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Artigo de periodico
Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study (2023)
Cunha, Mateus Trinconi ; Borges, Ana Paula de Souza ; Carvalho, Vinicius Jardim ; Fujita, André ; Castro Junior, Gilberto de Castro
Source: Cancer Medicine. Unidades: IME, FM, BIOINFORMÁTICA
Subjects: APRENDIZADO COMPUTACIONAL, NEOPLASIAS
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ABNT
CUNHA, Mateus Trinconi et al. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, v. 12, n. 4, p. 5099-5109, 2023Tradução . . Disponível em: https://doi.org/10.1002/cam4.5254. Acesso em: 05 jun. 2024.
APA
Cunha, M. T., Borges, A. P. de S., Carvalho, V. J., Fujita, A., & Castro Junior, G. de C. (2023). Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, 12( 4), 5099-5109. doi:10.1002/cam4.5254
NLM
Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1002/cam4.5254
Vancouver
Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1002/cam4.5254
Artigo de periodico
Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers (2021)
Fernandes, Pedro Augusto ; Kinker, Gabriela Sarti ; Navarro, Bruno Viana; Carvalho, Vinícius Jardim; Paz, Edson Duarte Ribeiro; Córdoba-Moreno, Marlina Olyissa ; Santos-Silva, Débora; Muxel, Sandra Márcia ; Fujita, André ; Moraes, Carolina Borsoi ; Nakaya, Helder Takashi Imoto ; Buckeridge, Marcos ; Markus, Regina P
Source: Melatonin Research. Unidades: IB, IME, FCF, BIOINFORMÁTICA
Subjects: MELATONINA, DOENÇAS INFECCIOSAS
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ABNT
FERNANDES, Pedro Augusto et al. Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers. Melatonin Research, v. 24, n. 1, p. 189-205, 2021Tradução . . Disponível em: https://doi.org/10.32794/mr11250090. Acesso em: 05 jun. 2024.
APA
Fernandes, P. A., Kinker, G. S., Navarro, B. V., Carvalho, V. J., Paz, E. D. R., Córdoba-Moreno, M. O., et al. (2021). Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers. Melatonin Research, 24( 1), 189-205. doi:10.32794/mr11250090
NLM
Fernandes PA, Kinker GS, Navarro BV, Carvalho VJ, Paz EDR, Córdoba-Moreno MO, Santos-Silva D, Muxel SM, Fujita A, Moraes CB, Nakaya HTI, Buckeridge M, Markus RP. Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers [Internet]. Melatonin Research. 2021 ; 24( 1): 189-205.[citado 2024 jun. 05 ] Available from: https://doi.org/10.32794/mr11250090
Vancouver
Fernandes PA, Kinker GS, Navarro BV, Carvalho VJ, Paz EDR, Córdoba-Moreno MO, Santos-Silva D, Muxel SM, Fujita A, Moraes CB, Nakaya HTI, Buckeridge M, Markus RP. Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers [Internet]. Melatonin Research. 2021 ; 24( 1): 189-205.[citado 2024 jun. 05 ] Available from: https://doi.org/10.32794/mr11250090
Trabalho de evento-anais periodico
OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1 (2021)
Cunha, M; Borges, A. P; Carvalho, Vinicius Jardim ; Fujita, André ; Castro, G. D
Source: Journal of Thoracic Oncology. Conference titles: World Conference on Lung Cancer Worldwide. Unidades: IME, BIOINFORMÁTICA
Subjects: INTELIGÊNCIA ARTIFICIAL, CUIDADOS PALIATIVOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUNHA, M et al. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1. Journal of Thoracic Oncology. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.jtho.2021.08.038. Acesso em: 05 jun. 2024. , 2021
APA
Cunha, M., Borges, A. P., Carvalho, V. J., Fujita, A., & Castro, G. D. (2021). OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1. Journal of Thoracic Oncology. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.jtho.2021.08.038
NLM
Cunha M, Borges AP, Carvalho VJ, Fujita A, Castro GD. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1 [Internet]. Journal of Thoracic Oncology. 2021 ; 16( 10): S850.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.jtho.2021.08.038
Vancouver
Cunha M, Borges AP, Carvalho VJ, Fujita A, Castro GD. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1 [Internet]. Journal of Thoracic Oncology. 2021 ; 16( 10): S850.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.jtho.2021.08.038
Trabalho de evento-resumo periodico
Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer (2020)
Castro Junior, Gilberto de ; Neves, Willan das ; Borges, Ana Paula de Souza ; Carvalho, Vinicius Jardim ; Brum, Patrícia Chakur ; Fujita, André
Source: Annals of Oncology. Conference titles: European Society for Medical Oncology Congress - ESMO. Unidades: IME, EEFE, FM, BIOINFORMÁTICA
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO JUNIOR, Gilberto de et al. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.annonc.2020.08.1460. Acesso em: 05 jun. 2024. , 2020
APA
Castro Junior, G. de, Neves, W. das, Borges, A. P. de S., Carvalho, V. J., Brum, P. C., & Fujita, A. (2020). Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.annonc.2020.08.1460
NLM
Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460
Vancouver
Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460

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