Artificial intelligence is transforming toxicology by enhancing the analysis of complex datasets. AI algorithms can identify patterns and predict outcomes related to toxic exposures. This capability is crucial for risk assessment and developing targeted interventions. Furthermore, AI can assist in the discovery of new biomarkers for toxic exposure, improving diagnostic accuracy.
