Improving Sexual Health In Men With Prostate Cancer: Randomised Controlled Trial Of Exercise And Psychosexual Therapies
Funder
National Health and Medical Research Council
Funding Amount
$583,416.00
Summary
Sexual dysfunction is one of the most common and distressing side effects of prostate cancer. Despite being a critical survivorship care issue, there is a clear gap in knowledge surrounding the optimal treatment of sexual dysfunction in men with prostate cancer. This project examines whether exercise aids in the management of sexual dysfunction and explores if an integrated treatment model incorporating pharmacological, exercise and psychosexual therapies maximises improvement in sexual health.
KConFab - The Kathleen Cuningham Foundation Consortium For Research Into Familial Breast Cancer
Funder
National Health and Medical Research Council
Funding Amount
$2,176,975.00
Summary
Breast cancer is the most common malignant disease of women. In families with an inherited form of breast cancer, nearly half the women in every generation can develop the disease. The aim of this Australasian-wide study is to complete collection of clinical, epidemiological and genetic data on 1,600 of these severely-affected families. The national resource is, and will continue to be, of great value for researchers who want to identify and characterize the genetic and life style factors that a ....Breast cancer is the most common malignant disease of women. In families with an inherited form of breast cancer, nearly half the women in every generation can develop the disease. The aim of this Australasian-wide study is to complete collection of clinical, epidemiological and genetic data on 1,600 of these severely-affected families. The national resource is, and will continue to be, of great value for researchers who want to identify and characterize the genetic and life style factors that affect onset and progression of the disease.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
Drugging the undruggable: Development of novel technologies to selectively regulate the expression of targets driving cancer and other diseases. Transcription factors are “undruggable” targets playing a principal role driving cancer. This project will create novel therapeutic strategies to inhibit transcription factors and other elusive targets differentially expressed in diseased cells, without affecting normal tissue. It proposes to construct engineered proteins able to bind and modify specifi ....Drugging the undruggable: Development of novel technologies to selectively regulate the expression of targets driving cancer and other diseases. Transcription factors are “undruggable” targets playing a principal role driving cancer. This project will create novel therapeutic strategies to inhibit transcription factors and other elusive targets differentially expressed in diseased cells, without affecting normal tissue. It proposes to construct engineered proteins able to bind and modify specific key genes deregulated in cancer, to correct their expression and stably reprogram the phenotype of the tumour cell in a normal-like state. It outlines the engineering of novel synthetic agents to block specific protein-protein interactions in cancer cells and to induce potent tumour cell death. This work will generate novel and selective therapeutics to treat un-curable forms of tumours.Read moreRead less
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.
Can Exercise Delay Transition To Active Therapy In Men With Low Grade Prostate Cancer? A Multi-Centre Randomized Controlled Trial.
Funder
National Health and Medical Research Council
Funding Amount
$604,429.00
Summary
Prostate cancer overdiagnosis is associated with increased rates of overtreatment and associated morbidity. Although nearly half of Australian men diagnosed with low risk prostate cancer are managed with active surveillance there are no established recommendations for slowing disease progression and delaying transition to active treatment. The proposed study would be the first to determine the efficacy of a comprehensive exercise program during active surveillance for prostate cancer.
Supercritical-microfluidics technology for targeted delivery to the colon. This research will develop nanosystems to target delivery of drugs to the colon. Our nanosystems will permit the combination of clinically used chemotherapy drugs within a single dosage form. This will improve the efficiency of delivery to the colon while reducing unwanted side-effects. A novel supercritical microfluidics system will be developed to produce therapeutic nano-carriers in a continuous mode with lower labour ....Supercritical-microfluidics technology for targeted delivery to the colon. This research will develop nanosystems to target delivery of drugs to the colon. Our nanosystems will permit the combination of clinically used chemotherapy drugs within a single dosage form. This will improve the efficiency of delivery to the colon while reducing unwanted side-effects. A novel supercritical microfluidics system will be developed to produce therapeutic nano-carriers in a continuous mode with lower labour requirement, higher production rate and better quality control than conventional production methods. The new process will combine benefits from both supercritical fluid technology (green process) and microfluidics (high mass & heat transfer).Read moreRead less
Melanoma Mutation Profiling For Personalised Treatment
Funder
National Health and Medical Research Council
Funding Amount
$571,191.00
Summary
Melanoma is an aggressive skin cancer, and the leading cause of skin cancer related deaths. Disease spread is difficult to detect and extremely difficult to cure. This bleak clinical outcome is changing with the development of personalised therapies which include small molecule inhibitors to treat metastatic melanoma. Here we seek to identify the spectrum of mutations in patient tumours and circulating tumour cells for advanced personalised treatment.
Leukaemia-cancer cells have altered biochemical properties resulting in their high rate of growth compared to normal cells. One of these is augmented activity of enzymes called tyrosine kinases including members of the Src family. One called Lyn has been implicated in several leukaemias as well as cancer. We have identified a novel mechanism of down-regulating this family of enzymes mediated by small proteins. These may allow us to develop novel therapeutics for cancer-leukaemia treatment.
Developing Interpretable Machine Learning Models For Clinical Imaging And Single-cell Genomics
Funder
National Health and Medical Research Council
Funding Amount
$1,312,250.00
Summary
Machine learning methods will be vital to make best use of the deluge of data generated by high-throughput technologies in biomedical science. To get the most out of these models, however, we need to be able to unpack the 'black box'. I will use curated clinical and public research data to benchmark and develop interpretable deep learning models and software tools. These models will be used for breast cancer screening programs and for analysis of complex, large-scale single-cell genomics data.