Emerging technologies for early risk stratification and precision management of diabetic kidney disease: a multimodal framework integrating digital phenotypes and clinical biomarkers

The integration of traditional clinical markers, digital TCM-derived phenotypes, and multi-omics data represents a promising paradigm for early, personalized, and dynamic DKD care. Future research should focus on external validation, impact on hard end points, and equitable deployment across real-world settings. This approach may help close the current diagnostic and therapeutic gaps in DKD management.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2026-01-09
DOI
https://doi.org/10.3389/fendo.2025.1728293
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00
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article

Emerging technologies for early risk stratification and precision management of diabetic kidney disease: a multimodal framework integrating digital phenotypes and clinical biomarkers

Wei Fang, Lingdong Meng, Zhijia Zhou, Lankun Zhang et al.
Frontiers in Endocrinology
Chronic Kidney Disease and Diabetes
article

Emerging technologies for early risk stratification and precision management of diabetic kidney disease: a multimodal framework integrating digital phenotypes and clinical biomarkers

Wei Fang, Lingdong Meng, Zhijia Zhou, Lankun Zhang, Anning Zhu, Hongyan Ji, Zhen Li, Ling Xu
article en

Abstract

The integration of traditional clinical markers, digital TCM-derived phenotypes, and multi-omics data represents a promising paradigm for early, personalized, and dynamic DKD care. Future research should focus on external validation, impact on hard end points, and equitable deployment across real-world settings. This approach may help close the current diagnostic and therapeutic gaps in DKD management.

Frontiers in EndocrinologyVol. 16
Nanjing University of Chinese Medicine (CN), Shanghai University of Traditional Chinese Medicine (CN), Yueyang Hospital (CN), Second Affiliated Hospital of Zhejiang University (CN), Yangzhou University (CN)
Openalex Percentile: Top 94%
Chronic Kidney Disease and Diabetes
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