Variational Free Energy Minimization for Mechanism Identification in Clinical Antimicrobial Resistance.

Key Points

• To explore a method for identifying mechanisms of antimicrobial resistance using variational free energy.
• Introduced a novel application of Variational Free Energy for antimicrobial resistance identification.
• Utilized zero-shot learning for diagnostics without prior training.
• Mapped clinical phenotypes to mechanisms using EUCAST logic.
• Successfully identified resistance mechanisms with minimal surprise.
• Provided insights into effective diagnostics with a structural generative model.