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.
Authors
- Wei Fang
- Lingdong Meng
- Zhijia Zhou
- Lankun Zhang
- Anning Zhu
- Hongyan Ji
- Zhen Li
- Ling Xu
Institutions
- 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)
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