Available
Project number:
2025_72
Start date:
October 2025
Project themes:
Main supervisor:
Professor of Population & Digital Health Sciences
Co-supervisor:
Additional Information:
Feasibility of a large language model-powered health coach integrated with wearable data for lifestyle modifications in young adults
Background
The rising prevalence of non-communicable chronic diseases (NCDs) poses a significant public health challenge worldwide. Unhealthy lifestyle behaviours, such as dietary choices, physical inactivity, and smoking, are key modifiable risk factors for NCDs. Lifestyle interventions in early adulthood are crucial for primary prevention; however, achieving sustained behavioural change remains challenging due to inadequate support. Health coaching is a person-centred approach that effectively promotes healthier habits and enhances self-management of chronic diseases, but faces scalability challenges. Integrating digital health technologies, such as wearable devices and large language models (LLMs), offers a solution. Wearables provide real-time data, while LLMs can automate coaching, offering personalized advice at scale. Working in synergy, they could enhance data interpretation and provide tailored, contextualised feedback, facilitating sustainable behaviour change. However, research on the impact of LLM-based coaching platforms remains limited, focusing primarily on the quality of coaching outputs rather than health outcomes.
Novelty & Importance
The novelty of this approach lies in integrating LLMs with real-time physiological and behavioural data from wearable devices, offering highly personalized and adaptive health coaching. Previous efforts in health coaching automation have often relied on scripted interactions, limiting their capacity to provide nuanced responses. This study will be the first clinical evaluation of an LLM integrated with wearable data to deliver health coaching aimed at improving physical activity levels among young adults. Successful completion of this study is expected to contribute valuable evidence supporting the larger-scale clinical evaluation of generative AI in medicine.
Aims & Objectives
The primary aim is to determine the feasibility of using LLMs for delivering health coaching interventions to enhance physical activity levels among young adults. Specific objectives include exploring user preferences, developing a personalized LLM health coach, evaluating its feasibility and acceptability, and assessing its effect on health outcomes.
We are now accepting applications for 1 October 2025
How to apply
Candidates should possess or be expected to achieve a 1st or upper 2nd class degree in a relevant subject including the biosciences, computer science, mathematics, statistics, data science, chemistry, physics, and be enthusiastic about combining their expertise with other disciplines in the field of healthcare.
Important information for International Students:
It is the responsibility of the student to apply for their Student Visa. Please note that the EPSRC DRIVE-Health studentship does not cover the visa application fees or the Immigration Health Surcharge (IHS) required for access to the National Health Service. The IHS is mandatory for anyone entering the UK on a Student Visa and is currently £776 per year for each year of study. Further detail can be found under the International Students tab below.
Next Steps
- Applications submitted by the closing date of Thursday 6 February 2025 will be considered by the CDT. We will contact shortlisted applicants with information about this part of the recruitment process.
- Candidates will be invited to attend an interview. Interviews are projected to take place in April 2025.
- Project selection will be through a panel interview chaired by either Professor Richard Dobson and Professor Vasa Curcin (CDT Directors) followed by informal discussion with prospective supervisors.
- If you have any questions related to the specific project you are applying for, please contact the main supervisor of the project directly.
For any other questions about the recruitment process, please email us at