PHASE IV AI Horizon Europe Project Privacy compliant health data as a service for AI development

Artificial intelligence (AI) enables data-driven innovations in health care. AI systems, which process vast amounts of data quickly and in detail, show promise both as a tool for preventive health care and clinical decision-making. However, the distributed storage and limited access to health data form a barrier to innovation, as developing trustworthy AI systems requires large datasets for training and validation. Furthermore, the availability of anonymous datasets would increase the adoption of AI-powered tools by supporting health technology assessments and education.

Secure, privacy compliant data utilization is key for unlocking the full potential of AI and data analytics. Companies developing AI solutions would benefit from synthetic microdata for early-stage development, provided on-demand and with privacy guarantees. For researchers and clinicians interested in aggregate data or modelling, multi-party computation allows deriving insights from the distributed real-world data. In this way, providing synthetic data and multi-party computation as a service will boost data-driven innovation without compromising the privacy of data subjects.

On October 24-26, 2023, twenty project partners from ten European & Associated countries (i.e. Finland, Belgium, Spain, Portugal, Luxembourg, Austria, Italy, Turkey, Switzerland and United Kingdom) met together physically in Helsinki to launch the PHASE-IV-AI project activities and discuss the procedures that the consortium will follow during its implementation period as well as the work to be carried out the upcoming period. The meeting was attended by the Project Officer Ms. Serena Battaglia from the European Health and Digital Executive Agency (HaDEA) of European Commission as well as more than 50 experts from leading edge universities and research centres, technology providers as well as prominent end-users from the healthcare sector. The PHASE IV AI is a project funded by the European Union’s Horizon Europe research and innovation program under grant agreement number 101095384 with a lifecycle of thirty-six months.

PHASE-IV-AI will advance the current state-of-the-art data synthesis methods towards a more generalized approach of synthetic data generation. PHASE-IV-AI will develop metrics for testing and validation. 

To this end, PHASE-IV-AI aims to:

• Improve methods and technical pipelines for privacy-preserving data synthesis including different data formats such as Electronic Health Records (EHRs) and medical images.
• Provide easy to use and configurable data services to enable AI developers’ access to larger pools of decentralized de-identified data through multi-party computing.
• Provide anonymous data on demand or from a (temporary) repository.
• Establish a Data Market – facilitating data sharing and monetization including incentives-based provision of data to the services.
• Integrate the data market and the data service ecosystem as a X-European health data hub in the European Health Data Space, and
• Validate the results with real-world use-cases focusing on high impact diseases, cancer types in particular.

Specifically, the developments of PHASE-IV-AI project will be validated in 3 real life use cases in relevant high impact diseases comprising (i) Lung Cancer, (ii) Prostate Cancer, and (iii) Ischemic Stroke. All the three diseases are key topics of the European Health ecosystem. Lung Cancer as well as Prostate Cancer are among the top 3 priorities in tackling cancer, neurodegenerative diseases are one of the most relevant issues with the EU’s ageing population.

In the PHASE IV AI project, VTT is leading the work package focused on defining and collecting requirements and specifications for the project's methods, data, and solutions. Additionally, VTT is exploring the quality and validity of synthetic medical data, with a particular emphasis on methods for generating synthetic medical images. From a utilization standpoint, VTT investigates the limitations and advantages of using synthetic data in the development of decision support systems for medical staff. Moreover, VTT is overseeing how the PHASE IV AI solutions align with the upcoming EHDS Act's standards and requirements.

Assoc. Prof. Antti Airola, Principal Investigator. Turun yliopisto | University of Turku, Faculty of Technology | Department of Computing. email: [email protected]

Prof. Tapio Pahikkala, Principal Investigator. Turun yliopisto | University of Turku, Faculty of Technology | Department of Computing. email: [email protected]

Ms. Riitta Pöntynen, Project Coordinator. Turun yliopisto | University of Turku, Tutkimuspalvelut | Research Services. email: [email protected]

At a Glance

Consortium

Project website and social media