What question did this study set out to answer?

To explore a method for identifying mechanisms of antimicrobial resistance using variational free energy.

March 30, 20260 citationsOpen Access

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

RCRahul ChouhanEmerson (Sweden)DPDheeraj Swamy B. L. P.Vellore Institute of Technology University

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.

Abstract

We present a novel Variational Free Energy (VFE) application for zero-shot AMR identification. By treating diagnostics as categorical inference within a structural generative model—rather than distributive ML—we map clinical phenotypes to mechanisms via EUCAST 2024 logic. This minimizes surprise to identify resistance without prior training

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