Available
Project number:
2025_67
Start date:
October 2025
Project themes:
Main supervisor:
Consultant Transplant Surgeon
Co-supervisor:
Professor James Teo
Additional Information:
Systematic assimilation of routinely collected clinical data for risk stratification and outcome prediction in liver transplantation
Background
In the last decade, increasing numbers of NHS hospitals are using electronic systems to routinely record data on the health of patients (electronic health records; EHR), including those who have had a liver transplant. The information that is recorded electronically includes results of blood tests, medical and surgical diagnoses, radiological images, and hospital admissions.
Novelty & Importance
The anonymous use of the data contained in the EHR can be enormously valuable for researchers interested in understanding the reasons why liver transplant patients develop more health issues and die earlier than the general population. Firstly, EHRs can be used to define in great detail and at a very large scale how the health of liver transplant patients evolves over time. Secondly, EHRs are part of routine clinical practice and therefore obtaining these data does not incur in additional costs. Thirdly, given that the information recorded is in electronic format, it can be readily analysed using cutting-age computer-based statistical packages to speed up the process of scientific discovery
Aims & Objectives
To maximise the use of electronic healthcare records as a method of improving patient outcomes following liver transplantation. Once combined from different sources, the routinely collected data will be anonymised and used to answer a large number of research questions. As part of an ongoing process, we consulted patients to identify and answer the questions that are most important to them. These questions included assessing the impact of age, socioeconomic status and immunosuppression on outcomes following liver transplantation.
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