Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the ....Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the approach to image artefacts and image quantification. This project is expected to advance both single subject and population level biomedical imaging with greater accuracy and cost-effectiveness. This project also promotes explainable and generalisable artificial intelligence in medical imaging.Read moreRead less
Developing the basis for an quality control platform for human pluripotent stem cells and their differentiated derivatives. Biophotonic techniques based on spectroscopy have the potential to provide low-cost, automatable measurements for the quality control of stem and differentiated cells produced for use in industry and regenerative medicine. This project is aimed at acquiring the fundamental scientific knowledge base required to bring this about.
Novel technology platform for gene delivery into intact cells. Delivery of DNA to cells is a crucial but highly inefficient process. This project will develop a way to manipulate the genetic code of cells efficiently and to easily generate stem cells from normal adult cells, thus avoiding controversial embryonic harvesting. This new technology will have potential benefits for research, agriculture and humans alike.
Surveillance of the mechanisms controlling proteome foldedness. This project aims to measure how cells keep the proteome folded. Cells have extensive quality control networks to govern synthesis, folding and transport of every protein but the buffering capacity of this system is not definable. This capacity is needed to understand how problems arise in managing proteome foldedness, a central feature of human diseases and biotechnology and synthetic biology applications that need cell-based produ ....Surveillance of the mechanisms controlling proteome foldedness. This project aims to measure how cells keep the proteome folded. Cells have extensive quality control networks to govern synthesis, folding and transport of every protein but the buffering capacity of this system is not definable. This capacity is needed to understand how problems arise in managing proteome foldedness, a central feature of human diseases and biotechnology and synthetic biology applications that need cell-based production of engineered proteins such as hormones and antibodies. The outcomes are expected to provide basic knowledge of this fundamental process and provide biosensors and screening methods for use in health and biotechnology industries.Read moreRead less
Generating multi-component scaffolding to influence the differentiation of embryonic stem cells. Nervous system diseases are debilitating and will develop in over 50 per cent of people at some time in their life. This project will develop strategies so that stem cells can be utilised to encourage brain repair for the treatment of Parkinson's disease. The technology developed will also be of benefit for the treatment of other nervous system disorders.
Understanding the cellular cues that direct muscle stem cell specification. The project aims are to identify the metabolic factors that regulate muscle stem cell identity and to examine how changes in the local metabolic environment can influence how stem cells respond to biological perturbations. One of the most important and unresolved issues in skeletal muscle biology is understanding the role of muscle stem cells in the regulation of growth and development, adaptation and plasticity. We have ....Understanding the cellular cues that direct muscle stem cell specification. The project aims are to identify the metabolic factors that regulate muscle stem cell identity and to examine how changes in the local metabolic environment can influence how stem cells respond to biological perturbations. One of the most important and unresolved issues in skeletal muscle biology is understanding the role of muscle stem cells in the regulation of growth and development, adaptation and plasticity. We have identified that the local skeletal muscle metabolic milieu may regulate the activity of skeletal muscle stem cells. This project could reveal novel mechanisms by which skeletal muscle stem cells can be regulated. This information is crucial for our fundamental understanding of stem cell biology and its future applications.Read moreRead less