Data plays a pivotal role in the identification process. Comprehensive databases of chemical structures and properties facilitate the comparison and identification of unknown compounds. Advanced data analysis techniques, including machine learning and artificial intelligence, are increasingly used to enhance the accuracy and efficiency of identification. These tools assist in pattern recognition and the interpretation of complex datasets, ultimately improving the reliability of toxicological assessments.
