Machine learning applied to analyses of FTIR spectrum to identification of antibiotic resistance in different species of microorganisms (2025)
- Authors:
- USP affiliated authors: BLANCO, KATE CRISTINA - IFSC ; INADA, NATALIA MAYUMI - IFSC ; BAGNATO, VANDERLEI SALVADOR - IFSC ; SOARES, JENNIFER MACHADO - IFSC
- Unidade: IFSC
- DOI: 10.1016/j.pdpdt.2025.104971
- Subjects: TERAPIA FOTODINÂMICA; APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE PADRÕES; ESPECTROSCOPIA INFRAVERMELHA; RESISTÊNCIA MICROBIANA ÀS DROGAS
- Language: Inglês
- Imprenta:
- Source:
- Título: Photodiagnosis and Photodynamic Therapy
- ISSN: 1572-1000
- Volume/Número/Paginação/Ano: v. 56, p. 39 (article 104971), Nov. 2025
- Conference titles: International Photodynamic Association World Congress - IPA
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BLANCO, Kate Cristina et al. Machine learning applied to analyses of FTIR spectrum to identification of antibiotic resistance in different species of microorganisms. Photodiagnosis and Photodynamic Therapy. Amsterdam: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.pdpdt.2025.104971. Acesso em: 28 jan. 2026. , 2025 -
APA
Blanco, K. C., Soares, J. M., Inada, N. M., & Bagnato, V. S. (2025). Machine learning applied to analyses of FTIR spectrum to identification of antibiotic resistance in different species of microorganisms. Photodiagnosis and Photodynamic Therapy. Amsterdam: Instituto de Física de São Carlos, Universidade de São Paulo. doi:10.1016/j.pdpdt.2025.104971 -
NLM
Blanco KC, Soares JM, Inada NM, Bagnato VS. Machine learning applied to analyses of FTIR spectrum to identification of antibiotic resistance in different species of microorganisms [Internet]. Photodiagnosis and Photodynamic Therapy. 2025 ; No 2025 39 (article 104971).[citado 2026 jan. 28 ] Available from: https://doi.org/10.1016/j.pdpdt.2025.104971 -
Vancouver
Blanco KC, Soares JM, Inada NM, Bagnato VS. Machine learning applied to analyses of FTIR spectrum to identification of antibiotic resistance in different species of microorganisms [Internet]. Photodiagnosis and Photodynamic Therapy. 2025 ; No 2025 39 (article 104971).[citado 2026 jan. 28 ] Available from: https://doi.org/10.1016/j.pdpdt.2025.104971 - Study of the action of curcuminoids in the photodynamic inactivation of bacteria resistant to antibiotics
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- Influence of photodynamic action on pure and mixed cultures of gram-negative bacteria: related to growth mechanisms
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- Analysis of the spread of bacterial resistance after photodynamic inactivation by minimum inhibitory concentration (MIC) (Poster + Paper)
Informações sobre o DOI: 10.1016/j.pdpdt.2025.104971 (Fonte: oaDOI API)
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