AI is revolutionizing toxicology by enhancing the ability to predict the toxicity of chemicals before they are tested on living organisms. Machine learning models can analyze complex datasets to identify patterns and predict outcomes, improving the accuracy and efficiency of toxicological assessments. AI also aids in the development of Quantitative Structure-Activity Relationship (QSAR) models, which predict the effects of chemical compounds based on their molecular structure.
