Towards the Development of an Optical Biosensor for the Detection of Human Blood for Forensic Analysis.

Blood is a common biological fluid in forensic investigations, offering significant evidential value. Currently employed presumptive blood tests often lack specificity and are sample destructive, which can compromise downstream analysis. Within this study, the development of an optical biosensor for detecting human red blood cells (RBCs) has been explored to address such limitations.

Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI).

Introduction: Diagnostic imaging is vital in emergency departments (EDs). Accessibility and reporting impacts ED workflow and patient care. With radiology workforce shortages, reporting capacity is limited, leading to image interpretation delays.

AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study.

Introduction: A non-contrast CT head scan (NCCTH) is the most common cross-sectional imaging investigation requested in the emergency department. Advances in computer vision have led to development of several artificial intelligence (AI) tools to detect abnormalities on NCCTH. These tools are intended to provide clinical decision support for clinicians, rather than stand-alone diagnostic devices.

The Development and Characterisation of ssDNA Aptamers via a Modified Cell-SELEX Methodology for the Detection of Human Red Blood Cells.

Blood is one of the most commonly found biological fluids at crime scenes, with the detection and identification of blood holding a high degree of evidential value. It can provide not only information about the nature of the crime but can also lead to identification via DNA profiling. Presumptive tests for blood are usually sensitive but not specific, so small amounts of the substrate can be detected, but false-positive results are often encountered, which can be misleading.

Single versus Double Drainage for Immediate Two-Stage Implant-Based Breast Reconstruction: A Propensity Score-Matched Analysis.

Background: Reports evaluating plastic surgeons' practices indicate there are conflicting trends regarding the use of one or two drains for implant-based breast reconstruction (IBBR). Our study aimed to perform a matched cohort analysis to examine the postoperative outcomes and complications of immediate IBBR with tissue expander (TE) using two drains versus a single drain.

Methods: A propensity score-matched analysis (nearest neighbor, 1:1 matching) of immediate reconstructions using two versus one drain was conducted.