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August 18, 2025Frontiers in Public HealthOpen Access

Applications and challenges of biomarker-based predictive models in proactive health management

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Authors

QZQiming ZhaoCZChen ZhangWZWei Zhang

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Overview

Review evaluates biomarker-based predictive models for disease detection and healthcare optimization, highlighting key implementation challenges.

Key Points

  • Predictive models can enhance early disease screening accuracy, particularly in chronic conditions and oncology.
  • The framework addresses challenges such as data heterogeneity, implementation costs, and lack of standardization.
  • Systematic review identifies critical barriers to clinical translation of biomarker-driven models across diverse populations.
  • Innovative approaches, including multi-omics and longitudinal studies, are essential for expanding model applications.

Cite This Study

Zhao et al. (2025) studied this question.

synapsesocial.com/papers/68af432fad7bf08b1ead2723https://doi.org/10.3389/fpubh.2025.1633487
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