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Enhancing public health outcomes with AI-powered clinical surveillance: Precise detection of COVID-19 variants using qPCR and nanopore sequencing.

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Title: Enhancing public health outcomes with AI-powered clinical surveillance: Precise detection of COVID-19 variants using qPCR and nanopore sequencing.
Authors: Chung HY; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan; Graduate Institute of Medical Science, National Defense Medical Center, Taipei, Taiwan. Electronic address: cindyft12@gmail.com., Jian MJ; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: mj0106@gmail.com., Chang CK; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: mblkaiser@gmail.com., Perng CL; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: ponchenli@gmail.com., Hung KS; Center for Precision Medicine and Genomics, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: kuosheng0628@hotmail.com.tw., Chiu CH; Division of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: pipi10279@gmail.com., Shang HS; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: iamkeith001@gmail.com.
Source: Journal of infection and public health [J Infect Public Health] 2025 Mar; Vol. 18 (3), pp. 102663. Date of Electronic Publication: 2025 Jan 10.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 101487384 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-035X (Electronic) Linking ISSN: 18760341 NLM ISO Abbreviation: J Infect Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Chung+HY%22">Chung HY</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan; Graduate Institute of Medical Science, National Defense Medical Center, Taipei, Taiwan. Electronic address: cindyft12@gmail.com.<br /><searchLink fieldCode="AU" term="%22Jian+MJ%22">Jian MJ</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: mj0106@gmail.com.<br /><searchLink fieldCode="AU" term="%22Chang+CK%22">Chang CK</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: mblkaiser@gmail.com.<br /><searchLink fieldCode="AU" term="%22Perng+CL%22">Perng CL</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: ponchenli@gmail.com.<br /><searchLink fieldCode="AU" term="%22Hung+KS%22">Hung KS</searchLink>; Center for Precision Medicine and Genomics, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: kuosheng0628@hotmail.com.tw.<br /><searchLink fieldCode="AU" term="%22Chiu+CH%22">Chiu CH</searchLink>; Division of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: pipi10279@gmail.com.<br /><searchLink fieldCode="AU" term="%22Shang+HS%22">Shang HS</searchLink>; Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: iamkeith001@gmail.com.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101487384 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1876-035X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218760341%22">18760341 </searchLink><i>NLM ISO Abbreviation: </i>J Infect Public Health <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.jiph.2025.102663
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      – TitleFull: Enhancing public health outcomes with AI-powered clinical surveillance: Precise detection of COVID-19 variants using qPCR and nanopore sequencing.
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              Text: 2025 Mar
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              Y: 2025
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