Predictive toxicology software encompasses a range of computational tools designed to assess the toxicity of chemical substances. These tools utilize various computational models, including quantitative structure-activity relationship (QSAR) models, machine learning algorithms, and statistical analysis, to predict harmful effects on human health and the environment. The primary aim is to forecast potential adverse outcomes before they occur, thereby enhancing chemical safety assessments.
