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Beyond the diagnostic threshold: paradigm shift in laboratory medicine from passive reaction to predictive capability
Yu Zhang1, Li Dong2, Yun-Xia Xiu1
1Clinical Laboratory, The Second Affiliated Hospital of Mudanjiang Medical University, Mudanjiang, China.
None:
Conventional laboratory medicine, which relies on diagnostic thresholds, operates within a reactive framework that is inherently constrained by its retrospective and static nature. This perspective article scrutinizes the paradigm shift in the field from a responsive to a predictive discipline. The transition is centered on integrating multi-omics data, continuous biosensing, and artificial intelligence to build predictive systems capable of early risk identification and individualized health guidance. The perspective article further investigates the conceptual underpinnings, implementation pathways, and related challenges-spanning technical, ethical, and health-system dimensions-of this evolving paradigm. This transformation not only redefines the scope of laboratory medicine but also positions it as a foundational component within precision medicine and prevention-focused public health frameworks.
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