One of the primary benefits of AI in toxicology is its ability to handle large datasets efficiently. AI can analyze complex datasets to identify patterns and correlations that might be missed by traditional methods. This enables more accurate toxicity prediction and assessment, facilitating the development of safer pharmaceuticals and chemicals. Moreover, AI-driven tools provide faster results, which is crucial for timely decision-making in public health emergencies.
