1426. Integrating artificial intelligence and dynamic programming to identify microbial clusters through antimicrobial susceptibility sequence analysis

BACKGROUND: The spread of infectious diseases and antimicrobial resistance poses a significant threat, especially in developing countries where traditional DNA fingerprinting techniques are often not available. We propose a novel approach using dynamic programming algorithms to compare antimicrobial...

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Detalles Bibliográficos
Autores principales: Couto, Braulio, Starling, Carlos E, Pereira, Hoberdan, Ladeira, Ana Paula, Carvalho, Walisson Ferreira, Lima, Naísses Zóia, dos Santos, Marcos Augusto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Abstract
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677119/
http://dx.doi.org/10.1093/ofid/ofad500.1263

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677119/
http://dx.doi.org/10.1093/ofid/ofad500.1263

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