Impact of Hypothermic Oxygenated Machine Perfusion on Immune Cell Clearance in Liver Transplantation: Enhancing Graft Function and Post-Transplant Outcomes.

Hypothermic oxygenated machine perfusion (HOPE) has emerged as a critical innovation in liver transplantation (LTx), offering significant protection against ischemia-reperfusion injury (IRI). This study focuses on quantifying and characterizing immune cells flushed out during HOPE to explore its effects on graft function and post-transplant outcomes. Fifty liver grafts underwent end-ischemic HOPE.

"Shedding the status"-a meta-analysis on the individual propensity to shed skin material in the context of forensic trace analysis.

The so-called "shedder status", which can more precisely be referred to as "individual shedding propensity" (ISP), has been the subject of forensic genetic research for more than two decades. Numerous studies have been published on this topic many of which report contradictory and/or insufficiently documented results regarding the existence, influencing factors, classifications of and test methodologies for the ISP of skin material. To date, there is no scientific consensus on the best way to register and conceptualize this variable, that is essential for the assessment of DNA transfer events.

Effectiveness of spinal cord stimulation in diabetic patients with chronic limb-threatening ischemia: small cohort study.

Background: Chronic limb-threatening ischemia (CLTI) is the most severe form of peripheral artery disease (PAD). Patients with diabetes mellitus (DM) have a faster progression of PAD and a fourfold increased risk of CLTI compared to patients without DM. Epidural spinal cord stimulation (SCS) has been used as a method to improve microcirculation, relieve ischemic pain and reduce the number of amputations in patients with PAD.

Evaluation of an artificial intelligence-based intraocular lens calculator: AI-based IOL-optimized formula.

Purpose: To evaluate the ZEISS AI IOL Calculator (ZEISS AI) and compare its accuracy in refractive prediction to the Barrett Universal II (BUII) and Kane formulas.

Setting: Cullen Eye Institute, Baylor College of Medicine, Houston, TX.

Design: Retrospective case series.

Leveraging environmental microbial indicators in wastewater for data-driven disease diagnostics.

Introduction: Wastewater-based surveillance (WBS) is an emerging tool for monitoring the spread of infectious diseases, such as SARS-CoV-2, in community settings. Environmental factors, including water quality parameters and seasonal variations, may influence the prevalence of viral particles in wastewater. This study aims to explore the relationships between these factors and the incidence of SARS-CoV-2 across 28 monitoring sites, spanning different seasons and water strata.