Imagine if your health record was like a movie of your whole life instead of just a snapshot of today. This work looks at how things we encounter from birth—like environment and habits—lead to having multiple chronic diseases as we get older. By spotting these patterns early, it helps doctors create a personalized plan to keep people healthy and independent for longer.
Healthcare systems are struggling with a tipping point where healthy life expectancy is stagnating while the prevalence of multi-morbidity increases. This creates immense pressure on public finances and a shrinking workforce.
An AI-powered prediction system for multi-morbidity, a neighbourhood healthy ageing index, and a FAIR life-course health and geospatial data portal.
If you are a health-tech AI startup dealing with inaccurate disease prediction for seniors — this project developed AI-powered person-centred predictions of multi-morbidity that improve early diagnosis and screening. This allows for more precise preventative care tools.
If you are a private long-term care provider dealing with high costs of complex multi-morbidity management — this project developed a neighbourhood healthy ageing index and care interventions. This helps in designing more efficient, needs-based care services.
If you are a preventative medicine developer dealing with a lack of longitudinal data on ageing — this project developed a FAIR life-course health and geospatial data portal. This provides a structured way to analyze how biological hallmarks lead to disease over time.
Based on available project data, no specific pricing or cost models for the end-products are provided.
The project aims to create transferable person-centred solutions and a data portal, suggesting a design intended for broad application across European regions.
Based on available project data, specific licensing terms are not mentioned, though the project emphasizes FAIR (findable, accessible, interoperable and reusable) data principles.
The project period runs from 2024-01-01 to 2029-12-31, indicating that final validated solutions will be available toward the end of 2029.
The project focuses on creating evidence-based solutions to support the transformation of healthcare and will be co-designed with healthcare providers.
The consortium is heavily weighted toward research with 13 universities and 2 research institutes, but maintains a significant commercial edge with a 23% industry ratio (5 partners). The inclusion of 4 SMEs suggests a focus on agile technology transfer and the development of scalable digital health tools across 11 different countries.
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