Our focus
Predict phage-host interactions more accurately and model treatment dynamics with clinically relevant outcomes.
Deep learning for enhanced phage therapy
Antimicrobial resistance is increasing globally, and many infections are becoming harder to treat with standard antibiotics alone. Phage therapy offers a promising alternative because phages can selectively target harmful bacteria.
The challenge is speed: matching the right phage to the right bacterial strain often requires extensive testing. Team BATTLE is developing computational tools to prioritize the best phage candidates sooner, then validate predictions through experiments.
Predict phage-host interactions more accurately and model treatment dynamics with clinically relevant outcomes.
Integrate machine learning, simulation, and iterative wet-lab feedback into one applied research pipeline.
Support more effective, personalized phage-based treatment strategies against resistant bacterial infections.
Learn more. Visit the Research page.