The future of PBPK models in toxicology is promising, with advancements in computational power and data availability enhancing their precision and applicability. Integration with omics data and machine learning techniques is expected to further refine these models, allowing for personalized medicine approaches and improved risk assessments. As regulatory agencies increasingly recognize the value of PBPK models, their adoption in regulatory submissions is anticipated to grow.
