Revolutionizing Diagnostics: Machine Learning Unleashes the Power of Surface-Enhanced Raman Spectroscopy
November 21, 2023
Duke University researchers, led by Joy Q. Li, revolutionize biomedical diagnostics with a multiplexed SERS-based nanosensor called inverse molecular sentinel (iMS) for micro-RNA detection, employing machine learning, particularly convolutional neural networks (CNN) and non-negative matrix factorization (NMF), to achieve higher accuracy in spectral unmixing, paving the way for more precise and efficient clinical diagnostics.
