Raman-based machine learning platform reveals unique metabolic differences between IDHmut and IDHwt glioma.

Adrian LitaJoel SjöbergDavid PăcioianuNicoleta SimineaOrieta CelikuTyrone DowdyAndrei PăunMark R GilbertHoutan Noushmehr Ion Petre Mioara Larion

Published in: Neuro-oncology (2024)

Our results demonstrate the potential of label-free Raman spectroscopy to classify glioma subtypes from FFPE slides and to extract meaningful biological information thus opening the door for future applications on these archived tissues in other cancers.

Keyphrases

raman spectroscopy
label free
machine learning
gene expression
oxidative stress
current status
high throughput
big data
health information
human health
deep learning
healthcare
climate change
social media