Machine Learning-Augmented Lateral Flow Assays for Point-of-Care Infectious Disease Diagnostics

Key Points

• The aim is to enhance lateral flow assays with machine learning to improve their effectiveness for diagnosing infectious diseases.
• Incorporated machine learning algorithms into traditional lateral flow assays.
• Evaluated diagnostic performance through comparative analysis.
• Tested the system across various infectious disease biomarkers.
• Machine learning-augmented LFAs demonstrated higher sensitivity and specificity compared to conventional LFAs.
• Results showed quicker reading times and increased accuracy in diagnostics.