A Phase III Trial Comparing Adjuvant Versus Salvage Radiotherapy For High Risk Patients Post Radical Prostatectomy
Funder
National Health and Medical Research Council
Funding Amount
$819,138.00
Summary
About half of all patients Treated with an operation to remove their prostate cancer have a high chance of the cancer coming back. Giving immediate radiotherapy to all patients will improve cure rates but does not benefit all men and can cause significant side effects. This study explores whether it is safe to wait and only give radiotherapy when there is a rising PSA after surgery indicating active cancer. A total of 470 men from Australasia will enter this study comparing the two approaches.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775548
Funder
Australian Research Council
Funding Amount
$180,000.00
Summary
Advanced characterisation facilities for functional nanostructured materials. A critical factor that enhances frontier research is a set of advanced core research experimental facilities for material characterisation purposes. The proposed equipment aims to: (1) provide research facilities for advanced nanomaterial research; (2) improve national competitiveness and growth in a knowledge-based economy; and (3) foster local talented researchers in order to meet the strategic needs of the nation fo ....Advanced characterisation facilities for functional nanostructured materials. A critical factor that enhances frontier research is a set of advanced core research experimental facilities for material characterisation purposes. The proposed equipment aims to: (1) provide research facilities for advanced nanomaterial research; (2) improve national competitiveness and growth in a knowledge-based economy; and (3) foster local talented researchers in order to meet the strategic needs of the nation for a sustainable environment. These activities will revitalise Australia's leading role in creating new technologies with particular relevance to using advanced nanostructures for the production of clean air and water, and sustainable energy alternatives.Read moreRead less
CKD-FIX: A Randomised, Controlled Trial Of Allopurinol In The Slowing Of Kidney Disease Progression
Funder
National Health and Medical Research Council
Funding Amount
$1,917,147.00
Summary
Chronic kidney disease (CKD) is a major public health problem affecting over 1.5 million Australians and is associated with increased risk of death, heart disease and progression to end-stage kidney disease (ESKD). Current treatments to slow progression to ESKD are limited. The CKD-FIX trial aims to find out whether treatment with allopurinol, a commonly used drug for gout prevention, safely and effectively slows CKD progression. This could lead to significant health and economic benefits.
Early Career Industry Fellowships - Grant ID: IE230100245
Funder
Australian Research Council
Funding Amount
$460,237.00
Summary
Transforming wastewater services in regional Australia. Wastewater treatment in regional Australia faces challenges of odour control, poor pollutant and pathogen removal, and greenhouse gas emissions. This project aims to innovatively use iron salts to realise highly efficient wastewater treatment in regional areas. With Partner, Western Australia Water Corporation, this project expects to leverage a recent breakthrough discovery on iron chemistry to co-develop and field test a solar system that ....Transforming wastewater services in regional Australia. Wastewater treatment in regional Australia faces challenges of odour control, poor pollutant and pathogen removal, and greenhouse gas emissions. This project aims to innovatively use iron salts to realise highly efficient wastewater treatment in regional areas. With Partner, Western Australia Water Corporation, this project expects to leverage a recent breakthrough discovery on iron chemistry to co-develop and field test a solar system that doses wastewater with iron, to overcome four challenges and a supply chain issue simultaneously. Expected outcomes include industry capacity to adopt and commercialise a novel technology with important global relevance. Outcomes should reduce the inequity of wastewater services in regional Australia.Read moreRead less
The effect of wastewater treatment on the ecotoxicity of chiral chemicals. This project aims to assess the environmental implications of pharmaceuticals discharged in effluents from wastewater treatment plants. Trace levels of human pharmaceuticals occur in sewage and urban waterways, but during sewage treatment, some pharmaceuticals can undergo a chemical transformation known as 'chiral inversion'. In some cases, this may convert relatively benign environmental contaminants to more ecologically ....The effect of wastewater treatment on the ecotoxicity of chiral chemicals. This project aims to assess the environmental implications of pharmaceuticals discharged in effluents from wastewater treatment plants. Trace levels of human pharmaceuticals occur in sewage and urban waterways, but during sewage treatment, some pharmaceuticals can undergo a chemical transformation known as 'chiral inversion'. In some cases, this may convert relatively benign environmental contaminants to more ecologically toxic species. This project will investigate why and how some pharmaceuticals become susceptible to chiral inversion and assess ecotoxicological differences. This work is expected to determine the significance of considering chiral inversion in environmental risk assessment, with applications to a broader range of chemicals including pesticides and industrial chemicals.Read moreRead less
Adaptive ecotyping of the toxic cyanobacterium Cylindrospermopsis raciborskii to predict its invasive capacity. We change the world while other organisms adapt to these new conditions. Cyanobacteria (blue green algae) increasingly dominate water bodies that were previously free of these harmful blooms. To minimise the spread of these algae, this project will study the genetic basis that determines how rapidly they can evolve and adapt to a changing planet.
Sequencing and assembling microbial community metagenomes in real-time. This project aims to assemble metagenomes directly from environmental samples using nanopore sequencing. Short-read approaches to metagenomics cannot assemble mixed genomes from an environmental sample, so focus on describing which species and genes are present. Long-read nanopore sequencing enables the assembly of full genomes of multiple species in a sample. Assembling complete genomes in important resources such as water ....Sequencing and assembling microbial community metagenomes in real-time. This project aims to assemble metagenomes directly from environmental samples using nanopore sequencing. Short-read approaches to metagenomics cannot assemble mixed genomes from an environmental sample, so focus on describing which species and genes are present. Long-read nanopore sequencing enables the assembly of full genomes of multiple species in a sample. Assembling complete genomes in important resources such as water and soil should lead to deeper understanding of the dynamics, variation and transfer of genetic material within these resources’ microbial communities, strategies to manage microbial diversity, and improved productivity and long-term sustainability for these resources.Read moreRead less
Understanding the potency and role of individual stem cells in the skin using Rainbow technology. To renew itself, the skin and its components rely on the activity of stem cells. This project will define more precisely the role of each individual stem cell by labelling them with a unique colour and following its fate. This project has the potential to change our current view on how the skin maintains and repairs itself.
New Bayesian methodology for understanding complex systems using hidden Markov models and expert opinion, environmental, robotics and genomics applications. This project aims to merge four areas of intense international interest in describing complex systems: hidden Markov models and mixtures, semi-parametric and nonparametric approaches, true combination of expert opinion with data, and new Bayesian computational methods based on perfect sampling and particle sampling. The project will signific ....New Bayesian methodology for understanding complex systems using hidden Markov models and expert opinion, environmental, robotics and genomics applications. This project aims to merge four areas of intense international interest in describing complex systems: hidden Markov models and mixtures, semi-parametric and nonparametric approaches, true combination of expert opinion with data, and new Bayesian computational methods based on perfect sampling and particle sampling. The project will significantly contribute to statistical methodology and its ability to inform about real-world problems. A strong focus on applications to genomics, robotics and environmental modelling will bring immediate research and monetary benefit for industry. Expected outcomes include enhanced cross-disciplinary and international linkages, publications, industry-funded projects and highly trained graduates.Read moreRead less
Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. Grass pollen is the main outdoor allergen source globally, triggering hayfever and asthma in up to 500 million people. With over 10,000 species, the influence of grass type, location and climate on pollen in the air is not yet known. This is a key issue since subtropical and temperate grasses differ in response to environmental factors. The project aims to use artificial intelligence on digital camera images to learn to ....Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. Grass pollen is the main outdoor allergen source globally, triggering hayfever and asthma in up to 500 million people. With over 10,000 species, the influence of grass type, location and climate on pollen in the air is not yet known. This is a key issue since subtropical and temperate grasses differ in response to environmental factors. The project aims to use artificial intelligence on digital camera images to learn to see local grass flowers and integrate this with air sensors trained to detect grass pollen types. The expected outcomes are new capacities to track airborne grass pollen types. These outcomes can transform how pollen can be monitored to reduce the burden of allergies, and provide evidence of changing airborne pollen loads.
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