Machine Learning (ML) and Artificial Intelligence (AI) are transforming predictive toxicology by analyzing large datasets to identify patterns and predict outcomes. These technologies can enhance the accuracy of predictions, reduce the reliance on animal testing, and provide insights into the mechanisms of toxicity.