Precision medicine data science for type 2 diabetes

Summary

Using data science to improve type 2 diabetes care by predicting optimal treatment for an individual based on their clinical characterises.

How are we doing it?

Our research will use large-scale health datasets, including anonymised NHS records from the Clinical Practice Research Datalink (CPRD), which contains data on over 1 million individuals with type 2 diabetes, as well as information from industry-led clinical drug trials and the UK Biobank. We will apply a range of machine learning and statistical models to analyse these datasets and develop our prediction models. Patient and public involvement will play a crucial role in shaping our approach, particularly in defining what constitutes disease progression in type 2 diabetes.

What happens next?

The findings from this research could be used to assist clinicians in deciding the optimal treatment for each patient, allowing for a more personalised approach in the management of type 2 diabetes

Funding

NIHR Exeter BRC

People Involved

Dr John Dennis 

Collaborators

Dr Beverly Shields (co supervisor), Dr TJ McKinley (co supervisor), Dr Katie Young (co supervisor)