Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context

AIM-CISC is a three-year research programme looking into multiple long-term health conditions (MLTCs) in the UK. As the population grows and people are living longer, the impact of MLTCs on both the population and the health and care system intensifies. This project aims to produce a detailed picture of MLTCs in the United Kingdom - how they present in individuals and through families, the influence that place and community has on MLTCs, and how people with MLTCs are treated by the health services. The results of this research can be used to inform future strategies in dealing with this issue.

AIM-CISC is funded by the National Institute for Health and Care Research. Reference number: NIHR202639

Data flock (faces)

Clustering of MLTCs in individuals

Colourful DNA model

Genomics of MLTC clustering

Connections amongst Twitter Users

MLTC clustering in communities and places

A rendering of medical swabs & pills in a jar seen through a refractive glass grid, overlaid with a diagram of a neural network.

Developing AI tools to devise interventions

Providing oversight and advice.

Providing input from people with multi-morbidities.


This project uses data from theĀ Clinical Practice Research Datalink (CPRD), a database of anonymised patient data from GP practices around the UK. The AIM-CISC multi-study license with CPRD enables us to obtain data for other researchers.

If you have a query about this, please contact us using the button at the top of this page.

Links to research outputs from the programme will be published here.