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Xiao-Ming Yin

Researcher at Tulane University

Publications -  8
Citations -  601

Xiao-Ming Yin is an academic researcher from Tulane University. The author has contributed to research in topics: Viral load & Population. The author has an hindex of 4, co-authored 7 publications receiving 199 citations.

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Ultra-sensitive and high-throughput CRISPR-p owered COVID-19 diagnosis.

TL;DR: This assay utilizes a custom CRISPR Cas12a/gRNA complex and a fluorescent probe to amplify target amplicons produced by standard RT-PCR or isothermal recombinase polymerase amplification (RPA) to allow sensitive detection at sites not equipped with real-time PCR systems required for qPCR diagnostics.
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A smartphone-read ultrasensitive and quantitative saliva test for COVID-19.

TL;DR: An isolation-free smartphone-based saliva assay that can diagnose COVID-19 cases and quantify viral load within 15 min and exhibited a limit of detection below that of the RT-PCR reference assay is described.
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Ct Values Do Not Predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmissibility in College Students.

TL;DR: The results indicate that while at the population level the Ct value is lower, suggesting a higher viral load, in the symptomatic spreaders than that in the asymptomatic non-spreaders, there is significant overlap in the Ct values between the two groups, suggesting that a sensitive method is needed to identify asymPTomatic persons who may carry a low viral load but can still be infectious.