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  3. Biosensing In Healthcare Applications.
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  3. Biosensing In Healthcare Applications.

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Biosensing in Healthcare Applications.

Musaddique Mahfuz Ahmed1, Debashreeta Singha1, Vinod Babasaheb Vanarse1

  • 1Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India.

Studies in Health Technology and Informatics
|February 23, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Biosensing technologies offer precise healthcare diagnostics and monitoring. Integrating biosensors with AI and IoT enables real-time, personalized medicine, advancing global health solutions.

Keywords:
AI and MLBiosensorsbio-transducerbioreceptorsmicro-nano technologysmart health

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Area of Science:

  • Biomedical Engineering
  • Healthcare Technology
  • Nanotechnology

Background:

  • Biosensing technologies are crucial for precise diagnostics, monitoring, and therapeutics in healthcare.
  • They utilize biorecognition and signal transduction for specific biological analyte detection.
  • Advancements span electrochemical, optical, and nanomaterial platforms for diverse clinical uses.

Purpose of the Study:

  • To explore fundamental biosensor principles and cutting-edge innovations.
  • To discuss the translational potential of biosensors in global health challenges.
  • To examine challenges like biocompatibility, stability, and regulatory hurdles.

Main Methods:

  • Review of biosensor design principles (electrochemical, optical, nanomaterial-based).
  • Integration analysis of artificial intelligence (AI), machine learning (ML), and Internet of Things (IoT).
  • Assessment of clinical applications in glucose monitoring, infectious diseases, and cancer diagnostics.

    • Main Results:

    • Biosensors provide high precision, sensitivity, and efficiency in healthcare applications.
    • Integration with AI/ML and IoT enables real-time, personalized digital health solutions.
    • Key applications include disease detection, biomarker identification, and drug delivery systems.

    Conclusions:

    • Biosensing platforms are vital for the future of precision medicine.
    • Scalability, cost-effectiveness, and advanced technology integration are key for harnessing biosensor potential.
    • Addressing challenges like biocompatibility and regulatory approval is essential for widespread adoption.