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Research

Coupling of response biomarkers between tumor and peripheral blood in patients undergoing chemoimmunotherapy

Platinum-based chemotherapy in combination with anti-PD-L1 antibodies has shown promising results in mesothelioma. However, the immunological mechanisms underlying its efficacy are not well understood and there are no predictive biomarkers to guide treatment decisions.

Research

Applying causal inference and Bayesian statistics to understanding vaccine safety signals using a simulation study

Community perception of vaccine safety influences vaccine uptake. Our objective was to assess current vaccine safety monitoring by examining factors that may influence the availability of post-vaccination survey data, and thereby the specificity and sensitivity of existing signal detection methods.

Research

Mapping Drug-Resistant Tuberculosis Treatment Outcomes in Hunan Province, China

Drug-resistant tuberculosis (DR-TB) remains a major public health challenge in China, with varying treatment outcomes across different regions. Understanding the spatial distribution of DR-TB treatment outcomes is crucial for targeted interventions to improve treatment success in high-burden areas such as Hunan Province. This study aimed to map the spatial distribution of DR-TB treatment outcomes at a local level and identify sociodemographic and environmental factors associated with poor treatment outcomes in Hunan Province, China.

Research

Food Allergy Genetics and Epigenetics: A Review of Genome-Wide Association Studies

In this review, we provide an overview of food allergy genetics and epigenetics aimed at clinicians and researchers. This includes a brief review of the current understanding of genetic and epigenetic mechanisms, inheritance of food allergy, as well as a discussion of advantages and limitations of the different types of studies in genetic research. 

Research

Virome assembly reveals draft genomes of native Pseudomonas phages isolated from a paediatric bronchoalveolar lavage sample

We present lung virome data recovered through shotgun metagenomics in bronchoalveolar lavage fluid from an infant with cystic fibrosis, who tested positive for Stenotrophomonas maltophilia infection. Using a bioinformatic pipeline for virus characterization in shotgun metagenomic data, we identified five viral contigs representing Pseudomonas phages classified as Caudoviricetes.

Research

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.

Research

Does lung function in preschoolers help to predict asthma in later life?

The earliest respiratory function assessments, within or close to the neonatal period, consistently show correlations with lung function and with the development of asthma into adulthood. Measurements of lung function in infancy reflect the in utero period of lung development, and if early enough, show little influence of postnatal environmental exposures. 

Research

Anaphylactic Reactions During Bee Venom Immunotherapy in the Paediatric Population

A retrospective study will review episodes of anaphylaxis during bee venom immunotherapy in children, any modifications made to the dosing schedule, and the subsequent outcomes over a nine-year period in Western Australia.

Research

#TransTok: a digital ethnographic study using content analysis to investigate transgender and gender diverse ‘for you page’ content on TikTok that may affect mental health

Transgender and gender diverse (“trans”) people are more likely to experience adverse mental health outcomes due to the social adversities that are commonly experienced. One ameliorating factor for poor mental health outcomes can be connection to community, often facilitated in online spaces such as TikTok.

Research

Predicting immune protection against outcomes of infectious disease from population-level effectiveness data with application to COVID-19

Quantifying the extent to which previous infections and vaccinations confer protection against future infection or disease outcomes is critical to managing the transmission and consequences of infectious diseases. We present a general statistical model for predicting the strength of protection conferred by different immunising exposures (numbers, types, and strains of both vaccines and infections), against multiple outcomes of interest, whilst accounting for immune waning.