WARIFA - Watching the Risk Factors
Principal Investigator
Name
Giovanni Sebastiani
Degrees
Ph.D.
Institution
Institute for applied mathematics "Mauro Picone" (IAC)
Position Title
Senior Researcher
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1521
Initial CDAS Request Approval
Apr 2, 2024
Title
WARIFA - Watching the Risk Factors
Summary
The management of chronic conditions (CCs) represents an increasing burden on health care systems in Europe and worldwide. They are on the rise, and represent 86% of all deaths in Europe. Furthermore, across Europe there are major disparities in life expectancy with differences between EU member states of up to 7.7 years for women, and 11 years for men. Health care systems also have to deal with multimorbidity, due to both lifestyle choices and the inherent health issues of an aging population. As a consequence, patients often have to manage a certain CC (including medication, lab tests and clinical examinations) while at the same time implementing advice on behavioural lifestyle interventions for other CCs, e.g., to stop smoking, increase physical activity, eat healthy food, etc.
Many risk factors are closely related to lifestyle, and changing the lifestyle may significantly influence the outcome of CCs.
The main objective of the project is to develop a technical prototype of a comprehensive AI-based system to provide person-centred integrated early risk prediction for multiple CCs. The main components of the system will be in place on a central server which individual citizens and patients can access on their smartphone via the WARIFA app. The integrated risk prediction enables the system to provide and improve access to preventive care within the healthcare system.
The included CCs are melanoma, cardiovascular diseases (CVD), type 1 diabetes (T1D) and chronic respiratory diseases.
Many risk factors are closely related to lifestyle, and changing the lifestyle may significantly influence the outcome of CCs.
The main objective of the project is to develop a technical prototype of a comprehensive AI-based system to provide person-centred integrated early risk prediction for multiple CCs. The main components of the system will be in place on a central server which individual citizens and patients can access on their smartphone via the WARIFA app. The integrated risk prediction enables the system to provide and improve access to preventive care within the healthcare system.
The included CCs are melanoma, cardiovascular diseases (CVD), type 1 diabetes (T1D) and chronic respiratory diseases.
Aims
- Identification of the main risk factors influencing occurrence of melanoma
- Quantification of risk of melanoma occurrence based on relevant risk factors
- Personalized intervention to minimize risk of occurrence of melanoma
Collaborators
Ornella Moro - Institute for applied mathematics "Mauro Picone" (IAC) - National Research Council of Italy (CNR)
Thomas Roger Schopf - Norwegian Center for E-Health Research
Miroslav Muzny - Norwegian Center for E-Health Research
Conceição Granja - Norwegian Center for E-Health Research