Surface-Enhanced Raman Spectroscopy-Based Detection of Micro-RNA Biomarkers for Biomedical Diagnosis Using a Comparative Study of Interpretable Machine Learning Algorithms

• Published in: Applied spectroscopy p. 37028231209053
• Main Authors: Li, Joy Q, Neng-Wang, Hsin, Canning, Aidan J, Gaona, Alejandro, Crawford, Bridget M, Garman, Katherine S, Vo-Dinh, Tuan
• Format: Journal Article
• Language: English
• Published: United States 01.01.2024
• Subjects: CNN; SERS; NMF; convolutional neural network; Surface-enhanced Raman spectroscopy; miRNA; nanoparticle; machine learning; micro-RNA; non-negative matrix factorization

Surface-enhanced Raman spectroscopy (SERS) has wide diagnostic applications due to narrow spectral features that allow multiplex analysis. We have previously developed a multiplexed, SERS-based nanosensor for micro-RNA (miRNA) detection called the inverse molecular sentinel (iMS). Machine learning (...