Latest AI and machine learning research in environmental health for healthcare professionals.
Machine learning (ML) has shown a great promise in predicting toxicity of small molecules. However, ...
Previous studies have successfully predicted overweight status by applying deep learning to 12-lead ...
Subsistence farmers and global food security depend on sufficient food production, which aligns with...
Uncertainty regarding the future of radiologists is largely driven by the emergence of artificial in...
BACKGROUND: Digital transformation has sparked profound change in the healthcare sector through the ...
Tuberculosis (TB) is one of the life-threatening infectious diseases with prehistoric origins and oc...
Components of artificial intelligence (AI) for analysing social big data, such as natural language p...
Heavy metals (HMs) enter waterbodies through various means, which, when exceeding a threshold limit,...
The attempt to define toxicovigilance can be based on defining its fundamental principles: preventio...
As population density increases, environmental hygiene and public health become increasingly severe....
BACKGROUND: Machine learning (ML) models have been proposed to predict risk related to transvenous l...
The accurate identification of chemicals with ocular toxicity is of paramount importance in health h...
Molecular Biology has long tried to discover mechanisms, considering that unless we understand the p...
BACKGROUND: The acquisition of single-lead electrocardiogram (ECG) from mobile devices offers a more...
Early time series classification predicts the class label of a given time series before it is comple...
With the advent of the second industrial revolution, mining and metallurgical processes generate lar...
The breathtaking economic development put a heavy toll on ecology, especially on water pollution. Ef...
Nano-sized silver has drawn a great deal of attention in the field of health sciences owing to its r...
Given the severe effects that toxic compounds present in wastewater streams have on humans, it is im...
Learning from past experience is an important adaptation and theoretical models may help to understa...
Implementing Artificial Intelligence in medicine is revolutionizing how medicine is practiced. It ha...