Validation is a critical step in the development of mechanistic models. It involves comparing the model's predictions with experimental data to assess its accuracy and reliability. This process often requires the use of [in vitro](#) and [in vivo](#) studies, as well as data from clinical trials and epidemiological studies. Sensitivity analysis and uncertainty analysis are also commonly used to evaluate the robustness of the model and identify key parameters that influence its predictions.
