AI algorithms, including machine learning and neural networks, are employed to analyze big data in toxicology. These tools can identify patterns and correlations that might be missed by traditional methods. AI aids in the prediction of toxicity by processing large datasets to provide insights into the potential adverse effects of new chemicals, significantly reducing the need for animal testing.
