Predictive biomechanics for aortic dissection prevention

Aortic dissection is a medical emergency caused by a tear in the aortic wall, with a staggering 50% mortality rate within 30 days for those who survive long enough to reach a hospital. While a dilated aorta is a known precursor, current size-based thresholds for surgery are unreliable, as most dissections occur below these limits.

This project will focus on identifying factors that better predict which patients are likely to suffer a dissection. This research is critical for enabling early preventative surgery, thereby reducing premature death and morbidity. The data you collect and your findings will support the development of a cutting-edge artificial intelligence platform designed to integrate imaging, clinical, and demographic factors for improved diagnosis.

Our goal

To identify biomechanical factors through medical imaging that predict which patients with dilated aortas are at risk of dissection, moving beyond current, unreliable size thresholds.

Your colleagues

You will join a multidisciplinary team of bioengineers and academic cardiovascular surgeons dedicated to translating fundamental biomechanical insights into tangible health solutions.

What you will do

• Combine medical imaging from CT and 4D flow MRI and biomechanical analysis to identify predictive factors for AD.
• Identify factors that allow for early preventative surgery, reducing premature death and morbidity.
• Support the development of an AI platform by collecting data and developing techniques to integrate clinical and demographic factors.
  
• Collaborate with clinical partners to translate your findings into improved treatment protocols.
  

• Academic background – You hold a degree in Biomedical Engineering, Biomechanics, Medical Imaging, or Medicine. Interested candidates must have a GPA equivalent to first-class honours in their qualifying degree. Experience in biomedical engineering or medical imaging would be an advantage.

• Research Interest – You have a strong interest in mechanical analysis, cardiovascular health, and the integration of AI in clinical diagnostics.

• Initiative – You are a committed and motivated researcher ready to push the boundaries of predictive medicine.

This project is eligible for funding but is subject to eligibility criteria & funding availability.

Page expires: 14 October 2026