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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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Factors influencing public perceptions of child neglect: A mixed methods studyMore than 1 in 5 children experience neglect, exposing them to several adverse consequences. Children with intellectual disability experience additional neglect related challenges. Public perceptions significantly influence the identification, intervention, and prevention of child neglect.
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Gene editing and cardiac disease modelling for the interpretation of genetic variants of uncertain significance in congenital heart diseaseGenomic sequencing in congenital heart disease (CHD) patients often discovers novel genetic variants, which are classified as variants of uncertain significance (VUS). Functional analysis of each VUS is required in specialised laboratories, to determine whether the VUS is disease causative or not, leading to lengthy diagnostic delays.
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The influence of the COVID pandemic on the management of URTI in childrenBritta Regli-von Ungern-Sternberg AM FAHMS MD, PhD, DEAA, FANZA Chair of Paediatric anaesthesia, University of Western Australia; Consultant
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A novel Fc-enhanced humanized monoclonal antibody targeting B7-H3 suppresses the growth of ESCCEsophageal squamous cell carcinoma (ESCC) is a prevalent malignant tumor of the digestive tract with a low 5-year survival rate due to the lack of effective treatment methods. Although therapeutic monoclonal antibodies (mAbs) now play an important role in cancer therapy, effective targeted mAbs are still lacking for ESCC.
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The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-AnalysisDigital health interventions (DHIs) are effective in improving poor nutrition, physical inactivity, overweight and obesity. There is evidence suggesting that the impact of DHIs may be enhanced by improving user engagement. However, little is known about the overall effectiveness of strategies on engagement with DHIs.
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Interobserver Agreement When Diagnosing Hypoventilation in Children With Neuromuscular DisordersNeuromuscular disorders can lead to nocturnal hypoventilation. Accurate diagnosis of hypoventilation is imperative to guide treatment decisions. This study determined interobserver agreement for a number of definitions of nocturnal hypoventilation in children and adolescents with neuromuscular disorders.
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The role of WhatsApp™ in pediatric difficult airway management: A study from the PeDI CollaborativeManagement of the pediatric difficult airway can present unique clinical challenges. The Pediatric Difficult Intubation Collaborative (PeDI-C) is an international collaborative group engaging in quality improvement and research in children with difficult airways. The PeDI-C established a WhatsApp™ group to facilitate real-time discussions around the management of the difficult airway in pediatric patients.
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Systematic Review of Household Transmission of Strep A: A Potential Site for Prevention That Has Eluded AttentionAlthough Streptococcus pyogenes (Strep A) is the sixth-most common infectious disease globally, its transmission within the household remains an understudied driver of infection. We undertook a systematic review to better understand the transmission of Strep A among people within the home, while highlighting opportunities for prevention.