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CoLive is a large international mobile cohort for people living with a chronic disease. Data will be collected through a smartphone app & participants will be followed for a minimum of 10 years.
The World Diabetes Distress Study is a worldwide study on the determinants and health effects of diabetes distress using data from Twitter and Artificial Intelligence (AI) methods.
This research program aims to study how the data generated by connected devices can be leveraged to identify digital biomarkers for a more personalised and timely prevention.
This research project aims to improve tertiary prevention after cancer and to understand how activity trackers can contribute to a better lifestyle, psychological and overall health after cancer.
The objective of this research is to collect information about the use and utility of digital health in disabled population, including older participants.
Studying physical activity behaviour using accelerometry data
The PASH research group and the DEH hub collaborate to map out the multidimensional and/or complex metrics used to provide a comprehensive picture of an individual's physical activity behaviour.
