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Raman spectroscopy on blood serum samples of patients with end-stage liver disease

René Staritzbichler, Pascal Hunold, Irina Estrela‐Lopis, Peter W. Hildebrand, Berend Isermann, Thorsten Kaiser

2021PLoS ONE30 citationsDOIOpen Access PDF

Abstract

Raman spectroscopy has shown to be a promising method for the examination of biomedical samples. However, until now, its efficacy has not been established in clinical diagnostics. In this study, Raman spectroscopy's potential application in medical laboratories is evaluated for a large variety (38) of biomarkers. Given 234 serum samples from a cohort of patients with different stages of liver disease, we performed Raman spectroscopy at 780nm excitation wavelength. The Raman spectra were analyzed in combination with the results of routine diagnostics using specifically developed complex mathematical algorithms, including fluorescence filtering, frequency subset selection and several overfitting circumventing strategies, such as independent validation. With the results of this cohort, which were validated in 328 independent samples, a significant proof-of-concept study was completed. This study highlights the need to prevent overfitting and to use independent data for validation. The results reveal that Raman spectroscopy has high potential for use in medical laboratory diagnostics to simultaneously quantify multiple biomarkers.

Topics & Concepts

Raman spectroscopyOverfittingSpectroscopyExcitation wavelengthMedicineComputer scienceArtificial intelligenceFluorescenceOpticsPhysicsArtificial neural networkQuantum mechanicsSpectroscopy Techniques in Biomedical and Chemical ResearchSpectroscopy and Chemometric AnalysesLiver Disease Diagnosis and Treatment
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