Despite their advantages, in silico methods face several challenges. Ensuring the accuracy and reliability of predictive models is a significant concern, as these depend on the quality of the input data and the robustness of the algorithms. Additionally, the complexity of biological systems means that current models might not fully capture all the nuances of human biological responses. Furthermore, there's a need for continuous validation and updating of models to reflect new scientific findings.
