Projects
Effectiveness and cost-effectiveness of a personalised digital prevention network for high-cardiovascular-risk patients. KU Leuven
Recent studies have shown that cardiovascular prevention throughout Europe is still highly suboptimal. Digital health can play a key role in improving this. In the proposed study, a digitally assisted personalised prevention program will be used to achieve better risk factor control in high-cardiovascular-risk patients, also those without known cardiac disease. Central to the program are patient autonomy and self-care as well as high primary ...
Effectiveness and cost-effectiveness of a personalised digital prevention network for highcardiovascular- risk patients. Hasselt University
Integrative computer modeling of cardiorespiratory fitness for personalised profiling and prevention of early-stage heart failure KU Leuven
The surging burden of heart diseases on our society calls for tools that can adequately detect and control heart diseases before disease symptoms present. Clinical exercise tests could improve the characterisation and management of subclinical stages of cardiac disease. Yet, current practice only considers a limited selection of cardiopulmonary exercise indexes in isolation. To utilise the full value of clinical and exercise testing data, in ...
Defining the role of exercise testing and cardiac rehabilitation in the detection and prevention of early-stage heart failure: a roadmap to personalised profiling KU Leuven
Integrated computer modelling of cardiorespiratory fitness for personalised risk profiling and heart failure prevention KU Leuven
Clinical exercise tests could improve the personalized risk profiling and management of cardiovascular disease. Yet, current practice only considers a limited selection of cardiopulmonary exercise indexes in isolation. To utilize the full value of clinical exercise testing data, we will apply advanced machine learning (ML) approaches on big data that has been collected/will be collected in patients at UZ Leuven (n=1800) and within the general ...
Integrated computer modelling of cardiorespiratory fitness for personalised risk profiling and heart failure prevention (iCAREFIT) KU Leuven
Advanced personalised, multi-scale computer models preventing OsteoArthritis KU Leuven
Osteoarthritis (OA) is a degenerative disease of the articular cartilage and the most common form of arthritis that causes joint pain, mobility limitation and, thus, reduces independence and overall quality of life. Although the usual population associated with the condition is the elderly (65 years old ranges from 12- 30%), who are mostly inactive, athletes and younger individuals are also susceptible. Whilst the available data have ...
A PeRsOnalized Prevention roadmap for the future HEalThcare Ghent University
The change from the treatment of established diseases to prevention is a challenge. The development of targeted interventions represents a promising paradigm shift, making personalised approaches the future of prevention. In this context, PROPHET will support the implementation of innovative, sustainable and effective personalised programmes to prevent common chronic diseases, through the development of a strategic research&innovation ...
A PeRsOnalized Prevention roadmap for the future HEalThcare KU Leuven
PROPHET - a PeRsOnalized Prevention roadmap for the future HEalThcare"" will develop a Strategic Research and Innovation Agenda (SRIA) for Personalized Prevention, in order to support the implementation of innovative, sustainable and effective personalized programmes to prevent common chronic diseases. Technological biomedical advances (including omics data and digital tools) make risk stratification at the individual level possible. However, ...