AIMC Topic: Environmental Exposure

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Environment and CVD: moving from Risk Prediction to Risk Management.

Current atherosclerosis reports
PURPOSE OF REVIEW: We attempt to provide a framework for cardiovascular risk assessment related to environmental pollutants to enhance awareness of risk posed by environmental risk factors and highlight approaches for risk intervention.

Ambient PM Exposure Modeling in LMICs: An Example from Peru.

Current environmental health reports
PURPOSE OF REVIEW: Fine particulate matter (PM) poses a public health risk, disproportionately impacting low- and middle-income countries (LMICs). In Peru, where ambient concentrations in urban areas significantly exceed the World Health Organization...

What Drives Microplastic Exposure in Human Blood and Feces? Machine Learning Reveals Potential Key Influencing Factors.

Environmental science & technology
Microplastics are pervasive environmental pollutants, making human exposure unavoidable. Although previous studies have detected microplastics in human blood and feces, these investigations were limited by small sample sizes and key contributors to m...

The micro- and nanoplastics exposome feedback loop drives synergistic air-lung toxicity.

The Science of the total environment
Airborne micro- and nanoplastics (MNPs) are now recognized as persistent components of the atmospheric exposome. While their presence is established, their toxicological role remains incompletely understood. In this perspective, we propose the MNP Ex...

Thyroid Function Effects of Mixed Exposure to Urinary Trihalomethanes and Haloacetic Acids: Based on an Integrated Framework of Exposure Assessment, Qualitative Association, and Quantitative Attribution.

Environmental science & technology
Toxicological studies have demonstrated that disinfection byproducts (DBPs) can disrupt thyroid function; however, human epidemiological evidence remains limited. The existing studies focus on a limited number of compounds and lack detailed investiga...

Machine learning in ecotoxicology: Pollutant exposure levels and detection, biotoxicity and environmental behavior prediction.

The Science of the total environment
In recent years, the worsening problem of environmental pollution and the limitations of traditional toxicological assays have accelerated the adoption of machine learning (ML) in ecotoxicology. ML enables rapid and accurate prediction of pollutant e...

Machine learning prediction of STEMI incidence with SHAP interpretation of environmental determinants.

Scientific reports
ST-segment elevation myocardial infarction (STEMI) is a life-threatening cardiovascular event influenced by meteorological conditions and air pollution. Traditional statistical methods often fail to capture the complex, nonlinear relationships betwee...

Artificial Intelligence in Environment and Human Health: Progress, Opportunities and Challenges.

Current environmental health reports
The rapid advancement of artificial intelligence (AI) presents unprecedented opportunities and challenges for assessing planetary health, particularly in environmental health. As a key determinant of human well-being, the environment significantly in...

An interpretable machine learning model predicts the interactive and cumulative risks of different environmental chemical exposures on depression.

Translational psychiatry
Humans are exposed to a multitude of environmental chemical mixtures (ECMs) in daily life that may influence depression risk. While prior studies have shown individual ECM exposures to depression, the cumulative and interactive effects of multiple co...