A Virtual Model of the Human Lower Urinary Tract
Supervisor: Dr Alberto Marzo

Lower Urinary Tract Symptoms (LUTS), including incontinence, can have devastating effects on confidence and quality of life, and represent an economic burden for the health and social services. Treatment relies on thorough and often invasive assessments that make use of catheter-guided pressure sensors to measure the transmural pressure acting on the bladder walls. The invasiveness of such an assessment not only creates discomfort for the patient but may introduce a risk of infection due to the bacteria carried by the catheter into the urinary tract.

Through the development of a numerical model of the human lower urinary tract, and through the investigation of its functioning mechanisms in the presence of a clinical condition, this project will lay the basis towards the development of less invasive assessment techniques.

Previous knowledge of the clinical subject areas is not required, although candidates should demonstrate an interest to learn those clinical aspects that are relevant to the development of the models.

This project will use the methodologies and tools developed within the Virtual Physiological Human initiative, and will be supported by the expertise available within the INSIGNEO institute.

Collaboration: Consultant Urologists at Sheffield Teaching Hospitals NHS Trust and Devices for Dignity (NHS).

me-pgadmit@sheffield.ac.uk
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