Technology is at the forefront of optimizing toxicology. Advanced analytical techniques such as mass spectrometry and genomics allow for more detailed and accurate toxicological data. Moreover, machine learning and artificial intelligence are increasingly used to analyze complex datasets, identify patterns, and predict toxic outcomes, streamlining the risk assessment process.
