Computational toxicology is a multidisciplinary field that combines computational methods with toxicology to predict the adverse effects of chemical substances on human health and the environment. It leverages data from various sources, including in vitro studies, in vivo experiments, and epidemiological data, to build models that can predict the toxicity of new chemicals, which is especially important in the context of cancer research.