Good management of chronic diseases requires ongoing monitoring and measurement. This project addresses a condition called Axial Spondyloarthritis (axSpA), an autoimmune disease which mainly affects the spine. AxSpA is normally measured in clinic by a healthcare professional, meaning much of the day-to-day variability of the condition is unrecorded. The project explores what can be achieved using only everyday devices such as smartphones and wearables, combining multimodal sensor inputs to develop a richer picture of patient mobility and function. During the research, models will be trained and developed on healthy participants, before working with the Royal National Hospital for Rheumatic Diseases to evaluate them in patients with active disease. We hope the project could unlock vastly more frequent disease measurement, building towards targeted and potentially pre-emptive care, and better outcomes for patients with axSpA.
AI-enabled healthcare, computer vision, digital health, wearables, digital biomarkers, rheumatology,
Prior to his PhD, Greg served as a Captain in the Royal Electrical and Mechanical Engineers, specialising in rotary aviation on the Boeing AH64E. He holds an MPhys from the University of Manchester, and a PGDip in Leadership and Strategic Studies from Henley Business School. Greg is also an Incorporated Engineer registered with the Institution of Mechanical Engineers and holds Chartered Manager status with the Chartered Management Institute.
Dr Christopher Clarke
Dr Ben Metcalfe
