Search
Research
Development of a high-sensitivity and short-duration fluorescence in situ hybridization method for viral mRNA detection in HEK 293T cellsCoronavirus disease 2019 (COVID-19) is an extremely contagious illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Early disease recognition of COVID-19 is crucial not only for prompt diagnosis and treatment of the patients, but also for effective public health surveillance and response.
Research
Load-velocity relationships and predicted maximal strength: A systematic review of the validity and reliability of current methodsMaximal strength can be predicted from the load-velocity relationship, although it is important to understand methodological approaches which ensure the validity and reliability of these strength predictions.
Research
Caregiver sensitivity predicts infant language use, and infant language complexity predicts caregiver language complexity, in the context of possible emerging autismWhile theory supports bidirectional effects between caregiver sensitivity and language use, and infant language acquisition-both caregiver-to-infant and also infant-to-caregiver effects-empirical research has chiefly explored the former unidirectional path. In the context of infants showing early signs of autism, we investigated prospective bidirectional associations with 6-min free-play interaction samples collected for 103 caregivers and their infants (mean age 12-months; and followed up 6-months later).
Research
Parents' COVID-19 vaccine intentions for children under 5 years: Brief reflections from a qualitative studyAustralian authorities made COVID-19 vaccines available for children aged under 5 years old with serious comorbidities in August 2022. There is presently no universal programme for young children, but crucial to any rollout's success is whether parents are motivated and able to vaccinate. By examining parents' vaccine intentions, this study aims to inform current and future COVID-19 vaccine roll-outs for children aged under 5 years.
Research
Hypothesis-driven genome-wide association studies provide novel insights into genetics of reading disabilitiesReading Disability is often characterized by difficulties in the phonology of the language. While the molecular mechanisms underlying it are largely undetermined, loci are being revealed by genome-wide association studies.
Research
The Staphylococcus aureus Network Adaptive Platform Trial Protocol: New Tools for an Old FoeStaphylococcus aureus bloodstream (SAB) infection is a common and severe infectious disease, with a 90-day mortality of 15%-30%. Despite this, <3000 people have been randomized into clinical trials of treatments for SAB infection.
Research
Nationally Subsidized Continuous Glucose Monitoring: A Cost-effectiveness AnalysisThe Continuous Glucose Monitoring (CGM) Initiative recently introduced universal subsidized CGM funding for people with type 1 diabetes under 21 years of age in Australia. We thus aimed to evaluate the cost-effectiveness of this CGM Initiative based on national implementation data and project the economic impact of extending the subsidy to all age-groups.
Research
A phase III, multicenter, randomized, double-blind, active comparator-controlled study to evaluate the safety, tolerability, and immunogenicity of catch-up vaccination regimens of V114, a 15-valent pneumococcal conjugate vaccine(PNEU-PLAN)Despite widespread use of pneumococcal conjugate vaccines (PCVs) in children, morbidity and mortality caused by pneumococcal disease (PD) remain high. In addition, many children do not complete their PCV course on schedule. V114 is a 15-valent PCV that contains two epidemiologically important serotypes, 22F and 33F, in addition to the 13 serotypes present in PCV13, the licensed 13-valent PCV.
Research
Feasibility of unsedated lung MRI in young children with cystic fibrosisKathryn Ramsey BSc (Hons), PhD Co-Head, Foundations of Lung Disease kathryn.ramsey@thekids.org.au Co-Head, Foundations of Lung Disease Associate
Research
Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015Preterm birth is a global public health problem with a significant burden on the individuals affected. The study aimed to extend current research on preterm birth prognostic model development by developing and internally validating models using machine learning classification algorithms and population-based routinely collected data in Western Australia.