Risk assessment benefits significantly from integration by combining data from various sources, such as epidemiological studies, laboratory experiments, and computational models. This comprehensive data amalgamation aids in identifying potential hazards, estimating exposure levels, and determining the dose-response relationship, ultimately leading to more informed decisions about chemical safety.
