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Everything comes together in WP5. By applying cutting-edge AI and
machine learning techniques, this WP will model and analyse the data that
was collected in WP1, assembled in WP2, and facilitated by WP3 and WP4.
These models will aid in defining novel subgroups of CVD patients,
assessing CVD risk prediction, and predicting how patients respond to
treatment to improve outcomes based on individual biomarker profiles.
These models will be evaluated prospectively in WP6 (clinical validation).
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This project is supported by the Innovative Health Initiative Joint Undertaking (IHI JU) and Breakthrough T1D under grant agreement No 101112022. The JU receives support from the European Union’s Horizon Europe research and innovation programme and COCIR, EFPIA, Vaccines Europe, EuropaBio and MedTech Europe.
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the aforementioned parties. Neither of the aforementioned parties can be held responsible for them.
