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Project logo, purple capital letters “BETTER” with a yellow line running underneath, decorated with small circles and branches, heartbeats between the Ts, the E enclosed in a purple and yellow circle.

BETTER

Contact
Employee photo Ms. Ana Grönke
Ana Grönke (Dr. rer. nat.) Project Coordinator / Data Steward / Research Officer at University of Cologne
Project Status
running
Kick-off Date
December 1, 2023

Description

Better real-world health-data distributed analytics research platform In recent years, data-driven medicine has gained increasing importance in terms of diagnosis, treatment, and research due to the exponential growth of healthcare data. The linkage of cross-border health data from various sources, including genomics, and analysis via innovative approaches based on artificial intelligence (AI) will enable a better understanding of risk factors, causes, and the development of optimal treatment in different disease areas. Nevertheless, the reuse of patient data is often limited to datasets available at a single medical centre. The main reasons why health data is not shared across institutional borders rely on ethical, legal, and privacy aspects and rules. Therefore, in order to (1) enable health data sharing across national borders, (2) fully comply with present GDPR privacy guidelines / regulations and (3) innovate by pushing research beyond the state of the art, BETTER proposes a robust decentralised privacypreserving infrastructure which will empower researchers, innovators and healthcare professionals to exploit the full potential of larger sets of multi-source health data via tailored made AI tools useful to compare, integrate, and analyse in a secure, cost-effective fashion; with the very final aim of supporting the improvement of citizen’s health outcomes. In detail, this interdisciplinary project proposes the co-creation of 3 clinical use cases involving 7 medical centres located in the EU and beyond, where sensitive patient data, including genomics, are made available and analysed in a GDPR-compliant mechanism via a Distributed Analytics (DA) paradigm called the Personal Health Train (PHT). The main principle of the PHT is that the analytical task is brought to the data provider (medical centre) and the data instances remain in their original location. In this project, two mature implementations of the PHT (PADME and Vantage6) already validated in real-world scenarios will be fused together to build the BETTER platform. The Project is granted by the European Union (EU) Grant Agreement No. 101136262.

Collaboration Partner

Datrix Learn More
Maastricht University Learn More
Politecnico di Milano Learn More
Universitat Politècnica de València Learn More
Aston University Learn More
University of Tromsø Learn More
Sant Joan de Déu (SJD) Barcelona Children's Hospital Learn More
Institut de Recerca Sant Joan de Déu (IRSJD) Learn More
ASST Fatebenefratelli Sacco Learn More
Fundació Docència i Recerca Mutua de Terrassa (FDiRMT) Learn More
Health Research Institute Hospital La Fe (IIS La Fe) Learn More
University of Belgrade Learn More
Hadassah Medical Center Learn More
Noosware Learn More
Rheasoft Learn More

This project is supported by

Funded by European Union
Loko - UK Research and Innovation