Publications by authors named "P Fey"

The role of initial specimen diversion devices (ISDDs) in preventing contamination of central venous catheter (CVC) blood cultures is undefined. A model to simulate CVC colonization and contamination compared standard cultures with ISDD technique. ISDD detected 100% of colonized CVCs while decreasing false-positive cultures from 36% to 16%.

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Staphylococcus aureus is a highly significant pathogen with several well studied and defined virulence factors. However, the metabolic pathways that are required to facilitate infection are not well described. Previous data have documented that S.

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Article Synopsis
  • Ontologies are key for managing consensus knowledge in areas like biomedical, environmental, and food sciences, but creating and maintaining them requires significant resources and collaboration among experts.
  • The Dynamic Retrieval Augmented Generation of Ontologies using AI (DRAGON-AI) leverages Large Language Models and Retrieval Augmented Generation to automate the generation of ontology components, showing high precision in relationship creation and ability to produce acceptable definitions.
  • While DRAGON-AI can significantly support ontology development, expert curators remain essential for overseeing the quality and accuracy of the generated content.
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The negative predictive value of on BCID2 for ceftriaxone resistance in and group was 97% and 94%, respectively. Creation of a genotypic antibiogram led to updated local guidance for clinicians to utilize for empiric treatment of Enterobacterales bloodstream infections identified via rapid diagnostics.

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Article Synopsis
  • Phenotypic data helps us understand how genomic variations affect living organisms and is vital for clinical applications like diagnosing diseases and developing treatments.
  • The field of phenomics aims to unify and analyze the vast amounts of phenotypic data collected over time, but faces challenges due to inconsistent methods and vocabularies used to record this information.
  • The Unified Phenotype Ontology (uPheno) framework offers a solution by providing a standardized system for organizing phenotype terms, allowing for better integration of data across different species and improving research on genotype-phenotype associations.
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