Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning

NM Ralbovsky, IK Lednev - Chemical Society Reviews, 2020 - pubs.rsc.org
Many problems exist within the myriad of currently employed screening and diagnostic
methods. Further, an incredibly wide variety of procedures are used to identify an even …

Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion

Y Qi, Y Liu, J Luo - PhotoniX, 2023 - Springer
Raman spectroscopy, as a label-free optical technology, has widely applied in tumor
diagnosis. Relying on the different Raman technologies, conventional diagnostic methods …

Revising Fourier-transform infrared (FT-IR) and Raman spectroscopy towards brain cancer detection

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 …

Detection of pseudo brain tumors via stacked LSTM neural networks using MR spectroscopy signals

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 …

Raman spectroscopy: a tool for molecular fingerprinting of brain cancer

S Murugappan, SAM Tofail, ND Thorat - ACS omega, 2023 - ACS Publications
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 …

[HTML][HTML] Discrimination of glioma patient-derived cells from healthy astrocytes by exploiting Raman spectroscopy

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 …

Raman spectroscopy as a tool to study the pathophysiology of brain diseases

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 …

Lipid alterations in glioma: a systematic review

K Abdul Rashid, K Ibrahim, JHD Wong, N Mohd Ramli - Metabolites, 2022 - mdpi.com
Gliomas are highly lethal tumours characterised by heterogeneous molecular features,
producing various metabolic phenotypes leading to therapeutic resistance. Lipid metabolism …

Raman spectroscopy as a neuromonitoring tool in traumatic brain injury: a systematic review and clinical perspectives

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 …

Correlation between human colon cancer specific antigens and Raman spectra. Attempting to use Raman spectroscopy in the determination of tumor markers for …

J Depciuch, P Jakubczyk, W Paja, K Pancerz… - … , Biology and Medicine, 2023 - Elsevier
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 …