Optimization Of Splice Switching Therapies To Treat Duchenne Muscular Dystrophy
Funder
National Health and Medical Research Council
Funding Amount
$448,827.00
Summary
Duchenne muscular dystrophy, the most common and serious form of childhood muscle wasting, is caused by mutations in the dystrophin gene that block synthesis of the normal product. Antisense oligomers have been used in clinical trials to remove the disease-causing part of the message and rescue expression. Clinical trials have demonstrated proof-of-concept, although individual responses varied. This application seeks to improve the therapeutic potential of these compounds.
Improving Global Tuberculosis Control With The AuTuMN Platform
Funder
National Health and Medical Research Council
Funding Amount
$655,059.00
Summary
Tuberculosis (TB) is the world’s leading infectious killer, with the failure of global control responsible for the vast majority of Australia’s cases. Using our robustly developed software platform, we have performed several country-level studies to predict the future burden of disease and compare the impact of alternative responses to controlling the epidemic. In this project, we will extend our platform to perform simulations at the global level and answer key questions in TB control.
Computerised Surveillance Of Invasive Fungal Infections In Hospitals Using Existing Hospital Information Systems
Funder
National Health and Medical Research Council
Funding Amount
$123,453.00
Summary
Patients undergoing organ transplants or chemotherapy for cancer are susceptible to infections caused by fungi. Hospital outbreaks of fungal infections related to construction have occurred. Monitoring of these infections is required due to their considerable heath and economic costs. We aim to build a computerised system allowing for the real-time identification of fungal infections, leading to improved outcomes for patients, early recognition of hospital outbreaks and cost-savings.
Preterm birth is a major cause of neonatal death and cerebral palsy. This grant will provide proof-of-concept that a computer program can be developed to predict a pregnant woman�s risk of preterm birth. There is a large market (4M US and 8M Europe), there are no competing technologies. This is a unique collaboration between Biomedical Engineering and an Australian centre with an international reputation in preterm birth, assisted by a pathology company.
Optimising Computerised Decision Support To Transform Medication Safety And Reduce Prescriber Burden
Funder
National Health and Medical Research Council
Funding Amount
$325,546.00
Summary
As medication management in Australian hospitals shifts from paper to electronic formats, organisations are faced with a difficult decision: should drug-drug interaction (DDI) alerts be turned on and if so, which alerts? In this study, we propose a highly innovative approach to assess DDI alerts, which combines a robust evaluation of error rates with a human factors evaluation of alerts.