Name in original language
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Initiative overview
The Dataspace4Health project presents several key strengths. First, it is a flagship Gaia-X candidate in the healthcare domain for Europe, setting the standard for secure and compliant health data exchange across the continent. It fully supports the goals of the international precision health initiative Clinnova, coordinated by the Luxembourg Institute of Health (LIH).
Secondly, the platform is a collaborative effort led by a consortium of industry and domain leaders and remains open to new members. Third, it aims to explore and unlock new medical treatments through data and AI. Finally, the ecosystem is use-case-driven and has been validated through initial use cases in the fields of diabetes and oncology, paving the way for future applications in other healthcare areas.
Diabetes affects more than half a billion people worldwide, and this number is projected to reach 783 million by 2045. Diabetes is not a uniform disease (e.g., type 1, type 2), and it leads to various complications that require personalized care. AI is considered a promising technology to help prevent these complications. In one use case, a reliable AI-based decision support system—fed by thousands of anonymized patient records and digital twins from LIH—delivers personalized treatment to help prevent complications.
Cancer is the second leading cause of death in many countries, following cardiovascular diseases. Each year, cancer affects tens of millions of people globally, with more than half dying from the disease. While hospitals are responsible for diagnosis and therapy, researchers contribute with new solutions, treatments, and insights into disease mechanisms in the oncology field. The primary goal of this use case is to implement a precision oncology program and a federated data architecture, enabling better interoperability and data exchange between healthcare providers and research institutions.
