Applications of Raman spectroscopy in cancer diagnosis

GW Auner, SK Koya, C Huang, B Broadbent… - Cancer and Metastasis …, 2018 - Springer
Novel approaches toward understanding the evolution of disease can lead to the discovery
of biomarkers that will enable better management of disease progression and improve …

[HTML][HTML] Non-invasive diagnosis of colorectal cancer by Raman spectroscopy: Recent developments in liquid biopsy and endoscopy approaches

H Noothalapati, K Iwasaki, T Yamamoto - Spectrochimica Acta Part A …, 2021 - Elsevier
Colorectal cancer (CRC) is the third most common cancer diagnosed globally and is also
one of the leading causes of cancer deaths in both men and women. The progression of …

Analysis of hepatitis B virus infection in blood sera using Raman spectroscopy and machine learning

S Khan, R Ullah, A Khan, R Ashraf, H Ali, M Bilal… - Photodiagnosis and …, 2018 - Elsevier
This study presents the analysis of hepatitis B virus (HBV) infection in human blood serum
using Raman spectroscopy combined with pattern recognition technique. In total, 119 …

Raman spectroscopic techniques to detect ovarian cancer biomarkers in blood plasma

M Paraskevaidi, KM Ashton, HF Stringfellow, NJ Wood… - Talanta, 2018 - Elsevier
Robust diagnosis of ovarian cancer is crucial to improve patient outcomes. The lack of a
single and accurate diagnostic approach necessitates the advent of novel methods in the …

SERS-based differential diagnosis between multiple solid malignancies: Breast, colorectal, lung, ovarian and oral cancer

V Moisoiu, A Stefancu, D Gulei, R Boitor… - International journal …, 2019 - Taylor & Francis
Purpose Surface-enhanced Raman scattering (SERS) spectroscopy on serum and other
biofluids for cancer diagnosis represents an emerging field, which has shown promising …

Screening ovarian cancers with Raman spectroscopy of blood plasma coupled with machine learning data processing

F Chen, C Sun, Z Yue, Y Zhang, W Xu… - … Acta Part A: Molecular …, 2022 - Elsevier
The mortality of ovarian cancer is closely related to its poor rate of early detection. In the
search of an efficient diagnosis method, Raman spectroscopy of blood features as a …

Correlation between endometriomas volume and Raman spectra. Attempting to use Raman spectroscopy in the diagnosis of endometrioma

Z Guleken, H Bulut, B Bulut, W Paja… - … Acta Part A: Molecular …, 2022 - Elsevier
The formation of the uterus lining, ie the endometrium, outside the uterus (ex. in the
abdominal cavity, ovaries, or anywhere in the body) is called endometriosis. The presence …

A comparative analysis of different biofluids towards ovarian cancer diagnosis using Raman microspectroscopy

P Giamougiannis, CLM Morais, R Grabowska… - Analytical and …, 2021 - Springer
Biofluids, such as blood plasma or serum, are currently being evaluated for cancer detection
using vibrational spectroscopy. These fluids contain information of key biomolecules, such …

A comparative study of machine learning classifiers for risk prediction of asthma disease

R Ullah, S Khan, H Ali, II Chaudhary, M Bilal… - Photodiagnosis and …, 2019 - Elsevier
Asthma is a chronic disease characterized by wheezing, chest tightening and difficulty in
breathing due to inflammation of lung airways. Early risk prediction of asthma is crucial for …

Rapid screening of hepatitis B using Raman spectroscopy and long short-term memory neural network

X Wang, S Tian, L Yu, X Lv, Z Zhang - Lasers in medical science, 2020 - Springer
This study presents a rapid method to screen hepatitis B patients using serum Raman
spectroscopy combined with long short-term memory neural network (LSTM). The serum …