In an era where healthcare data is exponentially growing, the FLUTE project emerges as a trailblazing initiative aimed at harnessing this data for medical advancements while ensuring data privacy. Located at the intersection of healthcare, artificial intelligence (AI), and data security, FLUTE aims to elevate and scale up data-driven healthcare on an international level.
One of the cornerstone issues the project tackles is privacy. In the globalized age, cross-border data sharing is crucial for healthcare advancements. However, concerns around data security and privacy of sensitive data such as health data are significant roadblocks. FLUTE aims to resolve this by pioneering a secure multi-party computation within Federated Learning, making it possible for various data hubs to collaborate without compromising on data privacy. This innovative approach aims not only to facilitate collaboration but also to ensure GDPR compliance, aligning with the European Commission's directives.
To demonstrate the practical impact of such platform, the FLUTE platform focuses its first application on clinically significant prostate cancer. By integrating the FLUTE platform with health data hubs from three different countries, a novel federated AI toolset will be developed and validated multi-nationally with the objective to improve the diagnosis of aggressive forms of prostate cancer
Multidisciplinary by nature, the project incorporates social sciences and ethics, reflected in the composition of the 12-strong consortium that includes clinical experts, technology SMEs, research partners, legal/ethical advisors, and a standards organization. The project also promises significant contributions to the global HL7 FHIR standard development, an essential protocol for global healthcare data exchange.
