Advanced mass spectrometric and spectroscopic methods coupled with machine learning for in vitro diagnosis

X Chen, W Shu, L Zhao, J Wan - View, 2023 - Wiley Online Library
In vitro diagnosis (IVD) is one vital component of medical tests that detects biological
samples of tissues or bio‐fluids. Recently, mass spectrometry and spectroscopy have been …

[HTML][HTML] Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy

M Vlocskó, J Piffkó, Á Janovszky - Cancers, 2023 - mdpi.com
Simple Summary Several factors may influence the outcome of a patient with cancer,
including oral cancer. Modern diagnostic tools have had a great impact on the success of …

Dynamic response and discrimination of gaseous sarin using a boron‐difluoride complex film‐based fluorescence sensor

Z Zhou, L Zhang, L Peng, Y Li, X Zhu, Y Wu, Z Qiu… - …, 2024 - Wiley Online Library
This study presents a novel boron‐difluoride complex‐based fluorescent nanofilm sensor
capable of detecting sarin vapors in the environment by reporting an output fluorescence …

Machine Learning Enabled Photoacoustic Spectroscopy for Noninvasive Assessment of Breast Tumor Progression In Vivo: A Preclinical Study

J Rodrigues, A Amin, S Chandra, NJ Mulla… - ACS …, 2024 - ACS Publications
Breast cancer is a dreaded disease affecting women the most in cancer-related deaths over
other cancers. However, early diagnosis of the disease can help increase survival rates. The …

Label-free visualization of unfolding and crosslinking mediated protein aggregation in nonenzymatically glycated proteins

DC Mukunda, S Basha, MG D'Souza, S Chandra… - Analyst, 2024 - pubs.rsc.org
Nonenzymatic glycation (NEG) unfolds and crosslinks proteins, resulting in aggregation.
Label-free evaluation of such structural changes, without disturbing molecular integrity …

Tensor product based 2-D correlation data preprocessing methods for Raman spectroscopy of Chinese handmade paper

C Yan, S Luo, L Cao, Z Cheng, H Zhang - Spectrochimica Acta Part A …, 2023 - Elsevier
The paper introduces two new methods, namely the cross correlation method (CCM) and
two-dimensional correlation method (TDCM), for preprocessing Raman spectroscopy data …

Protein classification by autofluorescence spectral shape analysis using machine learning

DC Mukunda, J Rodrigues, S Chandra, N Mazumder… - Talanta, 2024 - Elsevier
Depending on the relative numbers and spatial arrangement of Tryptophan (Trp; W) and
Tyrosine (Tyr; Y) residues, different proteins produce distinct autofluorescence (AF) spectral …

Covalent organic framework linked with amination luminol derivative as enhanced ECL luminophore for ultrasensitive analysis of cytochrome c

L Shen, YW Wang, HY Shan, J Chen, AJ Wang… - Analytical …, 2022 - pubs.rsc.org
Cytochrome c (cyt c) plays a critical role in mitochondrial respiratory chain, whose absence
is detrimental to electron transport and reduce adenosine triphosphate. For ultrasensitive …

Application of modulated optical excitation in the investigation and cure of diseases

KK Mahato, V Prabhu, J Rodrigues… - Photoacoustic and …, 2023 - Elsevier
Various optical phenomena such as reflection, scattering, absorption, fluorescence, etc.,
occur when light strikes a tissue surface. Investigation of light-tissue interactions thus can be …

Research in laser dentistry: Current and novel treatments and theranostics

CDS Laser, CD Surgical - … and Practice of Laser Dentistry-E …, 2022 - books.google.com
New technologies have redefined dentistry in recent years. The field of biophotonics has
grown rapidly, impacting illumination, imaging, computer-aided design/computer-aided …