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

    Predictive Modelling Of Health Trajectories

    Funder
    Digital Health CRC
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    Funded Activity

    The Pandemic Imperative: Clinical Data And Analytics Platform To Improve Clinical Outcomes Through Point-of-care Decision Support

    Funder
    Digital Health CRC
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    Funded Activity

    Spatial Management Of Health Risk: Applying Geospatial Technology For Risk Visualisation, Hotspot Identification, And Analysis Of Geographic Variation

    Funder
    Digital Health CRC
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    Funded Activity

    Developing Innovative Technologies To Support Behaviour Change After Myocardial Infarction

    Funder
    Digital Health CRC
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    Funded Activity

    Preventing Medicine Related Emergency Department Visits In People With Renal Impairment

    Funder
    Digital Health CRC
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    Funded Activity

    Predicting Resident Deterioration And Acute Care Needs In Aged Care

    Funder
    Digital Health CRC
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    Funded Activity

    A Medication Adherence Platform For Reducing The Cost Of Medication Errors And Non-adherence

    Funder
    Digital Health CRC
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    Funded Activity

    Individual Level Predictive Models For Management Of Postoperative Pain

    Funder
    Digital Health CRC
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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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    Showing 1-10 of 37 Funded Activites

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