Environmental Health

Dietary nutritional strategies for circadian rhythm regulation: advances, challenges and future directions.

The escalation of urban light pollution and the trend toward a globalized lifestyle have led to a notable increase in circadian rhythm disruption (CRD), which is emerging as a concealed epidemic in contemporary society. Dietary nutritional strategies (DNS) that optimize meal timing, dietary structure, and nutrient composition show promising potential for regulating CR and improving metabolic healt...

Risk-Guided Atrial Fibrillation Screening With Artificial Intelligence-Enabled Electrocardiogram Models: A VITAL-AF Trial Analysis.

BACKGROUND: Screening for atrial fibrillation (AF) may lead to earlier detection and initiation of preventive measures. Current AF screening approaches using a guideline age-based threshold of ≥65 years have shown limited yield. OBJECTIVES: In an AF screening trial, we assessed whether the screening effect was larger among individuals at elevated AF risk using validated clinical and electrocardiog...

A natural defense against particulate matter 10 (PM10): Network pharmacology-based insights into the protective effects of Chrysanthemum zawadskii var. latilobum against PM10-induced lung inflammation.

Airborne particulate matter 10 (PM10) induces lung inflammation. However, interventions remain limited. We evaluated the protective effects of Chrysan...

Interpretable machine learning reveals regional heterogeneity and key environmental drivers of BOD5 in complex river networks.

Accurate prediction of Biochemical oxygen demand (BOD5) can substantially reduce the labor-intensive monitoring required to assess organic pollution i...

A-Site Cation Functional Engineering Enables Lead-free Perovskite Photosynapse for Neuromorphic Visual Computing.

Optoelectronic synapses that directly couple light sensing with memory and computing functions offer a promising route toward energy-efficient neuromo...

Long-Term Exposure to Fine Particulate Matter and Kidney Function among Patients with Polycystic Kidney Disease.

BACKGROUND: Polycystic kidney disease (PKD) is the fourth leading cause of end-stage kidney disease. Although the condition is primarily genetic, envi...

Explanatory Machine Learning Model to Associate All-Cause Mortality with PM2.5 by Sources and Components: A Nationwide Difference-in-Differences Study.

Background: Long-term PM2.5 exposure is a major health risk, yet the heterogeneity of its chemical components and sources is often overlooked in risk ...

A GeoML-XAI framework for identifying high PM2.5 areas and source attribution: Application to an agricultural environment.

Air pollution remains a major environmental health concern, with fine particulate matter (PM2.5) posing significant risks to human health. Although em...

Automated Imaging Differentiation for Dementia: Including Alzheimer Disease Dementia and Dementia with Lewy Bodies.

BACKGROUND AND OBJECTIVES: Differentiation of Alzheimer's disease dementia (ADD) and dementia with Lewy bodies (DLB) remains a challenge. Free-water i...

Prediction of premature rupture of fetal membranes using deep learning in East China.

If premature rupture of fetal membranes (PROM) can be forecasted, doctors can formulate individualized medical treatment plans and optimize the utiliz...

Forecasting toxic metal concentrations in an inland sea ecosystem with machine learning algorithms.

In recent years, statistical and data-driven modeling approaches have been increasingly employed to predict element concentrations and to examine rela...

Construction and optimization of machine learning models based on remote sensing inversion of NH3-N and TP pollution in the Qiantang River Basin, China.

Rapid industrialization, urbanization, and intensive agriculture have worsened river basin water pollution globally, including in China. Traditional w...

[Expert consensus on optimizing the multidisciplinary clinical pathways and management models for pulmonary function testing].

The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary success;however, numerous deficiencies persist in ...

Regional economy, physical environment and self-rated health among older adults in China: Evidence from XGBoost and SHAP.

Although the effects of the regional economy and physical environment on self-rated health among older adults in China have been widely recognized, th...

Deep learning-based classification of nitrate and nitrite concentrations from water samples using colorimetric test strip images.

Accurate monitoring of nitrate and nitrite concentrations in water is essential for sustainable agriculture, safeguarding public health, and protectin...

Heavy metal exposure and dental caries in children and adolescents: a NHANES-based analysis integrating machine learning approaches.

BACKGROUND: Dental caries remains a major public health concern among children and adolescents. While established risk factors such as diet and oral h...

Disclosing microbial nitrogen metabolism in groundwater via automated machine learning-based analysis: A fluorescence information-based approach.

Microbial nitrogen metabolism represents a complex and pivotal process underpinning nitrogen pollution in groundwater. Nonetheless, its accurate predi...

Integrated machine learning and experimental validation reveal S6K2 as a key target of 6PPD-quinone in bladder cancer.

Tire and Road Wear Particles (TRWP) are pervasive environmental contaminants, yet the molecular mechanisms linking their toxic derivative, 6PPD-quinon...

Predicting blood levels of mercury and selenium in Amazonian riverines: A machine learning approach based on questionnaire data.

This study aims to develop and evaluate machine learning models to predict blood levels of mercury and selenium in Brazilian riverines. Blood samples ...

Differentiating long QT syndrome genotypes using electrocardiographic geometric parameterization and machine learning approaches.

Long QT Syndrome (LQTS) is an inherited cardiac disorder characterized by dysfunctional cardiac ion channels, which result in prolonged QT intervals o...