A decentralized repository for secure, scalable genomic data sharing & AI-driven personalized healthcare insights — powered by OriginTrail Decentralized Knowledge Graph (DKG).
We’re excited to announce that OriginTrail is joining forces with the ELSA (European Lighthouse on Secure and Safe AI) initiative to shape the future of decentralized, privacy-preserving artificial intelligence (AI) in healthcare. Digital healthcare today faces three pressing challenges: safeguarding patient privacy, bridging fragmented data silos for seamless interoperability, and meeting strict regulatory requirements without stifling innovation.
At the heart of this collaboration lies a DeReGenAI — a decentralized repository for secure, scalable genomic data sharing and AI-driven personalized healthcare, powered by the OriginTrail Decentralized Knowledge Graph (DKG). This initiative tackles the most pressing challenges in digital health: enabling secure, compliant, and user-sovereign sharing of sensitive genomic data while unlocking the full potential of AI-driven personalized healthcare.
Trustworthy AI needs trustworthy infrastructure
AI is transforming healthcare — but for it to do so responsibly, it must be built on a foundation of trust, transparency, and ethics. That’s exactly what OriginTrail brings to the table within the ELSA consortium: an open-source, decentralized infrastructure that ensures data privacy, ownership, and interoperability at scale.
By integrating OriginTrail DKG, DeReGenAI becomes a decentralized repository that puts patients in control of their most personal asset — their genomic data. This enables:
- User-managed permissions: Patients decide who can access their data, when, and for what purpose.
- Privacy-preserving monetization: Individuals can opt to share their data with research institutions or health providers on their own terms.
- AI-ready interoperability: Seamless interaction with AI systems while maintaining the integrity and provenance of the data.
At its core, the OriginTrail DKG act as a knowledge graph of knowledge graphs — a globally distributed network where each participant maintains control over their own knowledge node. These nodes interact in a fully decentralized manner, eliminating the risks of centralized data silos and single points of failure.
Here’s why this matters:
- Global scale: Access data from diverse sources without compromising security.
- Privacy-first architecture: Data sovereignty is seamlessly integrated into the infrastructure.
- Compliance-ready: Designed with GDPR and other regulatory frameworks in mind.
- Interoperable: Built for seamless integration with AI technologies and healthcare systems.
How does DeReGenAI work?
To power the next generation of personalized healthcare, DeReGenAI employs decentralized Retrieval-Augmented Generation (dRAG) — an evolution of how Large Language Models (LLMs) interact with external data.
Instead of querying a centralized source, the LLMs in DeReGenAI leverage the OriginTrail DKG to retrieve verified, decentralized knowledge. This unlocks:
- More accurate AI insights,
- Context-aware healthcare recommendations,
- Trustworthy and verifiable AI behavior.
The ELSA initiative brings together top-tier European academic, industrial, and technology partners, such as University of Oxford, The Alan Turing Institute, NVIDIA, and others, to build a future where AI is both effective and ethical. As part of the ELSA initiative, OriginTrail is used to build a trusted data ecosystem for the AI age — one where people, not platforms, control their data, and where innovation never comes at the cost of ethics.
We’re proud to be driving this change, and even prouder to be doing it alongside an incredible group of partners.
Learn how OriginTrail is powering the shift to human-centric AI at https://origintrail.io/.
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OriginTrail powers the future of ethical AI in healthcare with ELSA was originally published in OriginTrail on Medium, where people are continuing the conversation by highlighting and responding to this story.
