Data Gaps: Limited data on new or poorly studied substances can hinder accurate risk assessment. Variability: Differences in individual susceptibility, such as age, genetics, and health status, can complicate risk predictions. Complex Mixtures: People are often exposed to multiple substances simultaneously, making it difficult to assess combined effects. Uncertainty: Inherent uncertainties in extrapolating animal data to humans and in estimating long-term effects.
