A machine learning-based predictive model for stem cell therapy outcomes in plastic surgery

The machine learning-based predictive model for stem cell therapy efficacy in plastic surgery, constructed through clinical data analysis, exhibits moderate predictive accuracy and may serve as a reference for clinical personalized treatment.

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Publication Details

Journal
Frontiers in Medicine
Published
2025-12-17
DOI
https://doi.org/10.3389/fmed.2025.1683758
Primary Topic
Mesenchymal stem cell research
Type
article
Field-Weighted Citation Impact
0.00
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article

A machine learning-based predictive model for stem cell therapy outcomes in plastic surgery

Hongfeng Zhai, Zhen Song, Lingang Xu, Zhang De et al.
Frontiers in Medicine
Mesenchymal stem cell research
article

A machine learning-based predictive model for stem cell therapy outcomes in plastic surgery

Hongfeng Zhai, Zhen Song, Lingang Xu, Zhang De, Ying Lian
article en

Abstract

The machine learning-based predictive model for stem cell therapy efficacy in plastic surgery, constructed through clinical data analysis, exhibits moderate predictive accuracy and may serve as a reference for clinical personalized treatment.

Frontiers in MedicineVol. 12
Henan Provincial People's Hospital (CN), Zhengzhou People's Hospital (CN)
Openalex Percentile: Top 39%
Mesenchymal stem cell research
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