Using AI to Manage Complex Diseases – Technology Org

A University of Liverpool researcher will co-lead a €6 million project to transform healthcare using artificial intelligence (AI) for personalised disease care.

Using AI to Manage Complex Diseases – Technology Org

Artistic depiction of heart inside a human chest. Image credit: University of Liverpool

Professor Gregory Lip, Price-Evans Chair of Cardiovascular Medicine, University of Liverpool and Director of the Liverpool Centre for Cardiovascular Science, is working with Professor Giuseppe Boriani, University of Modena and Reggio Emilia on ARISTOTELES, a Horizon Europe-funded project.

Over five years, 18 partners from 10 European countries aim to develop a multinational AI platform, starting with atrial fibrillation (AF). This heart condition causes an irregular and often abnormally fast heart rate. The goal is to create trustworthy AI tools for predicting and managing complex diseases.

Unlike traditional AI, this project actively guides patient management, engaging patients and caregivers for a more interactive healthcare experience.

ARISTOTELES focuses on AF but plans to extend its tools to other complex diseases. The innovative AI approach assesses risk and progression, considering associated conditions like heart failure and diabetes.

The project values a patient-centred approach, empowering individuals with AI to make informed decisions, adopt healthier lifestyles, and play an active role in their health.

Professor Gregory Lip said: “This is a novel and innovative project harnessing the power of AI in the management pathway for atrial fibrillation, the commonest cardiac rhythm disorder, and an increasingly major public health burden. Our multidisciplinary collaboration integrates data scientists and clinicians, facilitating the translation of novel AI methods to practical applications. 

“We are all very excited by the opportunities our project offers and our learnings can be applied to many other chronic long-term conditions.” 

ARISTOTELES, short for ‘Applying ARtificial Intelligence to define clinical trajectorieS for personalized predicTiOn and early deTEction of comorbidity and muLtimorbidity pattErnS’, is a key strand of work within the Civic Health Innovation Labs (CHIL). CHIL is an interdisciplinary research centre tackling global health challenges with civic data and technology while driving positive change for the people of the Liverpool City Region.

Source: University of Liverpool