Article

Deep Learning-Identified Clinical Trajectory Patterns and Associations with Kidney Outcomes in IgA Nephropathy

2025-09-05

Abstract excerpt

<h4>Background</h4> The heterogeneous course of IgA nephropathy limits risk stratification based on static markers. We sought to identify clinical trajectory subgroups using unsupervised deep learning and validate their association with long-term renal outcomes. <h4>Methods</h4> We analyzed 873 biopsy-proven cases from the nationwide Japan IgA Nephropathy Prospective Cohort Study (J-IGACS). A long short-term mem...

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Literature Corpus work: 4041ad9f-64a8-5143-85d1-6d0a623a05a6
DOI: 10.1101/2025.09.04.25333884

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