
Researchers at Stanford University have used a generative AI system called Evo 2 to design 16 synthetic bacteriophages that kill E. coli more effectively than the natural ΦX174 phage, according to a…
Researchers at Stanford University have used a generative AI system called Evo 2 to design 16 synthetic bacteriophages that kill E. coli more effectively than the natural ΦX174 phage, according to a study published in the journal Science. The team produced and tested the AI-designed viruses in a controlled lab using a non-harmful strain of E. coli.
Times Now reports that experts in biosecurity warn existing rules may not be enough to manage such generative biology tools, especially since Evo 2 is open source. The Stanford team says it has no plans to commercialise the research yet, but open access has raised concerns about future misuse.
This story is being framed as a battle between medical breakthrough and biosafety nightmare. Both sides are overstated. The Stanford team used only bacteriophages, not animal or human viruses, and a non-pathogenic strain of E. coli. The real concern is not today's phages but tomorrow's capabilities with an open-source model. The test to watch will be how many labs outside biosecurity controls download and run Evo 2 on animal-virus sequences. That number will tell us whether open science is a boon or a liability.
Source: timesnownews.com
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