Decoding miRNA regulated genetic circuits. This project will aim to develop a much better understanding of how the process of making proteins from genes is regulated, and will develop scientific software capable of predicting how a cell will respond to changes in this regulation. The results will have widespread use, including assistance in deciding the best treatments for genetic diseases.
Detection of infrared-biomarkers for the diagnosis and treatment of canine neoplasia. This research hopes to discover infrared-biomarkers for canine cancers using synchrotron infrared and laser light. Many dog cancers are similar to human cancers so cancerous tissues and cells from dogs make excellent models for human cancer research. This project will provide new insights and technological approaches to cancer diagnosis and treatment.
RNA-based analysis for prediction of islet death in diabetes. Death of insulin-producing cells is a common feature in diabetes. Presently, a blood glucose test remains the only blunt instrument to diagnose diabetes. The RNA-based analysis for prediction of islet death in diabetes (RAPID) study links with eight clinical trials to test this newly developed non-invasive assay for predicting diabetes. Early diagnosis will help to reduce diabetic complications in later life.
The development of tuneable materials to allow the three-dimensional printing of cells. New low cost three-dimensional (3D) printers and reagents will be developed during this project to allow cancer biologists to print cells and polymers as more realistic 3D tissue models for biological assays. Such technology will be important for performing basic research into cancers as well as for providing better tools for drug testing.
Discovery Early Career Researcher Award - Grant ID: DE120101331
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Fundamental electromagnetic modelling of light-biological tissue interactions: a platform for future medical microscopy. Methods for modelling the fundamental electromagnetic interaction of light with biological tissue will be developed. This will allow a range of biomedical optical images to be properly interpreted ultimately leading to the holy grail of quick and minimally invasive methods for detecting cancer.
ARC Centre of Excellence in Convergent Bio-Nano Science and Technology. The CoE in Convergent Bio-Nano Science &Technology comprises a multi-disciplinary team focused on research aiming to understand and control the interface of materials with biological systems. The Centre will exploit knowledge of the bio-nano interface to design materials that transport and deliver vaccines, drugs and gene therapy agents, and to design new diagnostic agents and devices. Nanomedicines are on the cusp of revol ....ARC Centre of Excellence in Convergent Bio-Nano Science and Technology. The CoE in Convergent Bio-Nano Science &Technology comprises a multi-disciplinary team focused on research aiming to understand and control the interface of materials with biological systems. The Centre will exploit knowledge of the bio-nano interface to design materials that transport and deliver vaccines, drugs and gene therapy agents, and to design new diagnostic agents and devices. Nanomedicines are on the cusp of revolutionizing diagnosis and therapy in many diseases. The CoE will be the focus of bio-nano research activity in Australia, uniting universities, research agencies, institutes and companies. The expected outcomes are better diagnostic and therapeutic tools designed via an enhanced understanding of the bio-nano-interface.Read moreRead less
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.
Discovery Early Career Researcher Award - Grant ID: DE150101655
Funder
Australian Research Council
Funding Amount
$297,036.00
Summary
Discriminative detection and quantification of cancer imaging biomarkers. This project aims to develop a new framework for the detection and quantification of cancer biomarkers in diagnostic and histopathology images with discriminative modelling of intrinsic structures. The framework will be the first computerised solution to provide automated, quantitative annotations of cancer imaging biomarkers at the macroscopic and microscopic levels to support standardised reporting of image interpretatio ....Discriminative detection and quantification of cancer imaging biomarkers. This project aims to develop a new framework for the detection and quantification of cancer biomarkers in diagnostic and histopathology images with discriminative modelling of intrinsic structures. The framework will be the first computerised solution to provide automated, quantitative annotations of cancer imaging biomarkers at the macroscopic and microscopic levels to support standardised reporting of image interpretation. It will help to alleviate the inter-observer variability and time-consuming process of manual analysis. The project aims to advance fundamental biomedical imaging research in generalised visual structure extraction and classification, and enable large-scale translational research in systems pathology for personalised cancer care.Read moreRead less
Image-guided skin microbiopsy technology development. There is a need for targeted biopsies in dermatology. This novel technology enables minimally invasive biopsies to be taken from suspicious skin lesions by integrating micromedical and imaging devices.
Coupling biophotonic modalities with machine based recognition systems for disease diagnosis. This project will develop new ways to diagnose canine cancer, malaria and atherosclerosis using infrared-based technology and sophisticated pattern recognition techniques in the hope to discover infrared biomarkers that will lead to early diagnosis of the disease and ultimately save lives.