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Machine Learning-assisted in Silico Analysis Identifies Shared Proteomic Signatures Between Chronic Kidney Disease and Renal Cell Carcinoma

Article No results yet Peer reviewed

Key takeaways

This research used computer models to find shared protein patterns between kidney disease and kidney cancer. It is a computer-based analysis, not a test on people. The record does not include the study's findings.

Who did this work

Jin-Seok Jung (Yonsei University Mirae Campus) · Hyunsik Kim (Yonsei University) · HyeJoo An (Yonsei University Mirae Campus) · 康斯韵 (Yonsei University Mirae Campus) · Yuna Gwon (Yonsei University Mirae Campus) · Soyeong Lee (Wonju Severance Christian Hospital) · Jung‐Yoon Yoo (Yonsei University Mirae Campus)

Source

Article · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-09-29
https://doi.org/10.15616/bsl.2026.32.3.252