AI is utilized in toxicology primarily through machine learning algorithms and data mining techniques. These technologies can analyze vast datasets to identify patterns and correlations that are not readily apparent to human researchers. AI models can be trained to predict the toxicity of new compounds by learning from existing data, thereby saving time and resources in the drug development process.
