Targeted Development Of AMPK Β2-isoform Allosteric Activators
Funder
National Health and Medical Research Council
Funding Amount
$898,147.00
Summary
Sedentary lifestyles and consumption of high energy foods has led to dramatic increases in the incidence of diseases associated with metabolic dysregulation e.g. type 2 diabetes. An attractive drug target to treat these diseases is AMP-activated protein kinase (AMPK) which functions as a cellular fuel gauge. We have discovered a new drug that crucially activates the form of AMPK found in metabolically active organs. We aim to develop this drug to unlock new therapeutic opportunity.
Pharmacology Of Potential Anti-Tumour Agents: Iron Chelators Of The BpT Class
Funder
National Health and Medical Research Council
Funding Amount
$585,455.00
Summary
Pharmacology of Potential Anti-Tumour Agents: Iron Chelators of the BpT Class Cancer cells have a high iron requirement for DNA synthesis and many clinical trials showed Fe chelators are effective anti-cancer drugs. Their potential to act as anti-tumour agents has been confirmed by the entrance of Triapine into widespread NCI clinical trials. In this NHMRC Renewal, we will perform pharmacological and preclinical studies to promote the development of BpT chelators as novel anti-tumour agents.
Privacy-Aware and Personalised Explanation Overlays for Recommender Systems. AI-powered recommender systems provide recommendations for daily lives, but they need to be legally interpretable and explainable. This project aims to transform existing black-box recommender models into transparent and trustworthy decision-support systems. The resulting tools will offer granular, explorable rationales for the recommendations in real time, creating greater public confidence while advancing the field. ....Privacy-Aware and Personalised Explanation Overlays for Recommender Systems. AI-powered recommender systems provide recommendations for daily lives, but they need to be legally interpretable and explainable. This project aims to transform existing black-box recommender models into transparent and trustworthy decision-support systems. The resulting tools will offer granular, explorable rationales for the recommendations in real time, creating greater public confidence while advancing the field. The expected outcomes include graph embedding methods for capturing real-world relationships in all their messiness and complexity. The anticipated contributions include impartial and accountable recommender models that are resistant to adversarial attacks and that slow the spread of misinformation.Read moreRead less
Developing And Applying Statistical Genetics Methods To Identify Genes, Molecular Biomarkers And Environmental Agents That Causally Affect Risk Of Complex Musculoskeletal Diseases
Funder
National Health and Medical Research Council
Funding Amount
$707,370.00
Summary
My aim is to identify genes, biological molecules and environmental factors that causally affect risk of osteoporosis and ankylosing spondylitis (a form of autoimmune arthritis) using novel and existing statistical genetics methodologies. My research will advance understanding of the causes of these diseases, identify new opportunities for their treatment, and provide the scientific community with new statistical methods and software to identify factors that causally influence risk of disease.
Centre Of Research Excellence In Medicines Intelligence
Funder
National Health and Medical Research Council
Funding Amount
$2,500,000.00
Summary
The NHMRC Centre of Research Excellence in Medicines Intelligence is a co-ordinated research program that will accelerate the development and translation of evidence on prescribed medicines use and outcomes for regulators and payers. The CRE is perfectly placed to embrace the national ‘call to action’ from the Health Minister's recent announcement to establish Quality Use of Medicine Safety as a National Health Priority.
Most eye diseases have a genetic contribution, whether rare disorders affecting children such as retinoblastoma or congenital cataracts through to common disorders of older people such as myopia, age-related macular degeneration or glaucoma. We will continue our successful research to find genes that cause these diseases and use this to improve patient care and prevent blindness. We will work out how families can use this genetic information to participate in trials to develop new treatments.
An Investigation Of The Involvement Of Clotting Factors In Abdominal Aortic Aneurysm (AAA) Progression Within A Mouse Model
Funder
National Health and Medical Research Council
Funding Amount
$189,401.00
Summary
Early stage weakening of the main abdominal artery is present in ~100,000 Australians and currently has no accepted therapy. Development of drug therapies which limit progression of the weakening process is urgently needed. In this study involvement of the clotting cascade in artery weakening will be investigated. The study have been planned in order to identify new strategies which can be developed as treatments for artery weakening in patients.
Discovery Early Career Researcher Award - Grant ID: DE230101033
Funder
Australian Research Council
Funding Amount
$420,154.00
Summary
Scalable and Lightweight On-Device Recommender Systems. This project aims to address the resource-intensive and non-resilient nature of existing cloud-based personalised recommendation services. This project expects to generate new knowledge in the intersection of on-device machine learning and recommender systems. The expected outcomes include a novel auto-deployment platform that can efficiently customise a model for each user device's configuration, supporting on-device recommendation and mod ....Scalable and Lightweight On-Device Recommender Systems. This project aims to address the resource-intensive and non-resilient nature of existing cloud-based personalised recommendation services. This project expects to generate new knowledge in the intersection of on-device machine learning and recommender systems. The expected outcomes include a novel auto-deployment platform that can efficiently customise a model for each user device's configuration, supporting on-device recommendation and model updates with tiny computational footprints. The benefits of these outcomes will position Australia at the forefront of AI and give numerous businesses the tools needed to deploy innovative business systems with a secure and cost-effective advantage.Read moreRead less
EEG Based Global Network Models and Platform for Brain States Assessment. This project aims to generate new knowledge and tools in global brain network modelling and deep learning technology. It addresses the significant issues in higher brain function state assessment using brain signal EEG. The project applies global brain networks to model brain dynamical activities as a whole, and assesses higher brain functions such as consciousness, fatigue, sleep, stress and depression, and their step by ....EEG Based Global Network Models and Platform for Brain States Assessment. This project aims to generate new knowledge and tools in global brain network modelling and deep learning technology. It addresses the significant issues in higher brain function state assessment using brain signal EEG. The project applies global brain networks to model brain dynamical activities as a whole, and assesses higher brain functions such as consciousness, fatigue, sleep, stress and depression, and their step by step evolution in real-time using innovative deep learning approaches. The expected outcomes are optimised brain network models and a platform technology. The intended results can be applied to greatly improve the sleep quality and productivity of general community, and the safety of workplace and transportation.Read moreRead less