Concentration monitoring and dose optimization for infliximab in Crohn’s disease patients: a machine learning-based covariate ensemble model

We developed and validated an interpretable ensemble model that can dynamically monitor drug concentrations and optimize personalized dosing of IFX therapy in CD patients, demonstrating the potential of an ML-based approach to enhance treatment efficacy and safety.

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Publication Details

Journal
Frontiers in Immunology
Published
2025-12-08
DOI
https://doi.org/10.3389/fimmu.2025.1715241
Primary Topic
Inflammatory Bowel Disease
Type
article
Field-Weighted Citation Impact
0.00

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article

Concentration monitoring and dose optimization for infliximab in Crohn’s disease patients: a machine learning-based covariate ensemble model

Zhou-Jie Liu, Sining Zhang, Jianwen Xu, Rongfang Lin et al.
Frontiers in Immunology
Inflammatory Bowel Disease
article

Concentration monitoring and dose optimization for infliximab in Crohn’s disease patients: a machine learning-based covariate ensemble model

Zhou-Jie Liu, Sining Zhang, Jianwen Xu, Rongfang Lin, Si Chen, Shaojun Jiang, Jing Liu, Shaopeng Zhou, Yuewen Chen
article en

Abstract

We developed and validated an interpretable ensemble model that can dynamically monitor drug concentrations and optimize personalized dosing of IFX therapy in CD patients, demonstrating the potential of an ML-based approach to enhance treatment efficacy and safety.

Frontiers in ImmunologyVol. 16
Fujian Medical University (CN), First Affiliated Hospital of Fujian Medical University (CN)
Fujian Medical University
Openalex Percentile: Top 59%
Inflammatory Bowel Disease
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Concentration monitoring and dose optimization for infliximab in Crohn’s disease patients: a machine learning-based covariate ensemble model — Zhou-Jie Liu, Sining Zhang, et al. · Frontiers in Immunology (2025) | TGRS Research Map | TGRS