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Identification of plasma biomarkers for chronic kidney disease by integrating proteomics and machine learning

Article C Peer reviewed Observational

Key takeaways

Researchers studied blood samples from 27,429 people in the UK. They used computer tools to find protein markers. These markers may help predict who will develop kidney disease. This shows a link between the markers and disease, but it is not proof of cause.

Who did this work

Shiqi Wang (Nanjing Medical University) · Rongkui Hu (Nanjing Medical University) · Yujia Zhang (Nanjing Medical University) · Yuheng Wang (Nanjing Medical University) · Yao Chen (Nanjing Medical University) · Peng Huang (Nanjing Medical University)

Source

Article · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-11-02
https://doi.org/10.23876/j.krcp.26.161