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

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-28
DOI
https://doi.org/10.5281/zenodo.19288893
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
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article

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

Dheeraj Swamy B. L. P., Rahul Chouhan
Zenodo (CERN European Organization for Nuclear Research)
Bacterial Identification and Susceptibility Testing
article

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

Dheeraj Swamy B. L. P., Rahul Chouhan
article en

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

Zenodo (CERN European Organization for Nuclear Research)
Emerson (Sweden) (SE)
Affordable and clean energy
Openalex Percentile: Top 3%
Bacterial Identification and Susceptibility Testing
DOIOpen Access PDFOpenAlex
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