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Showing results for "mental health aboriginal"
You may have heard we're moving to our new home at Perth Children's Hospital later this year, sadly this means we've had to cancel our camps.
The Artificial Intelligence team at the Wal-yan Respiratory Research Centre is dedicated to delivering AI solutions for major challenges in respiratory healthcare and research.
Natasha, who is a participant in the West Australian Lung Health in Prematurity (WALHIP) study, this week became the first person to receive a lung health assessment using new state-of-the-art lung function testing equipment at Perth Children’s Hospital.
ENVISAGE is a free peer support program specifically designed for parents and caregivers of children aged 0-8 years with disabilities or developmental concerns. Term 3 dates now released.
Meet Christina and Danae, the newest members of the Client Support team at CliniKids.
Recognition that schools should be responsive to children who are impacted by adversity and trauma is burgeoning internationally. However, consensus regarding the necessary components of a trauma-informed school is lacking. This research developed expert-informed and internationally relevant best-practice trauma-informed principles for schools.
The World Health Organization identifies a strong surveillance system for malaria and its mosquito vector as an essential pillar of the malaria elimination agenda. Anopheles salivary antibodies are emerging biomarkers of exposure to mosquito bites that potentially overcome sensitivity and logistical constraints of traditional entomological surveys.
Our objective was to establish and test a machine learning-based screening process that would be applicable to systematic reviews in pharmaceutical sciences. We used the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) model, a broad search strategy, and a machine learning tool (Research Screener) to identify relevant references related to y-site compatibility of 95 intravenous drugs used in neonatal intensive care settings.
This study assessed the relationship between maternal working hours and stunting, underweight and obesity in children under age 5 in China, using data from the China Nutrition and Health Survey (CNHS) conducted in 2002 and multivariable logistic regression. We found that maternal work hours 25–40 or >40 h per week were associated with a higher risk for underweight and stunting (under growth) in children under age 5.
To determine population-based rates of non-fatal complications of rheumatic heart disease (RHD).