Ibáñez-Redín, Glenda Gisela 
; Braz, Daniel César ; Gonçalves, Débora ; Oliveira Junior, Osvaldo Novais de
Source: Journal of the Brazilian Chemical Society. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, BIOMARCADORES, NEOPLASIAS, SENSORES BIOMÉDICOS
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IBÁÑEZ-REDÍN, Glenda Gisela et al. Machine learning to treat data for the design and improvement of electrochemical sensors: application for a cancer biomarker. Journal of the Brazilian Chemical Society, v. 36, n. 8, p. e-20250043-1-e-20250043-9, 2025Tradução . . Disponível em: https://doi.org/10.21577/0103-5053.20250043. Acesso em: 13 fev. 2026.APA
Ibáñez-Redín, G. G., Braz, D. C., Gonçalves, D., & Oliveira Junior, O. N. de. (2025). Machine learning to treat data for the design and improvement of electrochemical sensors: application for a cancer biomarker. Journal of the Brazilian Chemical Society, 36( 8), e-20250043-1-e-20250043-9. doi:10.21577/0103-5053.20250043NLM
Ibáñez-Redín GG, Braz DC, Gonçalves D, Oliveira Junior ON de. Machine learning to treat data for the design and improvement of electrochemical sensors: application for a cancer biomarker [Internet]. Journal of the Brazilian Chemical Society. 2025 ; 36( 8): e-20250043-1-e-20250043-9.[citado 2026 fev. 13 ] Available from: https://doi.org/10.21577/0103-5053.20250043Vancouver
Ibáñez-Redín GG, Braz DC, Gonçalves D, Oliveira Junior ON de. Machine learning to treat data for the design and improvement of electrochemical sensors: application for a cancer biomarker [Internet]. Journal of the Brazilian Chemical Society. 2025 ; 36( 8): e-20250043-1-e-20250043-9.[citado 2026 fev. 13 ] Available from: https://doi.org/10.21577/0103-5053.20250043
