Skip to content

Search

Mining single-cell data for cell type-disease associations

A robust understanding of the cellular mechanisms underlying diseases sets the foundation for the effective design of drugs and other interventions. The wealth of existing single-cell atlases offers the opportunity to uncover high-resolution information on expression patterns across various cell types and

Real world effectiveness of early ensitrelvir treatment in patients with SARS-CoV-2, a retrospective case series

Ensitrelvir, a 3C-like protease inhibitor, received emergency approval in Japan in November 2022 for treating non-hospitalized patients with mild-to-moderate COVID-19. However, confirmation of its real-world clinical effectiveness is limited.

Session Rating of Perceived Exertion Is a Valid Method to Monitor Intensity of Exercise in Adults with Acute Burn Injuries

Measuring exercise intensity for safety and to inform prescription in acute burn survivors, is challenging. This study aimed to assess the validity of adult patient end-of-workout rating of session perceived exertion (sRPE); and calculated training load (TL) (sRPE × session duration) as measures of exercise intensity. Secondly, the study aimed to compare clinician and patient perception of exercise effort during physiotherapist-led sessions.

Social Support Buffers the Association Between Alcohol Use and Depression in Australian Men

Alcohol use and depression are known correlates of one another, especially in men, and are influenced by a range of demographic and psychosocial factors. This study examined the association between alcohol use and depressive symptoms in a large representative cohort of Australian men. We also tested whether this association differed by men's age, household income, social support, illicit drug use and help-seeking.

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 Zealand

Type 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 %.

Parental work schedules and hours from a cross-national perspective: a welfare regime analysis on 29 countries

Technological advances have transformed when and for how long individuals work, a process associated with increasing polarization and precarity. Using the European Working Conditions Survey (2005-2015), we examined parental work schedules and hours across welfare regimes covering 29 European countries.

Invasive Fungal Disease in Immunocompromised Children: Current and Emerging Therapies

In 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.

“Stop, pause and take a break”: a mixed methods study of the longer-term outcomes of digital emotional wellbeing training for perinatal women

Maternal psychological distress is related to poorer physical and mental health as well as child developmental problems. Interventions that optimise maternal mental health and wellbeing during the "first 1,000 days" of life should have wide-reaching benefits for the mother and her child.

Parental experiences of using continuous glucose monitoring in their young children with early-stage type 1 diabetes: a qualitative interview study

To explore parents' experiences of using continuous glucose monitoring in their young children with early-stage type 1 diabetes, being followed in the Australian Environmental Determinants of Islet Autoimmunity (ENDIA) study.

Net Promoter Score Model for Evaluating Paediatric Medicine Acceptability: Validation and Feasibility Study

Medicine acceptability is crucial for paediatric drug development, yet its assessment remains challenging due to the multifaceted nature of sensory attributes like taste, smell, and mouthfeel. Traditional methods of acceptability evaluation often involve complex questionnaires and lack standardisation, leading to difficulties in a comparative analysis across studies.