Towards grey-zone reliability in CA19-9 nanobiosensing: an AI-integrated molecular interface design-to-decision

Ziyi Shang1,2, Linya Shan1,2, Che Liu3

  • 1Nano Research Laboratory, School of Pharmacy, Jinzhou Medical University, Jinzhou, China. danli@jzmu.edu.cn.

Chemical Communications (Cambridge, England)
|August 10, 2026
PubMed
Summary

This review proposes a reliability-centered nanobiosensing framework for interpreting borderline CA19-9 levels. It integrates advanced techniques to improve diagnostic accuracy in the ambiguous "grey zone," reducing patient anxiety and overdiagnosis.

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