Synthetic Data Generation Framework For Integrated Validation Of Use Cases And Ai Healthcare Applications (SYNTHIA)

Project summary

Access to high-quality medical data is crucial for advancing healthcare research, but patient privacy concerns and strict regulations limit data availability. Traditional methods of anonymising data often fall short of protecting sensitive information. Additionally, the complexity of healthcare data, including genomics and imaging, makes it challenging to generate accurate synthetic alternatives. Without reliable solutions, progress in datadriven healthcare innovation is hindered. In this context, the EU-funded SYNTHIA project tackles this issue by improving Synthetic Data Generation (SDG) for healthcare applications. Focused on six diseases, SYNTHIA develops new techniques to create realistic, multimodal, and longitudinal data, while ensuring transparency and security.

The open SYNTHIA platform will provide researchers with validated synthetic datasets and tools, accelerating healthcare advancements without compromising patient privacy.