Rapid detection of rare-event cells by strong UP-conversion
encoded nano-radiators (SUPER Dots): finding a needle in a haystack. Current diagnostic tests are not sensitive enough to detect cancer in its very early stages or early recurrence following treatment. The new technologies developed by this project will be able to find single cancer cells in blood and urine samples heralding a new era in medical diagnostics.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100006
Funder
Australian Research Council
Funding Amount
$600,000.00
Summary
An adaptable and dedicated linear accelerator for medical radiation research. Leading radiation scientists developing innovative methods and devices for treating cancer patients will collaborate in future research using this highly adaptable linear accelerator for medical radiation research. Innovations in tumour targeting, better patient safety, new medical devices and improved cancer outcomes are expected.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100078
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
Establishment of a comprehensive regional biophysical analysis facility. Interactions between molecules are needed for cells to function correctly. This facility will permit comprehensive molecular characterisation as well as research into the fundamentals of how molecules interact.
Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically an ....Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically and clinically significant discoveries in biomedical research. This project will help Australian researchers in statistics and users of statistics (from fields as diverse as biology, ecology, medicine, finance, agriculture and the social sciences) to make better predictions that are easier to understand.Read moreRead less
Navigating tipping points in complex dynamical systems. This project aims to use applied mathematics to investigate the onset of tipping points in dynamical systems. Working with clinicians and practicing engineers, the project aims to contribute to the development of new treatment regimes for dynamical diseases and develop improved management strategies for resource focussed engineering industries. This should provide significant benefit to many areas, including the personalised treatment of di ....Navigating tipping points in complex dynamical systems. This project aims to use applied mathematics to investigate the onset of tipping points in dynamical systems. Working with clinicians and practicing engineers, the project aims to contribute to the development of new treatment regimes for dynamical diseases and develop improved management strategies for resource focussed engineering industries. This should provide significant benefit to many areas, including the personalised treatment of disease.Read moreRead less
Chromatin structure and pervasive transcription. This project aims to understand mechanisms that repress pervasive transcription and to identify chromatin characteristics that repress transcription initiation outside the promoter regions. Chromatin characteristics, such as position, occupancy and turnover-rate of nucleosomes, establish an elaborate genomic indexing mechanism, which defines functional units in the genome. Defects in this process increase pervasive transcription, toxic accumulatio ....Chromatin structure and pervasive transcription. This project aims to understand mechanisms that repress pervasive transcription and to identify chromatin characteristics that repress transcription initiation outside the promoter regions. Chromatin characteristics, such as position, occupancy and turnover-rate of nucleosomes, establish an elaborate genomic indexing mechanism, which defines functional units in the genome. Defects in this process increase pervasive transcription, toxic accumulation of non-coding transcripts and genomic instability. This work aims to understand eukaryotic genome organisation and may have long-term therapeutic implications for cancer and ageing-related diseases.Read moreRead less
The role of Roquin in microRNA function and decay. The aim of this study is to understand how microRNAs (newly discovered genetic components that control cell growth and survival) function and are regulated. The expected discoveries will help understand how common cancers including breast cancer and autoimmune diseases emerge, and will help develop cutting edge genetic technologies.