Machine Learning Toxicity Prediction: Latest Advances by Toxicity

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

Toxicity prediction based on artificial intelligence: A multidisciplinary overview - Pérez Santín - 2021 - WIREs Computational Molecular Science - Wiley Online Library

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

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

Frontiers In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts

ProTox-II - Prediction of TOXicity of chemicals

eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates, BMC Pharmacology and Toxicology

Artificial Intelligence and Machine Learning Empower Advanced Biomedical Material Design to Toxicity Prediction - Singh - 2020 - Advanced Intelligent Systems - Wiley Online Library

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

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

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

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

Consideration of predicted small-molecule metabolites in computational toxicology - Digital Discovery (RSC Publishing)

Artificial Intelligence for Drug Toxicity and Safety: Trends in Pharmacological Sciences