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
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
peritoneal dialysis
artificial intelligence
magnetic resonance imaging
deep learning