DTRIP4H

DTRIP4H

DTRIP4H is a Horizon Europe project that aims to transform healthcare research and innovation in Europe by building a decentralised digital twin ecosystem.

About the Project

DTRIP4H

Project description:

DTRIP4H is a Horizon Europe project that aims to transform healthcare research and innovation in Europe by building a decentralised digital twin ecosystem.

In simple terms, the project develops a shared environment where researchers, clinicians, and companies can use advanced technologies—such as digital twins, federated learning, generative AI, and virtual/augmented reality—to simulate and better understand complex health conditions.

Its main goal is to enable predictive, preventive, personalised, and participatory healthcare by improving how data is shared, harmonised, and protected across European research infrastructures.

As part of the project, several real-world use cases (e.g., cancer treatment, drug development, and personalised medicine) are developed to demonstrate how digital twin technologies can support better medical decision-making and innovation.

Overall, DTRIP4H seeks to create a collaborative, privacy-preserving digital ecosystem that accelerates health research and delivers more precise and effective healthcare solutions across Europe.

Fed-BioMed’s position in the project:

Within this ecosystem, Fed-BioMed plays a key enabling role in the Decentralised Digital Twin Ecosystem (DDTE). It provides advanced federated learning and privacy-preserving analytics capabilities, allowing sensitive health data to remain securely at its source while still contributing to large-scale, collaborative research.

As part of the DDTE, Fed-BioMed acts as a core technological pillar that supports secure, scalable, and interoperable AI workflows—facilitating trustworthy collaboration between healthcare providers, research infrastructures, and industry partners.

In this context, Fed-BioMed strengthens the DDTE’s vision by bridging cutting-edge Federated AI methodologies with real-world clinical environments, ultimately contributing to more accurate AI model development, improved decision-making, and the advancement of personalised healthcare.

  • Date

    23 Apr 2026

  • Who

    Fed-BioMed Team

  • Principal Investigator

    Pirjo Spuul (Tallinn University of Technology)

  • Country

    EU for EU project

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