Artificial Intelligence-Based Toxicity Prediction of Environmental
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Descrição
Artificial Intelligence and Machine Learning Empower Advanced Biomedical Material Design to Toxicity Prediction - Singh - 2020 - Advanced Intelligent Systems - Wiley Online Library
Predicting cytotoxicity of binary pollutants towards a human cell panel in environmental water by experimentation and deep learning methods - ScienceDirect
In silico toxicology: From structure–activity relationships towards deep learning and adverse outcome pathways - Hemmerich - 2020 - WIREs Computational Molecular Science - Wiley Online Library
Integrating AI and Toxicology: A Paradigm Shift in Environmental Health
AOP-Based Machine Learning for Toxicity Prediction
Dual use of artificial-intelligence-powered drug discovery
Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations
Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications
Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network, Journal of Cheminformatics
ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science
IJMS, Free Full-Text
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
IJMS, Free Full-Text
BDCC, Free Full-Text
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