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Pathology Informatics and Robotics Strategies for Improving Efficiency of COVID-19 Pooled Testing
The global rise of the coronavirus disease 2019 pandemic resulted in an exponentially increasing demand for severe acute respiratory syndrome coronavirus 2 testing, which resulted in shortage of reagents worldwide. This shortage has been further worsened by screening of asymptomatic populations such...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209787/ https://www.ncbi.nlm.nih.gov/pubmed/34189259 http://dx.doi.org/10.1177/23742895211020485 |
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author | Balasubramani, Balaji Newsom, Kimberly J. Martinez, Katherine A. Starostik, Petr Clare-Salzler, Michael Chamala, Srikar |
author_facet | Balasubramani, Balaji Newsom, Kimberly J. Martinez, Katherine A. Starostik, Petr Clare-Salzler, Michael Chamala, Srikar |
author_sort | Balasubramani, Balaji |
collection | PubMed |
description | The global rise of the coronavirus disease 2019 pandemic resulted in an exponentially increasing demand for severe acute respiratory syndrome coronavirus 2 testing, which resulted in shortage of reagents worldwide. This shortage has been further worsened by screening of asymptomatic populations such as returning employees, students, and so on, as part of plans to reopen the economy. To optimize the utilization of testing reagents and human resources, pool testing of populations with low prevalence has emerged as a promising strategy. Although pooling is an effective solution to reduce the number of reagents used for testing, the process of pooling samples together and tracking them throughout the entire workflow is challenging. To be effective, samples must be tracked into each pool, pool-tested and reported individually. In this article, we address these challenges using robotics and informatics. |
format | Online Article Text |
id | pubmed-8209787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-82097872021-06-28 Pathology Informatics and Robotics Strategies for Improving Efficiency of COVID-19 Pooled Testing Balasubramani, Balaji Newsom, Kimberly J. Martinez, Katherine A. Starostik, Petr Clare-Salzler, Michael Chamala, Srikar Acad Pathol Special Collection: COVID-19 The global rise of the coronavirus disease 2019 pandemic resulted in an exponentially increasing demand for severe acute respiratory syndrome coronavirus 2 testing, which resulted in shortage of reagents worldwide. This shortage has been further worsened by screening of asymptomatic populations such as returning employees, students, and so on, as part of plans to reopen the economy. To optimize the utilization of testing reagents and human resources, pool testing of populations with low prevalence has emerged as a promising strategy. Although pooling is an effective solution to reduce the number of reagents used for testing, the process of pooling samples together and tracking them throughout the entire workflow is challenging. To be effective, samples must be tracked into each pool, pool-tested and reported individually. In this article, we address these challenges using robotics and informatics. SAGE Publications 2021-06-15 /pmc/articles/PMC8209787/ /pubmed/34189259 http://dx.doi.org/10.1177/23742895211020485 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Special Collection: COVID-19 Balasubramani, Balaji Newsom, Kimberly J. Martinez, Katherine A. Starostik, Petr Clare-Salzler, Michael Chamala, Srikar Pathology Informatics and Robotics Strategies for Improving Efficiency of COVID-19 Pooled Testing |
title | Pathology Informatics and Robotics Strategies for Improving Efficiency of COVID-19 Pooled Testing |
title_full | Pathology Informatics and Robotics Strategies for Improving Efficiency of COVID-19 Pooled Testing |
title_fullStr | Pathology Informatics and Robotics Strategies for Improving Efficiency of COVID-19 Pooled Testing |
title_full_unstemmed | Pathology Informatics and Robotics Strategies for Improving Efficiency of COVID-19 Pooled Testing |
title_short | Pathology Informatics and Robotics Strategies for Improving Efficiency of COVID-19 Pooled Testing |
title_sort | pathology informatics and robotics strategies for improving efficiency of covid-19 pooled testing |
topic | Special Collection: COVID-19 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209787/ https://www.ncbi.nlm.nih.gov/pubmed/34189259 http://dx.doi.org/10.1177/23742895211020485 |
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