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Novel photonic methods for diagnosis of SARS-CoV-2 infection.
Joshi, Naveen; Shukla, Shubhangi; Narayan, Roger J.
Afiliação
  • Joshi N; Department of Materials Science and Engineering North Carolina State University Raleigh North Carolina USA.
  • Shukla S; Joint Department of Biomedical Engineering North Carolina State University Raleigh North Carolina USA.
  • Narayan RJ; Joint Department of Biomedical Engineering North Carolina State University Raleigh North Carolina USA.
Transl Biophotonics ; 4(1-2): e202200001, 2022.
Article em En | MEDLINE | ID: mdl-35602265
ABSTRACT
The COVID-19 pandemic that began in March 2020 continues in many countries. The ongoing pandemic makes early diagnosis a crucial part of efforts to prevent the spread of SARS-CoV-2 infections. As such, the development of a rapid, reliable, and low-cost technique with increased sensitivity for detection of SARS-CoV-2 is an important priority of the scientific community. At present, nucleic acid-based techniques are primarily used as the reference approach for the detection of SARS-CoV-2 infection. However, in several cases, false positive results have been observed with these techniques. Due to the drawbacks associated with existing techniques, the development of new techniques for the diagnosis of COVID-19 is an important research activity. We provide an overview of novel diagnostic methods for SARS-CoV-2 diagnosis that integrate photonic technology with artificial intelligence. Recent developments in emerging diagnostic techniques based on the principles of advanced molecular spectroscopy and microscopy are considered.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article