Exhaled Breath Biomarkers Reflect the Inflammasome and Lipidome Changes in Ischemic Heart Disease: A Study Using Machine Learning Models and Network Analysis

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Publication Details

Journal
Journal of Lipid and Atherosclerosis
Published
2025-01-01
DOI
https://doi.org/10.12997/jla.2025.14.3.350
Citations
2
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.61

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article

Exhaled Breath Biomarkers Reflect the Inflammasome and Lipidome Changes in Ischemic Heart Disease: A Study Using Machine Learning Models and Network Analysis

Albina Fedorova, Artemiy Silantyev, Daria Gognieva, P. Sh. Chomakhidze et al.
2 citations
Journal of Lipid and Atherosclerosis
Metabolomics and Mass Spectrometry Studies
1.61
article

Exhaled Breath Biomarkers Reflect the Inflammasome and Lipidome Changes in Ischemic Heart Disease: A Study Using Machine Learning Models and Network Analysis

Albina Fedorova, Artemiy Silantyev, Daria Gognieva, P. Sh. Chomakhidze, А. Yu. Suvorov, Philipp Kopylov, Syrkin Al, Basheer Abdullah Marzoog, Malika Mustafina, Anastasia Stroeva
article en
2 citations

Abstract

No abstract available for this paper.
Journal of Lipid and AtherosclerosisVol. 14(3)
Sechenov University (RU), Central Clinical Hospital and Polyclinic (RU)
Russian Science Foundation
Openalex Percentile: Top 15%
Metabolomics and Mass Spectrometry Studies
1.61
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Exhaled Breath Biomarkers Reflect the Inflammasome and Lipidome Changes in Ischemic Heart Disease: A Study Using Machine Learning Models and Network Analysis — Albina Fedorova, Artemiy Silantyev, et al. · Journal of Lipid and Atherosclerosis (2025) | TGRS Research Map | TGRS