The complexity of biological systems and the multitude of chemical exposures necessitate a multifaceted approach. Traditional toxicology, which often relies on animal testing, is limited in its ability to predict human responses accurately. Integrative approaches address these limitations by incorporating data from high-throughput screening, computational modeling, and omics technologies. These methods enhance our understanding of mechanisms of toxicity and facilitate the development of predictive models that can reduce reliance on animal testing.
