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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 ZealandType 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 %.
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Developmental Mismatch Across Brain Modalities in Young ChildrenBrain development during the preschool period is complex and extensive and underlies ongoing behavioral and cognitive maturation. Increasing understanding of typical brain maturation during this time is critical to early identification of atypical development and could inform treatments and interventions.
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Invasive Fungal Disease in Immunocompromised Children: Current and Emerging TherapiesIn an era of expanding indications for iatrogenic immunosuppression, invasive fungal disease (IFD) remains a significant challenge in immunocompromised children, with case fatality rates ranging from 10 to 70%. Understanding of current recommendations and recent evidence is essential to guide optimal IFD management.
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Ion channel modulator DPI-201-106 significantly enhances antitumor activity of DNA damage response inhibitors in glioblastomaGlioblastoma, a lethal high-grade glioma, has not seen improvements in clinical outcomes in nearly 30 years. Ion channels are increasingly associated with tumorigenesis, and there are hundreds of brain-penetrant drugs that inhibit ion channels, representing an untapped therapeutic resource. The aim of this exploratory drug study was to screen an ion channel drug library against patient-derived glioblastoma cells to identify new treatments for brain cancer.
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Healthy skin for children and young people with skin of colour starts with clinician knowledge and recognitionSkin conditions most frequently encountered in paediatric practice include infections, infestations, atopic dermatitis, and acne. Skin of colour refers to skin with increased melanin and darker pigmentation, and reflects global racial and ethnic diversity.
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Antimicrobial Resistance in Enterobacterales, Acinetobacter spp. and Pseudomonas aeruginosa Isolates From Bloodstream Infections in Australian Children, 2013–2021Gram-negative bloodstream infections are associated with significant morbidity and mortality in children. Increasing antimicrobial resistance (AMR) is reported globally, yet efforts to track pediatric AMR at a national level over time are lacking.
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Real time monitoring of respiratory viral infections in cohort studies using a smartphone appCohort studies investigating respiratory disease pathogenesis aim to pair mechanistic investigations with longitudinal virus detection but are limited by the burden of methods tracking illness over time. In this study, we explored the utility of a purpose-built AERIAL TempTracker smartphone app to assess real-time data collection and adherence monitoring and overall burden to participants, while identifying symptomatic respiratory illnesses in two birth cohort studies.
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Effects of dog ownership on children’s social-emotional development: findings from the PLAYCE cohort studyDog ownership is common in families with children and could play a role in children's social-emotional development. This study used longitudinal data on dog ownership and changing dog ownership to investigate their effects on young children's social-emotional development.
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Impact of integrating traditional care with the modern healthcare system in reducing tuberculosis diagnosis delays in Ethiopia: a clustered randomized controlled studyDiagnosis and treatment initiation delays for tuberculosis (TB) are significant challenges in resource-limited settings. These delays can result in poor treatment outcomes, disease transmission, and increased costs. This study aimed to assess the effect of integrating traditional care with modern healthcare systems on reducing TB diagnosis delay.
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Mapping fertility rates at national, sub-national, and local levels in Ethiopia between 2000 and 2019Fertility rates are key indicators of population health and demographic change, influencing economic development, healthcare planning, and social policies. Understanding subnational variation in fertility rate is important for effective geographical targeting and policy prioritization. This study aimed to identify geographic variation, trends, and determinants of fertility rates in Ethiopia over the past two decades.