Applying ARtificial Intelligence to Define clinical trajectorieS for personalized predicTiOn and early deTEctiOn of comorbidiTy and muLtimorbidiTy pattErnS

The ARISTOTELES project, part of the founded UE project HORIZON, is a pioneering initiative focused on the application of artificial intelligence (AI) for the detection and management of comorbidities in patients suffering from Atrial Fibrillation (AF). Led by the University of Modena and Reggio Emilia, which serves as the central coordinating institution, this project will last 60 months and it brings together more than 20 European and UK centers to work collaboratively in addressing the pressing healthcare challenges associated with AF. The ARISTOTELES project is structured around eight interlinked work-packages (WPs) that collectively contribute to the successful realization of its goals. These work-packages are as follows: 1. WP1 - Study Management/Coordination: In this initial work-package, the project's management and coordination are established, ensuring that all project activities are seamlessly organized and executed. 2. WP2 - Ethical/Legal Requirements for Trustworthy AI Development: The second work-package, WP2, is dedicated to defining the ethical and legal prerequisites for the development of AI systems. Ensuring that the AI used in the project is trustworthy, reliable, and aligned with legal standards is paramount. 3. WP3 - Stakeholder Engagement and Needs Assessment: WP3 focuses on fostering stakeholder engagement by comprehensively understanding their needs and ensuring their active participation throughout the AI development process. 4. WP4 - Data Harmonization: WP4 is concerned with harmonizing granular data on genotype and phenotype characteristics gathered from various datasets. This harmonization allows for a unified and comprehensive data platform. 5. WP5 - AI Algorithm Development and Interactive Interface: In this work-package, AI algorithms and tools are developed and seamlessly integrated with an interactive interface. This interface is designed to facilitate the interaction between patients and clinicians, aiding in the early detection of comorbidities in AF patients. 6. WP6 - Clinical Trial Simulation (In Silico Trial): WP6 undertakes the critical task of testing the AI tool developed in WP5 through a clinical trial simulation (in silico trial). This phase ensures that the AI system is rigorously evaluated before its implementation in clinical settings. 7. WP7 - Multicenter Randomized Trial: One of the core components of the ARISTOTELES project, WP7, oversees a multicenter randomized trial. This trial spans multiple countries and encompasses both primary care and secondary care, reflecting the project's commitment to widespread and diverse testing. 8. WP8 - Clinical Implementation and Dissemination: WP8 takes charge of driving the clinical implementation of AI-based solutions developed within the project and disseminating the results to the broader medical community. The ARISTOTELES project is an ambitious undertaking that capitalizes on the potential of AI to redefine clinical trajectories and improve the early detection and management of comorbidities in Atrial Fibrillation patients. By bringing together a consortium of European and UK centers under the leadership of the University of Modena and Reggio Emilia, it exemplifies the collaborative spirit of European research and the commitment to advancing healthcare through cutting-edge technology and multidisciplinary expertise. Through the meticulous execution of its eight work-packages, the ARISTOTELES project strives to not only revolutionize the treatment of AF patients but also pave the way for the ethical and responsible utilization of AI in the healthcare sector.