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 …

Tutorial: multivariate classification for vibrational spectroscopy in biological samples

CLM Morais, KMG Lima, M Singh, FL Martin - Nature Protocols, 2020 - nature.com
Vibrational spectroscopy techniques, such as Fourier-transform infrared (FTIR) and Raman
spectroscopy, have been successful methods for studying the interaction of light with …

Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases

M Paraskevaidi, BJ Matthew, BJ Holly… - Applied Spectroscopy …, 2021 - Taylor & Francis
Analytical technologies that can improve disease diagnosis are highly sought after. Current
screening/diagnostic tests for several diseases are limited by their moderate diagnostic …

Multi-biomarker panel signature as the key to diagnosis of ovarian cancer

T Muinao, HPD Boruah, M Pal - Heliyon, 2019 - cell.com
Early detection of ovarian cancer has been a challenge to manage the high mortality rate
caused by this deadly disease. The trends in mortality have been reduced by the scientific …

Machine learning-based LIBS spectrum analysis of human blood plasma allows ovarian cancer diagnosis

Z Yue, C Sun, F Chen, Y Zhang, W Xu… - Biomedical optics …, 2021 - opg.optica.org
Early-stage screening and diagnosis of ovarian cancer represent an urgent need in
medicine. Usual ultrasound imaging and cancer antigen CA-125 test when prescribed to a …

Improving data splitting for classification applications in spectrochemical analyses employing a random-mutation Kennard-Stone algorithm approach

CLM Morais, MCD Santos, KMG Lima… - Bioinformatics, 2019 - academic.oup.com
Motivation Data splitting is a fundamental step for building classification models with spectral
data, especially in biomedical applications. This approach is performed following pre …

Application of various optical and electrochemical nanobiosensors for detecting cancer antigen 125 (CA-125): a review

M Pourmadadi, A Moammeri, A Shamsabadipour… - Biosensors, 2023 - mdpi.com
Nowadays, diagnosing early-stage cancers can be vital for saving patients and dramatically
decreases mortality rates. Therefore, specificity and sensitivity in the detection of cancer …

Rapid diagnosis of lung cancer and glioma based on serum Raman spectroscopy combined with deep learning

C Chen, W Wu, C Chen, F Chen, X Dong… - Journal of Raman …, 2021 - Wiley Online Library
Lung cancer and glioma are common malignancies worldwide and pose a serious threat to
human health. There may be a certain correlation between lung cancer patients and glioma …

Novel optical biosensor based on a nano-gold coated by Schiff base doped in sol/gel matrix for sensitive screening of oncomarker CA-125

MN Abou-Omar, MS Attia, HG Afify, MA Amin… - ACS …, 2021 - ACS Publications
The urge for sensitive, facile, minimally invasive, and fast detection method of CA-125, a
significant and crucial biomarker in ovarian malignancy, is currently substantial. This paper …

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 …