Skip to content
The Kids Research Institute Australia logo
Donate

No results yet

Search

Showing results for "Au"

Share your story

Your Stories Get in touch If you would like to share your story or chat through something in particular, please reach out. April Welsh Development

News & Events

Universal protocols for Strep A surveillance set to transform research for world-first vaccine

A global consortium of Group A Streptococcus (Strep A) researchers has launched a series of best practice surveillance protocols designed to unite international research efforts for a world-first Strep A vaccine.

News & Events

Key appointments to drive early childhood collaboration

Leading child health researcher Professor Donna Cross has been appointed as Director of the new Early Childhood Development and Learning Collaboration, hosted b

News & Events

Safe use of mobile phones with T1D

The advancement of technology to assist the daily routine of diabetes is extremely helpful. However, it is important to create clear boundaries in the use of technology. Our social work team have some great tips to set up healthy routines.

Illuminate Events

Your presence connects brilliant minds with the support they need to fuel bold ideas.

Research

Outcomes to 5 years of outborn versus inborn infants <32 weeks in Western Australia: A cohort study of infants born between 2005 and 2018

We compared mortality and morbidity of inborn versus outborn very preterm infants <32 weeks' gestation in Western Australia (WA) between 2005 and 2018

Research

Airway and parenchymal transcriptomics in a novel model of asthma and COPD overlap

Asthma and chronic obstructive pulmonary disease (COPD) are common chronic respiratory diseases, and some patients have overlapping disease features, termed asthma-COPD overlap. Patients characterized with ACO have increased disease severity; however, the mechanisms driving this have not been widely studied.

Research

Development of a pharmaceutical science systematic review process using a semi-automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting

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.