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Machine learning to characterize antimicrobial resistanceMachine learning technique to predict antibiotic resistant microbes on the ISS.
Document ID
20220001789
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Afshin Beheshti (Wyle (United States) El Segundo, California, United States)
Date Acquired
February 1, 2022
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Aerospace Medicine
Meeting Information
Meeting: NASA-DOD Technical Interchange
Location: Virtual
Country: US
Start Date: February 2, 2022
Sponsors: National Aeronautics and Space Administration
Funding Number(s)
CONTRACT_GRANT: NNA14AB82C
Distribution Limits
Public
Copyright
Public Use Permitted.

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