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Innovation in Informatics to Improve Clinical Care and Drug Accessibility for Rare Diseases in ChinaIn China, there are severe unmet medical needs of people living with rare diseases. Relatedly, there is a dearth of data to inform rare diseases policy. This is historically partially due to the lack of informatics infrastructure, including standards and terminology, data sharing mechanisms and network; and concerns over patient privacy protection.
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Echinocandins in Pediatric Invasive Candidiasis and the Challenges of Antifungal Use in ChildrenIn pediatric invasive candidiasis (IC), epidemiology and risk factors differ compared to adults. Furthermore, the use of antifungals in children is challenging and requires consideration of availability and tolerability of formulations, pharmacokinetic and pharmacodynamic variations, and safety in different age groups.
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Early Intervention Delivery Methods for New Zealand Children with Autism: Current Practices Versus Parental PreferencesLittle is known about parent preferences regarding delivery methods of early interventions. This research examined, through parent report, the current and preferred delivery methods of seven common educational early interventions accessed by New Zealand children with autism spectrum disorder.
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Phage therapy for multi-drug resistant respiratory tract infectionsThe emergence of multi-drug resistant (MDR) bacteria is recognised today as one of the greatest challenges to public health. As traditional antimicrobials are becoming ineffective and research into new antibiotics is diminishing, a number of alternative treatments for MDR bacteria have been receiving greater attention. Bacteriophage therapies are being revisited and present a promising opportunity to reduce the burden of bacterial infection in this post-antibiotic era.
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Innate Immune Training for Prevention of Recurrent Wheeze in Early ChildhoodPat Deborah Holt Strickland PhD, DSc, FRCPath, FRCPI, FAA PhD Emeritus Honorary Researcher Head, Pregnancy and Early Life Immunology Patrick.Holt@
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The relationship between meal carbohydrate quantity and the insulin to carbohydrate ratio required to maintain glycaemia is non-linear in young people with type 1 diabetes: A randomized crossover trialTo determine if the relationship between meal carbohydrate quantity and the insulin to carbohydrate ratio (ICR) required to maintain glycaemia is linear in people with type 1 diabetes.
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The Effect of Hypoglycemia on Spectral Moments in EEG Epochs of Different Durations in Type 1 Diabetes PatientsThe potential of using an electroencephalogram (EEG) to detect hypoglycemia in patients with type 1 diabetes has been investigated in both time and frequency domains. Under hyperinsulinemic hypoglycemic clamp conditions, we have shown that the brain's response to hypoglycemic episodes could be described by the centroid frequency and spectral gyration radius evaluated from spectral moments of EEG signals.
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Effectiveness of Foodbank Western Australia’s food sensations® for adults food literacy program in regional AustraliaFood Sensations for Adults, funded by the Western Australian Department of Health, is a four-week nutrition education program focused on food literacy, with demonstrated success amongst Western Australians. In the last two years, 25% of programs have been in regional and remote areas and therefore the aim of this research is to explore the impact of the program in regional areas.
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Effects of dietary omega-3 intake on vigilant attention and resting-state functional connectivity in neurotypical children and adolescentsVigilant Attention (VA) is a critical cognitive function allowing to maintain our attention, particularly in redundant or intellectually unchallenging situations. Evidence has shown that, as the brain develops, VA abilities rapidly improve throughout childhood and adolescence.
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Differential cell counts using center-point networks achieves human-level accuracy and efficiency over segmentationDifferential cell counts is a challenging task when applying computer vision algorithms to pathology. Existing approaches to train cell recognition require high availability of multi-class segmentation and/or bounding box annotations and suffer in performance when objects are tightly clustered.