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

Project description

AI-based platform for managing complex diseases

Atrial fibrillation (AF) can lead to the formation of blood clots in the heart, resulting in strokes. The EU-funded ARISTOTELES project will establish a multinational data platform for developing AI approaches to manage complex diseases with comorbidities through various pathways. Employing innovative AI technology, the project seeks to assist patients dealing with AF and other intricate diseases. The integration of AI into clinical practice aims to create personalised risk assessment and management tools using patient data in an ethical manner. The focus of AF treatment is on a more comprehensive approach, emphasising timely diagnosis and treatment to mitigate disease progression, reduce disability, lower hospitalisations and decrease mortality rates. Additionally, it enhances patient adherence to treatment regimens.

Objective

The ARISTOTELES project aims to build a multinational harmonized data platform to develop and implement novel artificial intelligence (AI) approaches for management of complex diseases, where progression and manifestations of comorbidities are via multiple interacting pathways. We aim to apply our novel approach to a population of great need due to atrial fibrillation (AF), but our outputs can be extended to other complex diseases with multimorbidity. By integrating AIs into clinical practice, our platform will form a backbone for acceptable, responsible, and respectful uses of patient/participant data to develop and validate novel trustworthy AI tools for more personalized risk assessment and management. This represents a paradigm shift in AF treatment, moving from a focus on individual risk factors and selected outcomes (eg. stroke) to a holistic approach, underpinning timely diagnostic and therapeutic interventions to reduce disease progression, disability, hospitalizations and mortality, as well as improve patient adherence to lifestyle modifications, medications, and other treatment regimens.
ARISTOTELES will be delivered through 8 inter-linking work-packages (WPs): WP1 is study management/coordination. WP2 provides the ethical/legal requirements for the development of a trustworthy AI. WP3 addresses stakeholder understanding of AI, needs assessment, and engagement in all the phases of the AI development. In WP4, granular data on genotype and phenotype characteristics, are harmonized from different datasets into a common platform. In WP5, AI algorithms/tools are developed and connected to an interactive output interface for patients and clinicians. In WP6, we test the AI tool developed in WP5 in a clinical trial simulation (in silico trial). In WP7 a multicenter randomized trial runs across multiple countries including both primary care and secondary care. WP7 and WP8 drive the clinical implementation and dissemination of results.

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Topic(s)

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HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

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(opens in new window) HORIZON-HLTH-2022-STAYHLTH-01-two-stage

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Coordinator

UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 970 500,00
Address
VIA UNIVERSITA 4
41121 MODENA
Italy

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Region
Nord-Est Emilia-Romagna Modena
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 970 500,00

Participants (10)

Partners (7)

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