Risk assessment in toxicology considers variability by incorporating uncertainty factors to account for differences in sensitivity among individuals and populations. These factors are applied to threshold levels to ensure protection for the most sensitive individuals. Additionally, advancements in toxicogenomics and computational modeling are enhancing the ability to predict and understand variability, allowing for more refined and accurate risk assessments.
