Data science plays a crucial role in toxicology by providing advanced analytical techniques to handle and interpret large volumes of data. It helps in identifying patterns, trends, and correlations that might not be apparent through traditional methods. This enhances the accuracy of predictive models, allowing for better assessment of the potential risks posed by chemical substances.
