The accuracy of in silico models depends on several factors, including the quality of the input data, the robustness of the algorithms used, and the specific endpoint being predicted. While these models have shown high accuracy for certain types of predictions, they are not infallible. Validation against empirical data is crucial. The continued improvement in machine learning and artificial intelligence algorithms is expected to enhance the predictive power of in silico models.
