Health needs we are tackling

​

 

How can we use data science to integrate multiple data sources to predict, categorise and prevent disease? 

​

• Identifying action signals for intervention: we are integrating highly diverse data sets such as ‘omic, periconceptual, and imaging data linked to the wider environmental context.

​​

• Artificial intelligence (AI) early warning system: we are using AI to combine profiles of observable characteristics of patients with real-time data to inform clinical decision making.

​​

• Predicting individual risk: we are optimising comparative data to predict individual risk, for example by using data on dementia, cardiac rhythms, and patient e-pathway management.