Combining Artificial Intelligence and smart sensing TOward better management and improved quality of LIFE in chronic obstructive pulmonary disease

HealthHORIZON-RIAID: 101057103
EC Contribution
€63,682
Consortium Size
15 orgs
Start Year
2022
Summary

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.

Consortium (15)

Project Results (13)

Source: CORDIS, the EU research results database.

Publications (9)
DEMO: A Multi-Modal Approach for Monitoring COPD Patients - the TOLIFE Project
2025 IEEE International Conference on Smart Computing (SMARTCOMP)· 2025DOI
Francesco Di Rienzo, Lucia Arcarisi, Francesco Bossi, Manuel Torres Brabo, Pasquale Bufano, Nicola Carbonaro, Alberto Greco, Carlotta Marinai, Eleonora Melissa, Gianluca Rho, Victor Segura Ruiz, Michele Zanoletti, Patricia Abril-Jiménez, Marco Laurino, Alessandro Tognetti, Carlo Vallati
Recent Evidences of Epigenetic Alterations in Chronic Obstructive Pulmonary Disease (COPD): A Systematic Review
International Journal of Molecular Sciences· 2025DOI
Rosetta Ragusa, Pasquale Bufano, Alessandro Tognetti, Marco Laurino, Chiara Caselli
Estimating Heart Rate Variability from Wrist-Worn Photoplethysmography Devices in Daily Activities: A Preliminary Convolutional Denoising Autoencoder Approach
2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)· 2024DOI
Gianluca Rho, Nicola Carbonaro, Marco Laurino, Alessandro Tognetti, Alberto Greco
Information (Switzerland)
Sensors· 2024DOI
M. Zanoletti , P. Bufano; F. Bossi; F. Di Rienzo; C. Marinai; G. Rho; C. Vallati; N. Carbonaro; A. Greco; M. Laurino; A. Tognetti
Preliminary Assessment of the Samsung Galaxy Watch 5 Accuracy for the Monitoring of Heart Rate and Heart Rate Variability Parameters
MEDICON '23 and CMBEBIH '23· 2024DOI
G. Rho; F. Di Rienzo; C. Marinai; F. Giannetti; L. Arcarisi; P. Bufano; M. Zanoletti; F. Righetti; C. Vallati; M. Laurino; N. Carbonaro; A. Tognetti; A. Greco
Smart Mattress Cover for Unobtrusive Monitoring of Sleep-Quality Correlates in Real-Life
2024 IEEE SENSORS· 2024DOI
Carlotta Marinai, Lucia Arcarisi, Francesco Bossi, Pasquale Bufano, Francesco Di Rienzo, Eleonora Melissa, Gianluca Rho, Michele Zanoletti, Alberto Greco, Marco Laurino, Carlo Vallati, Nicola Carbonaro, Alessandro Tognetti
Smart Sensors for Daily-Life Data Collection Toward Precision and Personalized Medicine: The TOLIFE Project Approach
Medicon '23 and CMBEBIH '23· 2024DOI
N. Carbonaro; M. Laurino; A. Greco; C. Marinai; F. Giannetti; F. Righetti; F. Di Rienzo; G. Rho; L. Arcarisi; M. Zanoletti; P. Bufano; M. Tesconi; N. Sgambelluri; D. Menicucci; C. Vallati; A. Tognetti
Using Multiple Devices for Patient Monitoring in Clinical Studies: The TOLIFE Experience
IEEE International Conference on Pervasive Computing and Communications Workshops· 2024DOI
Francesco Di Rienzo, Francesca Righetti, Marco Laurino, Alberto Greco, Carlotta Marinai, Irene Di Mambro, Eleonora Melissa, Nicola Carbonaro, Francesco Bossi, Gianluca Rho, Lucia Arcarisi, Michele Zanoletti, Pasquale Bufano, Alessandro Tognetti, Carlo Val
Digital Phenotyping for Monitoring Mental Disorders: Systematic Review
Journal of Medical Internet Research· 2023DOI
P. Bufano; M. Laurino; S. Said; A. Tognetti; D. Menicucci
Deliverables (3)
Websites, patent fillings, videos etc.
Websites, patent fillings, videos etc.
Other Results (1)
Periodic Reporting for period 2 - TOLIFE (Combining Artificial Intelligence and smart sensing TOward better management and improved quality of LIFE in chronic obstructive pulmonary disease)