AIMC Topic: Spectrum Analysis, Raman
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A novel approach to smart-assisted schizophrenia screening based on Raman spectroscopy and deep learning.
Scientific reports
Aug 5, 2025
In this study, serum Raman spectra are introduced into the screening of schizophrenia. We collect serum Raman spectra from schizophrenic and healthy individuals, classified them based on four convolutional neural networks, and developed an assisted s...
NAFLD progression in metabolic syndrome: a Raman spectroscopy and machine learning approach in an animal model.
The Analyst
Aug 4, 2025
Nonalcoholic fatty liver disease (NAFLD) is emerging as the leading cause of chronic liver disease in many regions, particularly in association with the rising prevalence of Metabolic syndrome (MetS), affecting more than 30% of the population worldwi...
Fast identification of influenza using label-free SERS combined with machine learning algorithms clinical nasal swab samples.
Analytical methods : advancing methods and applications
Jul 24, 2025
Influenza virus outbreaks, which have become more frequent in recent years, have attracted global attention. Reverse transcription-polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA), as the "gold standard" methods for vi...
Overcoming Fluorescence Interference: "Planar Hotspot" Substrates for Vitamin B Detection with SERS.
Analytical chemistry
Jul 17, 2025
Surface-enhanced Raman scattering (SERS) has demonstrated remarkable potential for molecular detection due to its specificity. However, detecting fluorescent vitamin B molecules remains challenging due to fluorescence interference and weak Raman cros...
Discrimination of Dengue Diseases in Children Using Surface-Enhanced Raman Spectroscopy Coupled with Machine Learning Approaches.
Analytical chemistry
Jul 7, 2025
This study introduces a novel approach to dengue diagnostics by leveraging surface-enhanced Raman spectroscopy (SERS) coupled to machine learning. This method addresses the critical need for rapid and accurate identification of dengue virus (DENV) in...
Dual-Mode SERS Lateral Flow Aptamer Assay with Machine Learning-Driven Highly Sensitive Interferon-γ Detection.
ACS synthetic biology
Jul 7, 2025
Interferon-γ (IFN-γ), a key pro-inflammatory cytokine, is widely recognized as a critical biomarker for diagnosing and monitoring various immune-related conditions. However, its typically low concentrations in biological fluids─at the picogram-per-mi...
Multimodal Optical Imaging Combined with Radiomic Analysis for Fibrotic Cardiac Tissue Investigation.
Analytical chemistry
Jul 5, 2025
Understanding the process of fibrotic scarring of the myocardium is critical for the diagnosis and risk stratification of life-threatening cardiac dysfunction. Complex changes in structure, composition, and conductivity occurring at different stages ...
Fluorescence Guided Raman Spectroscopy enables the training of robust support vector machines for the detection of tumour marker proteins.
Scientific reports
Jul 3, 2025
Raman spectroscopy provides comprehensive biochemical information on a sample's composition, yet it is often used to analyze aggregated spectra rather than specific shifts. We introduce Fluorescence Guided Raman Spectroscopy (FGRS) as a methodology e...
Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application.
Scientific reports
Jul 2, 2025
A combined methodology was performed based on chemometrics and machine learning regressive models in estimation of polysaccharide-coated colonic drug delivery. The release of medication was measured using Raman spectroscopy and the data was used for ...
Fabrication of serum-based SERS-tailored 3D structures for thyroid cancer diagnosis.
Scientific reports
Jul 1, 2025
Early detection of thyroid cancer improves patient survival rate from 51.9% to 99.9%. Fine needle aspiration cytology is the primary method for diagnosing thyroid cancer; however, this method is associated with limitations, including diagnostic uncer...
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