Public Health & Policy

Environmental Health

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

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Machine learning-assisted prediction of engineered carbon systems' capacity to treat textile dyeing wastewater via adsorption technology.

Dyes are widely used in industries like printing, cosmetics, paper, leather processing, textiles, an...

A three-dimensional marine plastic litter real-time detection embedded system based on deep learning.

Marine plastic pollution has emerged as a significant ecological and biological issue impacting glob...

Elucidating the Mechanism of VVTT Infection Through Machine Learning and Transcriptome Analysis.

The vaccinia virus (VV) is extensively utilized as a vaccine vector in the treatment of various infe...

Machine learning models for water safety enhancement.

Humans encounter both natural and artificial radiation sources, including cosmic rays, primordial ra...

Predicting On-Road Air Pollution Coupling Street View Images and Machine Learning: A Quantitative Analysis of the Optimal Strategy.

Integrating mobile monitoring data with street view images (SVIs) holds promise for predicting local...

XIS-PM: A daily spatiotemporal machine-learning model for PM in the contiguous United States.

Air-pollution monitoring is sparse across most of the United States, so geostatistical models are im...

Identification and information acquisition of high-value construction solid waste combined millimeter-wave radar and convolutional neural networks.

The accumulation of construction solid waste (CSW) leads to the waste of land resources and environm...

A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution.

Petroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early ...

Understanding the low-temperature drying process of sludge with machine learning in a sewage-source heat pump drying system.

Heat pump drying technology based on sewage heat source is an eco-friendly sludge drying method. It ...

A noninvasive hyperkalemia monitoring system for dialysis patients based on a 1D-CNN model and single-lead ECG from wearable devices.

This study aimed to develop a real-time, noninvasive hyperkalemia monitoring system for dialysis pat...

Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment.

With the global population surpassing 8 billion, waste production has skyrocketed, leading to increa...

Using machine learning models to predict the dose-effect curve of municipal wastewater for zebrafish embryo toxicity.

Municipal wastewater substantially contributes to aquatic ecological risks. Assessing the toxicity o...

MyEcoReporter: a prototype for artificial intelligence-facilitated pollution reporting.

BACKGROUND: Many chemical releases are first noticed by community members, but reporting these conce...

Digital Health and Genomics.

Digital health technologies have a crucial role in streamlining the use of genomics and facilitating...

Machine learning-integrated droplet microfluidic system for accurate quantification and classification of microplastics.

Microplastic (MP) pollution poses serious environmental and public health concerns, requiring effici...

W70: a probiotic with capacity to enhance ammonia assimilation in the rumen.

Ruminants excrete both undigested and excess consumed nitrogen (N) through feces and urine, which re...

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