Biosensing in Healthcare Applications

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.