Evidence map›Paper›PMID 40806372›Full record

ArticleInternational journal of molecular sciences2025

Spectral Region Optimization and Machine Learning-Based Nonlinear Spectral Analysis for Raman Detection of Cardiac Fibrosis Following Myocardial Infarction.

Arno Krause, Marco Andreana, Richard D Walton, James Marchant, Nestor Pallares-Lupon, Kanchan Kulkarni, Wolfgang Drexler, Angelika Unterhuber

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Special Issue "Raman Spectroscopy and Machine Learning in Human Disease".International journal of molecular sciences · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Arno KrauseCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
Marco AndreanaCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.ORCID 0000-0002-8212-0545
Richard D WaltonIHU Liryc, University of Bordeaux, INSERM U 1045, CRCTB, F-33000 Bordeaux, France.
James MarchantIHU Liryc, University of Bordeaux, INSERM U 1045, CRCTB, F-33000 Bordeaux, France.ORCID 0000-0002-9551-835X
Nestor Pallares-LuponIHU Liryc, University of Bordeaux, INSERM U 1045, CRCTB, F-33000 Bordeaux, France.
Kanchan KulkarniIHU Liryc, University of Bordeaux, INSERM U 1045, CRCTB, F-33000 Bordeaux, France.ORCID 0000-0002-3185-0484
Wolfgang DrexlerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
Angelika UnterhuberCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.ORCID 0000-0002-1251-3001

Funding

Agence Nationale de la Recherche ANR-10-IAHU-04Agence Nationale de la Recherche ANR-19-ECVD-0006-01Agence Nationale de la Recherche ANR-23-CE17-0003Austrian Research Promotion Agency 46699249European Research Area Network ERA-CVD 680969European Union's Horizon 2020 research and innovation programme 871212Fondation Lefoulon-Delalande FellowshipFrench Region Nouvelle Aquitaine 2016-1R 30113 0000 7550/2016-1R 30113 0000 7553Marie Skłodowska-Curie Actions 860185
6 · The paper itself

Abstract

Cardiac fibrosis following myocardial infarction plays a critical role in the formation of scar tissue and contributes to ventricular arrhythmias, including ventricular tachycardia and sudden cardiac death. Current clinical diagnostics use electrical and structural markers, but lack precision due to low spatial resolution and absence of molecular information. In this paper, we employed line scan Raman microspectroscopy to classify sheep myocardial tissue into muscle, necrotic, granulated, and fibrotic tissue types, using collagen as a molecular biomarker. Three spectral regions were evaluated: region A (600-2960 cm

Indexed as

Machine LearningMyocardial InfarctionMyocardiumSpectrum Analysis, RamanAnimalsBiomarkersCollagenFibrosisPrincipal Component AnalysisSheepSupport Vector MachineBiomarkersCollagencardiac fibrosiscollagenmyocardial infarctionnonlinear regressionprincipal component analysisRaman spectroscopyspectral band selectionsupport vector machinetissue classification

Identifiers

PMID40806372
PMCPMC12346871

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.