Discovering Glioma Tissue through Its Biomarkers’ Detection in Blood by Raman Spectroscopy and Machine Learning
The most commonly occurring malignant brain tumors are gliomas, and among them is glioblastoma multiforme. The main idea of the paper is to estimate dependency between glioma tissue and blood serum biomarkers using Raman spectroscopy. We used the most common model of human glioma when continuous cel...
Main Authors: | Denis Vrazhnov, Anna Mankova, Evgeny Stupak, Yury Kistenev, Alexander Shkurinov, Olga Cherkasova |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Pharmaceutics |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4923/15/1/203 |
Similar Items
-
Analysis of Mouse Blood Serum in the Dynamics of U87 Glioblastoma by Terahertz Spectroscopy and Machine Learning
by: Denis Vrazhnov, et al.
Published: (2022-10-01) -
Glycosylation spectral signatures for glioma grade discrimination using Raman spectroscopy
by: Agathe Quesnel, et al.
Published: (2023-02-01) -
Terahertz Time-Domain Spectroscopy of Glioma Patient Blood Plasma: Diagnosis and Treatment
by: Olga Cherkasova, et al.
Published: (2023-04-01) -
Diagnosis of Glioma Molecular Markers by Terahertz Technologies
by: Olga Cherkasova, et al.
Published: (2021-01-01) -
Raman spectroscopy: A prospective intraoperative visualization technique for gliomas
by: Yi Zhang, et al.
Published: (2023-01-01)