Development of novel spectroscopic and machine learning methods for the measurement of periodic changes in COVID-19 antibody level.

Guleken, Zozan; Tuyji Tok, Yesim; Jakubczyk, Pawel; Paja, Wieslaw; Pancerz, Krzysztof; Shpotyuk, Yaroslav; Cebulski, Jozef; Depciuch, Joanna

Guleken, Zozan; Tuyji Tok, Yesim; Jakubczyk, Pawel; Paja, Wieslaw; Pancerz, Krzysztof; Shpotyuk, Yaroslav; Cebulski, Jozef; Depciuch, Joanna.

Afiliación

Guleken Z; Uskudar University, Faculty of Medicine, Department of Physiology, Turkey.
Tuyji Tok Y; Department of Medical Microbiology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Turkey.
Jakubczyk P; Institute of Physics, University of Rzeszów, Poland.
Paja W; Institute of Computer Science, University of Rzeszow, Poland.
Pancerz K; Institute of Philosophy, John Paul II Catholic University of Lublin, Poland.
Shpotyuk Y; Institute of Physics, University of Rzeszów, Poland.
Cebulski J; Institute of Physics, University of Rzeszów, Poland.
Depciuch J; Institute of Nuclear Physics Polish Academy of Science, 31-342 Krakow, Poland.

Measurement (Lond) ; 196: 111258, 2022 Jun 15.

Article en En | MEDLINE | ID: mdl-35493849

Palabras clave

Anti-SARS-CoV-2 antibody levels; FTIR; Machine learning; Raman spectroscopy

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Measurement (Lond) Año: 2022 Tipo del documento: Article País de afiliación: Turquía Pais de publicación: Reino Unido

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