Three scientists looking at artificial research science

Collaboration between Swansea, Birmingham and Oxford Universities secures funding for AI research

22 August

Researchers at Swansea University’s National Centre for Population Health and Wellbeing Research (NCPHWR), funded by Health and Care Research Wales, are working in partnership with Birmingham and Oxford Universities to better understand multi morbidity through the use of Artificial Intelligence (AI).

The partnership is among 22 AI for health research projects that share £13m from UK Research and Innovation (UKRI). The project aims to transform health using AI to assist and refine diagnostics and procedures.

Multi-morbidity is the existence of two or more long-term health conditions and is one of healthcare’s biggest challenges. The project, led by Oxford University, has secured £640,000 to accelerate research into a foundation AI model for clinical risk prediction that could determine the likelihood of future health problems based on an individual’s existing conditions.

Professor Sinead Brophy, Director of the National Centre for Population Health and Wellbeing Research, said: “This work is taking a new pioneering approach to understanding disease and how one condition can lead to another and another condition in the same person, there needs to be a new approach to tackling multiple complex diseases, and we at the NCPHWR Data Lab are very proud to be part of the ground-breaking work of Professor Yau and his team in Oxford University.”

Read more about the project on the Population Data Science website.