Can New Technologies Reduce the Need for Uncertainty Factors?
Advancements in toxicogenomics, computational modeling, and in vitro testing are promising avenues for reducing reliance on traditional uncertainty factors. These technologies can provide more precise data on the mechanisms of toxicity and human-specific responses, potentially leading to more refined risk assessments. However, these approaches are still evolving, and regulatory acceptance will require robust validation and standardization.
