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Research

Eye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to differentiate 2-4-year-old autistic from non-autistic children.

Research

Most outdoor food advertising (e.g. billboards and bus stops) features foods that are considered unhealthy. The most important technical challenge when designing policies to restrict unhealthy outdoor food advertising is defining 'unhealthy food'. To date, most restriction policies have used nutrient profiling models (i.e. foods are classified according to their nutritional composition) to determine which foods and beverages may be advertised. In Australia, state governments have endorsed a food category-based classification system, with no prescribed nutrient limits, which may create ambiguity when multiple users are identifying food advertisements to be restricted. 

Research

When investigating whether a variant identified by diagnostic genetic testing is causal for disease, applied genetics professionals evaluate all available evidence to assign a clinical classification. Functional assays of higher and higher throughput are increasingly being generated and, when appropriate, can provide strong functional evidence for or against pathogenicity in variant classification. Despite functional assay data representing unprecedented value for genomic diagnostics, challenges remain around the application of functional evidence in variant curation.

Research

Country-level estimates can mask local geographic variations in progress toward achieving World Health Organization's End TB targets. This study aimed to identify spatial variations in progress toward achieving the TB incidence reduction target at a district level in Ethiopia.

Research

The increasing prevalence of multidrug-resistant Acinetobacter baumannii as an opportunistic pathogen in wound infections raises significant concerns due to its antibiotic resistance and biofilm-mediated antibiotic tolerance. This underscores the urgent need to explore an alternative approach to effectively managing wound infections caused by MDR A. baumannii.

Research

Preterm birth is associated with a 3.3-fold increased likelihood of autism diagnosis, with lower gestational age conferring higher likelihood. In Australia, autism is typically diagnosed at around age four, potentially missing the optimal neuroplasticity window before age two. The Social Attention and Communication Surveillance-Revised (SACS-R) tool identifies early autism signs in children aged 11-30 months, enabling pre-emptive intervention.

Research

Rheumatic heart disease (RHD) is the most important cause of acquired cardiovascular disease in children and young adults. Virtually non-existent in most of Australia, it still predominantly affects Aboriginal communities.

Research

Acute rheumatic fever is an autoimmune disorder resulting from Group A Streptococcus pharyngitis or impetigo in children and adolescents, which may evolve to rheumatic heart disease (RHD) with persistent cardiac valve damage. RHD causes substantial mortality and morbidity globally, predominantly among socioeconomically disadvantaged populations, with an interplay of social determinants of health and genetic factors determining overall risk.

Research

We compared the effect of a heterologous wP/aP/aP primary series (hereafter mixed wP/aP) versus a homologous aP/aP/aP primary schedule (hereafter aP-only) on antibody responses to co-administered vaccine antigens in infants and toddlers.

Research

Processed electroencephalography (EEG) indices used to guide anesthetic dosing in adults are not validated in young infants. Raw EEG can be processed mathematically, yielding quantitative EEG parameters (qEEG). We hypothesized that machine learning combined with qEEG can accurately classify expired sevoflurane concentrations in young infants. Knowledge from this may contribute to development of future infant-specific EEG algorithms.