Machine Learning Toxicity Prediction: Latest Advances by Toxicity
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Frontiers DeepTox: Toxicity Prediction using Deep Learning
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity
Equivariant Graph Neural Networks for Toxicity Prediction, Theoretical and Computational Chemistry, ChemRxiv
PDF] Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis
Artificial Intelligence for Drug Toxicity and Safety: Trends in Pharmacological Sciences
Generating accurate in silico predictions of acute aquatic toxicity for a range of organic chemicals: Towards similarity-based machine learning methods - ScienceDirect
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
In silico toxicology: computational methods for the prediction of chemical toxicity - Raies - 2016 - WIREs Computational Molecular Science - Wiley Online Library
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
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
