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Synthetic Data Generation Framework for Integrated Validation of Use Cases and AI Healthcare Applications

Project description

Protecting healthcare data with synthetic solutions

Access to high-quality medical data is crucial for advancing healthcare research, but patient privacy concerns and strict regulations limit data availability. Traditional methods of anonymising data often fall short of protecting sensitive information. Additionally, the complexity of healthcare data, including genomics and imaging, makes it challenging to generate accurate synthetic alternatives. Without reliable solutions, progress in datadriven healthcare innovation is hindered. In this context, the EU-funded SYNTHIA project tackles this issue by improving Synthetic Data Generation (SDG) for healthcare applications. Focused on six diseases, SYNTHIA develops new techniques to create realistic, multimodal, and longitudinal data, while ensuring transparency and security. The open SYNTHIA platform will provide researchers with validated synthetic datasets and tools, accelerating healthcare advancements without compromising patient privacy.

Objective

SYNTHIA is an ambitious collaboration between public and private institutions to facilitate the responsible use of Synthetic Data (SD) in healthcare applications. The project will improve the methodological and technical aspects of SD Generation (SDG) by developing new techniques and advancing established ones for different data modalities, including genomics and imaging, to improve the generation of realistic multimodal and longitudinal data.
This project will provide the research community with approaches for transparent benchmarking of alternative SDG methods for specific applications, identify and establish evaluation metrics and methodologies, and contribute to the standardisation of an evaluation assessment framework for SD. Robust evidence of SD applicability in a set of use cases across a broad spectrum of medical conditions will be crucial to demonstrate the potential of SD to accelerate data-driven solutions of equivalent quality to those derived from real patient data. Furthermore, legal and regulatory implications of SD use will be analysed with the aim of delivering an assurance framework to guide secure SD utilization in healthcare.
These significant breakthroughs will be implemented through the open SYNTHIA federated platform, facilitating responsible SD use by the health research community. The platform will facilitate users´ long-term access to extensively validated, reusable synthetic datasets, as well as to SDG workflows and SD assessment frameworks. The federated infrastructure will rely on extended open-source frameworks for interoperability with other data-sharing infrastructures in the context of the European Health Data Space.
A multidisciplinary collaboration of SDG developers, FAIR data experts, clinical researchers, developers of therapies and data-based tools, legal experts, socio-economic analysts, regulatory, policy advocacy, and communication experts will provide a 360º vision on how to advance healthcare applications through SD use.

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-JU-IHI-2023-05

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Coordinator

FUNDACION PARA LA INVESTIGACION DEL HOSPITAL UNIVERSITARIO LA FE DE LA COMUNIDAD VALENCIANA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 812 018,75
Address
AV FERNANDO ABRIL MARTORELL 106
46026 Valencia
Spain

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Region
Este Comunitat Valenciana Valencia/València
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 812 018,75

Participants (32)

Partners (6)

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