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Artigo de periodico
Photodynamic treatment of malignant melanoma with structured light: in silico Monte Carlo modeling (2024)
Doronin, Alexander ; Yakovlev, Vladislav ; Bagnato, Vanderlei Salvador
Source: Biomedical Optics Express. Unidade: IFSC
Subjects: TERAPIA FOTODINÂMICA, NEOPLASIAS, MELANOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DORONIN, Alexander e YAKOVLEV, Vladislav e BAGNATO, Vanderlei Salvador. Photodynamic treatment of malignant melanoma with structured light: in silico Monte Carlo modeling. Biomedical Optics Express, v. 15, n. 3, p. 1682-1693, 2024Tradução . . Disponível em: https://doi.org/10.1364/BOE.515962. Acesso em: 31 jul. 2024.
APA
Doronin, A., Yakovlev, V., & Bagnato, V. S. (2024). Photodynamic treatment of malignant melanoma with structured light: in silico Monte Carlo modeling. Biomedical Optics Express, 15( 3), 1682-1693. doi:10.1364/BOE.515962
NLM
Doronin A, Yakovlev V, Bagnato VS. Photodynamic treatment of malignant melanoma with structured light: in silico Monte Carlo modeling [Internet]. Biomedical Optics Express. 2024 ; 15( 3): 1682-1693.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1364/BOE.515962
Vancouver
Doronin A, Yakovlev V, Bagnato VS. Photodynamic treatment of malignant melanoma with structured light: in silico Monte Carlo modeling [Internet]. Biomedical Optics Express. 2024 ; 15( 3): 1682-1693.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1364/BOE.515962
Artigo de periodico
Femtosecond pulsed laser photodynamic therapy activates melanin and eradicates malignant melanoma (2024)
Pires, Layla ; Khattak, Shireen; Pratavieira, Sebastião ; Calcada, Carla; Romano, Renan Arnon ; Yucel, Yeni; Bagnato, Vanderlei Salvador ; Kurachi, Cristina ; Wilson, Brian C.
Source: Proceedings of the National Academy of Sciences of the United States of America - PNAS. Unidade: IFSC
Subjects: TERAPIA FOTODINÂMICA, LASER, MELANOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PIRES, Layla et al. Femtosecond pulsed laser photodynamic therapy activates melanin and eradicates malignant melanoma. Proceedings of the National Academy of Sciences of the United States of America - PNAS, v. 121, n. 14, p. e2316303121-1-e2316303121-9 + supporting information, 2024Tradução . . Disponível em: https://doi.org/10.1073/pnas.2316303121. Acesso em: 31 jul. 2024.
APA
Pires, L., Khattak, S., Pratavieira, S., Calcada, C., Romano, R. A., Yucel, Y., et al. (2024). Femtosecond pulsed laser photodynamic therapy activates melanin and eradicates malignant melanoma. Proceedings of the National Academy of Sciences of the United States of America - PNAS, 121( 14), e2316303121-1-e2316303121-9 + supporting information. doi:10.1073/pnas.2316303121
NLM
Pires L, Khattak S, Pratavieira S, Calcada C, Romano RA, Yucel Y, Bagnato VS, Kurachi C, Wilson BC. Femtosecond pulsed laser photodynamic therapy activates melanin and eradicates malignant melanoma [Internet]. Proceedings of the National Academy of Sciences of the United States of America - PNAS. 2024 ; 121( 14): e2316303121-1-e2316303121-9 + supporting information.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1073/pnas.2316303121
Vancouver
Pires L, Khattak S, Pratavieira S, Calcada C, Romano RA, Yucel Y, Bagnato VS, Kurachi C, Wilson BC. Femtosecond pulsed laser photodynamic therapy activates melanin and eradicates malignant melanoma [Internet]. Proceedings of the National Academy of Sciences of the United States of America - PNAS. 2024 ; 121( 14): e2316303121-1-e2316303121-9 + supporting information.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1073/pnas.2316303121
Artigo de periodico
Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm (2023)
Patiño, Claudia Patricia Barrera ; Soares, Jennifer Machado ; Blanco, Kate Cristina ; Inada, Natalia Mayumi ; Bagnato, Vanderlei Salvador
Source: Antibiotics. Unidade: IFSC
Subjects: RESISTÊNCIA MICROBIANA ÀS DROGAS, ANTIBIÓTICOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PATIÑO, Claudia Patricia Barrera et al. Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm. Antibiotics, v. 12, n. 10, p. 1502-1-1502-18 + supplementary materials, 2023Tradução . . Disponível em: https://doi.org/10.3390/antibiotics12101502. Acesso em: 31 jul. 2024.
APA
Patiño, C. P. B., Soares, J. M., Blanco, K. C., Inada, N. M., & Bagnato, V. S. (2023). Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm. Antibiotics, 12( 10), 1502-1-1502-18 + supplementary materials. doi:10.3390/antibiotics12101502
NLM
Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm [Internet]. Antibiotics. 2023 ; 12( 10): 1502-1-1502-18 + supplementary materials.[citado 2024 jul. 31 ] Available from: https://doi.org/10.3390/antibiotics12101502
Vancouver
Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm [Internet]. Antibiotics. 2023 ; 12( 10): 1502-1-1502-18 + supplementary materials.[citado 2024 jul. 31 ] Available from: https://doi.org/10.3390/antibiotics12101502
Trabalho de evento-anais periodico
AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging (Presentation+Paper) (2022)
Vasanthakumari, Priyanka; Romano, Renan Arnon ; Rosa, Ramon Gabriel Teixeira; Salvio, Ana Gabriela; Yakovlev, Vladislav ; Kurachi, Cristina ; Jo, Javier A.
Source: Proceedings of SPIE. Conference titles: Photonics West. Unidade: IFSC
Subjects: NEOPLASIAS (TRATAMENTO), TERAPIA FOTODINÂMICA, ÓPTICA (DIAGNÓSTICO)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASANTHAKUMARI, Priyanka et al. AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging (Presentation+Paper). Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. Disponível em: https://doi.org/10.1117/12.2610345. Acesso em: 31 jul. 2024. , 2022
APA
Vasanthakumari, P., Romano, R. A., Rosa, R. G. T., Salvio, A. G., Yakovlev, V., Kurachi, C., & Jo, J. A. (2022). AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging (Presentation+Paper). Proceedings of SPIE. Bellingham: International Society for Optical Engineering - SPIE. doi:10.1117/12.2610345
NLM
Vasanthakumari P, Romano RA, Rosa RGT, Salvio AG, Yakovlev V, Kurachi C, Jo JA. AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging (Presentation+Paper) [Internet]. Proceedings of SPIE. 2022 ; 11934 1193408-1-1193408-13.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1117/12.2610345
Vancouver
Vasanthakumari P, Romano RA, Rosa RGT, Salvio AG, Yakovlev V, Kurachi C, Jo JA. AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging (Presentation+Paper) [Internet]. Proceedings of SPIE. 2022 ; 11934 1193408-1-1193408-13.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1117/12.2610345

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