Artificial Intelligence-Based Toxicity Prediction of Environmental

Artificial intelligence for drug discovery: Resources, methods, and applications: Molecular Therapy - Nucleic Acids

Large-Scale Modeling of Multispecies Acute Toxicity End Points Using Consensus of Multitask Deep Learning Methods

Machine Learning Models for Predicting Cytotoxicity of Nanomaterials

Using machine learning to improve the toxicity assessment of chemicals - ΑΙhub

Prediction of bioavailability and toxicity of complex chemical mixtures through machine learning models - ScienceDirect

AOP-Based Machine Learning for Toxicity Prediction

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

Toxics, Free Full-Text

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

PDF) Artificial Intelligence in Environmental Monitoring: Application of Artificial Neural Networks and Machine Learning for Pollution Prevention and Toxicity Measurements