Machine learning-enhanced nanofiber systems: a new frontier in controlled drug release (2026)
- Authors:
- USP affiliated authors: OLIVEIRA JUNIOR, OSVALDO NOVAIS DE - IFSC ; SOARES, GABRIELLA ONILA DO NASCIMENTO - EESC ; SOUSA, DIEGO FERNANDO SILVA - IFSC ; SANTI, VÍTOR HUGO BRIDI DEI - IFSC
- Unidades: IFSC; EESC
- DOI: 10.1088/1361-6528/ae38e7
- Subjects: MATERIAIS NANOESTRUTURADOS; NANOTECNOLOGIA; NANOPARTÍCULAS; APRENDIZADO COMPUTACIONAL; PLANEJAMENTO DE FÁRMACOS
- Language: Inglês
- Imprenta:
- Source:
- Título: Nanotechnology
- ISSN: 0957-4484
- Volume/Número/Paginação/Ano: v. 37, n. 5, p. 052001, Jan. 2026
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SOARES, Gabriella Onila do Nascimento et al. Machine learning-enhanced nanofiber systems: a new frontier in controlled drug release. Nanotechnology, v. 37, n. Ja 2026, p. 052001, 2026Tradução . . Disponível em: https://doi.org/10.1088/1361-6528/ae38e7. Acesso em: 20 fev. 2026. -
APA
Soares, G. O. do N., Santi, V. H. B. D., Soares, A. C., Sousa, D. F. S., Souza, S. O. L. de, & Oliveira Junior, O. N. de. (2026). Machine learning-enhanced nanofiber systems: a new frontier in controlled drug release. Nanotechnology, 37( Ja 2026), 052001. doi:10.1088/1361-6528/ae38e7 -
NLM
Soares GO do N, Santi VHBD, Soares AC, Sousa DFS, Souza SOL de, Oliveira Junior ON de. Machine learning-enhanced nanofiber systems: a new frontier in controlled drug release [Internet]. Nanotechnology. 2026 ; 37( Ja 2026): 052001.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1088/1361-6528/ae38e7 -
Vancouver
Soares GO do N, Santi VHBD, Soares AC, Sousa DFS, Souza SOL de, Oliveira Junior ON de. Machine learning-enhanced nanofiber systems: a new frontier in controlled drug release [Internet]. Nanotechnology. 2026 ; 37( Ja 2026): 052001.[citado 2026 fev. 20 ] Available from: https://doi.org/10.1088/1361-6528/ae38e7 - The landscape of wearable sensors and automated literature analysis with large-language models
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Informações sobre o DOI: 10.1088/1361-6528/ae38e7 (Fonte: oaDOI API)
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