Health synthetic data gets more empirical: utility up, privacy not necessarily worse

A JAMIA study across 12 medical datasets and 7 generative models found that adding adjunct variables generally improved synthetic data utility and replicability without significantly increasing privacy vulnerabilities like membership disclosure. In Europe, the SYNTHIA project is pushing synthetic data and federated infrastructure as a way to enable health AI under GDPR, with heavy emphasis on validation. Separate research spotlights DNA-based storage advances and AI-generated longitudinal synthetic data for oncology research constraints.