Trajectories and transitions of biomarkers in Dementia in the context of multimorbidity

Nearly a million people in the UK live with dementia, a condition that affects memory, thinking, and behaviour. This project aims to better understand how dementia progresses in individuals, based on factors like age, sex, ethnicity, and the presence of other long-term conditions. By examining health records and using advanced statistical and artificial intelligence methods, the team seeks to identify patterns in health indicators such as blood pressure and blood sugar levels. This could lead to earlier and more affordable ways of predicting dementia, without the need for costly tests.

Our findings could revolutionise the early detection and management of dementia, offering new insights into biological ageing and multimorbidity. By collaborating with various organisations, including Oxford's Departments of Engineering and Statistics, we aspire to enhance the role of healthcare providers in diagnosing and managing dementia and related conditions more effectively.