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A world-first program for babies with differences in their social and communication skills is aiming to help parents and caregivers better understand the different ways their child communicates.

Healthy skin is a vital factor in the fight against life-threatening conditions like sepsis, heart disease and kidney disease, all of which can be caused by the bacteria Strep A.

Nearly 170 years ago a British doctor applied geospatial mapping to identify the source of a cholera outbreak in central London.

Communities in the Central Great Southern region have known for years that dental health is a major issue for the smallest residents of their towns.

A website providing the latest research and resources on Fetal Alcohol Spectrum Disorder (FASD) is helping parents, educators, health professionals and policy makers navigate the complexities of the neurodevelopmental impairment condition.

Amy Bertinshaw had a choice between ‘wait and see’ or seek help when she noticed her son Stirling was slower to meet developmental milestones at age 12 months.

The WA Kids Cancer Centre has a suite of world-leading research projects to unlock new treatments for childhood cancers.

The Kids Research Institute Australia position on schools and COVID-19 in Western Australia
Research
Immune impacts of infant whole-cell and acellular pertussis vaccination on co-administered vaccinesWe compared the effect of a heterologous wP/aP/aP primary series (hereafter mixed wP/aP) versus a homologous aP/aP/aP primary schedule (hereafter aP-only) on antibody responses to co-administered vaccine antigens in infants and toddlers.
Research
Quantitative electroencephalogram and machine learning to predict expired sevoflurane concentration in infantsProcessed electroencephalography (EEG) indices used to guide anesthetic dosing in adults are not validated in young infants. Raw EEG can be processed mathematically, yielding quantitative EEG parameters (qEEG). We hypothesized that machine learning combined with qEEG can accurately classify expired sevoflurane concentrations in young infants. Knowledge from this may contribute to development of future infant-specific EEG algorithms.