Latest AI and machine learning research in environmental health for healthcare professionals.
The objective of this study is to explore new imaging techniques with the use of the deep learning m...
Practical experiments drive important scientific discoveries in biology, but theory-based research s...
Peptides have shown increasing advantages and significant clinical value in drug discovery and devel...
Recently, ecological damage and environmental pollution have become increasingly serious. Experts in...
The spectral fingerprint is a significant concept in nontarget screening of environmental samples to...
Rivers are generally classified as either national or local rivers. Large-scale national rivers are ...
A successful drug needs to exhibit both effective pharmacodynamics (PD) and safe pharmacokinetics (P...
Plastic pollution in water bodies is an unresolved environmental issue that damages all aquatic envi...
Short-term prediction of urban air quality is critical to pollution management and public health. Ho...
The degradation of the ecological environment caused by industrialization presents a major challenge...
One of the major challenges in drug development is having acceptable levels of efficacy and safety t...
In recent days, the quality of water in inland water bodies has been threatened by various natural a...
Molecular structure property modeling is an increasingly important tool for predicting compounds wit...
The purpose of this study was to develop a deep learning method involving wavelet transform (WT) and...
As interests in air quality monitoring related to environmental pollution and industrial safety incr...
Herein, a robust and reproducible eXplainable Artificial Intelligence (XAI) approach is presented, w...
Deep neural network (DNN) based methods have shown promising performances for low-dose computed tomo...
BACKGROUND: Air pollution epidemiology has primarily relied on measurements from fixed outdoor air q...
Persistent, mobile, and toxic (PMT) substances and very persistent and very mobile (vPvM) substances...
Real-time streamflow forecasting is essential to manage water resources effectively in a reservoir-r...
The utilization of unlabeled electrocardiogram (ECG) data is always a critical topic in artificial i...