Public Health & Policy

Environmental Health

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

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Revolutionizing Satellite Real-Time Air Pollution Alerts through New On-Orbit System-on-Chip Technology.

Exposure to abnormally high concentrations of particulate matter and ozone can cause severe harm to ...

A Novel LIBS-Machine Learning Strategy for Multimetal Detection in Microsized PMMA Particles: Efficient Quantification for Composite Pollution.

Microplastics (MPs) have emerged as a critical environmental pollutant, causing composite pollution ...

Low-cost sensors for atmospheric NO measurement: A review.

Nitrogen dioxide (NO) is a major air pollutant in urban areas, prompting the development of numerous...

EEG-based prediction of reaction time during sleep deprivation.

Prolonged wakefulness is known to adversely affect basic cognitive abilities such as object recognit...

Using machine learning to unravel chemical and meteorological effects on ground-level ozone: Insights for ozone-climate control strategies.

In the context of climate change, various countries/regions across East Asia have witnessed severe g...

Non-traditional socio-environmental and geospatial determinants of Alzheimer's disease-related dementia mortality.

IMPORTANCE: Recent data point to the impact of non-traditional environmental and social factors on A...

A lightweight spatial and spectral CNN model for classifying floating marine plastic debris using hyperspectral images.

Marine plastic debris poses a significant environmental threat. In order to study and combat this po...

Widespread false negatives in DNA-encoded library data: how linker effects impair machine learning-based lead prediction.

DNA-encoded chemical libraries (DECLs) have become integral to early-stage drug discovery, yielding ...

Hybrid Physical Mechanism and Artificial Intelligence-Based Model for Evaluating Nonpoint Source Pesticide Pollution at a Megacity Scale.

Large-scale nonpoint source (NPS) pesticide pollution is a growing concern in urban areas; however, ...

Near-term prediction of sustained ventricular arrhythmias applying artificial intelligence to single-lead ambulatory electrocardiogram.

BACKGROUND AND AIMS: Accurate near-term prediction of life-threatening ventricular arrhythmias would...

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