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We have started a project utilising whole genome sequencing of undiagnosed children living in WA to provide a definitive diagnosis. A major challenge here is that the role and functions of the inter-genic regions of our genome (the remaining 98%) are relatively poorly understood.
We are made up of hundreds of different cell types carrying out a diverse range of functions essential for organism survival. All the information required to specify the morphology, function and response to stimuli of these cells is encoded in identical copies of the genome. The process of gene regu
Current technologies to understand which genes are turned on or off only work on large amounts of biological samples. As a consequence all measurements we receive represent averages across multiple cell types present in the sample. The situation is comparable to studying the contents of a bowl of fr
The Kids Research Institute Australia congratulates Prof Gareth Baynam and Dr Timo Lassmann on their grant over three years from the McCusker Charitable Foundation.
The vision of the Perioperative Medicine Team is to make discoveries that will improve children’s perioperative care and lead to global practice change.
The Chronobiology team works to understand the factors that contribute to poor lung and heart function in newborn infants and find ways to prevent heart and lung disease.
The Respiratory Environmental Health team conducts research in early life determinants of lung growth and development, respiratory environmental health, and mechanisms of airway dysfunction in asthma and other respiratory disease.
The Foundations of Lung Disease Team is focused on improving the diagnosis, treatment, and lifelong care of childhood lung disease.
We’ve heard from families that trustworthy information about preterm-associated lung disease is difficult to find. In response, we’ve created resources to empower families with the knowledge they need to manage these challenges.
The Translational Genomics in Leukaemia team is focused on identifying the causes of leukaemia, with the goal of developing new targeted treatments to improve quality of care and long-term survival for all children with leukaemia.
Preterm babies have a heightened risk of infection as their immune system is not mature. The Neonatal Health Team is exploring new ways to diagnose, prevent and treat infections in WA's smallest patients .
Our Child Health Analytics Team uses cutting-edge technologies to better understand how and why the health and wellbeing of children varies from place to place. We develop innovative geospatial methods that can harness large, complex datasets to pinpoint hotspots of elevated risk, evaluate change through time, and explore underlying drivers.
ORIGINS is Australia's largest longitudinal cohort study of its kind. Following 10,000 WA children from their time in the womb into early childhood, ORIGINS researchers are working to better understand when and why non-communicable diseases develop, and provide solutions for early intervention to ensure every child and family flourishes throughout their lifetime.
We have recently published a paper identifying precursor populations in peripheral lung (2017), and have also discovered that these populations can be found in multiple tissues.
The Geospatial and Tuberculosis (GeoTB) team led by Kefyalew Alene focuses on designing an innovative approach for improving the efficiency and effectiveness of public health interventions to help control and ultimately eliminate tuberculosis in high-burden countries.
We help shape how the world responds to infectious diseases: guiding vaccine and treatment development, and advising on public health measures to control and eliminate disease. Our mathematical models capture how diseases spread, how severe infections are, and how childhood exposure shapes health across a lifetime.
The Infectious Disease Ecology and Modelling team led by Professor Nick Golding, combines mathematical and statistical modelling, ecology, and public health to address malaria and other infectious and vector-borne diseases. The team uses modelling and maps to measure the risk posed by some of the world’s most important and neglected diseases – including malaria, Japanese Encephalitis and COVID-19 – and provide rapid modelling analyses to policy makers.