Latest AI and machine learning research in environmental health for healthcare professionals.
The Tibetan Plateau and surrounding area are an important source of freshwater for approximately two billion people. Climate change has aggregated permafrost degradation in the Tibetan Plateau over the last few decades, mobilizing organic substances sequestrated in the permafrost. Of particular concern are the mobilized organic substances that would be considered persistent, mobile, and toxic (PMT...
The accurate determination of mycotoxins in food samples is crucial to guarantee food safety and minimize their toxic effects on human and animal health. This study proposed the use of a support vector regression (SVR) predictive model improved by two metaheuristic algorithms used for optimization namely, Harris Hawks Optimization (HHO) and Particle Swarm Optimization (PSO) to predict chromatograp...
Microplastics (MPs) and nanoplastics (NPs) present formidable global environmental challenges with serious risks to human health and ecosystem sustain...
There is an increasing interest in using image-generating diffusion models for deep data augmentation and image morphing. In this context, it is use...
Instruction tuning has emerged as a critical paradigm for improving the capabilities and alignment of large language models (LLMs). However, existin...
Respiratory diseases present significant challenges to global health due to their high morbidity and mortality rates. Traditional diagnostic methods, ...
We present the Full-Spectrum Generative Lead Discovery (FSGLD), a deep learning-driven pipeline for efficient drug lead identification. FSGLD integrat...
Detecting and classifying arrhythmias is essential in diagnosing cardiovascular diseases. However, current deep learning-based classification methods ...
Human activities such as food production, mining, transportation, and construction have extensively modified Earth's land and marine environments, cau...
Identifying host defense peptides (HDPs) that are effective against drug-resistant infections is challenging due to their vast sequence space. Artific...
Understanding the response of PM-bound toxic components to source variations under climate change is crucial for public health protection. However, th...
Air pollution backcasting, especially nitrogen dioxide (NO), is crucial in epidemiological studies, thus enabling the reconstruction of historical exp...
Pretraining datasets are foundational to the development of multimodal models, yet they often have inherent biases and toxic content from the web-sc...
Accurate source apportionment of particulate matter (PM), especially of organic aerosol (OA), is crucial for targeted mitigation efforts. Positive Mat...
With over five million contaminated sites worldwide, accurately characterizing the three-dimensional (3D) distribution of soil contamination is critic...
Coverage Path Planning (CPP) is vital in precision agriculture to improve efficiency and resource utilization. In irregular and dispersed plantation...
Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disorder marked by cerebellar dysfunction, ataxic gait, and progressiv...
Effective waste management is currently one of the most influential factors in enhancing the quality of life. Increased garbage production has been id...
NO and NO continuously recycle in the lower atmosphere through a complex series of reactions involving NO, VOCs, NO, and O. Therefore, the NO/NO ratio...
Despite significant progress in air quality improvement, heavy fine particulate matter (PM) pollution events persist in China. The pollution character...