Bipolar Disorder

An explainable machine learning model for predicting depressive symptoms among Chinese older adults with chronic diseases.

Towards the development of a management protocol for subjective cognitive decline: Insights from a cross-sectional and longitudinal analysis of multimodal data from a memory clinic.

BackgroundSubjective cognitive decline (SCD) represents the first early symptomatic stage of Alzheimer's disease (AD).ObjectiveWe aimed to investigate the relationships between features in SCD and to assess the importance of these features in the future development of dementia to inform a targeted management protocol.Methods440 SCD patients underwent neurological and neuropsychological assessments...

Revealing Local Structures through Machine-Learning-Fused Multimodal Spectroscopy.

Atomistic structures of materials offer valuable insights into their functionality. Determining these structures remains a fundamental challenge in ma...

Development and external validation of a diagnostic model for differentiating major depressive disorder from bipolar disorder.

Machine learning and SHAP-based interpretation of dietary antioxidants' impact on comorbid MDD and suicidal ideation.

OBJECTIVE: To develop and validate a machine learning model for predicting major depressive disorder (MDD) with suicidal ideation (SI) by incorporatin...

Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated study.

Major Depressive Disorder (MDD) is one of the most prevalent psychological disorders and frequently co-occurs with alcohol use disorders, increasing t...

Designing with Li2S in Lithium-Sulfur Batteries: From Fundamental Chemistry to Practical Architectures.

Lithium-sulfur (Li-S) batteries deliver gravimetric energy densities considerably higher than those of conventional lithium-ion systems while relying ...

Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working Group.

BACKGROUND: Bipolar disorder (BD) is associated with clinical and biological markers of premature aging. In this largest study of brain age in BD to d...

Engineering Electronic Radial Effects for Fast Li+ Transport in Solid-State Electrolytes.

Achieving high Li+ conductivity, near-unity transference numbers, and stable interfaces in solid-state electrolytes remains a major challenge for lith...

Prediction of 12-Week Remission in Patients With Depressive Disorder Using Reasoning-Based Large Language Models: Model Development and Validation Study.

BACKGROUND: Depressive disorder affects over 300 million people globally, with only 30% to 40% of patients achieving remission with initial antidepres...

A Multimodal Neuro-Demographic Signature for Immuno-Metabolic Depression.

BACKGROUND: The underlying neurobiology of a recently described immuno-metabolic depression (IMD) subtype of major depressive disorder (MDD), characte...

Electric Vehicle Batteries Recycling: A Review.

The rapid growth of electric vehicles has created an urgent need for practical end-of-life lithium-ion battery recycling systems that are technically ...

Syntactic complexity of written text as a structural linguistic marker of depressive symptoms.

BACKGROUND: Language analysis methods have been increasingly explored for the detection of depressive symptoms. However, current approaches have large...

Psychiatric Documentation and Management in Primary Care With Artificial Intelligence Scribe Use.

IMPORTANCE: Despite increasingly widespread use of artificial intelligence (AI)-driven ambient scribes in medicine, the extent to which they are assoc...

Detecting faulty lithium-ion cells in large-scale parallel battery packs using current distributions.

One of the main concerns affecting the uptake of battery packs is safety, particularly with respect to fires caused by cell faults. Mitigating possibl...

Search for active and inactive ion insertion sites in organic crystalline materials.

The position of mobile active and inactive ions, specifically ion insertion sites, within organic crystals, significantly affects the properties of or...

Leveraging an AI-Driven Voice Companion to Enhance Mental Health in Older Adults in Post-Acute and Long-Term Care Settings: A Feasibility Study.

Loneliness, depression, and anxiety are prevalent among older adults in post-acute and long-term care settings and are associated with adverse health ...

Microbiota-metabolome interplay in depression: Metabolic insights and diagnostic potential.

Mounting evidence highlights the interplay between gut microbiota, metabolism, and depression. In this study, we analyze fecal and serum metabolomes i...

GIN-transformer based pairwise graph contrastive learning framework.

Resting-state functional magnetic resonance imaging (rs-fMRI) provides critical biomarkers for diagnosing neuropsychiatric disorders such as autism sp...

Insights into the interplay between stroke and depression through lipid metabolism-related diagnostic genes.

Stroke, a result of acute cerebrovascular disease that causes cerebral dysfunction, often coexists with depression or even major depressive disorder (...