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An algorithm for the characterization of influenza A viruses from various host species and environments.

Laura A PulscherRichard John WebbyGregory C Gray
Published in: Influenza and other respiratory viruses (2024)
Due to the extensive host range of influenza A viruses, it is difficult to determine the best diagnostic algorithm to efficiently screen samples from a variety of host species for influenza A viruses. While there are some influenza diagnostic algorithms that are specific to host species, to our knowledge, no single algorithm exists for the characterization of influenza A viruses across multiple host species. In this paper, we propose an algorithm that can serve as a guide for screening human, animal, and environmental samples for influenza A viruses of high human and animal health importance.
Keyphrases
  • machine learning
  • genetic diversity
  • deep learning
  • endothelial cells
  • healthcare
  • public health
  • mental health
  • induced pluripotent stem cells
  • neural network
  • high throughput
  • health information
  • social media