The MAESTRIA programme is divided in eight work-packages (WP1-8), five scientific (WP1-5), one “outreach” (WP6) and two dedicated to project coordination and management (WP7) and Ethics issues (WP8). All work packages are tightly integrated so that data, samples, technical and computing expertise are available and shared throughout the wider collaborative programme such as data generated in one WP informing the other research and innovation activities. WP1-3 form the research task force of MAESTRIA to define new biomarkers using Machine Learning (ML) algorithms that will feed the platform: WP1 is orientated towards atrial imaging; WP2 focuses on electrical parameters and WP3 investigates molecular complexity.WP4 is clinically oriented, focussing on the development of validation datasets for ML algorithms through the retrospective analysis of cohorts from AFNET and the development of a novel specific prospective cohort. WP5 serves as an integrative analysis and data hub by providing the ML algorithms and biomarkers developed in WP1-3 with the annotated datasets assembled in WP4.WP6 conducts Dissemination, Exploitation & Valorisation of the MAESTRIA Demonstrator diagnostic platform. WP7 provides overall project management, ensuring that MAESTRIA is delivered on budget, in time and on target.
WP4 is clinically oriented, focussing on the development of validation datasets for ML algorithms through the retrospective analysis of cohorts from AFNET and the development of a novel specific prospective cohort. WP5 serves as an integrative analysis and data hub by providing the ML algorithms and biomarkers developed in WP1-3 with the annotated datasets assembled in WP4.