Medical Engineering x Data Science
Medical engineering has traditionally been an experimental field, where surgeons hand-sculpt implants on the patient’s bedside directly before implantation, and implant materials are developed through extensive laboratory and animal experimentation. Computational methods have the ability to predict implant designs and materials optimal for tissue integration, mechanical function, and longevity, surpassing the need for extensive and expensive laboratory experimentation to better translate promising technologies.
Our research in Computational Medical Engineering includes: programming algorithms for intelligent medical imaging diagnoses, writing software which translates medical images into optimal 3D printing instructions, simulation-based optimisation of 3D printed device biomechanics or fluid dynamics, and predictive histological modelling to characterise the growth of cells in tissue or in 3D printed implant devices. These computational techniques are intertwined throughout Biofabrication and Tissue Morphology (BTM) research streams to produce better, personalised therapies.
Funding Support
- 2018 – 2019 SEF Pilot Project Grant
- 2019 IHBI ECR Development Grant
- 2019-2022 Advanced Queensland Fellowship
- 2019-2021 IHBI Inter-Theme Collaboration Grant
- 2020-2022 GOstralia! PhD Scholarship
- 2020-2021 Royal Brisbane & Women’s Hospital Foundation Grant
- 2020-2021 QUT ECR Grant
Chief Investigators
Other Team Members
- Prof Matthew Simpson
- Prof Zhiyong Li
- Dr Pascal Buenzli
- Dr David Alonso-Caneiro
- Dr David Holmes
- Dr Arutha Kulasinghe
- Dr Craig Winter (RBWH)
- Dr Marita Prior (RBWH)
Publications
- Allenby, Mark C., Liang, Ee Shern, Harvey, James, Woodruff, Maria A., Prior, Marita, Winter, Craig D., Alonso-Caneiro, David (2021) Detection of clustered anomalies in single-voxel morphometry as a rapid automated method for identifying intracranial aneurysms. Computerized Medical Imaging and Graphics, 89, pp.Article number: 101888.
- Buenzli, Pascal, Lanaro, Matthew, Wong, Cynthia, McLaughlin, Max, Allenby, Mark, Woodruff, Maria, Simpson, Matthew (2020) Cell proliferation and migration explain pore bridging dynamics in 3D printed scaffolds of different pore size. Acta Biomaterialia, 114, pp.285-295.
- Paxton, Naomi C., Lanaro, Matthew, Bo, Arixin, Crooks, Nathan, Ross, Maureen T., Green, Nicholas, Tetsworth, Kevin, Allenby, Mark C., Gu, YuanTong, Wong, Cynthia S., et al. (2020) Design tools for patient specific and highly controlled melt electrowritten scaffolds. Journal of the Mechanical Behavior of Biomedical Materials, 105, pp.Article number: 103695 1-8.
