Availability of ethically consented, clinically annotated human cancer tissue is a key determinant of the international competitiveness of Australian biomedical researchers. This project will provide a structured national network to collect, process and disseminate tumour tissue; strategically target specific tumour types such as mesothelioma and rare paediatric tumours that can only be collected in substantial numbers through the formation of such a network and provide infrastructure that can b ....Availability of ethically consented, clinically annotated human cancer tissue is a key determinant of the international competitiveness of Australian biomedical researchers. This project will provide a structured national network to collect, process and disseminate tumour tissue; strategically target specific tumour types such as mesothelioma and rare paediatric tumours that can only be collected in substantial numbers through the formation of such a network and provide infrastructure that can be contracted by clinical and translational researchers. The project builds on a wealth of experience in tissue banking, large-scale molecular genetic and genomic studies in breast, ovarian, colorectal cancers and mesothelioma, and on an established consortium _ the Australasian Biospecimen Network.Read moreRead less
The Australia Medical Bioinformatics Resource (AMBeR)
Funder
National Health and Medical Research Council
Funding Amount
$2,185,000.00
Summary
This proposal is to build a new national medical bioinformatics resource - the Australian Medical Bioinformatics Resource (AMBeR) - and to enhance the national capacity in this important area. We aim to bring together Australia's unique resources for genetic epidemiology and genomics with high level expertise in bioinformatics and statistical science, conduct advanced methodological research, develop new research capacity and competitiveness in cutting-edge techniques, bring them to bear on impo ....This proposal is to build a new national medical bioinformatics resource - the Australian Medical Bioinformatics Resource (AMBeR) - and to enhance the national capacity in this important area. We aim to bring together Australia's unique resources for genetic epidemiology and genomics with high level expertise in bioinformatics and statistical science, conduct advanced methodological research, develop new research capacity and competitiveness in cutting-edge techniques, bring them to bear on important medical research problems, train young Australians in bioinformatics and advanced biostatistics, and transfer this expertise to the medical research community.Read moreRead less
Selective Modulation Of Neural Network Activity Using Focal Brain Stimulation
Funder
National Health and Medical Research Council
Funding Amount
$531,496.00
Summary
Transcranial magnetic stimulation (TMS) has been touted as a viable treatment for a range of psychiatric and neurological disorders. However, the extent to which localised TMS influences widespread brain networks remains unknown. To fill this gap, we will combine neuroimaging and TMS in healthy adults. The project will provide a scientific foundation for the use of brain stimulation as an effective tool for improving function in a range of clinical conditions.
Understanding Complex Genomic And Biochemical Landscapes In Human Health Microbiology
Funder
National Health and Medical Research Council
Funding Amount
$2,210,520.00
Summary
There is increasing awareness of the critical roles microbes play in health. The microbes in our gut produce chemicals that control everything from our moods, to food metabolism and immune system function. In this proposal leading-edge technologies from the disciplines of microbiology, genomics, mass-spectrometry and computational biology will be used to reveal for the first time how and why these chemicals are produced by microbes in complex systems that are important for human health.
Developing Interpretable Machine Learning Models For Clinical Imaging And Single-cell Genomics
Funder
National Health and Medical Research Council
Funding Amount
$1,312,250.00
Summary
Machine learning methods will be vital to make best use of the deluge of data generated by high-throughput technologies in biomedical science. To get the most out of these models, however, we need to be able to unpack the 'black box'. I will use curated clinical and public research data to benchmark and develop interpretable deep learning models and software tools. These models will be used for breast cancer screening programs and for analysis of complex, large-scale single-cell genomics data.
Harnessing The Power Of Single Cell Sequencing To Advance Biomedical Research
Funder
National Health and Medical Research Council
Funding Amount
$2,013,220.00
Summary
Our ability to sequence the DNA code has advanced rapidly in the last 10 years but this data is large and complex and we need advanced computational and statistical methods to analyse these data. Now we are able to generate this data from individual cells. I will provide the analysis approached that are required in order to use this data to understand the complexity of tissues at a cellular resolution. This will provide deep molecular insights into development and disease.
DIAMONDS - Diagnosis And Management Of Febrile Illness Using RNA Personalised Molecular Signature Diagnosis
Funder
National Health and Medical Research Council
Funding Amount
$391,897.00
Summary
We will develop and validate technologies to provide rapid diagnosis to patients presenting to primary care and hospitals on the basis of gene expression signatures in blood.