PaperLabAI - Swift CRP Segmentation for Sensitive Analysis

Authors

  • Josephine Brown Sunshine Coast College, Australia
  • Ivan Petrov Sunshine Coast College, Australia
  • Chang Lee Sunshine Coast College, Australia

Abstract

PaperLabAI presents a transformative solution for rapid and sensitive C-reactive protein (CRP) segmentation in point-of-care diagnostics. Leveraging the power of artificial intelligence (AI) and paper-based microfluidics, our innovative approach streamlines CRP analysis, enabling swift and accurate segmentation for sensitive detection. By seamlessly integrating AI algorithms with the simplicity and versatility of paper microfluidics, PaperLabAI offers a cost-effective and portable platform for decentralized healthcare. Experimental validation demonstrates the efficacy of our methodology in achieving rapid and precise CRP segmentation across a wide range of sample concentrations. With its potential to enhance diagnostic efficiency and accessibility, PaperLabAI heralds a new era of point-of-care diagnostics, empowering healthcare providers with timely insights for disease diagnosis and patient management. PaperLabAI's ability to achieve sensitive CRP analysis holds promise for early disease detection and personalized treatment strategies. By providing rapid and accurate segmentation within a portable and user-friendly platform, our technology has the potential to revolutionize healthcare delivery, particularly in resource-limited settings. With its transformative impact on point-of-care diagnostics, PaperLabAI represents a significant step towards democratizing access to advanced diagnostic capabilities and improving health outcomes worldwide.

Downloads

Published

2023-09-28

Issue

Section

Articles