Recent progresses in machine learning assisted Raman spectroscopy

Y Qi, D Hu, Y Jiang, Z Wu, M Zheng… - Advanced Optical …, 2023 - Wiley Online Library
With the development of Raman spectroscopy and the expansion of its application domains,
conventional methods for spectral data analysis have manifested many limitations. Exploring …

Machine learning and deep learning approaches for brain disease diagnosis: principles and recent advances

P Khan, MF Kader, SMR Islam, AB Rahman… - Ieee …, 2021 - ieeexplore.ieee.org
Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …

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 …

Electrochemical sensing of analytes in saliva: Challenges, progress, and perspectives

AG Cardoso, H Viltres, GA Ortega, V Phung… - TrAC Trends in …, 2023 - Elsevier
The detection of analytes in human saliva is an important task for real-life sensing device
applications, as well as a challenging issue due to its high viscosity and the presence of …

Raman spectroscopy and machine learning for biomedical applications: Alzheimer's disease diagnosis based on the analysis of cerebrospinal fluid

E Ryzhikova, NM Ralbovsky, V Sikirzhytski… - … Acta Part A: Molecular …, 2021 - Elsevier
Current Alzheimer's disease (AD) diagnostics is based on clinical assessments, imaging
and neuropsychological tests that are efficient only at advanced stages of the disease. Early …

Raman spectroscopy and its modifications applied to biological and medical research

ES Allakhverdiev, VV Khabatova, BD Kossalbayev… - Cells, 2022 - mdpi.com
Nowadays, there is an interest in biomedical and nanobiotechnological studies, such as
studies on carotenoids as antioxidants and studies on molecular markers for cardiovascular …

Novel aspects of Raman spectroscopy in skin research

D Lunter, V Klang, D Kocsis… - Experimental …, 2022 - Wiley Online Library
The analytical technology of Raman spectroscopy has an almost 100‐year history. During
this period, many modifications and developments happened in the method like discovery of …

An efficient primary screening of COVID‐19 by serum Raman spectroscopy

G Yin, L Li, S Lu, Y Yin, Y Su, Y Zeng… - Journal of Raman …, 2021 - Wiley Online Library
The outbreak of COVID‐19 coronavirus disease around the end of 2019 has become a
pandemic. The preferred method for COVID‐19 detection is the real‐time polymerase chain …

Advancing Raman spectroscopy from research to clinic: Translational potential and challenges

S Tanwar, SK Paidi, R Prasad, R Pandey… - Spectrochimica Acta Part …, 2021 - Elsevier
Raman spectroscopy has emerged as a non-invasive and versatile diagnostic technique
due to its ability to provide molecule-specific information with ultrahigh sensitivity at near …

Rapid biomarker screening of Alzheimer's disease by interpretable machine learning and graphene-assisted Raman spectroscopy

Z Wang, J Ye, K Zhang, L Ding, T Granzier-Nakajima… - ACS …, 2022 - ACS Publications
The study of Alzheimer's disease (AD), the most common cause of dementia, faces
challenges in terms of understanding the cause, monitoring the pathogenesis, and …