Master of Science by Research in Healthcare and Community Transformation - Population Health and Clinical Cohorts

Coventry University

Research within this cluster builds on Coventry University's long-standing relationship with local authorities and wider organisations (including Integrated Care Boards and the Voluntary Sector) to lead research promoting public health and wellbeing, address health inequalities and use behavioural sciences.Within the cluster there is also focus on the interface between AI and Population health. It is only by crossing fields that we are able to develop a cohesive picture of key population health issues, what we can do to detect and manage them, and how we can apply AI based technology to enhance clinical outcomes and improve quality life. Core themes:Development of novel AI empowered image-based risk prediction tools to improve diagnostic speed and accuracy, enabling earlier treatment and prevention of disease (e.g., diabetes related complications).Epidemiological modelling of electronic health records to enhance AI based risk prediction understanding, including big data approaches.Developing novel AI algorithms for analysing complex healthcare data to improve the accuracy, efficiency, and accessibility of healthcare delivery.Developing self-supervised learning and generative adversarial network models to tackle the challenges of insufficient labels and missing data in various healthcare data.

School of Health and Care