Ecosystems of Innovation in Healthcare: Ensuring Trust,
Quality & Ethics in Data Use

Friday, November 14th
9:00 – 10:30 a.m. CET
DGI-Byen, Room 2.B / Enghave Plads & Kodbyen

The HealthData4EU Cluster will host the session “Ecosystems of Innovation in Healthcare: Ensuring Trust, Quality & Ethics in Data Use” at the European Big Data Value Forum (EBDVF) 2025, organised by BDVA – Big Data Value Association, taking place in Copenhagen, Denmark, on 12–14 November 2025.

This year in Copenhagen, AISym4MED – Horizon Europe, FLUTE Project – AI & Prostate Cancer, IHI-SYNTHIA, and SECURED EU project will represent the cluster on-site, sharing their latest insights and innovations. The session will explore how these initiatives are shaping the future of health data, from synthetic data generation and privacy-preserving technologies to secure data spaces that ensure trust, quality, and ethics in AI-driven healthcare.

SECURED Project’s Coordinator Francesco Regazzoni will share insights about secure and interoperable data spaces from the “infrastructure” perspective, showing how the approaches introduced by the other projects are scalable across Europe. He will show the features of the SECURED InnoHUB and will explain, by means of specific use cases, how they can be used in the medical domain, to ensure trust in the data, guarantee their quality, and achieve privacy by constructions.

The SECURED InnoHUB, developed by the SECURED project, is a one stop collaboration hub that provides a secure and trusted environment for decentralized, cooperative processing of health data through privacy preserving techniques or through generation of synthetic data.

Serena Marshall will represent the project IHI-SYNTHIA. She will provide a broader, systemic perspective by presenting a large-scale, multi-disease, multi-modal synthetic data initiative focusing on six use cases (including oncology and neurology), while addressing important regulatory and ethical questions such as the AI Act and trust frameworks. The presentation will also explore how synthetic data can be assured for use in personalised medicine, highlighting both the opportunities and challenges it presents. It will also consider the central question of trust: does synthetic data appear real or fake, and how does that affect confidence in its use?

Jan Ramon will represent the FLUTE Project. His presentation will focus on privacy-preserving AI and federated learning, illustrating how FLUTE applies these methods to improve the prediction of aggressive prostate cancer. By keeping data securely within hospitals while enabling collaborative learning, FLUTE shows how AI can be developed without compromising patient privacy. He will also touch on fairness and representativeness in medical AI, exploring how to make models more reliable across different patient groups and geographic contexts. This perspective bridges the discussion from synthetic data generation to real-world clinical application, showing what it takes to build AI systems that doctors can trust in practice.

Luís Rosado will represent AISYM4MED. His presentation will introduce AISYM4MED’s approach to synthetic healthcare data generation, focusing on how fidelity, diversity, and privacy can be evaluated and balanced to ensure realistic, high-quality, and privacy-preserving datasets. The presentation will highlight the retina use case, where AISYM4MED is adapting general-purpose Stable Diffusion models to generate diverse and realistic synthetic retinal images that can support the development of AI-based tools in ophthalmology.

Join the session or stop by the HealthData4EU booth to connect with us throughout the Forum!