Despite their advantages, ITS face several challenges:
Data Integration: Combining data from diverse sources requires standardization and harmonization efforts. Model Validation: Ensuring the accuracy and reliability of in silico models is crucial for their acceptance in regulatory settings. Knowledge Gaps: There are still areas where scientific understanding is limited, affecting the predictive power of ITS. Acceptance: Gaining acceptance from regulatory bodies and stakeholders requires extensive validation and proof of effectiveness.
