Risk assessment is a fundamental component of toxicology policy, providing a scientific basis for regulatory decisions. Traditional risk assessment methodologies are being refined and supplemented with new approaches, such as high-throughput screening and computational modeling, to improve accuracy and efficiency. These advancements enable regulators to evaluate a broader range of chemicals more rapidly, identify potential hazards earlier, and prioritize resources effectively. Additionally, the integration of omics technologies and systems biology into risk assessment frameworks offers deeper insights into the mechanisms of toxicity and individual susceptibility, supporting more personalized regulatory approaches.
