Optimising Radiation Therapy Delivery For Cancer Patients Using Daily Image Guidance To Maximize Cure And Reduce Normal Tissue Side Effects
Funder
National Health and Medical Research Council
Funding Amount
$510,968.00
Summary
When using radiotherapy to kill tumours, the radiation beams need to be targeted at the tumour, plus a margin of error around it to ensure that it receives sufficient dose despite uncertainties in its exact location relative to reference points used for beam alignment. Advanced statistical modelling techniques applied to data collected from patients will be used to determine the optimal margin width for individual patients to maximise cancer cure while minimising normal tissue side effects.
Photosynthetic traits as “key performance indicators” of coral health. The objective of this project is to advance knowledge on the healthy functioning of the coral–algal symbiosis, which defines the response of coral reef ecosystems to worldwide environmental change. Current approaches to address this problem have linked coral health to algal symbiont diversity but have been unable to resolve the fundamental symbiont functional traits that govern this link – the “key performance indicators (KPI ....Photosynthetic traits as “key performance indicators” of coral health. The objective of this project is to advance knowledge on the healthy functioning of the coral–algal symbiosis, which defines the response of coral reef ecosystems to worldwide environmental change. Current approaches to address this problem have linked coral health to algal symbiont diversity but have been unable to resolve the fundamental symbiont functional traits that govern this link – the “key performance indicators (KPIs)”. This project plans to couple advanced physiological and functional genomics techniques to transform our understanding of how algal symbiont metabolic KPIs regulate coral growth and stress susceptibility. This may provide new diagnostic capability for the assessment of coral health and may enable us to improve coral reef ecosystem management.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100168
Funder
Australian Research Council
Funding Amount
$413,847.00
Summary
Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features w ....Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features will then be used to characterise the morphological and functional changes, which provide opportunities to increase understanding of progression of diseases of individual subject. The outcome from this project will provide new insights into system biology with potential future benefits in healthcare.Read moreRead less
Low Cost High Precision Radiotherapy: A Synergistic Framework For Tumour Tracking During Treatment
Funder
National Health and Medical Research Council
Funding Amount
$318,768.00
Summary
Advances in technology have enabled radiotherapy to become more sophisticated and more efficient at treating cancer. Yet, despite its sophistication, today radiotherapy suffers from a major problem: whilst we routinely image patients prior to treatment, no anatomical information is available during treatment. This project aims to solve this problem by making use of a number of sensors that are already available in a radiotherapy to track the tumours positions during treatment, when it counts.
RNA-based analysis for prediction of islet death in diabetes. Death of insulin-producing cells is a common feature in diabetes. Presently, a blood glucose test remains the only blunt instrument to diagnose diabetes. The RNA-based analysis for prediction of islet death in diabetes (RAPID) study links with eight clinical trials to test this newly developed non-invasive assay for predicting diabetes. Early diagnosis will help to reduce diabetic complications in later life.
Novel tractography-guided MRI methods for studying healthy brain ageing. Advances in imaging, and particularly Magnetic Resonance Imaging, have opened a new era in the study of the brain enabling a myriad of neuroscience discoveries. This project aims to develop new analysis methods to study and understand the variability in the human brain during ageing, exploiting the wealth of information contained in the so-called tractogram, a mapping of the brain’s wiring. This project expects to develop i ....Novel tractography-guided MRI methods for studying healthy brain ageing. Advances in imaging, and particularly Magnetic Resonance Imaging, have opened a new era in the study of the brain enabling a myriad of neuroscience discoveries. This project aims to develop new analysis methods to study and understand the variability in the human brain during ageing, exploiting the wealth of information contained in the so-called tractogram, a mapping of the brain’s wiring. This project expects to develop innovative imaging biomarkers to characterise the brain changes in the course of healthy brain ageing. Expected outcomes include novel imaging tools for neuroscience, which should allow us to map trajectories of normative healthy brain ageing and use them to identify lifestyle factors that impact these trajectories.Read moreRead less