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10.1038/s41467-021-24001-2 http://scihub22266oqcxt.onion/10.1038/s41467-021-24001-2 34140500!8211865!34140500     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34140500&cmd=llinks): Failed to open stream: HTTP request failed! 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Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection |pdf=|usr=}}{{34140500}} gab.com Text Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=34140500 #FOAvip High-throughput, high-accuracy detection of emerging viruses allows for the control of disease outbreaks. Currently, reverse transcription-polymerase chain reaction (RT-PCR) is currently the most-widely used technology to diagnose the presence of SARS-CoV-2. However, RT-PCR requires the extraction of viral RNA from clinical specimens to obtain high sensitivity. Here, we report a method for detecting novel coronaviruses with high sensitivity by using nanopores together with artificial intelligence, a relatively simple procedure that does not require RNA extraction. Our final platform, which we call the artificially intelligent nanopore, consists of machine learning software on a server, a portable high-speed and high-precision current measuring instrument, and scalable, cost-effective semiconducting nanopore modules. We show that artificially intelligent nanopores are successful in accurately identifying four types of coronaviruses similar in size, HCoV-229E, SARS-CoV, MERS-CoV, and SARS-CoV-2. Detection of SARS-CoV-2 in saliva specimen is achieved with a sensitivity of 90% and specificity of 96% with a 5-minute measurement. Twit Text FOAVip Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=34140500 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34140500 #FOAvip English Wikipedia <ref>{{Cite pmid|34140500}}</ref> Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection #MMPMID34140500 Taniguchi M; Minami S; Ono C; Hamajima R; Morimura A; Hamaguchi S; Akeda Y; Kanai Y; Kobayashi T; Kamitani W; Terada Y; Suzuki K; Hatori N; Yamagishi Y; Washizu N; Takei H; Sakamoto O; Naono N; Tatematsu K; Washio T; Matsuura Y; Tomono K Nat Commun 2021[Jun]; 12 (1): 3726 PMID34140500show ga High-throughput, high-accuracy detection of emerging viruses allows for the control of disease outbreaks. Currently, reverse transcription-polymerase chain reaction (RT-PCR) is currently the most-widely used technology to diagnose the presence of SARS-CoV-2. However, RT-PCR requires the extraction of viral RNA from clinical specimens to obtain high sensitivity. Here, we report a method for detecting novel coronaviruses with high sensitivity by using nanopores together with artificial intelligence, a relatively simple procedure that does not require RNA extraction. Our final platform, which we call the artificially intelligent nanopore, consists of machine learning software on a server, a portable high-speed and high-precision current measuring instrument, and scalable, cost-effective semiconducting nanopore modules. We show that artificially intelligent nanopores are successful in accurately identifying four types of coronaviruses similar in size, HCoV-229E, SARS-CoV, MERS-CoV, and SARS-CoV-2. Detection of SARS-CoV-2 in saliva specimen is achieved with a sensitivity of 90% and specificity of 96% with a 5-minute measurement. |*Artificial Intelligence[MESH] |*Machine Learning[MESH] |*Nanopores[MESH] |COVID-19 Nucleic Acid Testing/instrumentation/*methods[MESH] |Coronavirus 229E, Human/genetics[MESH] |Equipment Design/economics[MESH] |Humans[MESH] |Limit of Detection[MESH] |Middle East Respiratory Syndrome Coronavirus/genetics[MESH] |Nanoparticles/chemistry[MESH] |Polymerase Chain Reaction[MESH] |SARS-CoV-2/genetics[MESH] |Saliva/virology[MESH] |Sensitivity and Specificity[MESH]Combining machine learning and nanopore construction creates an artifi(epmc).pdf DeepDyve Pubget Overpricing