The Material Science of Biomimetic Soft Network Composites. Nature combines stiff and strong collagen fibres intertwined within a weak polymer matrix of proteoglycans into soft tissues with outstanding mechanical durability and biological properties. We converge a biomimetic design strategy inspired in the architecture of natural soft tissues and a novel additive manufacturing technology termed melt electrowriting (MEW) to manufacture advanced biomimetic soft network composites (BSNC). The SNCs ....The Material Science of Biomimetic Soft Network Composites. Nature combines stiff and strong collagen fibres intertwined within a weak polymer matrix of proteoglycans into soft tissues with outstanding mechanical durability and biological properties. We converge a biomimetic design strategy inspired in the architecture of natural soft tissues and a novel additive manufacturing technology termed melt electrowriting (MEW) to manufacture advanced biomimetic soft network composites (BSNC). The SNCs are composed of a weak polymer matrix and a MEW reinforcing fibrous phase printed at the nanometre scale, containing patterns mimicking the natural tissue architectures. Advanced computational tools are applied for the rational design of the SNC while reducing costs and times associated to experimental work.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
Discovery Early Career Researcher Award - Grant ID: DE240100128
Funder
Australian Research Council
Funding Amount
$450,000.00
Summary
Engineering microenvironments to regulate osteocyte 3D networks in vitro. Most knowledge of bone is based on only a fraction of cells found in bone because the majority of cells in our bones (called osteocyte cell networks) cannot easily be grown or studied outside the body. This results in the inability to understand how the bone organ functions. Using bioinspired engineering, this project will use advanced biomaterials to biofabricate, for the first time, osteocyte cell networks in vitro. By u ....Engineering microenvironments to regulate osteocyte 3D networks in vitro. Most knowledge of bone is based on only a fraction of cells found in bone because the majority of cells in our bones (called osteocyte cell networks) cannot easily be grown or studied outside the body. This results in the inability to understand how the bone organ functions. Using bioinspired engineering, this project will use advanced biomaterials to biofabricate, for the first time, osteocyte cell networks in vitro. By unravelling how they are formed and controlled by manipulating their microenvironment, we will discover how different types of bones are formed. The benefits will be a valuable tool for the bone research community, allowing unresolved questions to be addressed in the future, such as how bone forms, repairs, and remodels.Read moreRead less
A Biologically Responsive and Anatomically Authentic Human Nasal Model. As respiratory conditions caused by pollutants and viruses become more prevalent, human nasal models to study infection/protection mechanisms and nasal drug/vaccine delivery are increasingly important. This project aims to develop a world-first human nasal model to mimic both anatomical and biological aspects of the nasal cavity and predict the distribution and deposition of fine particles and the resultant biological respon ....A Biologically Responsive and Anatomically Authentic Human Nasal Model. As respiratory conditions caused by pollutants and viruses become more prevalent, human nasal models to study infection/protection mechanisms and nasal drug/vaccine delivery are increasingly important. This project aims to develop a world-first human nasal model to mimic both anatomical and biological aspects of the nasal cavity and predict the distribution and deposition of fine particles and the resultant biological response from the nasal mucosa. The aim is to overcome a key fabrication challenge - to 3D print an anatomically accurate nasal construct with a porous wall on which to grow and mature functional nasal tissue that lines a nasal cavity wall. The benefit would be enabling faster development of more targeted drugs and vaccines.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100236
Funder
Australian Research Council
Funding Amount
$463,583.00
Summary
Designing and fabricating artificial blood cells for global shortages. This project aims to create the first biophysically accurate artificial blood cells through fabrication of novel synthetic particles that mimic the complex layers of red blood cells. Using innovative methods from engineering and biology, this project expects to advance biofabrication techniques for biosynthetic microparticles. Expected outcomes from this project include the development of a portable, cost-effective platform t ....Designing and fabricating artificial blood cells for global shortages. This project aims to create the first biophysically accurate artificial blood cells through fabrication of novel synthetic particles that mimic the complex layers of red blood cells. Using innovative methods from engineering and biology, this project expects to advance biofabrication techniques for biosynthetic microparticles. Expected outcomes from this project include the development of a portable, cost-effective platform technology to immediately advance foundational understanding of cell membrane dynamics, interactions, and integrity. We anticipate that the new bioengineered blood product will provide significant future benefits for blood storage and transfusion, including potentially alleviating global blood shortages.Read moreRead less
Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging. This project aims to develop novel magnetic resonance imaging methods to investigate tissue structure and function. Current MRI technologies use standard water-based contrast mechanisms to generate images with limited tissue information. In contrast, this project expects to provide a non-invasive, ultra-high-resolution MRI technology that measures the electrical, magnetic, and chemical signals generated from the human bo ....Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging. This project aims to develop novel magnetic resonance imaging methods to investigate tissue structure and function. Current MRI technologies use standard water-based contrast mechanisms to generate images with limited tissue information. In contrast, this project expects to provide a non-invasive, ultra-high-resolution MRI technology that measures the electrical, magnetic, and chemical signals generated from the human body. Thus, the new imaging methods can probe deeper biological functionality while examining tissue structure. The potential benefits include: expanding the scope and capabilities of current MRI, facilitating a wide range of imaging-based research and applications, and accelerating knowledge expansion in life science.Read moreRead less
Creating a non-invasive window into the mind. This project aims to create better tools to study the human mind. This project expects to generate new knowledge that can be used to non-invasively image neuronal activity. Expected outcomes include the development of unique new Magnetic Resonance Imaging (MRI) instruments to study neuronal activity in both highly controlled laboratory conditions and in humans, with the spatial and temporal resolution needed to study the neuronal circuitry that drive ....Creating a non-invasive window into the mind. This project aims to create better tools to study the human mind. This project expects to generate new knowledge that can be used to non-invasively image neuronal activity. Expected outcomes include the development of unique new Magnetic Resonance Imaging (MRI) instruments to study neuronal activity in both highly controlled laboratory conditions and in humans, with the spatial and temporal resolution needed to study the neuronal circuitry that drives low and high-level brain functions, i.e., creating a window into the mind. In the future, outcomes from this study could improve our understanding of mental disorders, advance computer brain interface technology, and inspire the next paradigm shift in artificial intelligence.Read moreRead less