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10.1371/journal.pone.0252121 http://scihub22266oqcxt.onion/10.1371/journal.pone.0252121 34077435!8172018!34077435     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2021 ; 16 (6): e0252121 Nephropedia Template TP {{tp|p=34077435|t=2021. Proof of concept for real-time detection of SARS CoV-2 infection with an electronic nose |pdf=|usr=}}{{34077435}} gab.com Text Proof of concept for real-time detection of SARS CoV-2 infection with an electronic nose JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=34077435 #FOAvip Rapid diagnosis is key to curtailing the Covid-19 pandemic. One path to such rapid diagnosis may rely on identifying volatile organic compounds (VOCs) emitted by the infected body, or in other words, identifying the smell of the infection. Consistent with this rationale, dogs can use their nose to identify Covid-19 patients. Given the scale of the pandemic, however, animal deployment is a challenging solution. In contrast, electronic noses (eNoses) are machines aimed at mimicking animal olfaction, and these can be deployed at scale. To test the hypothesis that SARS CoV-2 infection is associated with a body-odor detectable by an eNose, we placed a generic eNose in-line at a drive-through testing station. We applied a deep learning classifier to the eNose measurements, and achieved real-time detection of SARS CoV-2 infection at a level significantly better than chance, for both symptomatic and non-symptomatic participants. This proof of concept with a generic eNose implies that an optimized eNose may allow effective real-time diagnosis, which would provide for extensive relief in the Covid-19 pandemic. Twit Text FOAVip Proof of concept for real-time detection of SARS CoV-2 infection with an electronic nose ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=34077435 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34077435 #FOAvip English Wikipedia <ref>{{Cite pmid|34077435}}</ref> Proof of concept for real-time detection of SARS CoV-2 infection with an electronic nose #MMPMID34077435 Snitz K; Andelman-Gur M; Pinchover L; Weissgross R; Weissbrod A; Mishor E; Zoller R; Linetsky V; Medhanie A; Shushan S; Jaffe E; Sobel N PLoS One 2021[]; 16 (6): e0252121 PMID34077435show ga Rapid diagnosis is key to curtailing the Covid-19 pandemic. One path to such rapid diagnosis may rely on identifying volatile organic compounds (VOCs) emitted by the infected body, or in other words, identifying the smell of the infection. Consistent with this rationale, dogs can use their nose to identify Covid-19 patients. Given the scale of the pandemic, however, animal deployment is a challenging solution. In contrast, electronic noses (eNoses) are machines aimed at mimicking animal olfaction, and these can be deployed at scale. To test the hypothesis that SARS CoV-2 infection is associated with a body-odor detectable by an eNose, we placed a generic eNose in-line at a drive-through testing station. We applied a deep learning classifier to the eNose measurements, and achieved real-time detection of SARS CoV-2 infection at a level significantly better than chance, for both symptomatic and non-symptomatic participants. This proof of concept with a generic eNose implies that an optimized eNose may allow effective real-time diagnosis, which would provide for extensive relief in the Covid-19 pandemic. |Adult[MESH] |COVID-19/*diagnosis[MESH] |Deep Learning[MESH] |Electronic Nose/trends[MESH] |Female[MESH] |Humans[MESH] |Israel/epidemiology[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Proof of Concept Study[MESH] |SARS-CoV-2/*genetics/metabolism/pathogenicity[MESH]Proof of concept for real-time detection of SARS CoV-2 infection with (epmc).pdf DeepDyve Pubget Overpricing