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Quantification of glycated hemoglobin and glucose in vivo using Raman spectroscopy and artificial neural networks.
Lasers Med Sci. 2022 Dec;37(9):3537-3549. doi: 10.1007/s10103-022-03633-w. Epub 2022 Sep 5.
Lasers Med Sci. 2022.
PMID: 36063232
Free PMC article.
Characterization of glycated hemoglobin based on Raman spectroscopy and artificial neural networks.
González-Viveros N, Castro-Ramos J, Gómez-Gil P, Cerecedo-Núñez HH.
González-Viveros N, et al. Among authors: cerecedo nunez hh.
Spectrochim Acta A Mol Biomol Spectrosc. 2021 Feb 15;247:119077. doi: 10.1016/j.saa.2020.119077. Epub 2020 Oct 21.
Spectrochim Acta A Mol Biomol Spectrosc. 2021.
PMID: 33137627
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On the estimation of sugars concentrations using Raman spectroscopy and artificial neural networks.
González-Viveros N, Gómez-Gil P, Castro-Ramos J, Cerecedo-Núñez HH.
González-Viveros N, et al. Among authors: cerecedo nunez hh.
Food Chem. 2021 Aug 1;352:129375. doi: 10.1016/j.foodchem.2021.129375. Epub 2021 Feb 24.
Food Chem. 2021.
PMID: 33706138
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Transforming the canonical piecewise-linear model into a smooth-piecewise representation.
Jimenez-Fernandez VM, Jimenez-Fernandez M, Vazquez-Leal H, Muñoz-Aguirre E, Cerecedo-Nuñez HH, Filobello-Niño UA, Castro-Gonzalez FJ.
Jimenez-Fernandez VM, et al. Among authors: cerecedo nunez hh.
Springerplus. 2016 Sep 20;5(1):1612. doi: 10.1186/s40064-016-3278-y. eCollection 2016.
Springerplus. 2016.
PMID: 27652185
Free PMC article.
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