“SEARCH will enable institutions to share and analyse data securely, keeping patient data in its original location”
We have launched the SEARCH initiative aimed at innovation in AI for Healthcare, through synthetic data
The SEARCH initiative aims to generate high-quality synthetic data that replicates real patient data, while respecting privacy and existing regulations. This data will be used to develop AI-driven tools, facilitating more accurate diagnostics, personalised treatments and enhanced health outcomes.
Through advanced federated learning techniques, SEARCH will enable institutions to share and analyse data securely, keeping patient data in its original location. This will drive innovation in the development of new drugs, diagnostics and health policies, accelerating the use of AI in medicine.
The Synthetic healthcare data governance hub (SEARCH) is a European initiative that seeks to revolutionise healthcare research by creating synthetic data and AI-driven healthcare solutions. Coordinated by Trinity College Dublin and with an initial budget of €15.2 million, SEARCH brings together 26 partners from all over Europe, including synthetic data experts, healthcare providers and technology developers.
Key innovations of SEARCH
- Next-generation synthetic data: creating realistic replicas of healthcare data while maintaining privacy.
- Federated Learning and Data Clean Rooms for Privacy & Scale: secure collaboration between institutions, protecting sensitive information.
- Accelerated AI innovation: development of data-driven medical decision support tools.
TECNALIA’s role
TECNALIA provides experience in the development of tools to help in the diagnosis using different imaging modalities for cases of pathological anatomy and colon cancer studies. This project will work on the development of multi-modal deep learning models, including different imaging modalities and clinical data, to develop better diagnostic tools to support the development of personalised medicine.
As part of this work, synthetic data and image generation methods will be proposed to improve the accuracy of the models. These models will be validated by experts in pre-clinical phases in order to bring these AI-driven tools into clinical practice.
Members of the SEARCH Consortium
The SEARCH consortium is made up of 26 institutions and companies from all over Europe, highlighting its multidisciplinary and collaborative approach.
Members include: Trinity College Dublin (Coordinator), IQVIA RDS Ireland Ltd, DQ Technologies AG, Medicalvalues GmbH, Corsano Health BV, Syntheticus AG, IBM Ireland Limited, Takeda Pharmaceuticals International AG, Philips Medical Systems Technologies Ltd, University of Thessaly, Simula Metropolitan Centre for Digital Engineering, TECNALIA, Odense University Hospital, Region of Southern Denmark, Sahlgrenska University Hospital, University of Copenhagen, Maggioli SPA, Ubitech Limited, Fundacio TIC Salut i Social, German Oncology Center, Motilent Limited, Amgen N.V., Hemex Benelux, Sant Pau Hospital, Hellenic Healthcare Group, Byte Solutions Unlimited and Adaptit GmbH.
This European initiative has the potential to transform healthcare, improving innovation in digital health and reducing the time needed to bring new solutions to market.
