This project explores the implications of using synthetic data in healthcare, focusing on liver research. It examines differences between synthetic and real-world data, evaluates generation approaches, and assesses the validity of conclusions drawn from both data sources. The interdisciplinary effort combines medical expertise and computer science to address critical gaps in synthetic data utility for healthcare.