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Dynamical Pool-Size Optimization for the SARS-CoV-2 PCR Test

Smirnov, J.; Fenner, T.

2021-01-15 health informatics
10.1101/2021.01.12.21249581 medRxiv
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In this work, we put forward a novel test strategy, that allows to significantly increase the test capacity for SARS-CoV-2. The test strategy is based on an a priory risk assessment scheme, that allows to dynamically find and adapt an optimal clustering size of test pools. We, furthermore, suggest a method to overcome the efficiency loss of test clustering by avoiding concentration losses in the test samples. We validated our method with several thousand probe pools performing RT-PCR tests, and found it highly effective.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.