Related Experiment Video
Updated: Jan 16, 2026

07:02
Animal Model of Implant-Associated Infections in Mice
Published on: June 27, 2025
852
Smart Phages: Leveraging Artificial Intelligence to Tackle Prosthetic Joint Infections
Nicita Mehta1, Andrew T Nguyen1, Edward K Rodriguez2
1Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
Antibiotics (Basel, Switzerland)
|September 27, 2025
Summary
Antimicrobial resistance necessitates new treatments. Bacteriophages offer promise, and machine learning (ML) and artificial intelligence (AI) can overcome challenges in developing phage therapy for infections.
Area of Science:
- Microbiology
- Bioinformatics
- Computational Biology
Background:
- Traditional antibiotics face challenges like antimicrobial resistance (AMR) and biofilm infections.
- Bacteriophages (phages) are emerging as potential alternatives due to their unique antimicrobial properties and specificity.
- Clinical adoption of phage therapy is hindered by issues such as phage-host specificity and bacterial resistance.
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