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Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome.

Pedro MadrigalNitin K SinghJason M WoodElena GaudiosoFélix Hernández-Del-OlmoChristopher E MasonKasthuri VenkateswaranAfshin Behesti
Published in: Microbiome (2022)
Overall, our computational predictions and validation analyses demonstrate the advantages of machine learning to uncover concealed AMR determinants in metagenomics datasets, expanding the understanding of the ISS environmental microbiomes and their pathogenic potential in humans. Video Abstract.
Keyphrases
  • machine learning
  • antimicrobial resistance
  • artificial intelligence
  • big data
  • human health
  • deep learning
  • risk assessment
  • clinical evaluation