Nicoliche, Caroline, Y. N 
; Oliveira, Ricardo A. G. de; Silva, Giulia S da; Ferreira, Larissa F.; Rodrigues, Ian L.; Faria, Ronaldo Censi ; Fazzio, Adalberto ; Carrilho, Emanuel ; Pontes, Leticia Gomes de ; Schleder, Gabriel Ravanhani ; Lima, Renato Sousa
Source: ACS Sensors. Unidades: IQSC, IF
Subjects: SENSORES BIOMÉDICOS, BIOMARCADORES, DIAGNÓSTICO, NEOPLASIAS
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NICOLICHE, Caroline et al. Converging Multidimensional Sensor and Machine Learning Toward High-Throughput and Biorecognition Element-Free Multidetermination of Extracellular Vesicle Biomarkers. ACS Sensors, v. 5, n. 7, p. 1864–1871, 2020Tradução . . Disponível em: https://doi.org/10.1021/acssensors.0c00599. Acesso em: 13 nov. 2024.APA
Nicoliche, C., Oliveira, R. A. G. de, Silva, G. S. da, Ferreira, L. F., Rodrigues, I. L., Faria, R. C., et al. (2020). Converging Multidimensional Sensor and Machine Learning Toward High-Throughput and Biorecognition Element-Free Multidetermination of Extracellular Vesicle Biomarkers. ACS Sensors, 5( 7), 1864–1871. doi:10.1021/acssensors.0c00599NLM
Nicoliche C, Oliveira RAG de, Silva GS da, Ferreira LF, Rodrigues IL, Faria RC, Fazzio A, Carrilho E, Pontes LG de, Schleder GR, Lima RS. Converging Multidimensional Sensor and Machine Learning Toward High-Throughput and Biorecognition Element-Free Multidetermination of Extracellular Vesicle Biomarkers [Internet]. ACS Sensors. 2020 ; 5( 7): 1864–1871.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1021/acssensors.0c00599Vancouver
Nicoliche C, Oliveira RAG de, Silva GS da, Ferreira LF, Rodrigues IL, Faria RC, Fazzio A, Carrilho E, Pontes LG de, Schleder GR, Lima RS. Converging Multidimensional Sensor and Machine Learning Toward High-Throughput and Biorecognition Element-Free Multidetermination of Extracellular Vesicle Biomarkers [Internet]. ACS Sensors. 2020 ; 5( 7): 1864–1871.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1021/acssensors.0c00599
