One of the primary challenges in toxicology studies is the extrapolation of data from animal models to humans. Differences in metabolism, exposure levels, and genetic factors can affect the relevance of animal data to human health. Another challenge is the identification of low-dose effects and the cumulative impact of multiple exposures, which may not be evident in short-term studies. Advances in computational toxicology and alternative testing methods aim to address these challenges.
