How do we build life-saving algorithms without compromising patient privacy? synteThe use of synthetic data in healthcare has emerged as a promising response to the growing demand for large, diverse, and shareable datasets. In an increasingly data-driven medical ecosystem, synthetic data could allow AI teams to bridge the gap between rapid innovation and bulletproof privacy protection, enabling our developers to safely build and stress-test models while minimizing the risk of patient re-identification.