Public Health & Policy

Environmental Health

Latest AI and machine learning research in environmental health for healthcare professionals.

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Modeling the global ocean distribution of dissolved cadmium based on machine learning-SHAP algorithm.

Cadmium (Cd) is a bio-essential trace metal in the ocean that can be toxic at high concentrations, s...

Revolutionizing the construction industry by cutting edge artificial intelligence approaches: a review.

The construction industry is rapidly adopting Industry 4.0 technologies, creating new opportunities ...

Cyto-Safe: A Machine Learning Tool for Early Identification of Cytotoxic Compounds in Drug Discovery.

Cytotoxicity is essential in drug discovery, enabling early evaluation of toxic compounds during scr...

Novel concept for the healthy population influencing factors.

In the rapid urbanization process in China, due to reasons such as employment, education, and family...

Forecasting air pollution with deep learning with a focus on impact of urban traffic on PM10 and noise pollution.

Air pollution constitutes a significant worldwide environmental challenge, presenting threats to bot...

Assessment of type and quantities of food and beverage plastic packaging: A case study.

Plastic pollution has been identified as one of the most pressing environmental issues of the 21st c...

Selectively Quantify Toxic Pollutants in Water by Machine Learning Empowered Electrochemical Biosensors.

Electroactive biofilm (EAB) sensors have become pivotal in water quality detection and early ecologi...

The Effect of Different Bleaching Techniques Using 6% Hydrogen Peroxide: Penetration Inside the Pulp Cavity, Bleaching Efficacy and Toxicity.

This in vitro study aimed to quantify the penetration of hydrogen peroxide (HP), bleaching efficacy ...

Novel method for predicting concentrations of incineration flue gas based on waste composition and machine learning.

The complex composition of solid waste leads to the variability of flue gas emissions during its inc...

Evaluating drivers of PM air pollution at urban scales using interpretable machine learning.

Reducing urban fine particulate matter (PM) concentrations is essential for China to achieve the Sus...

Graphene FET biochip on PCB reinforced by machine learning for ultrasensitive parallel detection of multiple antibiotics in water.

Antibiotics like Ciprofloxacin (Cfx), tetracycline (Tet) and Tobramycin (Tob) are commonly used agai...

The development of classification-based machine-learning models for the toxicity assessment of chemicals associated with plastic packaging.

Assessing chemical toxicity in materials like plastic packaging is critical to safeguarding public h...

Does industrial robot adoption inhibit environmental pollution in China? An empirical study on energy consumption and green technology innovation.

In this research, we develop a theoretical model to examine the relationship between the adoption of...

SERS-AI Based Detection and Bioanalysis of Malodorous Components in Kitchen Waste.

The prevention and control of odor gas generated from kitchen waste are significant missions in rese...

Artificial intelligence-driven assessment of critical inputs for lead adsorption by agro-food wastes in wastewater treatment.

Due to environmental concerns and economic value, the adsorption process using agricultural wastes i...

Using machine learning to predict soil lead relative bioavailability.

Although the relative bioavailability (RBA) can be applied to assess the effects of Pb on human heal...

Spatiotemporal variations of PM and ozone in urban agglomerations of China and meteorological drivers for ozone using explainable machine learning.

Ozone pollution was widely reported along with PM reduction since 2013 in China. However, the meteor...

Improving PM and PM predictions in China from WRF_Chem through a deep learning method: Multiscale depth-separable UNet.

Accurate predictions of atmospheric particulate matter can be applied in providing services for air ...

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