Born into homelessness: A retrospective observational study.

Objective: To evaluate the differences in the antenatal and neonatal courses of maternal-infant dyads within a homeless population as compared to the general hospital population.

Design: This was a retrospective observational study.

Setting: A large single tertiary maternity hospital (8500 deliveries/year) in Ireland.

Metal Pneumonitis from "Non-toxic" Decorative Cake Dust Aspiration: A Case Report.

Introduction: Metallic luster dusts are decorative agents for cakes and other confections. While some powders are labeled "non-edible," they are also marketed as "non-toxic." We present a case of a child who developed acute metal pneumonitis after accidental aspiration of metallic luster dust.

Tuning Star Polymer Architecture to Tailor Secondary Structures and Mechanical Properties of Diblock Polypeptide Hydrogels for Direct Ink Writing.

Hydrogel three-dimensional (3D) printing has emerged as a highly valuable fabrication tool for applications ranging from electronics and biomedicine. While conventional hydrogels such as gelatin, alginate, and hyaluronic acid satisfy biocompatibility requirements, they distinctly lack reproducibility in terms of mechanical properties and 3D printability. Aiming to offer a high-performance alternative, here we present a range of amphiphilic star-shaped diblock copolypeptides of l-glutamate and l-leucine residues with different topologies.

Bundled de-implementation of recurring hospital orders with a novel electronic medical record order set.

Introduction: High-frequency recurring orders placed through the electronic medical record (EMR) may contribute to unnecessary care in hospitalised patients. This quality initiative sought to develop and pilot test a hospital order set for bundled review and de-implementation of common recurring orders.

Methods: A voluntary-use EMR order set was developed to display low-frequency order alternatives for common hospital care components.

Early detection of heart failure using in-patient longitudinal electronic health records.

Heart Failure (HF) is common, with worldwide prevalence of 1%-3% and a lifetime risk of 20% for individuals 40 years or older. Despite its considerable health economic burden, techniques for early detection of HF in the general population are sparse. In this work we tested the hypothesis that a simple Transformer neural network, trained on comprehensive collection of secondary care data across the general population, can be used to prospectively (three-year predictive window) identify patients at an increased risk of first hospitalisation due to HF (HHF).