Automated phage therapy in smart hospitals: a hypothesis for an AI, metagenomics, and IoT pipeline to treat resistant infections

This hypothesis outlines a vision for an AI-driven, fully automated phage therapy pipeline in smart hospitals to address antimicrobial resistance. The system integrates physics-informed neural networks to optimise personalised dosing, AI algorithms for rapid phage selection from validated banks, IoT-enabled robotic delivery, and real-time metagenomic feedback to monitor efficacy and adapt treatment. Designed as a closed-loop platform, it could reduce diagnosis-to-treatment times to hours and improve outcomes, though high investment and regulatory hurdles may initially confine use to specialised centres. If validated, the approach could transform phage therapy and provide a scalable model for AI-driven biologic interventions in the AMR field.