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Development of a pharmaceutical science systematic review process using a semi-automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting

Our objective was to establish and test a machine learning-based screening process that would be applicable to systematic reviews in pharmaceutical sciences. We used the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) model, a broad search strategy, and a machine learning tool (Research Screener) to identify relevant references related to y-site compatibility of 95 intravenous drugs used in neonatal intensive care settings.

Nanoremediation Associated with Microorganisms

Environmental pollution has a detrimental effect on human health. Short and long-term exposure to harmful pollutants can lead to serious ailments and incurable diseases. Consequently, it is necessary to manage the environmental contaminants to mitigate or even eliminate the deleterious effects to living beings.

Do parent-reported early indicators predict later developmental language disorder? A Raine Study investigation

Developmental language disorder (DLD) is one of the most common neurodevelopmental conditions. Due to variable rates of language growth in children under 5 years, the early identification of children with DLD is challenging. Early indicators are often outlined by speech pathology regulatory bodies and other developmental services as evidence to empower caregivers in the early identification of DLD.

Ear and hearing outcomes in Aboriginal infants living in an urban Australian area: the Djaalinj Waakinj birth cohort study

Describe the ear and hearing outcomes in Aboriginal infants in an Australian urban area. Aboriginal infants enrolled in the Djaalinj Waakinj prospective cohort study had ear health screenings at ages 2-4, 6-8 and 12-18 months and audiological assessment at ∼12 months of age. Sociodemographic, environmental characteristics, otoscopy, otoacoustic emissions, tympanometry and visual reinforcement audiometry data were collected.

The queers are all right: a content analysis of LGBTQIA + mental health on TikTok

The formation of online communities instils a sense of connectedness which can ameliorate the mental health concerns that result from minority stressors for lesbian, gay, queer, intersex, asexual, and other diverse genders/sexualities (LGBTQIA+). The aim of this study was to explore how LGBTQIA + people communicate social and mental health concerns on TikTok.

Circulating epigenomic biomarkers correspond with kidney disease susceptibility in high-risk populations with type 2 diabetes mellitus

To investigate epigenomic indices of diabetic kidney disease (DKD) susceptibility among high-risk populations with type 2 diabetes mellitus. 

The impact for DCD – USA study: The current state of Developmental Coordination Disorder (DCD) in the United States of America

Developmental Coordination Disorder (DCD) is among the most under-recognized and under-supported disorders worldwide. The aim of this study was to present a preliminary national study that evaluated the unmet needs of children with DCD in the USA using the Impact for DCD survey.

Investigating the impact of autistic children's feeding difficulties on caregivers

The aim of this study was to investigate the influence of children's autism characteristics, sensory profiles and feeding difficulties on caregiver-reported impact at mealtimes.

Joint developmental trajectories of internalizing and externalizing problems from mid-childhood to late adolescence and childhood risk factors: Findings from a prospective pre-birth cohort

There is limited evidence on heterogenous co-developmental trajectories of internalizing and externalizing problems from childhood to adolescence and predictors of these joint trajectories. We utilized longitudinal data from Raine Study participants to identify these joint trajectories from 5 to 17 years using parallel-process latent class growth analysis and analyze childhood individual and family risk factors predicting these joint trajectories using multinomial logistic regression.

Impacts of body weight change on treatment outcomes in patients with multidrug-resistant tuberculosis in Northwest Ethiopia

Measuring body weight during therapy has received insufficient attention in poor resource settings like Ethiopia. We aimed to investigate the association between weight change during therapy and treatment outcomes among patients with multidrug-resistant tuberculosis in northwest Ethiopia.