Helping Stroke Physicians Choose Who To Thrombolyse - The Targeting Optimal Thrombolysis Outcomes (TOTO) Study
Funder
National Health and Medical Research Council
Funding Amount
$1,073,140.00
Summary
Thrombolysis using alteplase is one of the most effective treatments for stroke but is currently used in only 5% of stroke cases. A major barrier is a lack of tools to identify who will benefit from treatment, or who might have a major adverse event. In this study we will develop a clinical decision rule based on clinical data, advanced CT imaging, and blood biomarkers to help identify those who will benefit and those likely to bleed, to encourage wider use of this treatment in acute stroke.
Precision Treatment For Multiple Sclerosis: Maximising The Effect Of Immunomodulatory Therapy
Funder
National Health and Medical Research Council
Funding Amount
$537,272.00
Summary
Response to therapy varies greatly among patients with multiple sclerosis (MS). The current lack of individualised MS therapy may lead to suboptimal MS management and accumulation of preventable disability. We will use MSBase, a large international MS cohort, to evaluate the effect of different treatment strategies and of highly effective and novel therapies. Identifying the patients who will benefit from these therapies, we will provide the key evidence for individualised MS management.
New Approaches For Predicting Obstetric Complications: Measuring Circulating RNA Of Feto-placental Origin
Funder
National Health and Medical Research Council
Funding Amount
$322,286.00
Summary
Preeclampsia (PE) and intrauterine growth restriction are serious complications of pregnancy and are the leading causes of newborn death and disability. We propose developing a blood test to accurately predict those at high risk of these complications. Early prediction would provide clinicians an opportunity to intensively manage such pregnancies, enabling early intervention and maximising good outcomes.
Investigation Of Factors That Influence Aboriginal Maternal And Infant Health Outcomes: Improvements To Be Achieved With The Introduction Of Aboriginal Health Workers Into Tertiary Care
Funder
National Health and Medical Research Council
Funding Amount
$590,790.00
Summary
Closing the gap in perinatal outcomes between Aboriginal and non-Aboriginal women requires improvement of antenatal and postnatal care. To date, no Aboriginal Health Workers (AHW) are involved in the provision of care at tertiary hospitals. This study will introduce AHWs in tertiary setting to improve cultural safety of the current biomedical model, assess their role in supporting perinatal care, and define the best model of care for Aboriginal women at high risk of pregnancy complications.
In Australia, over 2000 families suffer the tragedy of stillbirth each year. By building on our achievements of the first Stillbirth CRE rapidly translating new research into maternity care, we will reduce stillbirth rates by 20%, and reduce inequities in stillbirth rates by Australia by 2025. We also anticipate a reduction in adverse neonatal outcomes. When stillbirth or neonatal death does occur, our research aims to ensure that all women and families receive optimal care.
Staying Connected: Personalising Stroke Recovery And Rehabilitation Through New Technologies For People With Stroke Living At Home.
Funder
National Health and Medical Research Council
Funding Amount
$1,730,999.00
Summary
One in 4 people experience a stroke. On return home the person with stroke is challenged to sense, move, think, and engage in valued activities with an altered brain and body. Yet the current approach to ongoing recovery is limited. We propose to: monitor for markers of recovery using personalised sensors and artificial intelligence; deliver bursts of therapy at point of need, at home; and provide feedback through new technologies and a central hub...to stay connected, and to recover at home.
Prediction Of Fracture By Clinico-genetic Profiling
Funder
National Health and Medical Research Council
Funding Amount
$2,339,215.00
Summary
The loss of bone with advancing age is the main cause of osteoporosis and bone fracture. Bone loss is highly variable between individuals, and we are not sure why. I want to find out factors that contribute to bone loss, and then use this knowledge to identify individuals at high risk of excessive bone loss for early prevention. My goal over the next 5 years is to create a new clinico-genetic model for assessing the rate of bone loss, and predicting the risk of fracture for an individual.