An interpretable metabolomic-driven machine learning model for early prediction of knee structural OA progression

This validated metabolomics DL framework (https://github.com/AFSHINJAM/KOA_Prediction_Metabolomics_Ratios) introduces a novel approach for predicting knee OA structural progression, enabling personalized risk assessment and early intervention.

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Publication Details

Journal
Lara D. Veeken
Published
2025-12-20
DOI
https://doi.org/10.1093/rheumatology/keaf686
Primary Topic
Osteoarthritis Treatment and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
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article

An interpretable metabolomic-driven machine learning model for early prediction of knee structural OA progression

Graeme Jones, Guangju Zhai, J. Martel-Pelletier, F. Cicuttini et al.
Lara D. Veeken
Osteoarthritis Treatment and Mechanisms
article

An interpretable metabolomic-driven machine learning model for early prediction of knee structural OA progression

Graeme Jones, Guangju Zhai, J. Martel-Pelletier, F. Cicuttini, Jean-Pierre Pelletier, Afshin Jamshidi, Weidong Zhang, Ming Liu
article en

Abstract

This validated metabolomics DL framework (https://github.com/AFSHINJAM/KOA_Prediction_Metabolomics_Ratios) introduces a novel approach for predicting knee OA structural progression, enabling personalized risk assessment and early intervention.

Lara D. VeekenVol. 65(1)
University of Tasmania (AU), Memorial University of Newfoundland (CA), Jilin University (CN), The Alfred Hospital (AU), Monash Health (AU), Changchun University (CN), Monash University (AU), Université de Montréal (CA)
Openalex Percentile: Top 28%
Osteoarthritis Treatment and Mechanisms
DOISourceOpenAlex
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An interpretable metabolomic-driven machine learning model for early prediction of knee structural OA progression — Graeme Jones, Guangju Zhai, et al. · Lara D. Veeken (2025) | TGRS Research Map | TGRS