Open Medicine · Published 2026-01-01 · DOI 10.1515/med-2026-1415
The diagnosis of Wilson disease (WD) is complicated by heterogeneous clinical phenotypes and inadequate performance of routine biomarkers. This study sought to screen age-specific urinary metabolic biomarkers to assist WD diagnosis via ensemble tree-based machine learning algorithms.
Abstract from DOAJ. Public domain (CC0 1.0).
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