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

  25 August 2022

Antimicrobial resistance (AMR) has a detrimental impact on human health on Earth and it is equally concerning in other environments such as space habitat due to microgravity, radiation and confinement, especially for long-distance space travel. The International Space Station (ISS) is ideal for investigating microbial diversity and virulence associated with spaceflight. 

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.

Further reading: Microbiome
Author(s): Pedro Madrigal et al
Effective Surveillance  


Unrestricted financial support by:

Antimicrobial Resistance Fighter Coalition


JSS University


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