Arjun Panesar

Arjun Panesar is the founding Chief Executive Officer (CEO) and Head of AI and Ethics of DDM Health.

It was during the first year of his undergraduate Master's degree in Computing and Artificial Intelligence (AI) at Imperial College, London in 2002 that his grandfather, Anupam, was diagnosed with type 2 diabetes after suffering a quadruple heart bypass.

Not knowing how to manage his lifestyle in a way that suited his cultural and social expectations, Anupam turned to Arjun for guidance on what to eat. It was at this point Arjun founded Diabetes.co.uk, a global community for people with diabetes built on the idea that data and peer support can improve outcomes.

More than two decades on, Arjun leads the design of evidence-based, precision health platforms that use AI to achieve clinically meaningful results and reduce health inequalities.

Arjun’s work has received international recognition featuring in the BBC, Forbes, New Scientist, The Scotsman, Daily Mail and The Times, been awarded an array of innovation, business, and technology awards. 

A best-selling author, Arjun wrote Machine Learning and AI in Healthcare (two editions) and Precision Health and Artificial Intelligence, and contributed to Springer’s Handbook of Global Health.

Arjun has a number of roles: 

• Advisor to Information School, University of Sheffield
• Honorary Associate Professor at Warwick Medical School, University of Warwick
• Lecturer at WMG, University of Warwick
• Mentor at Institute for Global Health, University College London

Arjun was recognised by Imperial College as an Alumni Leader for his contribution and impact to society.

Teaching

Arjun teaches the following topics:

BSc - Health and Medical Sciences

• Artificial Intelligence
• Ethics

MB ChB SSC1 - Digital Doctor

• Data and the Digital Phenotype
• Ethics

For PhD or student project enquiries, please contact us.

Publications

• Evaluation of the Digital Support Tool Gro Health W8Buddy as Part of Tier 3 Weight Management Service: Observational Study — Journal of Medical Internet Research, 2025-05-16. doi:10.2196/62661
• Cluster search optimisation of deep neural networks for audio emotion classification — Knowledge‑Based Systems, 2025-04. doi:10.1016/j.knosys.2025.113223
• AI Hesitancy and Acceptability: Perceptions of AI Chatbots for Chronic Health Management and Long COVID Support: Survey Study — JMIR Human Factors, 2024-07-23. doi:10.2196/51086
• ‍Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study — JMIR Diabetes, 2023-12-28. doi:10.2196/47224
• ‍Implementation of a Digital Health Tool for Patients Awaiting Input From a Specialist Weight Management Team: Observational Study — JMIR Human Factors, 2023-05-31. doi:10.2196/41256
• ‍Understanding the Security and Privacy Concerns About the Use of Identifiable Health Data in the Context of the COVID‑19 Pandemic: Survey Study of Public Attitudes Toward COVID‑19 and Data‑Sharing — JMIR Formative Research, 2022-07-07. doi:10.2196/29337
• The Low Carb Program for people with type 2 diabetes and pre‑diabetes: a mixed methods feasibility study of signposting from general practice — BJGP Open, 2022-03. doi:10.3399/BJGPO.2021.0137
• Low Carb Program Health App Within a Hospital‑Based Obesity Setting: Observational Service Evaluation — JMIR Formative Research, 2021-09-23. doi:10.2196/29110
  

Books

• Machine Learning and AI in Healthcare: First Edition, Springer Apress (2019).
• Machine Learning and AI in Healthcare: Second Edition, Springer Apress (2021).
• Precision Health and Artificial Intelligence, Springer Apress (2023).

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