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Effects of human rhinovirus on epithelial barrier integrity and function in children with asthma

This study demonstrates novel intrinsic differences in tight junctions gene and protein expression between airway epithelial cells of children with and without asthma

The Ultra-High-Risk for psychosis groups: Evidence to maintain the status quo

Our findings demonstrate that Ultra-High-Risk groups evidence a similar clinical risk profile when we expand this beyond transition to psychosis

Elucidating the genetic architecture of Adams-Oliver syndrome in a large European cohort

The purpose of this study was therefore to comprehensively examine the genetic architecture of Adams-Oliver syndrome in an extensive cohort

Effectiveness of a 3 + 0 pneumococcal conjugate vaccine schedule against invasive pneumococcal disease among a birth cohort of 1.4 million children in Australia

Our population-based cohort study demonstrates that >90% coverage in the first year of a universal 3 + 0 PCV program provided high population-level protection

Latent profiles of early developmental vulnerabilities in a New South Wales child population at age 5 years

Patterns of early childhood developmental vulnerabilities may provide useful indicators for particular mental disorder outcomes in later life

RT Prepare: a radiation therapist-delivered intervention reduces psychological distress in women with breast cancer referred for radiotherapy

The RT Prepare intervention was effective in reducing breast cancer patients’ psychological distress and preparing patients for treatment

Development and Assessment of Cumulative Risk Measures of Family Environment and Parental Investments in the Longitudinal Study of Australian Children

This study aimed to derive and assess summary indices of three domains of the family environment, including a Family Stress Index, Home Education Index and Parenting Index

Predicting language difficulties in middle childhood from early developmental milestones: A comparison of traditional regression and machine learning techniques

The current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood