Data-driven decision making involves using empirical data to guide and inform decisions rather than relying solely on intuition or theoretical models. In toxicology, this approach integrates data from various sources, including experimental studies, epidemiological data, and computational models, to predict the potential effects of chemicals on human health and the environment.
