Objective: The goal of this work was to develop robust techniques for the processing and identification of SUA using artificial intelligence (AI) image classification models.
Methods: Ultrasound images obtained retrospectively were analyzed for blinding, text removal, AI training, and image prediction. After developing and testing text removal methods, a small n-size study (40 images) using fastai/PyTorch to classify umbilical cord images.
Changes in circulating cytokines might serve as predictors of compound-evoked inflammatory responses. CD-1 mice were treated with lipopolysaccharide (LPS; 0.2 ml of 0.
View Article and Find Full Text PDFAntibody microarrays are a high-throughput proteomic technology used to examine the expression of multiple proteins in complex solutions. Antibody microarrays can be manufactured on a variety of commercially available activated glass or coated slides. The goal of this study was to compare Hydrogeltrade mark, nitrocellulose, aldehyde-silane and epoxy-silane slides to determine the amount of antibody bound.
View Article and Find Full Text PDFAntibody microarrays are a high throughput technology used to concurrently screen for protein expression. Most antibody arrays currently used are based on the ELISA sandwich approach that uses two antibodies to screen for the expression of a limited number of proteins. Also because antigen-antibody interactions are concentration-dependent, antibody microarrays need to normalize the amount of antibody that is used.
View Article and Find Full Text PDFThe current studies demonstrate protective and harmful effects of neutrophils (PMN) during experimental sepsis after cecal ligation and puncture (CLP). It is known that CLP induces signaling defects in blood PMN. When PMN were depleted 12 h after CLP, there were dramatic reductions in levels of bacteremia, evidence for reduced liver and renal dysfunction, sharp reductions in serum levels of cytokines (IL-1beta, IL-6, IL-10, TNF-alpha, and IL-2), and improved survival.
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