Organic Bioelectronics: Solving Key Barriers to Precision Neuromodulation. This project aims to combine the principles of molecular electronics and neurobiology to create organic conductors with enhanced biocompatibility that enable optical neuromodulation. This project expects to generate new knowledge regarding the properties of materials that promote connectivity with neurons and the ability of new microscopy tools to visualise this bio-interface. The expected outcome of this project includes ....Organic Bioelectronics: Solving Key Barriers to Precision Neuromodulation. This project aims to combine the principles of molecular electronics and neurobiology to create organic conductors with enhanced biocompatibility that enable optical neuromodulation. This project expects to generate new knowledge regarding the properties of materials that promote connectivity with neurons and the ability of new microscopy tools to visualise this bio-interface. The expected outcome of this project includes new high performing materials, measurement tools and fabrication approaches to overcome the key challenges to precision neuromodulation. A significant benefit of the new materials is their printability, providing the opportunity to establish a sovereign capability to manufacture low-cost bioelectronic systems in Australia.Read moreRead less
Properties of nanomaterials determine their disposal by liver cells. This project aims to understand how the liver handles and is affected by nanomaterials in the body. Nanomaterials are widely used in industrial, environmental, consumer and drug products, but how they affect human health is poorly understood. This project will characterise the spatiotemporal distribution of a set of nanomaterials with defined attributes in naïve and modified livers using chemistry, imaging and biological method ....Properties of nanomaterials determine their disposal by liver cells. This project aims to understand how the liver handles and is affected by nanomaterials in the body. Nanomaterials are widely used in industrial, environmental, consumer and drug products, but how they affect human health is poorly understood. This project will characterise the spatiotemporal distribution of a set of nanomaterials with defined attributes in naïve and modified livers using chemistry, imaging and biological methods. This work is expected to determine how nanomaterials’ attributes direct pathways for liver cell disposal and describe nanomaterial–liver interactions at the cellular level, information crucial in enabling safer nanomaterials for use in products such as drug formulations, sunscreens and cosmetics.Read moreRead less
Modelling applications of nanomaterials in biology and medicine. This proposal will address fundamental issues related to nanomaterials and their applications in biology and medicine. Accurate mathematical models will be formulated, leading to new practical techniques in nanobiotechnology, safe and effective methods to diagnose and cure diseases including cancer via targeted drug and gene delivery, and detection methods for biological hazards, such as those arising from biological terrorism. The ....Modelling applications of nanomaterials in biology and medicine. This proposal will address fundamental issues related to nanomaterials and their applications in biology and medicine. Accurate mathematical models will be formulated, leading to new practical techniques in nanobiotechnology, safe and effective methods to diagnose and cure diseases including cancer via targeted drug and gene delivery, and detection methods for biological hazards, such as those arising from biological terrorism. The research facility proposed involves significant training of applied mathematicians at honours, PhD and postdoctoral levels and multidisciplinary collaboration, ensuring that Australia maintains and develops an expertise in nanobiotechnology well into the future.Read moreRead less
Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the ....Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the first approach capable of discovering previously unknown biomarkers associated with important clinical outcomes. The project will validate the approach on a real-world case study data set concerning the prediction of five-year survival of chronic disease.Read moreRead less
Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are inn ....Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are innovative semi-automated nephron visualisation and quantitation tools that enable efficient renal phenotyping. Techniques tailored to widely accessible preclinical research scanners are expected to accelerate research into genetic and environmental factors affecting kidney microstructure in embryonic and post-natal life.Read moreRead less
A spatio-temporal partitioning approach to colloidal flows in porous media. This project aims to develop an efficient multi-scale laboratory-based modelling framework for colloidal suspensions flow in porous media by utilizing recent advances in 3D/4D image-based geometrical/topological analysis. Regional partitioning techniques based on local structural measures are used to observe the penetration/retention of colloids into identified zones. Zone-dependent colloid interaction probabilities for ....A spatio-temporal partitioning approach to colloidal flows in porous media. This project aims to develop an efficient multi-scale laboratory-based modelling framework for colloidal suspensions flow in porous media by utilizing recent advances in 3D/4D image-based geometrical/topological analysis. Regional partitioning techniques based on local structural measures are used to observe the penetration/retention of colloids into identified zones. Zone-dependent colloid interaction probabilities for computational modelling are derived from fundamental relationships. Expected outcomes of this project include a full-scale modelling capability for heterogeneous samples validated by experiment and the extraction of robust model coefficients for newly developed theory for colloid-suspension transport through porous media.Read moreRead less