AI algorithms, particularly machine learning and deep learning, play a critical role in toxicology by analyzing large datasets to predict toxicological outcomes. They can process complex biological data to identify patterns that may not be apparent through traditional analytical methods. This capability is vital for identifying potential toxic effects of new compounds, thereby aiding in drug development and chemical safety assessments.
