Projects in Biomechanics informed prediction of fracture risk in the elderly

Project description

There is an urgent need to improve the detection and diagnosis of osteoporosis in Australia in order to initiate early treatment and prevent unnecessary and costly fractures.  The aim  is to develop finite element based fracture risk prediction software using CT scans that are being taken for other reasons. The use of this software with so called opportunistic CT scans will significantly increase the number of people screened for osteoporosis, reduce the number of fractures, improve patients lives and reduce the overall cost of treatment to the healthcare system. Projects are available developing: the automated pipeline to generate, solve and post-process the data and explore the application of AI to reduce the computational time.  Projects are available looking at either the proximal femur or the lumbar vertebrae.

Assumed knowledge

A background in solid mechanics and basic programming in either Matlab or Python

Supervisors research focus

The main focus of my research is the development of computational tools in the broad area of research associated with in silico medicine.  I have research interests ranging from diagnosis of osteoporosis using computational models, through pre-clinical testing, in silico clinical trials and post market surveillance.

Note: You need to register interest in projects from different supervisors (not a number of projects with the one supervisor).
You must also contact each supervisor directly to discuss both the project details and your suitability to undertake the project.