27th June 2022
Diabetes and AI
Bringing together experts in AI, diabetes-related healthcare and science, this workshop will explore challenges and opportunities for cross-disciplinary research across Surrey and beyond, aiming towards a better life for people with diabetes.
Diabetes is a common disease and a priority area in the 2019 NHS long-term plan. Every week diabetes leads to more than 169 amputations, 680 strokes, 530 heart attacks and 2,000 cases of heart failure . In the UK, 1 in 16 people suffer from diabetes, resulting in an estimated rise to 5 million people by 2025 . The number rises to 1 in 11 (463 million) world-wide , with China, India, the United States and Latin America being the most affected. Total annual cost of diabetes is over £10 billion to NHS ; £14 billion for absenteeism, early retirement, and social benefits . At both a personal and population level, diabetes is an incredibly difficult disease to manage.
Recent advances in Artificial Intelligence (AI) have allowed for improved management of diabetes. From Continuous Glucose Monitoring (CGM)  to closed-loop insulin delivery systems , AI has slowly been introduced into diabetes care. More recent advances to AI, such as Deep Learning technology, are also starting to be used to predict risk factors from nutrigenetics to aid in diagnosis or as part of an imaging pipeline to identify common complications such as diabetic retinopathy. However, there is still much more to be done in this field to fully exploit the use of AI to support monitoring and management of diabetes.
This workshop will give participants the opportunity to understand the challenges in diabetes research and how AI can help solve them, as well as explore and develop further ideas for cross-disciplinary research.
The workshop will take place in 01/02 CII LG, James Clerk Maxwell Building (CII), Stag Hill Campus, University of Surrey, GU2 7XH.
Dr Simon Mezgec, Jožef Stefan Institute
Dr Marika Kaaniken, University of Surrey
Prof Vimal Karani, University of Reading
Dr Aisling Kane, Bristol University
Dr Oscar Mendez, Centre for Vision, Speech and Signal Processing (CVSSP)
Dr Shelini Surendan, School of Biosciences and Medicine
Dr Danuta Sampson, Centre for Vision, Speech and Signal Processing (CVSSP)
Prof. Vimal Karani, University of Reading
Prof. Christian Heiss, School of Biosciences and Medicine
Dr Debbie Cooke, School of Health Sciences
Dr Ben Field, School of Biosciences and Medicine
 Shah, Anoop Dinesh, et al. "Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1· 9 million people." The lancet Diabetes & endocrinology 3.2 (2015): 105-113.
 Government Office for Science. Future of an ageing population. 2016
 www.diabetes.co.uk/cost-of- diabetes.html
The report for this workshop is available to download below.get_appDownload Report