R
Ryhana Manji
Researcher at North Shore-LIJ Health System
Publications - 25
Citations - 1431
Ryhana Manji is an academic researcher from North Shore-LIJ Health System. The author has contributed to research in topics: Virus & Coronavirus. The author has an hindex of 15, co-authored 23 publications receiving 1268 citations.
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Journal ArticleDOI
Evaluation of multiple test methods for the detection of the novel 2009 influenza A (H1N1) during the New York City outbreak.
Christine C. Ginocchio,Frank Zhang,Ryhana Manji,Suman Arora,Mark Bornfreund,Leon Falk,Madhavi Lotlikar,Margaret Kowerska,George Becker,Diamanto D. Korologos,Marcella De Geronimo,James M. Crawford +11 more
TL;DR: The RVP test provided the best diagnostic option as RVP demonstrated superior sensitivity for the detection of all influenza strains, including the novel H1N1, provided accurate influenza A subtyping and identified a significant number of additional respiratory pathogens.
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Clinical Evaluation of Three Sample-to-Answer Platforms for Detection of SARS-CoV-2.
TL;DR: This objective was to evaluate three sample-to-answer molecular diagnostic platforms to determine analytical sensitivity, clinical performance, and workflow for the detection of SARS-CoV-2 in nasopharyngeal swabs from 108 symptomatic patients.
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Comparison of Four Molecular In Vitro Diagnostic Assays for the Detection of SARS-CoV-2 in Nasopharyngeal Specimens.
TL;DR: In the present study, the analytical sensitivity and clinical performance of the following four SARS-CoV-2 molecular diagnostic assays granted emergency use authorization by the FDA using nasopharyngeal swabs from symptomatic patients are evaluated.
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Multicenter evaluation of the vitek MS matrix-assisted laser desorption ionization-time of flight mass spectrometry system for identification of gram-positive aerobic bacteria
Jenna Rychert,Carey-Ann D. Burnham,Maureen Bythrow,Omai B. Garner,Christine C. Ginocchio,Rebecca Jennemann,Michael A. Lewinski,Ryhana Manji,A. Brian Mochon,Gary W. Procop,Sandra S. Richter,Linda Sercia,Lars F. Westblade,Mary Jane Ferraro,John A. Branda +14 more
TL;DR: The findings demonstrate that the Vitek MS system is highly accurate for the identification of Gram-positive aerobic bacteria in the clinical laboratory setting.
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Multi‐centre evaluation of mass spectrometric identification of anaerobic bacteria using the VITEK® MS system
Omai B. Garner,A. B. Mochon,John A. Branda,Carey-Ann D. Burnham,Maureen Bythrow,Mary Jane Ferraro,Christine C. Ginocchio,Rebecca Jennemann,Ryhana Manji,Gary W. Procop,Sandra S. Richter,Jenna Rychert,Linda Sercia,Lars F. Westblade,Michael A. Lewinski +14 more
TL;DR: VITEK(®) MS identification of clinically relevant anaerobes is highly accurate and represents a dramatic improvement over other phenotypic methods in accuracy and turnaround time.