Artificial intelligence in membranous nephropathy: transforming clinical management toward precision medicine
Lei Hua, Cuijie Zhao, Zhenhua Yuan, Hang Su, Mingyang Cai, Xianqing Ren · 2026
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Description
Lei Hua and colleagues review how artificial intelligence could sharpen care for membranous kidney disease, in a review from 2026. The disease is the top cause of primary nephrotic syndrome in adults yet swings from quiet remission to kidney failure. While biopsy and a single antibody marker poorly forecast each path, pushing doctors toward trial-and-error immune drugs.
Uses span automated tissue measuring, scan-plus-blood models that may skip biopsy, drug choice models pitting rituximab against cyclophosphamide, and living patient models fed by multi-omics in the survey. Siloed data, opaque models, and thin global testing are flagged as brakes, with the tools framed as aids that sharpen, not replace, clinician calls.
Catalog record
| CREATOR | Lei Hua, Cuijie Zhao, Zhenhua Yuan, Hang Su, Mingyang Cai, Xianqing Ren |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 45473 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |