← brief for 2026-08-10 · Regeneration & devices

Clinical application of deep learning-based measurement of glomerular morphometry in IgAN

Paper C Peer reviewed Observational

Key takeaways

This study used artificial intelligence to measure tiny kidney-filter structures on biopsy images in IgA nephropathy. It reports how well the computer tool works. It is a method study, not a treatment.

Who did this work

Linlin Xu (Ministry of Education) · Xing-kuo Zhang (Beijing University of Posts and Telecommunications) · Zhen-zheng Dong (Beijing University of Posts and Telecommunications) · Pei Chen (Ministry of Education) · Lei Jiang (Ministry of Education) · Lijun Liu (Ministry of Education) · Xujie Zhou (Ministry of Education) · Jicheng Lv (Ministry of Education) · Li Xiao (Beijing University of Posts and Telecommunications) · Su-Fang Shi (Ministry of Education) · Hong Zhang (Ministry of Education)

Source

Indexed paper · OpenAlex — CKD concept sweep (DB seed + weekly delta) · 2026-08-04
https://doi.org/10.3389/fimmu.2026.1910367