Public Health & Policy

Environmental Health

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

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Lead Informed Artificial Intelligence Mining of Antitubercular Host Defense Peptides.

Identifying host defense peptides (HDPs) that are effective against drug-resistant infections is cha...

Traffic-related air pollution backcasting using convolutional neural network and long short-term memory approach.

Air pollution backcasting, especially nitrogen dioxide (NO), is crucial in epidemiological studies, ...

Enhancing Differentiation of Oxygenated Organic Aerosol: A Machine Learning Approach to Distinguish Local and Transboundary Pollution.

Accurate source apportionment of particulate matter (PM), especially of organic aerosol (OA), is cru...

Fate and speciation of NO in an arid climatic region: factors assessment.

NO and NO continuously recycle in the lower atmosphere through a complex series of reactions involvi...

Real time intelligent garbage monitoring and efficient collection using Yolov8 and Yolov5 deep learning models for environmental sustainability.

Effective waste management is currently one of the most influential factors in enhancing the quality...

New Strategies and Artificial Intelligence Methods for the Mitigation of Toxigenic Fungi and Mycotoxins in Foods.

The proliferation of toxigenic fungi in food and the subsequent production of mycotoxins constitute ...

In silico analysis of soybean-derived umami peptides: Discovery and interaction mechanisms with T1R1/T1R3 receptor.

In this study, umami peptides with binding activity to the umami receptor T1R1/T1R3 were screened an...

Impact of Tagatose on Physicochemical, Nutritional, and In Vitro Digestive Properties of Toast Bread.

It is more attractive to develop effective strategies to reduce sugar intake without compromising fo...

Machine Learning Models for Predicting Pediatric Hospitalizations Due to Air Pollution and Humidity: A Retrospective Study.

BACKGROUND: Exposure to air pollution and meteorological conditions, such as humidity, has been link...

Artificial Intelligence in Health Care: A Rallying Cry for Critical Clinical Research and Ethical Thinking.

Artificial intelligence (AI) will impact a large proportion of jobs in the short to medium term, esp...

Interpreting hourly mass concentrations of PM chemical components with an optimal deep-learning model.

PM constitutes a complex and diverse mixture that significantly impacts the environment, human healt...

[A lightweight classification network for single-lead atrial fibrillation based on depthwise separable convolution and attention mechanism].

OBJECTIVES: To design a deep learning model that balances model complexity and performance to enable...

A causal machine-learning framework for studying policy impact on air pollution: a case study in COVID-19 lockdowns.

When studying the impact of policy interventions or natural experiments on air pollution, such as ne...

Integration of smart sensors and phytoremediation for real-time pollution monitoring and ecological restoration in agricultural waste management.

Global climate change and ecological degradation highlight the urgency of dealing with agricultural ...

Investigating the Impact of Antibiotics on Environmental Microbiota Through Machine Learning Models.

Antibiotic pollution in the environment can significantly impact soil microorganisms, such as alteri...

Machine Learning in Early Prediction of Metabolism of Drugs.

Machine learning (ML) has increasingly been applied to predict properties of drugs. Particularly, me...

[A novel approach for assessing quality of electrocardiogram signal by integrating multi-scale temporal features].

During long-term electrocardiogram (ECG) monitoring, various types of noise inevitably become mixed ...

Primary care research on hypertension: A bibliometric analysis using machine-learning.

Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical con...

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