The model's performance was tested by evaluating it against bacteria, where the researchers knew that the transfer of resistance genes had occurred, but where the AI model was not told in advance.

The model's performance was tested by evaluating it against bacteria, where the researchers knew that the transfer of resistance genes had occurred, but where the AI model was not told in advance.

Hsu and graduate student Hollyn Franklin built a model that allows them to diminish phage communities from a mouse gut microbiome—and then bring them back—without affecting the bacteria.

INRAE scientists have identified seven bacteria involved in the microbiota barrier effect, which prevents pathogenic bacteria ...

Tulane's model addresses both problems by analyzing whole genome sequences and comparing groups of bacterial strains with different resistance patterns to find genetic changes that reliably ...

They did so by developing and training an artificial intelligence model capable of making a tailored selection of phages based solely on the genome of the targeted bacteria. The results of this ...

Hsu and graduate student Hollyn Franklin built a model that allows them to diminish phage communities from a mouse gut microbiome — and then bring them back — without affecting the bacteria.