Approved Research

Mapping the Trajectory of Reduced Health-Span

Lay summary

We aim to create artificial intelligence models to better understand why some people seem to age faster than others and have to endure long periods of ill health (reduced healthspan). The models we build will be able to predict what can happen to an individual who chooses to maintain their current lifestyle and what possible consequences there will be in the long term. We will be able to demonstrate how their health outcomes could be improved by making lifestyle choices to help them stay healthier for longer. The models we build, along with ageing trajectories and predictive outcomes, will be based on measurements Orcino Health will derive from the UK Biobank MRI scans and used in combination with information relating to lifestyle and general health also obtained from the UK Biobank. The size of datasets we will have access to through the UK Biobank means that once we have created our predictive models, we will be able to apply them to people without MRI scans, enabling the wider population to benefit from the work we do. The project duration will be 36 months.

The potential public health impact that will come from this research will relate to an increased understanding of how simple lifestyle changes can create a lasting impact on healthspan. We will be able to explain how the body changes in response to lifestyle, showing people the detrimental changes that may occur from maintaining current unhealthy behaviours. In parallel showing the potential improvements in health and outcomes that can be achieved from small behavioural changes to lifestyle (physical activity, diet, sleep and smoking). This will be possible in individuals who have never undergone an MRI scan. It is hoped that our products and services will be motivational, educational, and encourage people to adopt current guidelines for health.