Reducing time for vascular access salvage: initial results from a single institution's clinical practice improvement programme.

Background: One of the most common causes of arteriovenous fistula (AVF) and/or arteriovenous graft (AVG) failure is thrombosis. Guidelines recommend early AVF salvage within 24-48 hours. Our institution reported poor compliance with these recommendations, with a median of 3 days prior to vascular access (VA) salvage.

Spatial transcriptomics identifies novel Pseudomonas aeruginosa virulence factors.

To examine host-pathogen interactions, we leveraged a dual spatial transcriptomics approach that simultaneously captures the expression of Pseudomonas aeruginosa genes alongside the entire host transcriptome using a murine model of ocular infection. This method revealed differential pathogen- and host-specific gene expression patterns in infected corneas, which generated a unified transcriptional map of infection. By integrating these data, we developed a predictive ridge regression model trained on images from infected tissues.

Fuzzy-Label Weighted Deep Learning Classification for CT Image Quality Evaluation.

This paper proposes a fuzzy-label weighted deep learning-based image classification approach for assessing computed tomography (CT) image quality. More specifically, we want to determine if a captured CT image passes Quality Assessment (QA) with a certain radiation dose. Our contributions here include proposing a fuzzy-label weighting method and introduces the concept of a "fuzzy-label" (to reflect the confidence of the ground-truth annotation by annotator) to aid in the training of deep learning-based image classification.

Disparities in Stage at Presentation for Disaggregated Asian American, Native Hawaiian, and Pacific Islander Patients with Breast Cancer.

Introduction: Cancer is the leading cause of death among Asian American, Native Hawaiian, and Pacific Islander (AA&NHPI) populations, who are among the most diverse and rapidly growing racial/ethnic groups in the United States. Despite this population's diverse socioeconomic, cultural, and immigration backgrounds, little is known about the within-group disparities in breast cancer stages at diagnosis. This study aims to identify AA&NHPI subgroups at heightened risk for advanced breast cancer by analyzing detailed incidence rates and diagnostic stages across these diverse subgroups.

A Retrospective Study of Clinical Biomarkers of Severe Dengue in a Tertiary Hospital in Johor Bahru, Malaysia.

Management of severe dengue remains a clinical challenge. This retrospective study evaluated clinical features and laboratory biomarkers associated with severe dengue at Hospital Sultanah Aminah Johor Bahru from 1 January 2022 to 31 March 2023. Records of 99 patients, categorized into ICU (51) and non-ICU (48) groups, were identified and analyzed using SPSS version 28.