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Andrea J. Kraft

Researcher at Medical College of Wisconsin

Publications -  5
Citations -  199

Andrea J. Kraft is an academic researcher from Medical College of Wisconsin. The author has contributed to research in topics: Multiplex & Influenza A virus subtype H5N1. The author has an hindex of 5, co-authored 5 publications receiving 194 citations.

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Detection of 11 common viral and bacterial pathogens causing community-acquired pneumonia or sepsis in asymptomatic patients by using a multiplex reverse transcription-PCR assay with manual (enzyme hybridization) or automated (electronic microarray) detection.

TL;DR: The data suggest that asymptomatic carriage makes the use of molecular assays problematic for the detection of S. pneumoniae or S. aureus in upper respiratory tract secretions; however, the specimens tested showed virtually no carriage of the other nine viral and bacterial pathogens, and the Detection of these pathogens should not be a significant diagnostic problem.
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Simultaneous Detection of CDC Category "A" DNA and RNA Bioterrorism Agents by Use of Multiplex PCR & RT-PCR Enzyme Hybridization Assays

TL;DR: Compared to other available assays (culture, serology, PCR, etc.) both the BioT DNA mPCR-EHA and BioT RNA mRT-PCR -EHA are rapid, sensitive and specific assays for detecting many category “A” Bioterrorism agents using a standard thermocycler.
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Multiplex Assay for Simultaneously Typing and Subtyping Influenza Viruses by Use of an Electronic Microarray

TL;DR: The assay is a rapid, accurate, user-friendly method for simultaneously typing and subtyping influenza viruses and to distinguish influenza A virus subtypes H1N1 and H3N2 from the potentially pandemic avian virus subtype H5N1.
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Current methods for the rapid diagnosis of bioterrorism-related infectious agents

TL;DR: The terrorist attacks occurring around the world necessitate society's continued investment in adequate defense against these unpredictable and irrational events.
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The Influenza Primer Design Resource: a new tool for translating influenza sequence data into effective diagnostics.

TL;DR: This work has shown that while there are several databases that have been developed for manipulating the vast amount of influenza genetic data, significant progress can still be made in developing tools for translating the genetic data into effective diagnostics.