Available
Project number:
2025_89
Start date:
October 2025
Project themes:
Main supervisor:
Co-supervisor:
Additional Information:
Predictive Modelling of Thromboembolic Diseases Using Physics-Informed Neural Networks
To address this, we propose developing groundbreaking physics-informed neural networks (PINNs) that merge mechanistic and statistical models. These PINNs will provide patient-specific, dynamic risk assessments to tailor anticoagulation therapy in clinical settings. Focusing on arrhythmias in the left atrium and deep vein thrombosis (DVT), our objectives are: (1) develop PINNs combining mechanistic and statistical modelling; (2) apply these PINNs to thrombus prediction in arrhythmia patients; and (3) extend the PINNs to predict DVT risks.
The project comprises three stages. First, we will develop PINNs integrating blood flow and coagulation equations with clinical data, creating neural networks capable of capturing patient-specific variability by leveraging conservation laws. Next, we will apply these PINNs to predict thrombus formation in arrhythmia patients, integrating patient-specific anatomical models to identify high-risk atrial regions. Validation will compare PINN predictions with clinical observations to inform personalized anticoagulation therapy. Finally, we will extend the PINNs to DVT, adapting them to venous geometries and hemodynamics.
This project is novel and important as it pioneers the integration of PINNs with patient-specific data to create dynamic, interpretable models for real-time risk assessment of thromboembolism, enabling personalised and timely anticoagulation therapy in two widespread conditions
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 30 January 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 March 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
