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Incidence of Stroke in the Aboriginal and Non-Aboriginal Populations of Australia: A Data Linkage StudyMost estimates of stroke incidence among Aboriginal and Torres Strait Islander (hereinafter Aboriginal) Australians are confined to single regions and include small sample sizes. We aimed to measure and compare stroke incidence in Aboriginal and non-Aboriginal residents across central and western Australia.
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Severe Congenital Heart Defects and Cerebral PalsyTo report the prevalence of cerebral palsy (CP) in children with severe congenital heart defects (sCHD) and the outcome/severity of the CP.
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Hospitalizations from Birth to 28 Years in a Population Cohort of Individuals Born with Five Rare Craniofacial Anomalies in Western AustraliaTo describe trends, age-specific patterns, and factors influencing hospitalizations for 5 rare craniofacial anomalies.
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Reliability of the Commonly Used and Newly-Developed Autism MeasuresThe aim of the present study was to compare scale and conditional reliability derived from item response theory analyses among the most commonly used, as well as several newly developed, observation, interview, and parent-report autism instruments.
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Clinical Trials in the Brain Tumour Population: Challenges and Strategies for the FutureThis review identifies challenges and barriers to successful development of drugs in neuro-oncology trials at the preclinical, clinical and translational stages that we believe has contributed to poor outcomes for patients over the last 30 years.
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Nature Connection: Providing a Pathway from Personal to Planetary HealthThe vast and growing challenges for human health and all life on Earth require urgent and deep structural changes to the way in which we live. Broken relationships with nature are at the core of both the modern health crisis and the erosion of planetary health. A declining connection to nature has been implicated in the exploitative attitudes that underpin the degradation of both physical and social environments and almost all aspects of personal physical, mental, and spiritual health.
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Maternal diet modulates the infant microbiome and intestinal Flt3L necessary for dendritic cell development and immunity to respiratory infectionPoor maternal diet during pregnancy is a risk factor for severe lower respiratory infections in the offspring, but the underlying mechanisms remain elusive. Here, we demonstrate that in mice a maternal low-fiber diet led to enhanced LRI severity in infants because of delayed plasmacytoid dendritic cell recruitment and perturbation of regulatory T cell expansion in the lungs.
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Copy number variation in tRNA isodecoder genes impairs mammalian development and balanced translationThe number of tRNA isodecoders has increased dramatically in mammals, but the specific molecular and physiological reasons for this expansion remain elusive. To address this fundamental question we used CRISPR editing to knockout the seven-membered phenylalanine tRNA gene family in mice, both individually and combinatorially.
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Developmental trajectories of socio-emotional outcomes of children and young people in out-of-home care – Insights from data of Pathways of Care Longitudinal Study (POCLS)There has been a limited understanding of the longitudinal trajectory and determinants of socio-emotional outcomes among children in out-of-home care (OOHC). This study aimed to examine child socio-demographics, pre-care maltreatment, placement, and caregiver factors associated with trajectories of socio-emotional difficulties of children in OOHC.
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Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq dataMachine learning (ML) algorithms are powerful tools that are increasingly being used for sepsis biomarker discovery in RNA-Seq data. RNA-Seq datasets contain multiple sources and types of noise (operator, technical and non-systematic) that may bias ML classification. Normalisation and independent gene filtering approaches described in RNA-Seq workflows account for some of this variability and are typically only targeted at differential expression analysis rather than ML applications.