Machine-learning how to overcome antibiotic-resistant gonorrhea
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Jun-2026 12:16 ET (22-Jun-2026 16:16 GMT/UTC)
With tens of millions of annual cases, gonorrhea is the second most frequently reported sexually transmitted infection (STI). Alone in the U.S., over 600,000 cases are reported each year. If left untreated, gonorrhea can result in a plethora of serious health issues. The major challenge in more effectively controlling the disease lies in the ability of the responsible pathogen to rapidly develop resistance against newly available antibiotics.
Now, a new study published in Science Translational Medicine led by Wyss Institute Core Faculty member James Collins, Ph.D. at the Wyss Institute at Harvard University, MIT, and Broad Institute of MIT and Harvard offers an exciting new AI-enabled strategy to identify new chemical compounds that could be further developed into antibiotic therapies for N. gonorrhoeae.
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