A comparative mini review on nanoparticle-based colorimetric sensors for detection of viral nucleic acids and proteins and future advancement using artificial intelligence (AI) and machine learning (ML)

Year 2025, Volume: 2 Issue: 1, 18 - 30, 25.06.2025

Zia Ul Quasim Syed , Kavya Gavai Moaz Zia Nikhil Motwani

Abstract

Recent advances in nanomaterial-based biosensing have significantly enhanced the sensitivity, specificity, and accessibility of diagnostic technologies, particularly through the integration of colorimetric sensor arrays and artificial intelligence. Creative sensor designs in combination with machine learning now incorporate molecular amplification strategies like rolling circle amplification, strand displacement, and hybridization chain reactions to achieve detection limits in the attomole to femtomolar range, even in undiluted serum and plasma. Thus, taking the technology from bench side to bed side. In this review we will discuss various applications and integration of machine learning and artificial intelligence for diagnostic applications to henceforth improve healthcare.

Keywords

Nanoparticles , Diagnostics , Colorimetric sensors , Point-of-care , Artificial intelligence

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