This insight brief explores how foundation models are advancing digital patient simulation and clarifies the distinctions between external comparators, synthetic controls, digital twins, synthetic twins, and synthetic data in clinical development. It examines how these approaches can support trial design, evidence generation, and regulatory decision-making while emphasizing the continued importance of validation, transparency, and causal rigor.