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How AI can slow the rise of antibiotic-resistant superbugs

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Abstract

Antimicrobial-resistant (AMR) superbugs" contribute to more than 4.5 million deaths globally per year and threaten to make common medical procedures such as surgery and chemotherapy less safe. Despite the burden of AMR, very few innovative antibiotics, antifungals, and other antimicrobial therapies are in development, and private investment is insufficient. Artificial intelligence, machine learning, and related technologies have the potential to accelerate antimicrobial drug discovery and development and improve clinical care for patients suffering with AMR infections."
Key Data

  • Publication Date
    13 May 2025
  • Primary Author
    Cesar de la Fuente-Nunez
  • Source
    Bulletin of the Atomic Scientists
  • Language
    English
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