Bladder rupture in late-pregnancy mares: four cases.

This case series reports four late pregnancy broodmares that were diagnosed with bladder rupture. The initial presentations were abdominal discomfort (n=3) and dystocia (n=1). All mares (n=4) were overdue or at their expected time of delivery.

Development and validation of a high-performance liquid chromatography method with fluorescence detection for the quantification of the resistance protein P-gp in cancer cells.

A method using high-performance liquid chromatography coupled with fluorescence detection (HPLC-FLD) was developed and validated to quantify the innovative tool LightSpot®-FL-1, a selective permeability-glycoprotein (P-gp)-targeted fluorescent conjugate used to measure P-gp expression in cell samples. Quantifying P-gp is a major challenge in oncology as its overexpression in many cancer cells results in Multidrug Resistance (MDR) associated with chemotherapy failure. To develop the method reported herein, both sample preparation and analysis parameters were investigated.

Importance of neural network complexity for the automatic segmentation of individual thigh muscles in MRI images from patients with neuromuscular diseases.

Objective: Segmentation of individual thigh muscles in MRI images is essential for monitoring neuromuscular diseases and quantifying relevant biomarkers such as fat fraction (FF). Deep learning approaches such as U-Net have demonstrated effectiveness in this field. However, the impact of reducing neural network complexity remains unexplored in the FF quantification in individual muscles.

Fostering Informed Consent and Shared Decision-Making in Maternity Nursing With the Advancement of Artificial Intelligence.

Artificial intelligence (AI), defined as algorithms built to reproduce human behavior, has various applications in health care such as risk prediction, medical image classification, text analysis, and complex disease diagnosis. Due to the increasing availability and volume of data, especially from electronic health records, AI technology is expanding into all fields of nursing and medicine. As the health care system moves toward automation and computationally driven clinical decision-making, nurses play a vital role in bridging the gap between the technological output, the patient, and the health care team.

Comparison of Graphites Intercalated with Fluorine as Slow Neutron Reflectors.

The use of neutron reflectors is an effective method for improving the quality of neutron sources and neutron delivery systems. In this work, we further develop the method based on the Bragg scattering of neutrons in crystals with large interplanar distances. We compare samples of differently prepared fluorine intercalated graphites by measuring the total cross section for the interaction of neutrons with the samples, depending on the neutron wavelength.