Raman spectroscopy, as a label-free optical technology, has widely applied in tumor diagnosis. Relying on the different Raman technologies, conventional diagnostic methods …
T Lilo, CLM Morais, C Shenton, A Ray… - Photodiagnosis and …, 2022 - Elsevier
Fourier-transform infrared (FT-IR) and Raman spectroscopy are being widely applied as sensor-based techniques in oncology, particularly in the diagnosis of brain cancers and their …
E Dandıl, S Karaca - Biocybernetics and Biomedical Engineering, 2021 - Elsevier
Magnetic resonance spectroscopy (MRS) is one of the non-invasive tools used in the detection of brain tumors. MRS provides a metabolic profile about the brain. In this profile …
Brain cancer is one of those few cancers with very high mortality and low five-year survival rate. First and foremost reason for the woes is the difficulty in diagnosing and monitoring the …
N Iturrioz-Rodríguez, D De Pasquale, P Fiaschi… - … Acta Part A: Molecular …, 2022 - Elsevier
Glioblastoma multiforme (GBM) is one of the most common and aggressive brain tumors. It presents a very bad prognosis with a patients' overall survival of 12–15 months; treatment …
O Terrones, J Olazar-Intxausti, I Anso… - International Journal of …, 2023 - mdpi.com
The Raman phenomenon is based on the spontaneous inelastic scattering of light, which depends on the molecular characteristics of the dispersant. Therefore, Raman spectroscopy …
Gliomas are highly lethal tumours characterised by heterogeneous molecular features, producing various metabolic phenotypes leading to therapeutic resistance. Lipid metabolism …
AR Stevens, CA Stickland, G Harris, Z Ahmed… - Cells, 2022 - mdpi.com
Traumatic brain injury (TBI) is a significant global health problem, for which no disease- modifying therapeutics are currently available to improve survival and outcomes. Current …
Colorectal cancer is the second most common cause of cancer-related deaths worldwide. To follow up on the progression of the disease, tumor markers are commonly used. Here, we …