Discovery Early Career Researcher Award - Grant ID: DE240100168
Funder
Australian Research Council
Funding Amount
$413,847.00
Summary
Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features w ....Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features will then be used to characterise the morphological and functional changes, which provide opportunities to increase understanding of progression of diseases of individual subject. The outcome from this project will provide new insights into system biology with potential future benefits in healthcare.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240101035
Funder
Australian Research Council
Funding Amount
$450,760.00
Summary
Charting the brain's wiring over the human lifespan. This project aims to produce a large-scale model of brain wiring over the human lifespan by utilising normative modelling approaches on state-of-the-art diffusion magnetic resonance imaging (diffusion MRI) data. This project expects to generate new understanding of how the brain's connections change with age in healthy individuals. Expected outcomes of this project include a reference chart for healthy brain wiring, and major advances in diffu ....Charting the brain's wiring over the human lifespan. This project aims to produce a large-scale model of brain wiring over the human lifespan by utilising normative modelling approaches on state-of-the-art diffusion magnetic resonance imaging (diffusion MRI) data. This project expects to generate new understanding of how the brain's connections change with age in healthy individuals. Expected outcomes of this project include a reference chart for healthy brain wiring, and major advances in diffusion MRI data harmonisation approaches. This should provide significant benefits for the translation of advanced diffusion MRI methods, as normative charts for brain wiring will be made broadly available. This could have broad implications for interpreting individual diffusion MRI scans in future.Read moreRead less
Decoding the brain network of memory formation. This project aims to uncover how the brain network supports the formation of long-lasting memory using cutting-edge imaging, intervention and computational modelling. The project is anticipated to generate new knowledge of the neural activity and circuitry that facilitate memory formation, and targets for modulating network activity and behaviour. This will have significant benefits for neuroscience, engineering and imaging, as well as future appli ....Decoding the brain network of memory formation. This project aims to uncover how the brain network supports the formation of long-lasting memory using cutting-edge imaging, intervention and computational modelling. The project is anticipated to generate new knowledge of the neural activity and circuitry that facilitate memory formation, and targets for modulating network activity and behaviour. This will have significant benefits for neuroscience, engineering and imaging, as well as future applications in humans with technology for detecting, predicting and modulating cognitive performance.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
Mid-Career Industry Fellowships - Grant ID: IM230100002
Funder
Australian Research Council
Funding Amount
$1,056,049.00
Summary
Artificial intelligence empowered multi-modal biomedical imaging. This Industry Fellowship aims to transform biomedical imaging using artificial intelligence with world-leading industry partners. The project expects to make a major advance in multi-modal Magnetic Resonance Imaging and Positron Emission Tomography image reconstruction for robust, accurate and efficient imaging. This project timely addresses industry needs with novel solutions and will establish a technology roadmap to inform and ....Artificial intelligence empowered multi-modal biomedical imaging. This Industry Fellowship aims to transform biomedical imaging using artificial intelligence with world-leading industry partners. The project expects to make a major advance in multi-modal Magnetic Resonance Imaging and Positron Emission Tomography image reconstruction for robust, accurate and efficient imaging. This project timely addresses industry needs with novel solutions and will establish a technology roadmap to inform and de-risk future research and development in image reconstruction. The project outcomes should provide benefits to Australians with cost-effective imaging and benefits to Australia's biomedical industry with well-aligned intellectual properties and training of future scientists with industry knowledge.Read moreRead less
Visualising Retinal Microglia as a Window into Brain Inflammation. This project aims to use the unique autofluorescence signature of immune cells, microglia, imaged in the retina, as an index of brain inflammation. This project expects to provide the fundamental knowledge to allow us to image microglia non-invasively and identify the presence of brain inflammation without needing to access the brain-proper. Expected outcomes include full characterisation of microglial autofluorescence in the ret ....Visualising Retinal Microglia as a Window into Brain Inflammation. This project aims to use the unique autofluorescence signature of immune cells, microglia, imaged in the retina, as an index of brain inflammation. This project expects to provide the fundamental knowledge to allow us to image microglia non-invasively and identify the presence of brain inflammation without needing to access the brain-proper. Expected outcomes include full characterisation of microglial autofluorescence in the retina and how it relates to brain inflammation. This should provide significant downstream benefits for the detection of inflammatory brain disease well before visible symptoms develop with substantial benefit for livestock, pets, zoo and conservation animals, as well as research knowledge. 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
Next Generation Fluorescent Tools for Measuring Autophagy Dynamics in Cells. This project aims to create new molecular tools for detecting a crucial cell survival process called autophagy. Specifically, this project will develop small molecule fluorescent probes that are specific to autophagy, for the first time, by interacting with the key autophagy marker proteins or cargos. This will allow researchers to visualise and quantify autophagy activity in living cells without disrupting the system, ....Next Generation Fluorescent Tools for Measuring Autophagy Dynamics in Cells. This project aims to create new molecular tools for detecting a crucial cell survival process called autophagy. Specifically, this project will develop small molecule fluorescent probes that are specific to autophagy, for the first time, by interacting with the key autophagy marker proteins or cargos. This will allow researchers to visualise and quantify autophagy activity in living cells without disrupting the system, which is not currently possible. This project represents a major technical and knowledge advance that will improve our understanding of autophagy in fundamental biology and ultimately contribute to the development of new intervention strategies for diseases like neurodegeneration and cancers.Read moreRead less