Gender-specific classification of subclinical liver and renal dysfunction in older adults using machine learning and cytokine profiling
Integrating machine learning with cytokine profiling emerges as a highly promising method for early detection of liver and renal abnormalities in the aging population, suggesting significant potential for improving preventive healthcare outcomes.
Authors
- Jiajun Cai (ORCID: https://orcid.org/0000-0002-4024-8380)
- Honglei Liu (ORCID: https://orcid.org/0000-0001-5518-4749)
- Lvtao Zeng
- Sijia Li
- Li Zhang
- Jihong Hu
- Zihui Wang
Institutions
- Academy of Medical Sciences (GB)
- Capital University (US)
- Capital Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- Shandong Provincial Hospital (CN)
- Beijing Hospital (CN)
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Shandong First Medical University (CN)
- Academia Sinica (TW)
Publication Details
- Journal
- Digital Health
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1177/20552076261416809
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00