Cena C - Search Results

1

Canine visceral leishmaniasis diagnosis by UV spectroscopy of blood serum and machine learning algorithms.

Coelho ML, França T, Fontoura Mateus NL, da Costa Lima Junior MS, Cena C, do Nascimento Ramos CA. Coelho ML, et al. Among authors: cena c. Photodiagnosis Photodyn Ther. 2023 Jun;42:103575. doi: 10.1016/j.pdpdt.2023.103575. Epub 2023 Apr 18. Photodiagnosis Photodyn Ther. 2023. PMID: 37080349

2

Soybean seed vigor discrimination by using infrared spectroscopy and machine learning algorithms.

Larios G, Nicolodelli G, Ribeiro M, Canassa T, Reis AR, Oliveira SL, Alves CZ, Marangoni BS, Cena C. Larios G, et al. Among authors: cena c. Anal Methods. 2020 Sep 17;12(35):4303-4309. doi: 10.1039/d0ay01238f. Anal Methods. 2020. PMID: 32857095

3

A new strategy for canine visceral leishmaniasis diagnosis based on FTIR spectroscopy and machine learning.

Larios G, Ribeiro M, Arruda C, Oliveira SL, Canassa T, Baker MJ, Marangoni B, Ramos C, Cena C. Larios G, et al. Among authors: cena c. J Biophotonics. 2021 Nov;14(11):e202100141. doi: 10.1002/jbio.202100141. Epub 2021 Aug 26. J Biophotonics. 2021. PMID: 34423902

4

Paracoccidioidomycosis screening diagnosis by FTIR spectroscopy and multivariate analysis.

de Brito ECA, Franca T, Canassa T, Weber SS, Paniago AMM, Cena C. de Brito ECA, et al. Among authors: cena c. Photodiagnosis Photodyn Ther. 2022 Sep;39:102921. doi: 10.1016/j.pdpdt.2022.102921. Epub 2022 May 19. Photodiagnosis Photodyn Ther. 2022. PMID: 35598713

5

Multi-resistant diarrheagenic Escherichia coli identified by FTIR and machine learning: a feasible strategy to improve the group classification.

Marangoni-Ghoreyshi YG, Franca T, Esteves J, Maranni A, Pereira Portes KD, Cena C, Leal CRB. Marangoni-Ghoreyshi YG, et al. Among authors: cena c. RSC Adv. 2023 Aug 21;13(36):24909-24917. doi: 10.1039/d3ra03518b. eCollection 2023 Aug 21. RSC Adv. 2023. PMID: 37608796 Free PMC article.

6

Turning chaotic sample group clusterization into organized ones by feature selection: Application on photodiagnosis of Brucella abortus serological test.

de Rezende BS, Franca T, de Paula MAB, Cleveland HPK, Cena C, do Nascimento Ramos CA. de Rezende BS, et al. Among authors: cena c. J Photochem Photobiol B. 2023 Oct;247:112781. doi: 10.1016/j.jphotobiol.2023.112781. Epub 2023 Aug 25. J Photochem Photobiol B. 2023. PMID: 37657188

7

Diagnosis of Cutaneous Leishmaniasis Using FTIR Spectroscopy and Machine Learning: An Animal Model Study.

Pacher G, Franca T, Lacerda M, Alves NO, Piranda EM, Arruda C, Cena C. Pacher G, et al. Among authors: cena c. ACS Infect Dis. 2024 Feb 9;10(2):467-474. doi: 10.1021/acsinfecdis.3c00430. Epub 2024 Jan 8. ACS Infect Dis. 2024. PMID: 38189234

8

Making wood inspection easier: FTIR spectroscopy and machine learning for Brazilian native commercial wood species identification.

Jesus E, Franca T, Calvani C, Lacerda M, Gonçalves D, Oliveira SL, Marangoni B, Cena C. Jesus E, et al. Among authors: cena c. RSC Adv. 2024 Mar 1;14(11):7283-7289. doi: 10.1039/d4ra00174e. eCollection 2024 Feb 29. RSC Adv. 2024. PMID: 38433943 Free PMC article.

9

Enhancing early identification of high-fertile cattle females using infrared blood serum spectra and machine learning.

Reis W, Franca T, Calvani C, Marangoni B, Costa E Silva E, Nobre A, Netto G, Macedo G, Cena C. Reis W, et al. Among authors: cena c. Sci Rep. 2024 Aug 21;14(1):19446. doi: 10.1038/s41598-024-70211-1. Sci Rep. 2024. PMID: 39169105 Free PMC article.

10

FTIR spectroscopy with machine learning: A new approach to animal DNA polymorphism screening.

Gomes Rios T, Larios G, Marangoni B, Oliveira SL, Cena C, Alberto do Nascimento Ramos C. Gomes Rios T, et al. Among authors: cena c. Spectrochim Acta A Mol Biomol Spectrosc. 2021 Nov 15;261:120036. doi: 10.1016/j.saa.2021.120036. Epub 2021 Jun 1. Spectrochim Acta A Mol Biomol Spectrosc. 2021. PMID: 34116415

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