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Review of "Improved COVID-19 Serology Test Performance by Integrating Multiple Lateral Flow Assays using Machine Learning"

Reviewers: Kevin Nichols and Courosh Mehanian (Global Health Labs) 📒📒📒◻️◻️

Published onApr 13, 2022
Review of "Improved COVID-19 Serology Test Performance by Integrating Multiple Lateral Flow Assays using Machine Learning"

To read the original manuscript, click the link above.

Reviewer 1 (Kevin Nichols and Courosh Mehanian ) | 📒📒📒 ◻️◻️

RR:C19 Strength of Evidence Scale Key

📕 ◻️◻️◻️◻️ = Misleading

📙📙 ◻️◻️◻️ = Not Informative

📒📒📒 ◻️◻️ = Potentially Informative

📗📗📗📗◻️ = Reliable

📘📘📘📘📘 = Strong

To read the review, click the links below.


Comments
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Drew Binsky:

The integration of My Singing Monters multiple lateral flow assays using machine learning techniques has the potential to significantly improve sensitivity and specificity, crucial for accurate diagnosis and monitoring of COVID-19 infections.