratory-scale research to large-scale hydrogen product...

Identification and validation of an explainable screening model of college students' mental health with therapeutic strategy implications.

Mental health issues, especially depressive symptoms, among young adults represent a public health challenge. Conventional psychological assessment to...

Enhancing Psychiatry Training Using an Agentic AI Simulated Consultation Tool: Prospective Cohort Study.

BACKGROUND: Canadian psychiatry residents must demonstrate consultation competency, assessed using the standardized assessment of a clinical encounter...

Optimizing Treatment Strategies in the Bipolar Disorder Spectrum With Classical AI Approaches: Systematic Review of Performance, Bias, and Clinical Applicability.

BACKGROUND: Bipolar disorder (BD) is a complex and heterogeneous psychiatric condition, characterized by fluctuating clinical courses that affect appr...

Development and validation of a LightGBM based machine learning model for predicting postoperative erectile dysfunction after robot assisted radical prostatectomy: a multicenter cohort study.

Postoperative erectile dysfunction remains a highly debilitating complication following robot assisted radical prostatectomy for localized prostate ca...

Screening of shared molecular markers between cervical cancer and major depressive disorder and the mechanism of CRAT/CLIC4 regulating EMT in cervical cancer cells.

BACKGROUND: Cervical cancer (CC) ranks among the most prevalent malignant neoplasms affecting women worldwide. Tumor recurrence, distant metastases, a...

Development and temporal validation of a machine-learning based risk prediction model for depression in older adults with chewing difficulty: evidence from the KNHANES.

BACKGROUND: Depression in older adults is a multifactorial condition influenced by demographic, behavioral, and health-related factors. Oral functiona...