The Story of Us
Phage therapy has a bottleneck: matching.
Finding a phage that works against a specific bacterial isolate still relies on slow, brute-force wet-lab screening. Labs may need to test many candidates over several days before finding a useful hit.
We built a prediction model for E. coli phage-host matching to help labs prioritize the most promising phages before screening begins.
Our goal is to make isolate-specific phage matching faster, cheaper, and scalable, especially for multidrug-resistant E. coli, where time matters.
