Research Project

SmartCHANGE: Artificial Intelligence for healthier children and youth

ABSTRACT
AI-based long-term risk-prediction models for prevention of cardiovascular and metabolic diseases in children and adolescents.

Where: international
Challenge
The World Health Organisation indicates that over 70% of deaths worldwide is attributable to chronic non-communicable diseases (NCDs), of which biological risk factors usually emerge in adulthood. Currently, risk prediction tools are used in adults; although, many NCDs have early precursors that manifest at a young age. The identification of high-risk individuals and early behaviour change strategies could improve the primary prevention of NCDs.
Approach
To this end, SmartCHANGE aims to develop trustworthy, AI-based decision support tools to help healthcare professionals and citizens to reduce the risks of cardiovascular and metabolic diseases in patients aged 5 to 19, by promoting delivery of optimised risk-lowering strategies.
Digital Ecosystem
Solution
Digital Ecosystem

SmartCHANGE uses machine-learning methods, that can train models on heterogeneous datasets (i.e. behaviour, fitness levels, biomarkers), to enable accurate risk prediction for people of various ages; while federated learning techniques are employed to ensure data privacy. These methods are leveraged to design two apps: one for health professionals and the other for citizens, which are able to communicate in a bi-directional manner and reduce long-term risk of NCDs. Engineering is responsible for the development of a web-app for health professionals, which integrates an explainable Clinical Decision Support System and for the overall architecture design and subsequent configuration, based on microservices paradigm.

The project has received co-funding from the European Union's Horizon Europe programme - Contract No. 101080965.

Results

 

 

 

 

Reduce long-term risk of NCDs

 

 

Increase data availability for research

 

 

Improve health literacy among children and youth

 

 

Maximise long term savings for health systems

Markets
Ecosystems

Impacts

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