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Health, Agri-food and Bioeconomy





6 M€

Total budget




AISym4Med aims at developing a platform that will provide healthcare data engineers, practitioners, and researchers access to a trustworthy dataset system augmented with controlled data synthesis for experimentation and modeling purposes. This platform will address data privacy and security by combining new anonymization techniques, attribute-based privacy measures, and trustworthy tracking systems.


AISym4Med will help in the creation of more robust machine learning (ML) algorithms for real-world readiness, while considering the most effective computation configuration. Furthermore, a machine learning meta-engine will provide information on the quality of the generalized model by analyzing its limits and breaking points, contributing to the creation of a more robust system by supplying on-demand real and/or synthetic data.


The expected impact, in line with the Strategic Plan, is to contribute to assuring European leadership of breakthrough health technologies and strategic autonomy in essential medical supplies and digital technologies, contributing to job creation and economic growth, in particular with SMEs. Moreover, the identification of needs to the scaleup and take-up of solutions at the national, regional, or local level, respecting European standards, including for operations involving health data. Finally, offering to the Health industry significant improvements in health outcomes, while benefits from decreased time-to-market.


This project has received funding from the European Union’s Horizon Europe research and innovation programme, under grant agreement No. 101095387.

Susana Garayoa

“The project will develop tools that will give a new perspective and vision of how we can help people achieve a better state of health in common diseases.”

Susana Garayoa

Dissemination and Communication Coordinator

Team involved


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