Publications by authors named "Nathamy F Dos Santos"

Article Synopsis
  • Recent advancements in computer vision technologies have potential applications in clinical microbiology to automate tasks and improve diagnostic speed and reliability.
  • Deep learning models can assist technicians by streamlining the screening process for urine tests, reducing time spent on no-growth classifications.
  • A dataset of 1500 images of urine test Petri dishes was created under controlled conditions, with expert microbiologists classifying results as positive, negative, or uncertain, aiding the development of deep learning algorithms for microbial growth classification.
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Kidney transplant recipients are at risk for infections due to carbapenem-resistant Enterobacteriaceae (CRE). Polymyxin-resistant CRE (PR-CRE) infections are especially difficult to treat. The aim of this study was to characterize PR-CRE infections among kidney transplant recipients and identify risk factors for treatment failure.

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