Latest AI and machine learning research in environmental health for healthcare professionals.
Jellyfish cyborgs present a promising avenue for soft robotic systems, leveraging the natural energy...
Coronary artery disease (CAD) is a worldwide leading cause of death. Considering that 20%-40% of pat...
Soil heavy metal contamination, particularly cadmium (Cd), poses a significant risk to ecosystems an...
Flame retardants (FR) encompass a wide range of chemicals designed to inhibit and reduce the spread ...
The accumulation of heavy metal(loid)s (HMs) in the soils of urban parks in industrial cities has ra...
Brick kilns are a major source of air pollution in Pakistan, with many operating without regulation....
High-concentration ozone threatens human health and ecosystems, modulated by dynamic, multiscale met...
Molecular optimization plays a pivotal role in many domains since it holds promise for improving the...
The chromite-asbestos mining leaves behind tonnes of toxic waste, contaminating nearby agricultural ...
Volatile Organic Compounds (VOCs) are key components of atmospheric pollution and play a critical ro...
The rapid and accurate identification of antibiotics in environmental samples is critical for addres...
In recent years, air quality levels have become a global issue with the rise of harmful pollutants a...
Air pollution has long been a public health concern in South America, now increasingly linked to cli...
The Tibetan Plateau and surrounding area are an important source of freshwater for approximately two...
The accurate determination of mycotoxins in food samples is crucial to guarantee food safety and min...
The global contamination of water bodies by persistent organic pollutants (perfluoroalkyl substances...
Microplastics (MPs) and nanoplastics (NPs) present formidable global environmental challenges with s...
We present the Full-Spectrum Generative Lead Discovery (FSGLD), a deep learning-driven pipeline for ...
Human activities such as food production, mining, transportation, and construction have extensively ...
Detecting and classifying arrhythmias is essential in diagnosing cardiovascular diseases. However, c...
Respiratory diseases present significant challenges to global health due to their high morbidity and...