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The Global Disease Modelling group informs development and implementation of drugs, medical treatments and non-medical interventions to effectively tackle disease. They build mathematical models of diseases, designed to take into account the complex constellation of interactions between pathogens, humans, diseases, the environment and entire healthcare systems.

Research

The Ngangk Ngabala Ngoonda (Sun Safety) project aims to address an urgent health issue and knowledge gap by generating a greater understanding of the barriers to sun protective behaviours and skin cancer prevention among Aboriginal CYP and their families in WA.

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.

The Penicillin Team are working to accelerate research and clinical trials to improve penicillin formulation and treatment methods, to end RHD.

Research Theme

Uses personalised approaches to healthcare, aiming to tailor prevention and treatment strategies based on genetic, environmental, and lifestyle factors. This theme strives to make healthcare more targeted and effective for each child's unique needs.

Epigenomic research at The Kids explores the links between childhood disease and the molecular hallmarks of epigenetic control.

Mitochondrial diseases are devastating disorders for which there are no cures or effective treatments. Our project will focus on the prevention of mitochondrial diseases and discovery of effective cures.

Research

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.

Research

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

Research

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