Artificial Intelligence-Driven Surveillance Systems That Can Identify Infectious Variants of Viruses or Bacteria Transmitted in Humans

Home AI News Artificial Intelligence-Driven Surveillance Systems That Can Identify Infectious Variants of Viruses or Bacteria Transmitted in Humans

Researchers have developed a new method that uses AI technology to identify viral and bacterial variants in transmission, including influenza, neo-crowns, pertussis and tuberculosis. By monitoring samples from infected people in real time, the method automatically identifies new variants that evade vaccines and antibiotic resistance, and provides data to support treatment decisions.

The technology, based on genetic sequencing, is able to analyze genetic changes in variants and their ability to spread, rapidly identifying new variants without the need for expert intervention. It is applicable to a wide range of pathogens and requires only a small number of samples, which is particularly valuable in resource-limited areas.

The team used this technique to identify new drug-resistant variants of pertussis and tuberculosis. The method could help customize vaccines and antibiotic treatments to provide a rapid response to infectious diseases. The researchers say this technique could become an important tool for global infectious disease surveillance, helping to counter the rapid evolution and mutation of pathogens.

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