Applications of mid-infrared spectroscopy in the clinical laboratory setting

S De Bruyne, MM Speeckaert… - Critical reviews in clinical …, 2018 - Taylor & Francis
Fourier transform mid-infrared (MIR-FTIR) spectroscopy is a nondestructive, label-free,
highly sensitive and specific technique that provides complete information on the chemical …

Applications of FT-IR spectrophotometry in cancer diagnostics

AA Bunaciu, VD Hoang… - Critical reviews in …, 2015 - Taylor & Francis
This review provides a brief background to the application of infrared spectroscopy,
including Fourier transform-infrared spectroscopy, in biological fluids. It is not meant to be …

Fourier-transform infrared spectroscopy coupled with a classification machine for the analysis of blood plasma or serum: a novel diagnostic approach for ovarian …

K Gajjar, J Trevisan, G Owens, PJ Keating, NJ Wood… - Analyst, 2013 - pubs.rsc.org
Currently available screening tests do not deliver the required sensitivity and specificity for
accurate diagnosis of ovarian or endometrial cancer. Infrared (IR) spectroscopy of blood …

Fourier‐transform infrared spectroscopy of biofluids: A practical approach

AG Theakstone, C Rinaldi, HJ Butler… - Translational …, 2021 - Wiley Online Library
Biofluid spectroscopy is an emerging technology in the field of clinical investigation,
providing a simple way to extract diagnostic and observational information from easy to …

Validation of soft classification models using partial class memberships: An extended concept of sensitivity & co. applied to grading of astrocytoma tissues

C Beleites, R Salzer, V Sergo - Chemometrics and Intelligent Laboratory …, 2013 - Elsevier
We use partial class memberships in soft classification to model uncertain labeling and
mixtures of classes. Partial class memberships are not restricted to predictions, but may also …

Discrimination of Healthy and Cancerous Colon Cells Based on FTIR Spectroscopy and Machine Learning Algorithms

M Lasalvia, C Gallo, V Capozzi, G Perna - Applied Sciences, 2023 - mdpi.com
Colorectal cancer was one of the most frequent causes of death due to cancer in 2020.
Current diagnostic methods, based on colonoscopy and histological analysis of biopsy …

[HTML][HTML] Detection of effective genes in colon cancer: A machine learning approach

MA Fahami, M Roshanzamir, NH Izadi… - Informatics in Medicine …, 2021 - Elsevier
Nowadays, a variety of cancers have become common among humans which unfortunately
are the cause of death for many of these people. Early detection and diagnosis of cancers …

Infrared spectroscopy provides a green analytical chemistry tool for direct diagnosis of cancer

M Khanmohammadi, AB Garmarudi - TrAC Trends in Analytical Chemistry, 2011 - Elsevier
Diagnosis of cancer is one of the most important aspects of medical research and has
become the main aim of biomedical investigations. Misdiagnosis is the main drawback in …

Infrared spectral histopathology for cancer diagnosis: a novel approach for automated pattern recognition of colon adenocarcinoma

J Nallala, MD Diebold, C Gobinet, O Bouché… - Analyst, 2014 - pubs.rsc.org
Histopathology remains the gold standard method for colon cancer diagnosis. Novel
complementary approaches for molecular level diagnosis of the disease are need of the …

Diagnosis of colorectal cancer by near-infrared optical fiber spectroscopy and random forest

H Chen, Z Lin, H Wu, L Wang, T Wu, C Tan - Spectrochimica Acta Part A …, 2015 - Elsevier
Near-infrared (NIR) spectroscopy has such advantages as being noninvasive, fast, relatively
inexpensive, and no risk of ionizing radiation. Differences in the NIR signals can reflect …