Glycosylation spectral signatures for glioma grade discrimination using Raman spectroscopy.

Agathe QuesnelNathan ColesClaudio AngionePriyanka DeyTuomo M PolvikoskiTiago F OuteiroMeez IslamAhmad A KhundakarPanagiota S Filippou

Published in: BMC cancer (2023)

RS combined with machine learning could pave the way for more objective and less invasive grading of glioma patients, serving as a useful tool to facilitate glioma diagnosis and delineate biomolecular glioma progression changes.

Keyphrases

raman spectroscopy
machine learning
end stage renal disease
newly diagnosed
ejection fraction
prognostic factors
optical coherence tomography
artificial intelligence
gene expression
patient reported outcomes
computed tomography
dna methylation