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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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
Histopathology remains the gold standard method for colon cancer diagnosis. Novel
complementary approaches for molecular level diagnosis of the disease are need of the …
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 …
inexpensive, and no risk of ionizing radiation. Differences in the NIR signals can reflect …