Public Health & Policy

Environmental Health

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

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Identification of Polymeric Nanoparticles Using Strategic Peptide Sensor Configurations and Machine Learning.

Environmental pollution by miniaturized plastics such as micro- and nanoplastics continues to escala...

Identifying New Candidate Predictors of Mortality in Japanese Patients with Severe Drug Eruptions.

UNLABELLED: BACKGROUND AND OBJECTIVES: SCORe of Toxic Epidermal Necrolysis (SCORTEN) and ABCD-10 hav...

Entomopathogenic nematodes: Commercial use and future perspectives.

The 100 years of research, development, commercialization and use of entomopathogenic nematodes (EPN...

Discovery of Novel Anti-Acetylcholinesterase Peptides Using a Machine Learning and Molecular Docking Approach.

OBJECTIVE: Alzheimer's disease poses a significant threat to human health. Currenttherapeutic medici...

Machine Learning Based Water Quality Evolution and Pollution Identification in Reservoir Type Rivers.

Quantifying transport and transformation of pollutants in river systems regulated by reservoirs pose...

Air Pollution and Autism Spectrum Disorder: Unveiling Multipollutant Risks and Sociodemographic Influences in California.

BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental condition with increasing prevale...

Widespread distribution of bacteria containing PETases with a functional motif across global oceans.

Accumulating evidence indicates that microorganisms respond to the ubiquitous plastic pollution by e...

Integrated network toxicology, machine learning and molecular docking reveal the mechanism of benzopyrene-induced periodontitis.

BACKGROUND: Environmental pollutants, particularly from air pollution and tobacco smoke, have emerge...

Monitoring strategies for continuous evaluation of deployed clinical prediction models.

OBJECTIVE: As machine learning adoption in clinical practice continues to grow, deployed classifiers...

Urban-rural inequality in soil heavy metal health risks: Insights from Baoding, China.

Soil heavy metal contamination poses serious health risks, but few studies have quantitatively asses...

Exploring Aerosol Vertical Distributions and Their Influencing Factors: Insight from MAX-DOAS and Machine Learning.

Understanding aerosol vertical distribution is crucial for aerosol pollution mitigation but is hinde...

Towards sustainable solutions: Effective waste classification framework via enhanced deep convolutional neural networks.

As industrialization and the development of smart cities progress, effective waste collection, class...

Role of astroglia and microglia in Alzheimer's disease and multiple therapeutic interventions.

Alzheimer's disease (AD) is characterized by deposition of amyloid-β (Aβ) and neurofibrillary tangle...

Environmental Pollution: Statistical Approach on Mobile Tower Radiation.

BACKGROUND: The Electromagnetic Field (EMF) effect is considered an alarming human health issue, dep...

Identifying factors influencing trace metal concentrations in urban residential soil using an optimal parameter-based geographical detector model.

Australia's national citizen science program VegeSafe has collected and analysed over 26,000 residen...

Machine learning models for forecasting microplastic dynamics in China's coastal waters.

Understanding spatial-temporal microplastic (MP) patterns and regional drivers in China's coastal wa...

AquaFlowNet a machine learning based framework for real time wastewater flow management and optimization.

This paper presents AquaFlowNet, a machine learning-based algorithm for real-time wastewater flow ma...

Aerosol Measurements and Decadal Changes: The Role of Climatic Changes and How It Reflects in Respiratory Allergies and Asthma.

The causative agents of respiratory allergies are bioaerosols, such as house dust mite feces, pollen...

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