The future of QSAR in toxicology looks promising, with ongoing advancements in machine learning and artificial intelligence enhancing the predictive power of these models. Additionally, the integration of omics data (genomics, proteomics, metabolomics) and big data analytics is expected to further improve the accuracy and applicability of QSAR models in predicting toxicity.