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June 20, 2026Cancer NanotechnologyOpen Access

Artificial intelligence-driven methods and nanoparticle-based biosensors for rapid and sensitive detection of EGFR mutations in non-small cell lung cancer

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Authors

NNNadine Wafik NabihUniversity of Sadat CityMNMohamed S. NafieSuez Canal UniversityABAsaad BabkerGulf Medical University

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Overview

Review summarizes advances in nanoparticle biosensors for EGFR mutations in non-small cell lung cancer, highlighting future clinical applications.

Key Points

  • The aim is to explore novel methods for rapid detection of EGFR mutations in non-small cell lung cancer using biosensors and AI.
  • Reviewed advances in nanoparticle-based biosensors for EGFR mutation detection.
  • Analyzed biosensing approaches using gold nanoparticles, quantum dots, and magnetic nanoparticles.
  • Discussed challenges in translating these technologies to clinical settings.
  • Highlighted enhanced signal amplification through AI integration in biosensors.
  • Noted improved detection sensitivity and reduced response time using advanced nanoparticle methods.
  • Addressed standardization and regulatory hurdles for clinical implementation.

Cite This Study

Nabih et al. (2026) studied this question.

synapsesocial.com/papers/6a363147db0793dc1a5382e9https://doi.org/10.1186/s12645-026-00397-8
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Also Consider

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  1. 1From missed mutations to liquid clues: a new era of EGFR diagnostics in NSCLC2025
  2. 2A “turn-on” CRISPR-mediated method using enhanced fluorescent bimetallic DNA nanoclusters for EGFR mutation detection in non-small cell lung cancer2026
  3. 3Detection of EGFR mutations at pM concentration in ten minutes using a microfluidic concentration and separation module2025
  4. 4Detecting EGFR Gene Mutations on a Nanobioarray Chip2026
  5. 5Detecting EGFR Gene Mutations on a Nanobioarray Chip2025