Bipolar Disorder

Use and Performance of Language-based Artificial Intelligence (AI) Models to Screen for Depressive Disorders.

Attention-based Multimodal Spatiotemporal Enhanced Interaction Network For Major Depressive Disorder Detection.

Although deep learning models have shown promising results in detecting major depressive disorder (MDD), two main limitations remain: insufficient exploitation of interactive information across multimodal brain networks and a lack of adaptive mechanisms for capturing crucial spatiotemporal dependencies among brain regions. To address these challenges, we propose the Attention-based Multimodal Spat...

Can epilepsy be predicted after the first febrile seizure? Insights from machine learning of postictal EEG.

OBJECTIVE: Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS...

Development of a risk prediction model for second primary thyroid cancer in female breast cancer patients based on machine learning algorithms.

Female breast cancer patients remain at risk of developing additional primary cancers even following surgical treatment. Second primary thyroid cancer...

The impact of childhood trauma on brain structural connectivity in adolescent major depressive disorder: A graph-based analysis.

BACKGROUND: Childhood trauma (CT) significantly increases vulnerability to adolescent major depressive disorder (MDD), yet the underlying neurobiologi...

Machine learning reveals two neuroanatomical subtypes of adolescent depression with distinct white matter, functional, and cognitive profiles.

BACKGROUND: Major depressive disorder (MDD) is a clinically and neurobiologically heterogeneous disorder typically emerging in adolescence. Delineatin...

From interfacial stabilization to maintainable operation: fouling-resilient synthetic urine valorization by bipolar membrane electrodialysis.

Bipolar membrane electrodialysis (BMED) is a promising route for urine valorization, yet practical deployment is constrained by organic-inorganic syne...

Autonomous sampling and SHAP interpretation of deposition-rates in bipolar HiPIMS.

High-power impulse magnetron sputtering (HiPIMS) offers considerable control over ion energy and flux, making it invaluable for tailoring the microstr...

Catalyst screening for electrochemical ammonia synthesis: a critical review.

Ammonia (NH3) is a promising carbon-free energy carrier, and its synthesis is a key process in the chemical industry. While the Haber-Bosch process re...

Hyper-scanning and hyper-pursuit define eye movement biomarkers of anxiety disorders.

BACKGROUND: Anxiety disorders are highly prevalent yet lack objective biomarkers. Whereas threat-related attentional biases are well documented, less ...

Early postpartum psychosocial profiles predict parenting maladjustment at 1 year.

Parenting difficulties during the first postpartum year are a public health concern. Early screening mainly uses depressive-symptom measures such as t...

Increasing value in the Veterans Affairs Healthcare System (VA) with precision health: a continuing landmark collaboration with the Department of Energy.

OBJECTIVE: Phase II of MVP-CHAMPION, a federal collaboration between the Veterans Affairs Healthcare System (VA) and the Department of Energy (DoE), l...

Integrative multi-kingdom gut microbiome analysis uncovers clinical signatures of major depressive disorder.

BACKGROUND: Accumulating evidence indicates that gut microbiome is significantly altered in major depressive disorder (MDD). However, most studies hav...

Leveraging machine learning and experimental screening of sulfur sources to mediate interlayer engineering of Li4Ti5O12 ion sieves.

Lithium ion sieves are promising materials for lithium extraction from liquids, but achieving high adsorption remains challenging. In this study, mach...

Solvent-Anion Counterpoised Electrolyte Enables High-Rate Magnesium Metal Batteries.

Magnesium batteries are compelling post-lithium energy storage candidates but suffer from sluggish charge transfer kinetics, fundamentally restricted ...

Graph theory reveals functional connectome disruptions in adolescent major depressive disorder with childhood trauma.

BACKGROUND: Childhood trauma (CT) is a major risk factor for adolescent major depressive disorder (MDD), yet its neurobiological underpinnings and lon...

Abnormal dynamics of brain networks in bipolar disorder: a dynamic degree centrality and imaging-transcriptomic investigation.

Boon or a bane: Different usage of LLM correlates with mental health.

BACKGROUND: While large language models (LLMs) are increasingly integrated into daily life, the relationship between purpose-specific usage and mental...

Comprehensive integrative analysis of Exosome-associated genes in major depressive disorder: Diagnostic biomarker discovery, immune modulation, and therapeutic implications.

OBJECTIVE: This study systematically analyzed the expression profiles of exosome-associated genes in Major Depressive Disorder (MDD), constructed diag...

Early-stage anomaly discrimination in lithium-ion batteries using internal pressure-temperature coupling and multi-source data fusion.

Thermal runaway is one of the most critical safety risks in lithium-ion batteries. Mitigating this risk requires not only detecting imminent failures ...