Activation Of BMP4 Signalling To Inhibit Breast Cancer Metastasis
Funder
National Health and Medical Research Council
Funding Amount
$748,742.00
Summary
The spread of cancer cells to other organs is a common cause of breast cancer-related death in women. Current therapies for advanced breast cancer are often palliative since the secondary tumours become resistant to the chemotherapy. Here, we are using preclinical models of advanced breast cancer to develop a treatment that should be effective in patients with secondary tumours and should reduce the risk of dying of this disease.
Identifying And Exploiting Novel Pharmacological Targets For Breast Cancer
Funder
National Health and Medical Research Council
Funding Amount
$431,000.00
Summary
Breast cancers are made up of different types of cancer cells, and not all cells contribute equally. A subset of cancer cells may be uniquely capable of driving tumor growth, rebuilding fatal tumors after therapy and establishing new tumors at distant sites. Identifying and exploiting the pathways that regulate the activity and survival of these cells will lead to better modes of treatment, and move towards a relapse-free future for breast cancer patients.
Glycine Transporters regulate the concentration of glycine in the spinal cord and brain. It has been suggested that elevating glycine levels in these regions may be useful in treating pain and schizophrenia. This project will provide the basis for the development of new glycine transport inhibitors that may be used to treat these conditions.
Targeting Fungal Phospholipid Metabolism For Antifungal Drug Discovery
Funder
National Health and Medical Research Council
Funding Amount
$828,557.00
Summary
Invasive fungal infections are a serious and escalating health problem. They cause severe disease with a high death rate and are very costly to the health system. New antifungal drugs with novel properties are needed now because there are problems with current drugs. This project aims to develop potent new antifungal drugs that are effective in many fungal diseases and are well-tolerated.
Development Of A New High Throughput Screen For Drug Binding To HERG K+ Channels
Funder
National Health and Medical Research Council
Funding Amount
$351,320.00
Summary
Inadvertent drug block of hERG, a potassium channel in the heart, can cause cardiac arrhythmias and sudden cardiac death. Screening for hERG toxicity has become a major hurdle for development of new drugs. We will use a mutant hERG protein that has enhanced drug binding to develop a high throughput test for hERG toxicity. Identification of dangerous drugs early in the drug discovery process will save the pharmaceutical industry millions of dollars in the costs of brining new drugs to market.
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.
Discovery Early Career Researcher Award - Grant ID: DE230100495
Funder
Australian Research Council
Funding Amount
$422,154.00
Summary
Structured Federated Learning for Personalised Intelligence on Devices. The project aims to develop a new structured federated machine-learning framework to enhance the customisation of artificial intelligence across mobile and smart devices. It seeks to enable users to receive customised services on their devices without sending their sensitive personal data to a cloud service provider. Anticipated benefits include greater privacy, data security and device performance, as well as better end-use ....Structured Federated Learning for Personalised Intelligence on Devices. The project aims to develop a new structured federated machine-learning framework to enhance the customisation of artificial intelligence across mobile and smart devices. It seeks to enable users to receive customised services on their devices without sending their sensitive personal data to a cloud service provider. Anticipated benefits include greater privacy, data security and device performance, as well as better end-user experience. Expected outcomes of this research include new knowledge, toolkits and algorithms for use in developing machine-learning based secure, efficient and fault-tolerant technologies for software applications, mobile services, cloud computing, autonomous vehicles and advanced manufacturing processes.Read moreRead less
Glucocorticoid Resistance In Paediatric Acute Lymphoblastic Leukaemia
Funder
National Health and Medical Research Council
Funding Amount
$394,721.00
Summary
Glucocorticoids are among the most effective drugs used in the treatment of many haematological malignancies, including leukaemia, lymphoma and multiple myeloma. However, the development of tumour cell resistance to these drugs remains a significant problem, and clinically relevant mechanisms of glucocorticoid resistance remain poorly understood. This project aims to define mechanisms of resistance to glucocorticoids and develop new drugs to reverse resistance.
Translational Research Initiatives In Acute Leukaemia
Funder
National Health and Medical Research Council
Funding Amount
$631,010.00
Summary
Recent research has focussed on molecular characterisation of high-risk acute leukaemia subtypes. This proposal will combine the power of genomic analysis, global analysis of protein kinases and stringent preclinical drug testing in order to improve the treatment of these high-risk acute leukaemia subtypes. Several innovative and interrelated projects within this Program will utilise a unique and clinically relevant experimental model to achieve their goals.