Accelerating QSP Virtual Population Generation Through Active Learning and Bayesian Optimization

Generating physiologically realistic virtual patients is often one of the most computationally intensive steps in QSP modeling. This research demonstrates how active learning and Bayesian optimization can dramatically improve the efficiency of virtual population generation, helping modelers explore complex biological systems faster while reducing computational costs.