Machine Learning Toxicity Prediction: Latest Advances by Toxicity
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Frontiers Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data

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

Artificial intelligence and machine learning disciplines with the potential to improve the nanotoxicology and nanomedicine fields: a comprehensive review

Machine learning in drug design: Use of artificial intelligence to explore the chemical structure–biological activity relationship - Staszak - 2022 - WIREs Computational Molecular Science - Wiley Online Library
Machine Learning Toxicity Prediction: Latest Advances by Toxicity End Point

Limitations of Animal Studies for Predicting Toxicity in Clinical Trials: Is it Time to Rethink Our Current Approach?

PDF] Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis

In silico toxicology: computational methods for the prediction of chemical toxicity - Raies - 2016 - WIREs Computational Molecular Science - Wiley Online Library

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

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

IJMS, Free Full-Text

Knowledge-guided deep learning models of drug toxicity improve interpretation - ScienceDirect
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