Immunochromatographic SERS sensor-deep learning combined strategy for intelligent diagnosis of chronic kidney disease

Key Points

• The combined strategy enhances the diagnosis accuracy of chronic kidney disease using advanced biomarkers.
• In a test sample, the deep learning model achieved over 90% accuracy in identifying disease states.
• Analysis involved immunochromatographic SERS sensor readings processed through deep learning algorithms.
• This innovative method supports the potential for faster, more accurate kidney disease diagnostics.