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Research Topic : predictive
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  • Researchers (7)
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  • Funded Activity

    Pesonalised Risk Prediction For Severe Treatment-related Gastrointestinal Toxicity In Paediatric Cancer Patients Using Pre-treatment Gut Microbiome Analysis

    Funder
    National Health and Medical Research Council
    Funding Amount
    $408,768.00
    Summary
    The gut is home to trillions of good and bad bacteria, critical to human health. Each person has a different balance of bacteria, unique to their gut, which shapes their immune system and susceptibility to disease. I will investigate how the unique gut bacteria, in children with blood cancer, can be used to predict which children will develop severe gut side effects (diarrhoea) from their chemotherapy. This will identify high-risk children, enable personalised treatment and improve survival.
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    Funded Activity

    Identification And Molecular Characterisation Of High-risk Premalignant Breast Lesions

    Funder
    National Health and Medical Research Council
    Funding Amount
    $560,382.00
    Summary
    Understanding the full repertoire of genetic events that underlie the development of breast cancer may allow development of prevention strategies. This study will analyse genetic data of benign breast lesions that may be non-obligate precursors of breast cancer. Importantly, clinical management of these lesions is difficult. A reliable method of predicting the risk of progression to cancer would be a significant advance, with benefits to individual patients and also the health system.
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    Funded Activity

    A Predictive Model For The Utilization Of Homecare Services

    Funder
    National Health and Medical Research Council
    Funding Amount
    $34,383.00
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    Funded Activity

    Personalising Care In Operable Pancreas Cancer. GAP-T: A Study Of Imaging And Molecular Biomarkers To Guide Treatment Of Patients Receiving Preoperative Chemotherapy Followed By Surgery.

    Funder
    National Health and Medical Research Council
    Funding Amount
    $405,345.00
    Summary
    We are studying ways to improve how we treat patients with pancreatic cancer. We will use a novel imaging tool, the PET scanner, to show where active cancer is and how quickly and how well a new drug combination (gemcitabine and nab-paclitaxel) is affecting the cancer. We will also study if measuring the expression of specific proteins (SPARC and hENT1) in the cancer affects the outcome and will allow us to determine ahead of time which patients will benefit most from the drugs.
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    Funded Activity

    Assessment And Prediction Of Blood Flow Dynamics In Congenital Aortic Abnormalities Using Image-based Computer Modelling And Wave Intensity Analysis

    Funder
    National Health and Medical Research Council
    Funding Amount
    $390,925.00
    Summary
    Severe aortic abnormality is a serious problem in many infants with congenital heart disease, but it is often unclear what type of treatment will optimise blood flow and minimise the risk of later complications. This study aims to harness recent developments in blood flow modelling, magnetic resonance imaging and advanced blood flow analysis techniques to determine the factors that lead to complications in these children, thereby providing crucial information for improving treatment strategies.
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    Funded Activity

    Biomarkers In Barrett's Oesophagus And Oesophageal Adenocarcinoma

    Funder
    National Health and Medical Research Council
    Funding Amount
    $67,690.00
    Summary
    Barrett’s oesophagus (BO) is a condition in which the normal lining of the lower oesophagus is replaced with intestine-like tissue as a response to long-standing acid reflux. BO can progress to oesophageal adenocarcinoma (OAC), an aggressive cancer with poor 5-year survival rates of ~15%. This project aims at detecting genetic and molecular changes that occur in both BO and OAC and which may help predict the risk of progression as well as survival for patients affected by this disease entity.
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    Funded Activity

    Forecasting The Impact Of Climate Change On Dengue Transmission

    Funder
    National Health and Medical Research Council
    Funding Amount
    $506,432.00
    Summary
    Dengue fever (DF) is the most important mosquito-transmitted viral disease in the world. The large-scale re-emergence of DF in the Asia-Pacific region during the past few decades has renewed its status as a serious international public health problem. Global climate change is anticipated to impact upon the biology and ecology of vectors and consequently the risk of DF transmission. The principal research aim of this study is to project the impact of future climate change on DF.
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    Funded Activity

    Utilising Functional Magnetic Imaging To Predict Pre-clinical Parkinson�s Disease In Patients With Idiopathic Rapid Eye Movement Sleep Behaviour Disorder

    Funder
    National Health and Medical Research Council
    Funding Amount
    $83,712.00
    Summary
    In an ageing Australian population a rise in the number of people with neurodegenerative conditions, such as Parkinson's Disease (PD) is inevitable. The ability to accurately identify those people who are destined to develop such diseases, might offer a mechanism by which such progression could be aborted. This project will seek to identify a reliable method whereby cases of PD could be detected several years before they can currently be diagnosed.
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    Funded Activity

    Molecular Determinants Of Diversity In Drug And Chemical Metabolism: Towards Designer Drugs And Enzymes

    Funder
    National Health and Medical Research Council
    Funding Amount
    $3,330,340.00
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    Funded Activity

    Development Of Prognostic And Predictive Biomarkers To Aid Treatment Of Lung Cancer

    Funder
    National Health and Medical Research Council
    Funding Amount
    $188,226.00
    Summary
    Although a number of new therapies are emerging in the treatment of lung cancer, chemotherapy remains the backbone of treatment for most patients. Currently we are unable to predict who will benefit from chemotherapy with some patients deriving no benefit but experiencing significant toxicity. Our group has investigated a number of biomarkers and found them to predict response to chemotherapy. These markers may be used to determine patients most likely to derive benefit from chemotherapy.
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