Interpretable multimodal machine learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy

These may become biomarkers for incident DSPN, guide prevention strategies and serve as proof of concept for the utility of IMML in studying complex diseases.

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Publication Details

Journal
Communications Medicine
Published
2024-12-16
DOI
https://doi.org/10.1038/s43856-024-00637-1
Citations
1
Primary Topic
Caveolin-1 and cellular processes
Type
article
Field-Weighted Citation Impact
0.33

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article

Interpretable multimodal machine learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy

Barbara Thorand, Wolfgang Rathmann, Michael Roden, Karsten Suhre et al.
1 citations
Communications Medicine
Caveolin-1 and cellular processes
0.33
article

Interpretable multimodal machine learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy

Barbara Thorand, Wolfgang Rathmann, Michael Roden, Karsten Suhre, Dániel Garger, Holger Prokisch, Michael P. Menden, Jerzy Adamski, Haïfa Maalmi, Gabi Kastenmüller, Diyuan Lu, Gidon J. Bönhof, Christian Herder, Harald Grallert, Mélanie Waldenberger, Christian Gieger, Phong Nguyen, Annette Peters, Dan Ziegler
article en
1 citations

Abstract

These may become biomarkers for incident DSPN, guide prevention strategies and serve as proof of concept for the utility of IMML in studying complex diseases.

Communications MedicineVol. 4(1)
University of Ljubljana (SI), The University of Melbourne (AU), National University of Singapore (SG), Zimmer Biomet (Netherlands) (NL), Helmholtz Zentrum München (DE), Düsseldorf University Hospital (DE), Institute of Bioinformatics and Systems Biology (DE), Deutsches Diabetes-Zentrum e.V. (DE), Weill Cornell Medical College in Qatar (QA), German Center for Diabetes Research (DE), Heinrich Heine University Düsseldorf (DE), Technical University of Munich (DE), Ludwig-Maximilians-Universität München (DE)
Bundesministerium für Bildung und Forschung, Bundesministerium für Gesundheit, Helmholtz Zentrum München
Good health and well-being
Openalex Percentile: Top 38%
Caveolin-1 and cellular processes
0.33
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