ARISTOTELES – Artificial Intelligence for Better Management of Complex Diseases

ARISTOTELES (Applying ARtificial Intelligence to Define clinical trajectorieS for personalized predicTiOn and early deTEctiOn of comorbidiTy and muLti-morbidiTy pattErnS) is an international research project funded by the EU’s Horizon Europe program (grant agreement no. 101080189). The project aims to develop and implement artificial intelligence (AI) in healthcare to improve the management of complex, chronic diseases – with a special focus on atrial fibrillation (AF).

Purpose
The project will develop predictive AI tools capable of identifying disease progression and the interactions between multiple coexisting diseases (multimorbidity). By integrating clinical, social, and lifestyle-related data, ARISTOTELES seeks to support a more precise, personalized, and preventive approach to treatment.

Focus Area
Atrial fibrillation is used as a model disease in the project, as it is one of the most common heart rhythm disorders and often occurs alongside other chronic diseases such as heart failure and stroke. The project is developing tools to support healthcare professionals in decision-making and in the early detection of related conditions.

Research Areas
ARISTOTELES is organized into work packages covering the following themes:

• Ethical and responsible use of artificial intelligence in healthcare
• Patient and family involvement in the development of AI solutions
• Harmonization and integration of health data across countries
• Development of AI algorithms for individual risk assessment
• Clinical studies, including randomized controlled trials testing AI technology
• Communication and dissemination of results to the healthcare sector and the public

Consortium
The project is jointly led by experienced researchers from the University of Modena and Reggio Emilia (UniMoRe) and the University of Liverpool, and involves 18 partners from 10 European countries, including universities, hospitals, technology companies, and patient organizations. Aalborg University leads the work on data infrastructure and integration, and participates in several key work packages with important scientific contributions.

Goal
The goal of ARISTOTELES is to support the healthcare system of the future with data-driven decision-making tools that can promote early intervention, increase patient safety, and ensure more effective treatment of complex disease courses.