90-day Return to the Emergency Department Following Shoulder Arthroscopy: Prevalence, Risk Factors, and Reasons.

Objectives: Return to the Emergency Department (ED) within 90-days following arthroscopic shoulder surgery represents a potential source of increased healthcare expenditures. Understanding the risk factors could bring about interventions aimed at reducing its prevalence.

Methods: A retrospective review of all shoulder arthroscopies undertaken at a single academic institution from February 2016 through November 2023 was performed.

A novel mutation, T96I, is associated with sperm head and annulus defects.

Infertility affects around 8%-12% of reproductive-aged couples and is a major health concern. Both genetic and environmental factors influence male infertility. is a crucial testis-specific gene essential for the final differentiation of male germ cells and is strongly linked to male infertility due to numerous detected mutations.

Development of a drug allergy alert tiering algorithm for penicillins and cephalosporins.

Introduction: Limited research is available regarding recommendations about which drug allergy alerts (DAAs) in clinical decision support (CDS) systems should interrupt provider workflow. The objective was to evaluate the frequency of penicillin and cephalosporin DAA overrides at two institutions. A secondary objective was to redesign DAAs using a new tiered alerting system based on patient factors.

Artificial intelligence and machine learning in cell-free-DNA-based diagnostics.

The discovery of circulating fetal and tumor cell-free DNA (cfDNA) molecules in plasma has opened up tremendous opportunities in noninvasive diagnostics such as the detection of fetal chromosomal aneuploidies and cancers and in posttransplantation monitoring. The advent of high-throughput sequencing technologies makes it possible to scrutinize the characteristics of cfDNA molecules, opening up the fields of cfDNA genetics, epigenetics, transcriptomics, and fragmentomics, providing a plethora of biomarkers. Machine learning (ML) and/or artificial intelligence (AI) technologies that are known for their ability to integrate high-dimensional features have recently been applied to the field of liquid biopsy.

Advanced Quantitative Phase Microscopy Achieved with Spatial Multiplexing and a Metasurface.

Quantitative optical phase information provides an alternative method to observe biomedical properties, where conventional phase imaging fails. Phase retrieval typically requires multiple intensity measurements and iterative computations to ensure uniqueness and robustness against detection noise. To increase the measurement speed, we propose a single-shot quantitative phase imaging method with metasurface optics that can be conveniently integrated into conventional imaging systems with minimal modification.