Affective sensing technology for the detection and monitoring of depression and melancholia. This project will develop reliable and affective sensing technology and evaluate it as an objective measure of depressive disorders; a leading cause of disability worldwide. Outcomes will significantly support and aid clinicians in their diagnosis and treatment, thus providing a major breakthrough with significant research, healthcare and commercial possibilities.
Melanotransferrin: A “Missing Link” And A Novel Pharmacological Target For Treatment
Funder
National Health and Medical Research Council
Funding Amount
$613,848.00
Summary
Despite >30 years of research, the precise function of the protein, melanotransferrin (MTf), is unknown. However, we have breakthrough evidence that MTf stimulates WNT signalling as a major driver in cancer progression. We will investigate this hypothesis, which will underpin new cancer therapies. Indeed, we designed a new class of drugs that target the WNT pathway via up-regulating the WNT inhibitor, NDRG1. This drug (DpC) inhibits MTf expression to block tumour cell growth and metastasis.
Heparin-induced Thrombocytopenia And Thrombosis: Better Understanding Of Pathogenesis And Improving Diagnosis And Treatment
Funder
National Health and Medical Research Council
Funding Amount
$653,137.00
Summary
Heparin, a widely used drug, can cause an adverse effect which results in a fall of the platelet count and the development of serious thrombosis. This drug complication is mediated by an immune mechanism. This proposal aims to provide a better understanding of the disease mechanism. It also aims to develop a new test that will improve the diagnosis, and to produce a novel drug that will effectively suppress the immune reaction and improve the treatment.
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.
ADAM Metalloprotease Inhibition For Treatment Of Colorectal Cancer
Funder
National Health and Medical Research Council
Funding Amount
$770,925.00
Summary
Colorectal cancer (CRC) causes over 4000 deaths/year, typically from developing drug resistance and spreading to other organs (metastasis). These processes involve tumour cells called cancer stem cells (CSCs), which rely on specific cell surface proteins for survival and function. We are developing antibodies against one of these type of proteins, to test in mouse models of CRC. These already show promise in targeting CSCs and inhibiting drug-resistance and metastasis in mice.
Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less
Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learnin ....Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learning of the syntax and semantics of individual gestures and actions, nor the multi-gesture information fusion required for understanding, which could significantly enhance efficiency, for example, in sorting through named entities in an investigation. All of this is done naturally by most human beings, using biological neural networks.Read moreRead less
Mechanisms Of Glucocorticoid Resistance In Acute Lymphoblastic Leukaemia
Funder
National Health and Medical Research Council
Funding Amount
$547,970.00
Summary
Glucocorticoids are extremely active drugs used in the treatment of childhood acute lymphoblastic leukaemia (ALL), yet a proportion of patients respond poorly to therapy and exhibit resistance at relapse. Clinically relevant mechanisms of glucocorticoid resistance are poorly understood, principally due to lack of appropriate experimental models. This project will reveal novel mechanisms of drug resistance in childhood leukaemia and lead to novel therapeutic strategies to improve outcome.
Industrial Transformation Training Centres - Grant ID: IC230100001
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre for Automated Vehicles in Rural and Remote Regions. The Centre will build skills and capability to test and deploy safe, socially acceptable, automated vehicles (AV) for rural, regional and remote Australian public roads, where manufacturing, agriculture, mining and defence industries face significant challenges of driver shortages, rising costs, long distances, rough roads, and environmental impacts. The centre will unite technology providers, regulators, government and end ....ARC Training Centre for Automated Vehicles in Rural and Remote Regions. The Centre will build skills and capability to test and deploy safe, socially acceptable, automated vehicles (AV) for rural, regional and remote Australian public roads, where manufacturing, agriculture, mining and defence industries face significant challenges of driver shortages, rising costs, long distances, rough roads, and environmental impacts. The centre will unite technology providers, regulators, government and end users with world-leading interdisciplinary researchers to create new human-AV systems, datasets, frameworks, case studies, platforms, and a vastly upskilled workforce. This will reduce transport costs, increase capacity, boost supply chain efficiency and resilience, improve road safety, and elevate Australian capability.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347131
Funder
Australian Research Council
Funding Amount
$115,490.00
Summary
Intelligent Computer System to Access Information Directly from the Brain Using High Resolution Electroencephalography and Repetitive Transcranial Magnetic Stimulation. The ambitious aim of this project is to create a novel intelligent computer system which accesss information from the brain. To do this we use repetitive Transcranial Magnetic Stimulation and high resolution Electroencephalography.