Domestic Violence

Tetrapeptide inhibitors of BACE-1 revealed by combined data-driven screening and physics-based free-energy refinement.

Alzheimer's disease remains a major global health challenge, and β-site amyloid precursor protein cleaving enzyme 1 (BACE-1) represents a critical therapeutic target as it catalyzes the rate-limiting step in amyloid-β production. While computational studies have extensively explored small-molecule BACE-1 inhibitors, large-scale screening combined with physics-based refinement has rarely been appli...

Operationalizing AI-Assisted Polypharmacy Review in Post-Acute and Long-Term Care: A 4Ms-Based, NP-Led Workflow.

Polypharmacy in post-acute and long-term care (PA/LTC) is common and is associated with falls, delirium, hospitalization, functional decline, and mortality. In these settings, clinicians must identify drug-drug interactions (DDIs), potentially inappropriate medications (PIMs), renal dosing concerns, and medication contributors to new symptoms under time pressure and during frequent care transition...

Creative problem-solving and substance abuse prevention following an AI-enhanced life skills intervention in At-risk adolescents: A quasi-experimental study.

Adolescent substance use remains a critical public health concern, necessitating interventions that strengthen core life skills. Emerging evidence sug...

AI-assisted versus manual sustainability assessment of a high-throughput LC-MS/MS method for psychotropic and OTC drugs of abuse in human plasma.

A rapid, sensitive, and selective LC-MSMS method was developed and validated for the quantification of dextromethorphan (DXM), pseudoephedrine (PSE), ...

Explainable AI for employee turnover prediction: a SHAP-based intelligent analytics approach.

Employee turnover prediction is a critical challenge in human resource management. Existing studies emphasise predictive accuracy but generally treat ...

Artificial intelligence for sexual, reproductive and maternal health in Latin America and the Caribbean: a scoping review.

BACKGROUND: Artificial intelligence (AI) holds considerable promise for strengthening sexual, reproductive and maternal health (SRMH) by enhancing dia...

Artificial intelligence-enabled MRI surveillance of prostate cancer: integrating PRECISE v2, PI-QUAL, and longitudinal biomarkers-a narrative review.

Active surveillance (AS) is widely used for men with low-risk and selected favorable intermediate-risk prostate cancer, but pathways remain heterogene...

Rethinking cancer screening in Italy: equity, performance and innovation.

OBJECTIVES: To examine the current performance of cancer screening programs in Italy, evaluate the evolving regulatory and clinical guideline framewor...

Evolving role of biomarkers beyond prostate‑specific antigen in refining prostate cancer screening: From blood‑based tests to urinary and genetic markers (Review).

Prostate‑specific antigen (PSA) screening reduces prostate cancer (PCa) mortality but is limited by overdiagnosis and poor specificity for clinically ...

A study to measure the utility of an AI-enhanced reporting tool in assisting busy CCTA readers with REPORT generation (SMART-REPORT).

PURPOSE: This study aimed to determine if an integrated structured reporting (SR) tool incorporating results from artificial intelligence (AI) enabled...

Screening for tuberculosis in prisons: efficacy of a breath-based diagnostic approach in a high prevalence setting.

BACKGROUND: Tuberculosis (TB) remains a major health threat in prisons, where overcrowding and limited access to care facilitate transmission. We eval...

Benchmarking Zero-Shot Generative Pre-Trained Transformer-Based Multimodal Large Language Models for Pressure Injury Staging.

OBJECTIVE: To benchmark zero-shot generative pre-trained transformer (GPT)-based multimodal large language models (MLLMs) for pressure injury (PI) sta...

Development and validation of machine learning models for obstructive sleep apnea risk stratification in high-risk pregnant women.

BACKGROUND: Obstructive sleep apnea (OSA) affects approximately 15% of pregnancies and is associated with adverse maternal and fetal outcomes. Althoug...

Accelerated brain aging in Veterans with posttraumatic stress symptoms and mild traumatic brain injury.

Exposure to trauma and mild traumatic brain injury (mTBI), which often co-occur and can both trigger acute and chronic pathophysiological processes, h...

Evaluation of the Efficacy of Artificial Intelligence-Based Screening for Diabetic Retinopathy in a Predominantly Non-White Population.

OBJECTIVE: To evaluate the diagnostic accuracy of Luminetics Core, a Food and Drug Administration-cleared artificial intelligence-based screening syst...

Artificial Intelligence for Assessment and Feedback in Medical Education: Bibliometric Mapping Study and Thematic Evidence Map.

BACKGROUND: Artificial intelligence (AI), particularly generative AI and large language models, is increasingly used for assessment-related tasks in m...

A TabNet-SHAP framework with stability-weighted multi-method feature selection for muscle injury prediction in professional football.

Muscle injuries account for approximately 31% of all time-loss injuries in professional football, yet existing prediction models are constrained by sm...

ML-based electromyography signal analysis for assessing rehabilitation exercise execution quality.

Following lower limb trauma, performing orthopaedic rehabilitation exercises is a crucial factor in successful recovery. However, many patients find i...

Music-induced cortical plasticity: Protocol for a systematic review.

Music engages sensory, motor, cognitive, and emotional systems, making it a powerful model for studying experience-dependent neuroplasticity. Although...

HyperDC: A Non-Uniform Hypergraph Framework for Dual- and Higher-Order Drug Combination Recommendation Across Diverse Complex Diseases.

Complex diseases are commonly characterized by dysregulation across multiple targets and pathways, making drug combinations an important therapeutic s...