Identifying predictive biomarkers involves a combination of omics technologies, such as genomics, proteomics, and metabolomics, as well as advanced computational modeling. These approaches help uncover patterns and associations between specific biomarkers and toxicological outcomes. Validation of these biomarkers is essential and typically involves rigorous testing in diverse populations to ensure their accuracy and reliability.
