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Inteligencia artificial para la investigación de microbiología y microbioma

Xu-Wen Wang1, Tong Wang2, Yang-Yu Liu1

  • 1Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.

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La inteligencia artificial (IA) está revolucionando la investigación de microbiología y microbioma. Los métodos de aprendizaje automático y aprendizaje profundo están impulsando avances en la comprensión de la vida microbiana y su impacto en la salud y el medio ambiente.

Palabras clave:
inteligencia artificialaprendizaje profundomodelos de lenguajeaprendizaje automáticomicrobiologíamicrobioma

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Área de la Ciencia:

  • Microbiología
  • Investigación del Microbioma
  • Bioinformática
  • Biología Computacional

Sus antecedentes:

  • La inteligencia artificial (IA) está impactando cada vez más la investigación científica.
  • Los estudios de microbiología y microbioma se están beneficiando de las aplicaciones de aprendizaje automático (ML) y aprendizaje profundo (DL).
  • La comprensión de las comunidades microbianas es crucial para diversas aplicaciones biológicas y médicas.

Objetivo del estudio:

  • Proporcionar una revisión integral de los enfoques impulsados por la IA en la investigación de microbiología y microbioma.
  • Guiar a los investigadores en la selección de técnicas de IA apropiadas (ML vs. DL) para sus objetivos específicos.
  • Destacar los avances técnicos y los conocimientos biológicos obtenidos a través de las aplicaciones de IA.

Principales métodos:

  • Revisión de técnicas fundamentales de IA relevantes para datos biológicos.
  • Categorización de aplicaciones de IA en diversas áreas de investigación de microbiología y microbioma.
  • Discusión de los desafíos y los avances recientes en el campo.

Principales resultados:

  • La IA ofrece herramientas potentes para el perfilado taxonómico, la anotación funcional y la predicción de roles microbianos.
  • La IA facilita el estudio de las interacciones microbio-X, la ecología microbiana y el modelado metabólico.
  • Las aplicaciones de IA se extienden a la nutrición de precisión, la microbiología clínica y el desarrollo de terapéuticas.

Conclusiones:

  • La IA es una fuerza transformadora en la investigación de microbiología y microbioma, que permite metodologías novedosas.
  • La IA mejora nuestra comprensión del impacto de la vida microbiana en la salud planetaria y humana.
  • La integración de la IA promete soluciones innovadoras y una comprensión biológica más profunda.