Filtros : "IFSC005" "Financiamento CPRIT" Removidos: "FFLCH-FLC" "ICB-BMA" Limpar

Filtros



Refine with date range


  • Source: Proceedings of the National Academy of Sciences of the United States of America - PNAS. Unidade: IFSC

    Subjects: TERAPIA FOTODINÂMICA, LASER, MELANOMA

    Versão PublicadaAcesso à fonteDOIHow to cite
    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 out. 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 out. 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 out. 31 ] Available from: https://doi.org/10.1073/pnas.2316303121
  • Source: Biomedical Optics Express. Unidade: IFSC

    Subjects: TERAPIA FOTODINÂMICA, NEOPLASIAS, MELANOMA

    Versão PublicadaAcesso à fonteDOIHow to cite
    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 out. 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 out. 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 out. 31 ] Available from: https://doi.org/10.1364/BOE.515962
  • Source: Antibiotics. Unidade: IFSC

    Subjects: RESISTÊNCIA MICROBIANA ÀS DROGAS, ANTIBIÓTICOS, APRENDIZADO COMPUTACIONAL

    Versão PublicadaAcesso à fonteDOIHow to cite
    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 out. 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 out. 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 out. 31 ] Available from: https://doi.org/10.3390/antibiotics12101502
  • Source: Proceedings of SPIE. Conference titles: Photonics West. Unidade: IFSC

    Subjects: NEOPLASIAS (TRATAMENTO), TERAPIA FOTODINÂMICA, ÓPTICA (DIAGNÓSTICO)

    PrivadoAcesso à fonteDOIHow to cite
    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 out. 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 out. 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 out. 31 ] Available from: https://doi.org/10.1117/12.2610345

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024