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Ion Mobility-Mass Spectrometry Techniques for Determining the Structure and Mechanisms of Metal Ion Recognition and Redox Activity of Metal Binding Oligopeptides
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[Establishment of a Noninvasive Diagnostic Model for Wilson Disease Using Metallomics and Machine Learning]

Huiling Zhou1, Huan Xu1, Ao Pan1

  • 1/ （ 610041）West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.

Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal of Sichuan University. Medical Science Edition
|April 23, 2026
PubMed
Summary

This study found distinct urine metal profiles in Wilson disease (WD) patients, identifying key biomarkers like the copper/zinc ratio. A machine learning model achieved high accuracy for early, non-invasive WD diagnosis.

Keywords:
BiomarkersMachine learningMetallomicsNon-invasive diagnosisWilson disease

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