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Abdullah Tozluyurt

Researcher at Hacettepe University

Publications -  6
Citations -  87

Abdullah Tozluyurt is an academic researcher from Hacettepe University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 2, co-authored 2 publications receiving 16 citations.

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Journal ArticleDOI

CRISPR-based tools: Alternative methods for the diagnosis of COVID-19.

TL;DR: In this paper, the authors discuss the advantages and limitations of these methods, and discuss how they can contribute to improving the efficiency of the current testing systems for combating SARS-CoV-2.
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CRISPR-Cas13 System as a Promising and Versatile Tool for Cancer Diagnosis, Therapy, and Research.

TL;DR: In this article, the authors review and discuss the current use and potential applications of the CRISPR-Cas13 system in cancer diagnosis, therapy, and research, which have the potential to be used as next-generation cancer diagnostics and therapeutics.
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A retrospective observational cohort study of the clinical epidemiology of bloodstream infections due to carbapenem-resistant Klebsiella pneumoniae in an OXA-48 endemic setting.

TL;DR: In this paper , the epidemiology and clinical outcomes of patients with bloodstream infections (BSIs) due to carbapenem-resistant Klebsiella pneumoniae (CRKP) in an OXA-48-predominant environment were investigated.
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3D printed materials for combating antimicrobial resistance

TL;DR: In this article , the authors provide an overview of 3D printed materials and biosystems and their biomedical applications, focusing on ever increasing antimicrobial resistance (AMR) problems.
Posted ContentDOI

Clinical validation and the evaluation of a colorimetric SARS-CoV-2 RT-LAMP assay identify its robustness against RT-PCR

TL;DR: The improved RT-LAMP colorimetric assay is studied to detect SARS-COV-2 viral RNA within 30 minutes using a primer sets special to N gene and reveals its efficient, robust, and rapid assay to be used as in vitro diagnostic tool display competitiveness compared to RT-PCR.