Arjun Panesar

Arjun Panesar is the founding CEO 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 based on his research on improving outcomes from aggregating data.

Fast forward over 23 years and Arjun has two decades' experience in big data and AI and leads the development of DDM's evidence-based precision health solutions that harness the power of AI to acheive clinically meaningful health outcomes 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. 

Arjun is a best-selling author on the topics of healthcare and AI, authoring two editions of Machine Learning and AI in Healthcare, Precision Health and Artificial Intelligence and contributing to Handbook of Global Health, a major reference work.

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

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

• Hanson, P., Summers, C., Panesar, A., Oduro-Donkor, D., Lange, M., Menon, V., & Barber, T. M. (2021). Low Carb Program Health App Within a Hospital-Based Obesity Setting: Observational Service Evaluation. JMIR Formative Research, 5(9), e29110.
• Scott, E., Shehata, M., Panesar, A., Summers, C., & Dale, J. (2022). 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, 6(1).
• Summers, C., Griffiths, F., Cave, J., & Panesar, A. (2022). 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, 6(7), e29337.
• Hanson, P., Summers, C., Panesar, A., Liarakos, A. L., Oduro-Donkor, D., Oshodi, D. W., ... & Barber, T. M. (2023). Implementation of a Digital Health Tool for Patients Awaiting Input From a Specialist Weight Management Team: Observational Study. JMIR Human Factors, 10(1), e41256.
• Abdelhameed F, Pearson E, Parsons N, Barber T, Panesar A, Summers C, de la Fosse M, Hanson P Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study JMIR Diabetes 2023;8:e47224.
• Slade, S., Zhang, L., Asadi, H., Lim, C. P., Yu, Y., Zhao, D., ... & Gao, R. (2025). Cluster search optimisation of deep neural networks for audio emotion classification. Knowledge-Based Systems, 113223.
  

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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