Project description
AI and smart sensors to improve management of chronic obstructive pulmonary disease
Chronic obstructive pulmonary disease (COPD) refers to a group of diseases associated with breathing-related problems that affect millions of people worldwide. COPD is very heterogeneous, necessitating personalised treatment and management approaches. However, due to extrapulmonary effects and comorbidities, patients often do not respond to pharmacological and non-pharmacological treatments. To address this problem, the EU-funded TOLIFE project proposes to develop an AI solution that processes daily life patient data captured by unobtrusive sensors. The AI-based platform will predict COPD exacerbations and assess health outcomes. Using a patient management tool, clinicians can then offer early and personalised treatment, improving quality of life of patients.
Objective
Chronic obstructive pulmonary disease (COPD) is a highly prevalent chronic condition. While COPD is a lung disease, it is mainly the exacerbations and extrapulmonary comorbidities which affect the quality of life, health care costs, and prognosis. The optimal COPD treatment needs to focus on both the characteristics and consequences of the lung disease itself and the diagnosis and treatment of comorbidities. While the severity of lung function impairment is routinely assessed, the exacerbations, the associated comorbidities and limitations in daily life are still significantly underestimated. A personalized approach to COPD management is needed to specifically address the disease, prevent exacerbations, and mitigate its comorbidities to obtain a positive impact on patient health and quality of life.
TOLIFE will clinically validate an artificial intelligence (AI) solution to process daily life patient data captured by unobtrusive sensors to enable optimised personalised treatment, assessment of health outcomes and improved quality of life in COPD patients. The TOLIFE approach to COPD management, targeted to predict and mitigate exacerbations and continuously assess the health outcomes, has the potential to reduce mortality, improve health related quality of life and reduce the healthcare costs.
TOLIFE will develop and clinically validate an AI-based platform for the early prediction of exacerbations and assessment of the health outcomes. Prediction of exacerbations and assessment of health outcomes will be exploited by clinicians through a patient management tool to perform early and personalized treatment. TOLIFE platform will inform through a disease information tool the patient and caregivers about the patient's health status, the specific treatment plan and lifestyle indications. Two clinical studies will be implemented, one to collect data for AI-tools development and the other to validate the effectiveness of TOLIFE to reduce the risk of exacerbations.
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
56126 Pisa
Italy