INTERSPECIES COMPETITIVE INTERACTIONS OF CLINICAL ISOLATES OF ACINETOBACTER BAUMANNII WITH KLEBSIELLA PNEUMONIAE, STAPHYLOCOCCUS AUREUS, AND PSEUDOMONAS AERUGINOSA

Interspecies Competitive Interactions of Clinical Isolates of Acinetobacter baumannii With Klebsiella pneumoniae, Staphylococcus aureus, and Pseudomonas aeruginosa

Many microbial infections are caused by multiple species.However, little is known about the detailed interactions and mechanisms underlying competition between coexisting pathogens.Acinetobacter baumannii is a major nosocomial pathogen that is often involved in mixed infections.To date, few studies have focused on the interactions between A.baumann

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Electroencephalographic characteristics of transcutaneous auricular vagus nerve stimulation for prolonged disorders of consciousness: a study protocol

BackgroundIncreasing evidence indicates that transcutaneous auricular vagus nerve Siemens IQ-500 MB557G5S0B Built In Double Oven - Stainless Steel stimulation (taVNS) can promote the recovery of consciousness levels in patients with prolonged disorders of consciousness (pDOC).However, previous clinical studies have shown inconsistent clinical effic

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Annotation-efficient deep learning for breast cancer whole-slide image classification using tumour infiltrating lymphocytes and slide-level labels

Abstract Tumour-Infiltrating Lymphocytes (TILs) are pivotal in the immune response against cancer cells.Existing deep learning methods for TIL analysis in whole-slide images (WSIs) demand extensive patch-level annotations, often requiring labour-intensive specialist input.To address this, iPod Wire we propose a framework named annotation-efficient

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