Spectrochemical and explainable artificial intelligence approaches for molecular level identification of the status of critically ill patients with COVID-19-Reference-Cited by-同舟云学术

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Spectrochemical and explainable artificial intelligence approaches for molecular level identification of the status of critically ill patients with COVID-19

Published:2024-11 Issue: Volume:279 Page:126652
ISSN:0039-9140
Container-title:Talanta
language:en
Short-container-title:Talanta

Author:

Tokgoz Gorkem^ORCID,Kirboga K. Kubra,Ozel Faik,Yucepur Serkan,Ardahanli Isa^ORCID,Gurbanov Rafig^ORCID

Publisher

Elsevier BV

Reference65 articles.

1. The neutralization effect of montelukast on SARS-CoV-2 is shown by multiscale in silico simulations and combined in vitro studies;Durdagi;Mol. Ther.,2022

2. Advances in fourier transform infrared (FTIR) spectroscopy of biological tissues;Talari;Appl. Spectrosc. Rev.,2016

3. Fourier transform infrared (FTIR) spectroscopy of biological tissues;Movasaghi;Appl. Spectrosc. Rev.,2008

4. Potential of ATR-FTIR-chemometrics in Covid-19: disease recognition;Calvo-Gomez;ACS Omega,2022

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