Big data in toxicology refers to the vast volumes of data generated from various sources such as high-throughput screening, genomics, proteomics, metabolomics, and in silico studies. These data sets are too large and complex to be processed using traditional data-processing techniques. The application of big data in toxicology aims to improve the understanding of how chemicals and other substances affect human health and the environment.
