194 related articles for article (PubMed ID: 36678833)
1. Discovering Glioma Tissue through Its Biomarkers' Detection in Blood by Raman Spectroscopy and Machine Learning.
Vrazhnov D; Mankova A; Stupak E; Kistenev Y; Shkurinov A; Cherkasova O
Pharmaceutics; 2023 Jan; 15(1):. PubMed ID: 36678833
[TBL] [Abstract][Full Text] [Related]
2. Glycosylation spectral signatures for glioma grade discrimination using Raman spectroscopy.
Quesnel A; Coles N; Angione C; Dey P; Polvikoski TM; Outeiro TF; Islam M; Khundakar AA; Filippou PS
BMC Cancer; 2023 Feb; 23(1):174. PubMed ID: 36809974
[TBL] [Abstract][Full Text] [Related]
3. Glioma
Riva M; Sciortino T; Secoli R; D'Amico E; Moccia S; Fernandes B; Conti Nibali M; Gay L; Rossi M; De Momi E; Bello L
Cancers (Basel); 2021 Mar; 13(5):. PubMed ID: 33802369
[TBL] [Abstract][Full Text] [Related]
4. Raman and FTIR spectroscopy in determining the chemical changes in healthy brain tissues and glioblastoma tumor tissues.
Depciuch J; Tołpa B; Witek P; Szmuc K; Kaznowska E; Osuchowski M; Król P; Cebulski J
Spectrochim Acta A Mol Biomol Spectrosc; 2020 Jan; 225():117526. PubMed ID: 31655362
[TBL] [Abstract][Full Text] [Related]
5. Raman Spectroscopy and Machine Learning for IDH Genotyping of Unprocessed Glioma Biopsies.
Sciortino T; Secoli R; d'Amico E; Moccia S; Conti Nibali M; Gay L; Rossi M; Pecco N; Castellano A; De Momi E; Fernandes B; Riva M; Bello L
Cancers (Basel); 2021 Aug; 13(16):. PubMed ID: 34439355
[TBL] [Abstract][Full Text] [Related]
6. Discrimination of glioma patient-derived cells from healthy astrocytes by exploiting Raman spectroscopy.
Iturrioz-Rodríguez N; De Pasquale D; Fiaschi P; Ciofani G
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Mar; 269():120773. PubMed ID: 34952436
[TBL] [Abstract][Full Text] [Related]
7. Raman-based machine learning platform reveals unique metabolic differences between IDHmut and IDHwt glioma.
Lita A; Sjöberg J; Păcioianu D; Siminea N; Celiku O; Dowdy T; Păun A; Gilbert MR; Noushmehr H; Petre I; Larion M
Neuro Oncol; 2024 Jun; ():. PubMed ID: 38828478
[TBL] [Abstract][Full Text] [Related]
8. Computational Assessment of Spectral Heterogeneity within Fresh Glioblastoma Tissue Using Raman Spectroscopy and Machine Learning Algorithms.
Klein K; Klamminger GG; Mombaerts L; Jelke F; Arroteia IF; Slimani R; Mirizzi G; Husch A; Frauenknecht KBM; Mittelbronn M; Hertel F; Kleine Borgmann FB
Molecules; 2024 Feb; 29(5):. PubMed ID: 38474491
[TBL] [Abstract][Full Text] [Related]
9. A Handheld Visible Resonance Raman Analyzer Used in Intraoperative Detection of Human Glioma.
Zhang L; Zhou Y; Wu B; Zhang S; Zhu K; Liu CH; Yu X; Alfano RR
Cancers (Basel); 2023 Mar; 15(6):. PubMed ID: 36980638
[TBL] [Abstract][Full Text] [Related]
10. Assessment of tumor cells in a mouse model of diffuse infiltrative glioma by Raman spectroscopy.
Tanahashi K; Natsume A; Ohka F; Momota H; Kato A; Motomura K; Watabe N; Muraishi S; Nakahara H; Saito Y; Takeuchi I; Wakabayashi T
Biomed Res Int; 2014; 2014():860241. PubMed ID: 25247190
[TBL] [Abstract][Full Text] [Related]
11. Human brain cancer studied by resonance Raman spectroscopy.
Zhou Y; Liu CH; Sun Y; Pu Y; Boydston-White S; Liu Y; Alfano RR
J Biomed Opt; 2012 Nov; 17(11):116021. PubMed ID: 23154776
[TBL] [Abstract][Full Text] [Related]
12. Characterization of lipid extracts from brain tissue and tumors using Raman spectroscopy and mass spectrometry.
Köhler M; Machill S; Salzer R; Krafft C
Anal Bioanal Chem; 2009 Mar; 393(5):1513-20. PubMed ID: 19153721
[TBL] [Abstract][Full Text] [Related]
13. Identification of pediatric brain neoplasms using Raman spectroscopy.
Leslie DG; Kast RE; Poulik JM; Rabah R; Sood S; Auner GW; Klein MD
Pediatr Neurosurg; 2012; 48(2):109-17. PubMed ID: 23154646
[TBL] [Abstract][Full Text] [Related]
14. IDH1 mutation in human glioma induces chemical alterations that are amenable to optical Raman spectroscopy.
Uckermann O; Yao W; Juratli TA; Galli R; Leipnitz E; Meinhardt M; Koch E; Schackert G; Steiner G; Kirsch M
J Neurooncol; 2018 Sep; 139(2):261-268. PubMed ID: 29761368
[TBL] [Abstract][Full Text] [Related]
15. Rapid Biomarker Screening of Alzheimer's Disease by Interpretable Machine Learning and Graphene-Assisted Raman Spectroscopy.
Wang Z; Ye J; Zhang K; Ding L; Granzier-Nakajima T; Ranasinghe JC; Xue Y; Sharma S; Biase I; Terrones M; Choi SH; Ran C; Tanzi RE; Huang SX; Zhang C; Huang S
ACS Nano; 2022 Apr; 16(4):6426-6436. PubMed ID: 35333038
[TBL] [Abstract][Full Text] [Related]
16. Raman spectroscopy and machine learning for the classification of esophageal squamous carcinoma.
Huang W; Shang Q; Xiao X; Zhang H; Gu Y; Yang L; Shi G; Yang Y; Hu Y; Yuan Y; Ji A; Chen L
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Nov; 281():121654. PubMed ID: 35878494
[TBL] [Abstract][Full Text] [Related]
17. Differentiation of glioblastoma tissues using spontaneous Raman scattering with dimensionality reduction and data classification.
Romanishkin I; Savelieva T; Kosyrkova A; Okhlopkov V; Shugai S; Orlov A; Kravchuk A; Goryaynov S; Golbin D; Pavlova G; Pronin I; Loschenov V
Front Oncol; 2022; 12():944210. PubMed ID: 36185245
[TBL] [Abstract][Full Text] [Related]
18. Mutation Endmember Library Sparse Mixed Abundance Estimation Model for Glioma Margin Determination with Raman Spectroscopy.
Li Q; Wang J
Anal Chem; 2024 May; 96(21):8273-8281. PubMed ID: 38271956
[TBL] [Abstract][Full Text] [Related]
19. Meta-Analysis of the Efficacy of Raman Spectroscopy and Machine-Learning-Based Identification of Glioma Tissue.
Goff NK; Ashby L; Ashour R
World Neurosurg; 2024 May; 189():26-32. PubMed ID: 38796149
[TBL] [Abstract][Full Text] [Related]
20. Machine learning methods for the classification of gliomas: Initial results using features extracted from MR spectroscopy.
Ranjith G; Parvathy R; Vikas V; Chandrasekharan K; Nair S
Neuroradiol J; 2015 Apr; 28(2):106-11. PubMed ID: 25923676
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]