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.
MICROFABRICATED DEVICES: A SIGNIFICANT ADVANCE FOR THE DETECTION AND MOLECULAR ANALYSES OF CIRCULATING CANCER CELLS?
Funder
National Health and Medical Research Council
Funding Amount
$422,107.00
Summary
Using advanced microfabrication concepts, this project aims to develop a platform technology able to capture tumour cells circulating in the blood of cancer patients. Although present only in extremely small numbers, these cells provide invaluable insights into the pathophysiology of the disease and consequently provide vital diagnostic and prognostic information. Molecular analyses of these cancer cells could ultimately enable the design of improved and personalized cancer treatment.
Preparing Australia For Genomic Medicine: A Proposal By The Australian Genomics Health Alliance
Funder
National Health and Medical Research Council
Funding Amount
$25,000,000.00
Summary
The sequencing of the human genome brings the possibility of more accurate identification of the underlying basis of many diseases. This technology has moved so rapidly, however, that clinical access has been limited. In this application, a national alliance of clinicians, researchers, health economists and policymakers will evaluate the case for clinical genomics across inherited disease and cancer, determine how best to deliver this to the patient and train a capable workforce.
Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk mat ....Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk matrix. Recorded heart rate and ECG data will also be analysed using artificial intelligence to detect early evidence of the development of cardiac arrhythmias. The system will improve racehorse welfare, providing a simple interface to warn trainers when risk of injury becomes high, in order to prevent catastrophic breakdown.Read moreRead less
Development Of Diagnostic Tools To Characterise Predictors Of Therapeutic Outcome In Severe Constipation
Funder
National Health and Medical Research Council
Funding Amount
$433,999.00
Summary
This project will use fibre-optic technology to create detailed high resolution maps of colonic motor patterns in both health and in patients with severe constipation. The data will be used in combination with actual patient symptoms to help identify specific markers of disease that can differentiate sub-types of constipation and ultimately guide and improve treatment in constipated patients
The migration of cancer cells (metastasis) is responsible for most cancer deaths. Central to this is dynamic organisation of the actin cytoskeleton _ an internal structure that provides cell shape and enables movement. We have identified a family of small molecules (called miR-200) that regulates this actin cytoskeleton through specifically downregulating various genes. We are investigating the nature of these genes and their role in cell motility _ an underlying pre-requisite of metastasis.
Can Decision Analytic Modelling Promote Clinical Translation Of Personalised Medicine Markers For Oncology Drugs?
Funder
National Health and Medical Research Council
Funding Amount
$69,893.00
Summary
Personalised medicine is an approach that has great potential to improve healthcare. There has been limited success to date, however, in utilising proposed tests in the clinical. It is proposed that use of mathematical models early in the development of personalised medicine tests will allow early understanding of the value that the test will have for patients and society. Such insight will help build a strong case to undertake the research required before personalised medicine can be more widel ....Personalised medicine is an approach that has great potential to improve healthcare. There has been limited success to date, however, in utilising proposed tests in the clinical. It is proposed that use of mathematical models early in the development of personalised medicine tests will allow early understanding of the value that the test will have for patients and society. Such insight will help build a strong case to undertake the research required before personalised medicine can be more widely used to improve treatment for cancer.Read moreRead less
Personalised Medicine Markers Of Anti-EGFR Antibody Therapy In Metastatic Colorectal Cancer: Accelerating Clinical Translation With Collaborative Meta-analyses Based On Individual-participant Data
Funder
National Health and Medical Research Council
Funding Amount
$300,953.00
Summary
When selecting cancer therapy we take into account ‘biomarkers’, biological cancer characteristics that predict treatment success. We will work with an international group, the Advanced Colorectal Cancer Database, to analyse individual patient clinical trial data. We intend to validate biomarkers used to select treatment with cetuximab or panitumumab. Cancer genes called KRAS, NRAS, PTEN, PIK3CA, EREG and BRAF will be examined. Our study will provide best evidence for personalised treatment.
Pushing AR Toward Better Outcomes In Breast And Prostate Cancers
Funder
National Health and Medical Research Council
Funding Amount
$998,754.00
Summary
Breast and prostate cancers kill >6000 Australians each year. These cancers are strikingly similar, both driven by hormone receptors that have ‘gone bad’. Current therapies aim to eradicate the receptors. While often effective, therapeutic resistance is common and results in fatal disease. We aim to develop new, less toxic treatments that switch receptor behaviour from good to bad, without destroying them. This should improve quality of life, while preventing drug resistance and loss of lives ....Breast and prostate cancers kill >6000 Australians each year. These cancers are strikingly similar, both driven by hormone receptors that have ‘gone bad’. Current therapies aim to eradicate the receptors. While often effective, therapeutic resistance is common and results in fatal disease. We aim to develop new, less toxic treatments that switch receptor behaviour from good to bad, without destroying them. This should improve quality of life, while preventing drug resistance and loss of lives.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100026
Funder
Australian Research Council
Funding Amount
$230,000.00
Summary
VetCompass: Big Data and Real-time Surveillance for Veterinary Science. VetCompass: big data and real-time surveillance for veterinary science:
The VetCompass data service intends to collect real-time records from veterinary clinics and aggregate them for researchers to interrogate. It aims to provide Australian researchers with sustainable and cost-effective access to authoritative data from hundreds of practitioners in Australia and the United Kingdom. These data will be essential for researc ....VetCompass: Big Data and Real-time Surveillance for Veterinary Science. VetCompass: big data and real-time surveillance for veterinary science:
The VetCompass data service intends to collect real-time records from veterinary clinics and aggregate them for researchers to interrogate. It aims to provide Australian researchers with sustainable and cost-effective access to authoritative data from hundreds of practitioners in Australia and the United Kingdom. These data will be essential for research on disease distribution and determinants, and surveillance and diagnostics that underpin evidence-based practice. The expected outcomes include identification of the most prevalent disorders and their causes and optimal treatments. The data may also revolutionise clinical auditing in Australia, help the veterinary profession to rank research priorities, and inform companion animal and equine curricula in our universities.Read moreRead less