QUALITOP : Monitoring multidimensional aspects of QUAlity of Life after cancer ImmunoTherapy - an Open smart digital Platform for personalized prevention and patient management

Key information / Informations

•    Funding programme / Programme de financement: H2020
•    Coordinator / Coordinateur: HCL
•    Partners’ list / Liste des partenaires :

HOSPICES CIVILS DE LYON
UNIVERSITE CLAUDE BERNARD LYON 1
UNIVERSITE LUMIERE LYON 2
CENTRE HOSPITALIER REGIONAL UNIVERSITAIRE DE BESANCON
INSTITUTO PORTUGUES DE ONCOLOGIA DE LISBOA FRANCISCO GENTIL EPE
CONSORCI INSTITUT D'INVESTIGACIONS BIOMEDIQUES AUGUST PI I SUNYER
ACADEMISCH MEDISCH CENTRUM BIJ DE UNIVERSITEIT VAN AMSTERDAM
LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE ROYAL CHARTER
SCIENTIFIC ACADEMY FOR SERVICE TECHNOLOGY EV
EUROPEAN CANCER PATIENT COALITION
ACADEMISCH ZIEKENHUIS GRONINGEN
THE GENERAL HOSPITAL CORPORATION
UNIVERSITA DELLA CALABRIA
LYON INGENIERIE PROJETS

•    Budget : 5 196 772,50€
•    Grant / Subvention : 5 196 772,50€
•    Début – Fin : 01/01/2020- 31/12/2024

Context / Contexte

Cancer immunotherapy brought about significant progress in cancer treatment. Nevertheless, two main challenges still impede improving cancer patients’ health status and quality of life (QoL) after immunotherapy initiation: 1) a crucial need for ‘predictive markers’ of occurrence of immunotherapy-related adverse events (IR-AEs) to predict and improve patients’ health status and promote their QoL; and, 2) the lack of knowledge on patients’ QoL after start of immunotherapy outside randomised controlled trials.

Objectives / Objectifs

The QUALITOP project aims at developing and implementing an IT-based European immunotherapy platform and using big data analysis, artificial intelligence, and simulation modelling approaches to collect and aggregate efficiently and effectively real-world QoL data, monitor patients’ health status, conduct causal inference analyses, create harm-reduction recommendations for patients and other stakeholders, and disseminate the findings.

Expected impact and results / Impact et résultats attendus

An open-access smart digital platform and a medical data lake will be developed to enable exchanging and sharing trusted and secure data with automated and robust controls based on FAIR (Findable, Accessible, Interoperable, Reusable) principles combining security and privacy-preservation of data. Heterogeneous data from different sources will be collected to conduct causal statistical analyses. Using machine learning approaches, nearly ‘real-time’ recommendations depending on the patient’s profile and feedback on the platform will be drawn.

LIP’s contribution / Rôle de LIP :

Lyon Ingénierie Projets will mainly ensure efficient project management, assist the coordinator with the monitoring of the different work packages, and overall financial and administrative management. LIP will be the contact point and a support for the coordinator and all partners as regards project administration and financial rules, as well as IPR rules.