Publications by authors named "F Bolt"

Article Synopsis
  • Carbapenemase-producing Enterobacterales (CPE), particularly those encoding imipenemase (IMP), were studied for their emergence in a London healthcare network from 2016-2019, showcasing major antibiotic resistance issues across various species.
  • The research combined network analysis of patient pathways with genomic studies, identifying 84 Enterobacterales isolates, mainly from Klebsiella, Enterobacter, and E. coli, with a high prevalence of a specific plasmid linked to resistance genes.
  • Findings revealed an unnoticed interspecies outbreak through plasmid sharing, emphasizing the need for enhanced investigation techniques like DNA sequencing to effectively track and manage pathogen transmission in hospital settings.
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The COVID-19 pandemic has highlighted the need for rapid and reliable diagnostics that are accessible in resource-limited settings. To address this pressing issue, we have developed a rapid, portable, and electricity-free method for extracting nucleic acids from respiratory swabs (i.e.

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The reminder of a previously-learned memory can render that memory vulnerable to disruption or change in expression. Such memory alterations have been viewed as supportive of the framework of memory reconsolidation. However, alternative interpretations and inconsistencies in the replication of fundamental findings have raised questions particularly in the domain of human declarative memory.

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Article Synopsis
  • Real-time digital polymerase chain reaction (qdPCR) paired with machine learning is advancing molecular diagnostics, especially for infectious diseases, by analyzing amplification curves for better target classification.
  • Researchers proposed a new framework that uses outlier detection algorithms to filter out nonspecific or inefficient reactions from qdPCR data, enhancing the accuracy of multiplex PCR methods.
  • The study demonstrated a significant improvement in classification performance, increasing sensitivity by 1.2% and reducing incorrect results from 53.5% of melting curves by filtering based on amplification curve characteristics.
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