Artificial intelligence (AI) and machine learning are increasingly being integrated into toxicological simulations. These technologies enhance model accuracy by analyzing large datasets to identify patterns and relationships that may not be evident through traditional methods. AI can also help in optimizing models and speeding up the prediction processes.
