HARNESSING T CELL QUALITY FOR PANDEMIC PREPAREDNESS
Funder
National Health and Medical Research Council
Funding Amount
$503,146.00
Summary
Developing highly effective vaccines is critical to rapidly combat global pandemics. To generate a protective antibody response against novel viruses, a vaccine must elicit a targeted B cell response supported by effective CD4 T cell help. We propose that existing CD4 T cell memory can be harnessed to rapidly and effectively support B cell responses to novel vaccine candidates. This work will contribute to pandemic preparedness strategies and improve the development pathway for new vaccines.
Facial paralysis results in loss of the ability to blink, which is the primary means of protecting and lubricating the eye. The eye becomes dry and ulcerated and eventually vision loss ensues. No therapy exists that can reliably restore blink and hence treatment is mostly palliative today. BLINC is an implantable device that artificially restores eye closure. It is wirelessly powered and readily implantable. BLINC has achieved eye closure similar to natural blinking in human cadaveric models.
Improving Cardiac Valve Implant Outcomes With Advanced Computer Simulation
Funder
National Health and Medical Research Council
Funding Amount
$593,367.00
Summary
This project focuses on improving heart valve procedures, specifically focusing on new transcatheter techniques of heart valve implantation. The research uses advanced imaging and computer simulation techniques to predict the outcome and improve minimally invasive heart procedures.
Predictive Models To Design And Develop New Antibiotics Derived From The Community For Open Antimicrobial Drug Discovery
Funder
National Health and Medical Research Council
Funding Amount
$977,427.00
Summary
With the rise of infections from multidrug-resistant bacteria, and limited antibiotics in the development pipeline, new strategies are required to generate novel antibiotics. This project will apply artificial intelligence methods to study a unique dataset generated over five years with the help of over 300 academic groups around the world. It will produce predictive models that will then be applied to design new antibiotics, which will be synthesized and tested for antimicrobial activity.