AIMC Topic: Saliva
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Evaluating the added value of salivary hormones in the context of menstrual cycle staging: A machine learning approach and app-implementation.
Psychoneuroendocrinology
Aug 1, 2025
OBJECTIVE: Salivary hormone assessment is commonly used in menstrual cycle studies, but its validity for accurate menstrual cycle staging has been questioned. In the present study, we explore possibilities and limitations of salivary hormone assessme...
Investigating handheld near-infrared spectroscopy for forensic body fluid analysis.
Science & justice : journal of the Forensic Science Society
Jul 1, 2025
Forensic casework and crime scene examination will often involve the identification and analysis of biological evidence found on a wide variety of surfaces. One type of biological evidence most commonly encountered at the crime scene is body fluids, ...
Predictive Analysis of Dental Caries Risk via Rapid Urease Activity Evaluation in Saliva Using a ZIF-8 Nanoporous Membrane.
ACS sensors
Jun 27, 2025
Despite a decrease in the incidence of dental caries over the past four decades, it remains a widespread public health concern. The multifactorial etiology of dental caries complicates effective prevention and early intervention efforts, underscoring...
Extracting True Virus SERS Spectra and Augmenting Data for Improved Virus Classification and Quantification.
ACS sensors
Jun 27, 2025
Surface-enhanced Raman spectroscopy (SERS) is a transformative tool for infectious disease diagnostics, offering rapid and sensitive species identification. However, background spectra in biological samples complicate analyte peak detection, increase...
Rapid and Noninvasive Early Detection of Lung Cancer by Integration of Machine Learning and Salivary Metabolic Fingerprints Using MS LOC Platform: A Large-Scale Multicenter Study.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Jun 1, 2025
Most lung cancer (LC) patients are diagnosed at advanced stages due to the lack of effective screening tools. This multicenter study analyzes 1043 saliva samples (334 LC cases and 709 non-LC cases) using a novel high-throughput platform for metabolic...
Saliva-derived transcriptomic signature for gastric cancer detection using machine learning and leveraging publicly available datasets.
Scientific reports
May 27, 2025
Saliva, a non-invasive, self-collected liquid biopsy, holds promise for early gastric cancer (GC) screening. This study aims to assess the potential of saliva as a proxy for malignant gastric transformation and its diagnostic value through transcript...
Robotic DNA Extraction Utilizing Qiagen BioSprint 96 Workstation.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2023
After an examination of evidentiary or reference samples has been performed, the next step is DNA extraction. This crucial step allows for deoxyribonucleic acid (DNA) to be released from a substrate by use of a series of chemicals and allows the DNA ...
Research on automatic preprocessing equipment of salivary analyte for PCR inspection of coronavirus.
Science progress
Jul 1, 2021
Polymerase chain reaction (PCR) inspection of salivary analyte is performed by pretreatment, RNA extraction setup, RNA extraction, PCR setup, and the PCR process. However, the pretreatment process is conducted manually, and it is a bottleneck to the ...
Optimal ELM-RBF model and SERS Analysis of Saliva for Classification of NS1.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Extreme Learning Machine (ELM) with Radial Basis Function (RBF) Kernel has demonstrated strong capability in pattern recognition and classification problems. NS1 is a biomarker for flavivirus related diseases, where current detection methods are seru...
Screening for Alzheimer's Disease Using Saliva: A New Approach Based on Machine Learning and Raman Hyperspectroscopy.
Journal of Alzheimer's disease : JAD
Jan 1, 2019
BACKGROUND: Alzheimer's disease and related dementias (ADRDs) are being diagnosed at epidemic rates, with incidence to triple from 35 to 115 million cases worldwide. Most ADRDs are characterized by progressive neurodegeneration, and Alzheimer's disea...
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