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<p>Point-of-care (POC) diagnostics is being revolutionized by smartphone-assisted biosensors, which combine cutting-edge sensing technologies with the computing power and connectivity of smartphones. These biosensors provide a portable and affordable substitute for conventional laboratory-based diagnostics by enabling the quick, real-time analysis of physiological parameters and biomarkers. Smartphone-assisted biosensors enable continuous health monitoring, enhanced patient engagement, and early disease detection by utilizing optical, electrochemical, and biomarker-based detection techniques. The development of smartphone-assisted biosensing platforms is reviewed in this article, along with their technological integration, detection methods, and medical applications. Sensor accuracy, data security, regulatory approval, and standardization continue to be challenges despite the progress. The impact of recent advancements on infectious disease management, chronic disease monitoring, and personalized medicine is highlighted in this review, which critically assesses wearable biosensors, AI-driven analytics, and smartphone-integrated disease detection systems.</p>

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Smartphone-assisted biosensors in point-of-care diagnostics: integration, applications, and future challenges

  • 期刊论文

  • 发表日期：

    2025年9月2日

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  • Haluk Çelik,
  • Balım Bengisu Caf,
  • Gizem Çebi

摘要

Point-of-care (POC) diagnostics is being revolutionized by smartphone-assisted biosensors, which combine cutting-edge sensing technologies with the computing power and connectivity of smartphones. These biosensors provide a portable and affordable substitute for conventional laboratory-based diagnostics by enabling the quick, real-time analysis of physiological parameters and biomarkers. Smartphone-assisted biosensors enable continuous health monitoring, enhanced patient engagement, and early disease detection by utilizing optical, electrochemical, and biomarker-based detection techniques. The development of smartphone-assisted biosensing platforms is reviewed in this article, along with their technological integration, detection methods, and medical applications. Sensor accuracy, data security, regulatory approval, and standardization continue to be challenges despite the progress. The impact of recent advancements on infectious disease management, chronic disease monitoring, and personalized medicine is highlighted in this review, which critically assesses wearable biosensors, AI-driven analytics, and smartphone-integrated disease detection systems.