The creation and application of data in biomedicine and healthcare often face privacy constraints, bias, distributional shifts, underrepresentation of certain groups and data scarcity. Some of these challenges may be addressed by synthetic data, which can be generated by deep generative models. In this Review, we highlight how data-driven synthetic data can be created not only to overcome privacy concerns associated with real data, but also to expand and improve real data. In particular, […]
Synthetic data in biomedicine via generative artificial intelligence – Nature
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