On-demand webinar: AI - what is the potential to transform diabetes care?
Joining us for this webinar is Dr Debbie Wake and Dr Chris Sainsbury where they discussed the advances in AI over recent years, what the future looks like for diabetes and AI technology, and what its potential is when it comes to transforming diabetes care.
This webinar will help you understand:
- the practical applications of AI in diabetes care
- the timescales
- the challenges for the implementation and scaling of AI in transforming diabetes care.
Please note this webinar is intended for healthcare professionals only.
This webinar has been instigated and organised by ABCD. The support from our corporate sponsors has allowed us to provide this valuable educational meeting free of charge to all delegates. Sponsors have had no input into the agenda or the selection of speakers.
Resources:
Speakers
-
Dr. Alistair Lumb
Dr Lumb is a Consultant in Diabetes at Oxford University Hospitals NHS Foundation Trust. He is Chair of the Diabetes Technology Network-UK (DTN-UK) and a member of the ExTOD (Exercise in Type One Diabetes) Steering Committee. His clinical interests also include inpatient diabetes and transplantation. -
Dr. Chris Sainsbury
Chris Sainsbury is a Consultant Physician in Endocrinology and Diabetes at Gartnavel General Hospital, Glasgow, where he has practised within NHS Greater Glasgow and Clyde for over 18 years. He holds honorary academic appointments as Clinical Reader at the University of Dundee and Senior Lecturer Fellow at the University of Glasgow, and serves as Clinical AI Lead at MyWay Digital Health, a University of Dundee spin-out focused on diabetes management.
He has an MD from the University of Glasgow, and fellowships of the Royal College of Physicians of Glasgow and the British Computer Society. He is a former CSO Innovation Fellow and current NRS Senior Research Fellow.
His research focuses on developing machine learning and foundation models for electronic health record data, with applications in cardiovascular risk prediction and diabetes. He is the developer of ASCENDgpt, a phenotype-aware transformer model for cardiovascular risk prediction, pretrained on EHR datasets from the UK and US, and which generates potential future outcomes allowing counterfactual predictions in the context of alternative therapeutic choices. Unlike many clinician-researchers, he is a hands-on coder and works directly with model architectures, tokenisation frameworks, and training pipelines.
He has contributed to grant-funded research totalling approximately £8.3 million, with around £860,000 as co-PI, spanning funders including NIHR, EPSRC, InnovateUK, MRC, and AstraZeneca. His current work includes the PRESIDE project on SGLT2-inhibitor treatment escalation and precision medicine initiatives combining EHR transformers with retinal imaging networks. He has published in journals including Diabetologia, Diabetes Care, BMJ, and iScience.
He maintains active collaborations with researchers at the Universities of Strathclyde, Dundee, Edinburgh, Oxford, Birmingham, and University College London, and has given invited talks at Diabetes UK Professional Conference and the Primary Care Diabetes Society. -
Dr. Deborah Wake
DR DEBBIE WAKE is a Clinical Reader at University of Edinburgh and NHS Diabetes Consultant, (MBChB, BSc, PhD, Clin Ed Dip). She leads national and regional research and innovation programme around data-driven scalable chronic disease management. She is also CEO and co-founder of MyWay Digital Health (MWDH) (www.mwdh.co.uk) (MWDH) (University of Dundee spin out company).
MWDHs vision is to improve the lives of people with diabetes and other chronic diseases globally through affordable, scalable data-driven solutions. MWDH solutions have been deployed in ~30% of UK NHS territories impacting on >1 m people and achieving an ROI of 5:1. MWDH now also delivers solutions internationally, notably with contracts for private healthcare organisations and government healthcare providers in the Middle East.
