Abstract
Predictive systems and models in toxicology engender the most confidence when their predictions can be safely confirmed in animal and human contexts. Bridging biomarkers, i.e., endpoints that can be measured in the predictive model as well as a number of animal species and humans, allow that confirmation. Of course, such a bridging biomarker can be used to qualify a predictive model, by correlating its response to toxicant response in a target species with its response in the predictive model. The intentional use of such bridging biomarkers in predictive models and safety assessment can improve the application of the model as well as facilitate the safety evaluation process.
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