Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases
Analytical technologies that can improve disease diagnosis are highly sought after. Current
screening/diagnostic tests for several diseases are limited by their moderate diagnostic …
screening/diagnostic tests for several diseases are limited by their moderate diagnostic …
Application of vibrational spectroscopy and imaging to point-of-care medicine: a review
S Pahlow, K Weber, J Popp, BR Wood… - Applied …, 2018 - journals.sagepub.com
Vibrational spectroscopy and imaging promise molecular information that can be rapidly
acquired without the need for specialized stains or dyes, thereby potentially simplifying and …
acquired without the need for specialized stains or dyes, thereby potentially simplifying and …
Analysis of hepatitis B virus infection in blood sera using Raman spectroscopy and machine learning
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 …
using Raman spectroscopy combined with pattern recognition technique. In total, 119 …
The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical …
B Goh, K Ching, RJ Soares Magalhães… - PLoS neglected …, 2021 - journals.plos.org
Spectroscopy-based techniques are emerging diagnostic and surveillance tools for
mosquito-borne diseases. This review has consolidated and summarised recent research in …
mosquito-borne diseases. This review has consolidated and summarised recent research in …
Analysis of tuberculosis disease through Raman spectroscopy and machine learning
We present the effectiveness of Raman spectroscopy (RS) in combination with machine
learning for screening and analysis of blood sera collected from tuberculosis patients. Blood …
learning for screening and analysis of blood sera collected from tuberculosis patients. Blood …
Potentiality of using front face fluorescence spectroscopy for quantitative analysis of cow milk adulteration in buffalo milk
In current study, synchronous front-face fluorescence spectroscopy together with partial least
squares regression (PLSR) is used to predict the adulteration of cow and buffalo milk …
squares regression (PLSR) is used to predict the adulteration of cow and buffalo milk …
Cost effective and efficient screening of tuberculosis disease with Raman spectroscopy and machine learning algorithms
R Ullah, S Khan, II Chaudhary, S Shahzad, H Ali… - Photodiagnosis and …, 2020 - Elsevier
The current study presents Raman Spectroscopy (RS) accompanied by machine learning
algorithms based on Principle Component Analysis (PCA) and Hierarchical Cluster Analysis …
algorithms based on Principle Component Analysis (PCA) and Hierarchical Cluster Analysis …
Random forest-based evaluation of Raman spectroscopy for dengue fever analysis
This work presents the evaluation of Raman spectroscopy using random forest (RF) for the
analysis of dengue fever in the infected human sera. A total of 100 dengue suspected blood …
analysis of dengue fever in the infected human sera. A total of 100 dengue suspected blood …
Identification of cow and buffalo milk based on Beta carotene and vitamin-A concentration using fluorescence spectroscopy
The current study presents the application of fluorescence spectroscopy for the identification
of cow and buffalo milk based on β-carotene and vitamin-A which is of prime importance …
of cow and buffalo milk based on β-carotene and vitamin-A which is of prime importance …
Raman‐spectroscopy‐based differentiation between cow and buffalo milk
In this study, Raman spectroscopy together with chemometric techniques has been
demonstrated to differentiate between cow and buffalo milk. The Raman spectra of milk …
demonstrated to differentiate between cow and buffalo milk. The Raman spectra of milk …