HORIZON-HLTH-2026-01-DISEASE-11 Collaboration Offer

As Doğuş Teknoloji, we can develop a comprehensive data platform that aggregates health-related information from existing registries, cohorts, and population-based biobanks. This platform will ensure data integration and management in compliance with FAIR principles, enabling secure and standardized access for research purposes. Leveraging advanced AI and machine learning techniques, the platform will analyze these datasets to identify patterns and correlations across variables such as gender, age, and other relevant determinants. These insights will support the development of tailored risk models and innovative strategies for prevention, detection, diagnosis, and treatment of cardiovascular diseases, ultimately reducing disease burden and improving healthcare outcomes.

-          Building on the integrated health data platform, Doğuş Teknoloji also will focus on developing advanced predictive models to estimate cardiovascular risk for diverse patient profiles. By establishing meaningful relationships among demographic, clinical, and lifestyle variables, these models will enable a deeper understanding of individual risk patterns. Leveraging AI-driven analytics, the approach will provide healthcare professionals with actionable insights to support personalized prevention and treatment strategies. This contribution will help transform raw data into precise, patient-centered risk forecasts, ultimately improving decision-making and reducing the overall burden of cardiovascular diseases.

We can satisfy the below scope/outcomes of the call:

-          Make use of existing health data, including registries or cohorts, and/or assess the necessity to establish new ones, as well as, where relevant, exploit the knowledge gained from population-based biobanks. In case of the generation of new data, it should be managed in line with the FAIR[4] principles, when relevant.