Despite their advantages, PBPK models face certain challenges. The accuracy of these models heavily depends on the quality and availability of input data. Incomplete or inaccurate data can lead to unreliable predictions. Additionally, these models require significant expertise and computational resources to develop and validate. There is also a need for standardized methodologies to enhance the consistency and reproducibility of PBPK modeling across different studies.
