Our proposal on AI and Multimorbidity: Clustering in Individuals, Space and Clinical Context (AIM-CISC) receives funding from the NIHR!

The National Institute for Health Research (NIHR) has decied to fund our proposal on Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context (AIM-CISC). The project, worth £3.9M over 3-years, will employ around 10 postdoctoral researchers across Informatics, the Usher Institute, the Roslin Institute, GeoSciences and SSPS.

The overall programme will be led by Bruce Guthrie (PI), with Jacques Fleuriot as the AI Lead in Informatics. The other members of the Informatics team are Sohan Seth and Valerio Restocchi.

Some project details:

Long-term conditions are health issues which persist over years, with many people having more than one long-term condition (e.g. having both diabetes and asthma). This is known as multimorbidity and often seriously affects how well people feel and what they are able to do. The aim of the project is to use Artificial Intelligence techniques — spanning areas such as machine learning, network science, knowledge graphs and process mining — along with social science and health service research methods, to create a better understanding of common, disabling patterns of multimorbidity and help improve the quality and safety of care.