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Home / Projects / DataTools4Heart

A European Health Data Toolbox for Enhancing Cardiology Data Interoperability, Reusability and Privacy

VISION: Cardiovascular disease is the main cause of mortality worldwide, representing about a third of annual deaths, and patients’ medical care produces a large amount of data. DataTools4Heart will design methods to reuse such data to facilitate research and improve the conditions of cardiovascular patients. The DataTools4Heart toolbox will be designed, tested, and implemented in several countries while ensuring the compliance of all legal (e.g., privacy) constraints in the cardiology domain.

MISSION: DataTools4Heart aims to improve the lifestyle of patients suffering from cardiovascular diseases by developing a comprehensive, federated, privacy-preserving toolbox for data reuse in cardiology. The tools include a platform that will securely access data from different hospitals and transform them into their digital counterparts (synthetic data) to be used by researchers and clinicians across the world. The access into large-scale multi-source cardiology data will be facilitated by the creation of virtual assistants.

FOCUS: Through the capacity of all its participants and the consortium, DataTools4Heart will focus on unlocking currently inaccessible cardiovascular health data. DataTools4Heart operates in response to the European Society of Cardiology (ESC) call for a major shift towards integrative data-driven approaches to develop personalised cardiovascular medicine. Multi-site federated health data use will be allowed, thanks to the contributions from clinical centres from seven EEA countries, namely Spain, the Netherlands, United Kingdom, Italy, Sweden, Romania, and Czech Republic. They will constitute a representative sample of the European healthcare landscape, to contribute to the creation of the European Health Data Space. OBJECTIVES: DataTools4Heart will create a comprehensive cardiology data toolbox for clinicians, researchers, and data scientists. Tools will allow data ingestion and harmonisation, Natural Language Processing in multiple languages, federated machine learning and data synthesis. Virtual assistants will aid users in navigating large multi-source cardiology data while adhering to European regulations and data standards

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101057849

Principal Investigator: Dott. Alfredo Cesario

Budget: € 260.250 Duration: October 2022 – September 2026

Website: https://www.datatools4heart.eu

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