Public Health & Policy

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 suggests that artificial intelligence (AI) can enhance learning processes; however, its application in substance use prevention remains underexplored. This study evaluated an AI-supported innovative learning program aimed at improving creative problem-s...

Compartment-specific host association and mobility shape ARG risk in aquaculture systems.

Antimicrobial resistance in aquaculture threatens environmental and public health, but the risk of ARGs cannot be inferred from abundance alone; host context and mobility potential are essential. Here, we investigated how ecological compartments shape ARG host background, mobility, and risk in aquaculture systems. We analyzed 437 metagenomes from water and sediment in freshwater and marine aquacul...

The Cyber Paranoia and Fear Scale-Updated (CPFS-U): development and implications for digital health engagement.

OBJECTIVES: To update and revalidate the Cyber Paranoia and Fear Scale to reflect current technological contexts and examine its relevance to digital ...

Identifying high-risk patient clusters for falls using unsupervised machine learning on linked primary and secondary care electronic health record data.

Falls risk is multifactorial, involving a combination of clinical and sociodemographic factors. Although guidelines acknowledge this complexity, most ...

A population-based retrospective machine learning study of COVID-19 severity using integrated clinical and viral genomic data in Jiangsu Province, China.

BACKGROUND: As coronavirus disease 2019 (COVID-19) has transitioned into an endemic phase characterized by sustained transmission and widespread hybri...

Multi-scale analysis of thermal forcing of heatwaves on cyanobacterial blooms in Lake Taihu: mechanisms, spatial heterogeneity, and future projections.

Rising water temperatures and intensifying lake heatwaves (LHWs) are increasingly recognized as important drivers of cyanobacterial harmful algal bloo...

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...

Tutorial: Using Random Forest Analysis to Identify Auxiliary Variables of Missing Data.

Missing data is a pervasive problem in research; prevention science is particularly vulnerable due to the study designs used and types of data collect...

Genomic insights into antimicrobial resistance and isolation source classification of Cronobacter sakazakii from infant and toddler food in the United States.

Cronobacter sakazakii is an opportunistic foodborne pathogen associated with severe infections in infants, linked to powdered infant formula (PIF) and...

Leveraging data-driven risk-adapted surveillance strategies after disease progression in locally advanced rectal cancer.

BACKGROUND: Post-progression survival (PPS) is a critical endpoint in oncology, yet predictors of PPS and data-driven strategies for post-progression ...

Life's essential 8 and its role in cardiovascular health: evolution, evidence, and future directions.

INTRODUCTION: Cardiovascular disease (CVD) remains the leading global cause of mortality. To advance prevention, the American Heart Association introd...

Processed meat intake and incident gout: Integrated evidence from epidemiology, plasma proteomics, and machine learning.

INTRODUCTION: Gout is a common metabolic inflammatory disorder whose incidence parallels modern dietary shifts. Although processed meat intake is link...

Segmentation of the parasagittal dura mater on multi-center 3D-FLAIR MRI.

The parasagittal dura (PSD), located bilaterally alongside the superior sagittal sinus (SSS), has been increasingly implicated in cerebrospinal fluid-...

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...

Integrating DNA methylation biomarkers for breast cancer risk prediction using artificial intelligence.

Breast cancer remains a major cause of morbidity and mortality among women worldwide, highlighting the necessity for predictive tools to identify at-r...

Hepatitis B virus spreading via Beddington-DeAngelis incidence function and feed-forward neural network with optimal control.

Using an appropriate mathematical model, this study aims to examine the transmission dynamics and optimal control of hepatitis B virus spreading, empl...

Artificial neural network modelling using complete blood count for the early detection of black lung disease among Indonesian coal miner: A retrospective longitudinal study.

BACKGROUND: Black lung disease remains a major occupational health problem among coal miners and is frequently diagnosed at an advanced stage, limitin...

Advancements in wearable technology for heart failure patients.

PURPOSE OF REVIEW: While pharmacologic and device therapies have improved heart failure care in recent decades, age-adjusted rehospitalization rates r...

Diagnostic challenges in re-emerging rickettsioses: why current tools fall short.

SUMMARYRickettsial diseases, encompassing scrub typhus, spotted fever group rickettsioses, and typhus group rickettsioses, represent a significant and...

Prediction of Clinically Significant Depressive Symptoms at 2-Year Follow-Up in Older Adults: Machine Learning Study Using the English Longitudinal Study of Ageing.

BACKGROUND: Depression in older adults is often underdiagnosed due to atypical symptom presentation and generational stigma, leading to delayed interv...