
In today’s data-driven world, the healthcare industry faces significant challenges in obtaining representative and privacy-compliant datasets. However, with the emergence of synthetic data generation, a solution has been found to address these critical challenges in healthcare. Synthetic data offers the potential to create realistic patient datasets that mimic real-world data without compromising patient privacy. In this article, we will explore