Fig. 1From: Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learningThe workflow diagram of SERS-AICS. A drop of 15 µl serum was used for label-free SERS spectrum detection by Ag NWs. After dimensionality reduction of covariance matrix of high-dimensional serum spectral data, cancer related dimension database of bond level can be obtained. The subsequent support vector machine algorithm not only carries out accurate pan-cancer screening for five kinds of cancers with high mortality, but also achieves the identification between early-stage cancers and common diseasesBack to article page