by Luca Remotti | May 19, 2026 | A prototype of a European Health Data Space in Cardiovascular Disease management, Artificial Intelligence (Machine Learning, Deep Learning), Federated Learning; Genomic Data; Cardiovascular Disease; Privacy-Enhancing Technologies; GWAS; Synthetic Data; Secure Aggregation, Personalised Cardiovascular Medicine
Fusing genomics and AI to personalise heart care The NextGen project integrates genomics and clinical data into AI systems to revolutionise the prevention, diagnosis and treatment of cardiovascular diseases. CORDISÂ is the European Commission’s primary source for...
by Luca Remotti | Apr 13, 2026 | NextGen, A prototype of a European Health Data Space in Cardiovascular Disease management, Press Release
EU NextGen project advances personalised cardiology by integrating genomic and clinical data into AI models Key takeaways One of the key issues around developing personalised approaches for prevention, diagnosis, monitoring and treatment is the integration of multiple...
by Luca Remotti | Mar 23, 2026 | Uncategorized
Overview In recent years, there has been increasing concern about the risks associated with data usage, particularly regarding data sharing. This has led to the introduction of regulations which impose stricter rules on data management. These regulations significantly...
by Luca Remotti | Feb 24, 2026 | Uncategorized, Federated Learning; Genomic Data; Cardiovascular Disease; Privacy-Enhancing Technologies; GWAS; Synthetic Data; Secure Aggregation
Federated learning in NextGen is adopted as a practical operating model for collaboration: multiple clinical and research sites can contribute to shared analyses on Genetics and Cardiovascular Disease while keeping data under their local governance. In the activities...
by Luca Remotti | Feb 18, 2026 | Uncategorized, Federated Genomics, Genetic Data Protection, Privacy-reserving analytics
Federated genomics is a distributed approach for managing and analysing human genomic data without consolidating it in a single location. Large-scale discovery needs cohorts spanning institutions and countries, yet genomes and linked clinical data are sensitive,...