Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models. The methods developed in this project are expected to generate new ways of studying the dynamic response of musculoskeletal tissues to activity, including how musculoskeletal physiology can adapt to biomechanical stimuli. Expected outcomes include establishing a non-invasive method for characteris ....Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models. The methods developed in this project are expected to generate new ways of studying the dynamic response of musculoskeletal tissues to activity, including how musculoskeletal physiology can adapt to biomechanical stimuli. Expected outcomes include establishing a non-invasive method for characterising whole joint systems. This project will provide significant knowledge gain on the biomechanical regulation of human joints across form, function, dynamics and loading which may help across many facets of society to guide physical activity choices.Read moreRead less
Understanding bone structure evolution using machine learning. Bone remodeling is the ancient process of bone resorption and formation that optimises material properties and has led to evolution of terrestrial vertebrates. To date it is not understood how remodeling achieves tuning of bone material. This proposal aims to develop a machine learning based approach, linking computational modeling and imaging to address this problem. Intended outcomes are development of a multiscale model of remodel ....Understanding bone structure evolution using machine learning. Bone remodeling is the ancient process of bone resorption and formation that optimises material properties and has led to evolution of terrestrial vertebrates. To date it is not understood how remodeling achieves tuning of bone material. This proposal aims to develop a machine learning based approach, linking computational modeling and imaging to address this problem. Intended outcomes are development of a multiscale model of remodeling and machine learning algorithms for image analysis. This approach will help establish a structural-functional link between remodeling and bone material optimisation which ultimately provides significant benefits for bone tissue engineering, fracture healing and improved therapies for osteoporosis. Read moreRead less
A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on health ....A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on healthy spinal disc cells. We expect our technological framework to become an invaluable tool for biomedical engineers, biologists, and bio-engineers to work together and generate clinically relevant in-vitro data that supports optimisation for spinal implant design, fabrication, and safety. Read moreRead less
Brain-skull interface: discovering the missing piece of head biomechanics. Overall objective of this project is to measure, mathematically describe and implement in software mechanical properties of brain-skull interface – a critical component of current large and sophisticated computational models of the brain and the last missing piece of brain biomechanics knowledge. This will allow increased reliability of comprehensive biomechanical models used to simulate realistic injury and surgery scena ....Brain-skull interface: discovering the missing piece of head biomechanics. Overall objective of this project is to measure, mathematically describe and implement in software mechanical properties of brain-skull interface – a critical component of current large and sophisticated computational models of the brain and the last missing piece of brain biomechanics knowledge. This will allow increased reliability of comprehensive biomechanical models used to simulate realistic injury and surgery scenarios.
The problem is significant and urgent. Every year in Australia, there are over 22,000 cases of traumatic brain injury, some of which could be prevented by better passive and active countermeasures; and over 12,000 neurosurgical procedures that surgical simulation could make more accurate and therefore safer.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101683
Funder
Australian Research Council
Funding Amount
$448,354.00
Summary
Computational Design of Defect-Free Additive Manufactured Ceramic Structure. Despite its importance and potential, ceramic additive manufacturing (AM) is facing significant challenge for its inherent material characteristics prone to shrinkage and fracture during fabrication process. This project aims to fill a knowledge gap by developing a new computational design framework for a commonly-used indirect AM process. It will address a range of AM issues, such as residual stress/distortion, cracks, ....Computational Design of Defect-Free Additive Manufactured Ceramic Structure. Despite its importance and potential, ceramic additive manufacturing (AM) is facing significant challenge for its inherent material characteristics prone to shrinkage and fracture during fabrication process. This project aims to fill a knowledge gap by developing a new computational design framework for a commonly-used indirect AM process. It will address a range of AM issues, such as residual stress/distortion, cracks, and uncertainty in a nondeterministic context. The study is expected to establish novel design methodologies for ceramic AM with process modelling, robust/reliable optimisation, and fracture-based design. It will provide ceramic industry with a new framework for biomedical, aerospace and mechanical applications.Read moreRead less
Replicating the cartilage micromechanical environment. Through a novel, image-guided mechanical evaluation of cell- and tissue-level remodelling, this project aims to unlock new insights into the complex mechanical microenvironment of cartilage and directly influence new strategies in tissue engineering. The research will reveal contributions of cells and extracellular matrix components to mechanical integrity over time. It will build a world-first strain map of the cartilage microenvironment an ....Replicating the cartilage micromechanical environment. Through a novel, image-guided mechanical evaluation of cell- and tissue-level remodelling, this project aims to unlock new insights into the complex mechanical microenvironment of cartilage and directly influence new strategies in tissue engineering. The research will reveal contributions of cells and extracellular matrix components to mechanical integrity over time. It will build a world-first strain map of the cartilage microenvironment and quantification of dynamic structural remodelling that occurs, providing key targets to improve tissue engineering strategies. The project will also drive innovation in micromechanical testing technology, deliver functional solutions in mechanobiology and advance materials for biological integration.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101128
Funder
Australian Research Council
Funding Amount
$444,154.00
Summary
Decode Neuro-Mechanobiology:mechanosensitive ion channels in proprioception. Human bodies are densely covered with numerous mechanosensory neurons that provide us with the sense of touch and pain. However, the molecular force sensors remain poorly identified. This project aims at defining the fundamental roles of mechanosensitive ion channels to sense and respond to various mechanical stimuli, and how their responses may encode mechanical cues.The ultimate goal is to provide a fundamentally new ....Decode Neuro-Mechanobiology:mechanosensitive ion channels in proprioception. Human bodies are densely covered with numerous mechanosensory neurons that provide us with the sense of touch and pain. However, the molecular force sensors remain poorly identified. This project aims at defining the fundamental roles of mechanosensitive ion channels to sense and respond to various mechanical stimuli, and how their responses may encode mechanical cues.The ultimate goal is to provide a fundamentally new understanding of proprioception and motion sensing. The new multimodality approach generated in this project is expected to evolve as a national facility for neuro-mechanobiology, and future research may lead to the inspiration of novel bionic sensor design and brain-computer interface for future neuroengineering industry.Read moreRead less