… classify diseases based on vibrational spectroscopy is to recognize the pattern of the fingerprint.
In the context of IR and Raman spectroscopy … In a general sense, spectral data sets can …

… Here, we propose a Raman mapping approach to establish Raman spectroscopy as a
diagnostic method for healthy control patients (HC), patients with CD, and patients with UC. Since …

… In this study, surface enhanced Raman spectroscopy (SERS) was used to investigate the
spectral characteristics of blood serum for the purpose of diagnosing stomach diseases. SERS …

… on the disease-specific variations in spectral variables including the locations of the … of
more useful Raman spectral features. We proposed to use Raman spectroscopy in combination …

… disease treatment. … , Raman spectroscopy (RS) is applied to determine the features of the
body fluids component composition, specifically, to detect various pathological diseases. RS …

… for several diseases 22. Raman spectroscopy has been applied to diagnose different types
of … After the ability of our classification methods to detect and separate AD spectra from HC …

… [ Citation 43 ] investigated the use of Raman spectroscopy in classification of gliomas. This
study involved the use of fresh tissue (n = 62), FFPE tissues (n = 120), cryosections (n = 79) …

… In this paper, we examine how variations in normal tissue can influence disease classification
of Raman spectra. Raman spectra from normal areas may be affected by previous disease …

… facilitates disease diagnosis based on Raman spectroscopy, … AI classification model for
different types of Raman spectral data. Here, we selected five representative Raman spectral …

… We compare the performance of convolutional neural networks … Raman spectra with a high
autofluorescence background stimulated by a 785 nm laser. We have registered the spectra …