Artificial Intelligence-Based Toxicity Prediction of Environmental

Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications

Integration of artificial intelligence methods and life cycle assessment to predict energy output and environmental impacts of paddy production - ScienceDirect

Machine learning in the identification, prediction and exploration of environmental toxicology: Challenges and perspectives - ScienceDirect

Predicting cytotoxicity of binary pollutants towards a human cell panel in environmental water by experimentation and deep learning methods - ScienceDirect

Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations

Toxics, Free Full-Text

Machine learning models based on molecular descriptors to predict human and environmental toxicological factors in continental freshwater

Chemical similarity and machine learning-based approaches for the prediction of aquatic toxicity of binary and multicomponent pharmaceutical and pesticide mixtures against Aliivibrio fischeri - ScienceDirect

Artificial intelligence-based solutions for climate change: a review

Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network, Journal of Cheminformatics

Machine learning-based prediction of toxic metals concentration in an acid mine drainage environment, northern Tunisia

PDF) Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives