Big data in toxicology refers to the vast amounts of biological, chemical, and environmental data generated from various sources such as in vitro studies, in vivo experiments, and in silico models. This data is essential for understanding the complex interactions between chemicals and biological systems. By leveraging big data, toxicologists can identify biomarkers, predict toxicological outcomes, and improve risk assessments.
