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The future of paediatric obstructive sleep apnoea assessment: Integrating artificial intelligence, biomarkers, and more

Assessing obstructive sleep apnoea in children involves various methodologies, including sleep studies, nocturnal oximetry, and clinical evaluations. Previous literature has extensively discussed these traditional methods. 

Airborne personal protective equipment availability and preparedness in Australian and New Zealand intensive care units: A point prevalence survey

Personal protective equipment is essential to protect healthcare workers when exposed to aerosol-generating procedures in patients with airborne respiratory pathogens.

Understanding wellbeing from the perspective of youth with chronic conditions: A group concept mapping approach

Promoting wellbeing for youth is a global health priority and young people with chronic conditions demonstrate disproportionately low wellbeing compared to their peers. However, wellbeing is variably defined, and little is understood as to what wellbeing means for this population. The aim of this study was to develop a conceptualisation of wellbeing that is rooted in the perspectives of young people with chronic conditions. 

Empowering quality education through sustainable and equitable electricity access in African schools

Although most people born this century will be educated in African schools, these schools often lack basic infrastructure, such as electricity and/or lighting. In the face of a rapidly growing school-age population in Africa, the electrification of educational facilities is not just an infrastructural challenge but also a pivotal investment in the continent’s future workforce.

Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes — A large multi-centre study in Australia and New Zealand

Type 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.

Measuring the Burden of Epilepsy Hospitalizations in CDKL5 Deficiency Disorder

Information on the hospital service use among individuals with CDKL5 Deficiency Disorder, an ultrarare developmental epileptic encephalopathy, is limited, evidence of which could assist with service planning. Therefore, using baseline and longitudinal data on 379 genetically verified individuals in the International CDKL5 Disorder Database, we aimed to investigate rates of seizure-related and other hospitalizations and associated length of stay in this cohort.

International workshop: what is needed to ensure outcome measures for Rett syndrome are fit-for-purpose for clinical trials? June 7, 2023, Nashville, USA

The clinical, research and advocacy communities for Rett syndrome are striving to achieve clinical trial readiness, including having fit-for-purpose clinical outcome assessments. This study aimed to (1) describe psychometric properties of clinical outcome assessment for Rett syndrome and (2) identify what is needed to ensure that fit-for-purpose clinical outcome assessments are available for clinical trials.

Streptococcus pyogenes pharyngitis elicits diverse antibody responses to key vaccine antigens influenced by the imprint of past infections

Knowledge gaps regarding human immunity to Streptococcus pyogenes have impeded vaccine development. To address these gaps and evaluate vaccine candidates, we established a human challenge model of S. pyogenes pharyngitis. Here, we analyse antibody responses in serum and saliva against 19 antigens to identify characteristics distinguishing 19 participants who developed pharyngitis and 6 who did not.

Examining Changes in Implementation of Priority Healthy Eating and Physical Activity Practices, and Related Barriers, Over Time in Australian Early Childhood Education and Care Services

Promoting healthy eating and physical activity in early childhood education and care is recommended within guidelines and supported by health promotion programs; however, implementation is suboptimal. Evidence suggests implementation within the sector varies over time; however, this has not been empirically examined in relation to implementation barriers. 

Mining single-cell data for cell type-disease associations

A robust understanding of the cellular mechanisms underlying diseases sets the foundation for the effective design of drugs and other interventions. The wealth of existing single-cell atlases offers the opportunity to uncover high-resolution information on expression patterns across various cell types and