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Pathology Informatics and Robotics Strategies for Improving Efficiency of COVID-19 Pooled Testing

机译:提高Covid-19汇集测试效率的病理信息和机器人策略

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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.
机译:2019年冠状病毒疾病的全球崛起2019年大流行导致对严重急性呼吸综合征冠状病毒2检测的指数增加需求,导致全球试剂短缺。 由于筛选员工,学生等人,诸如重新开放经济的计划的一部分,这种短缺已经进一步恶化。 为了优化测试试剂和人力资源的利用,普及普及率低的群体的泳池测试已成为一个有希望的策略。 虽然汇集是减少用于测试的试剂的数量的有效解决方案,但在整个工作流程中汇集样品的过程以及跟踪它们的过程是具有挑战性的。 为了有效,必须将样本跟踪到每个池中,池测试并单独报告。 在本文中,我们使用机器人和信息学解决这些挑战。

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