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August 30, 2026FlexMat.Open Access

Engineered molecular diagnostic strategies for hepatocellular carcinoma: Integrating flexible photonic barcodes, liquid biopsies, and AI‐enhanced sensing platforms

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Authors

JXJingzhi XueWYWanqi YangXLXiaoyu Liu

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Overview

Narrative review outlines integrated flexible biosensors and AI for early hepatocellular carcinoma detection, indicating potential for improved multiplexed point-of-care liquid biopsy.

Key Points

  • To review the limitations of conventional alpha-fetoprotein screening and examine advanced engineered biosensing platforms for earlier hepatocellular carcinoma detection.
  • Assessed conventional serum alpha-fetoprotein diagnostic performance and its diagnostic shortcomings in early-stage disease.
  • Synthesized developments in flexible biosensors, specifically hydrogel photonic barcodes integrated with exosome analysis, CRISPR amplification, and artificial intelligence.
  • Conventional alpha-fetoprotein testing shows inadequate clinical sensitivity for early-stage hepatocellular carcinoma detection.
  • Hydrogel photonic barcode platforms integrated with exosome isolation, CRISPR-assisted amplification, and machine learning enhance multiplexed detection sensitivity and automated risk assessment.
  • Clinical adoption requires resolving key engineering hurdles, including material standardization, scalable manufacturing, device reproducibility, and multicenter clinical validation.

Cite This Study

Xue et al. (2026) studied this question.

synapsesocial.com/papers/6a93f08e6c1a8fb52e79cd6fhttps://doi.org/10.1002/flm2.70125
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