AI Medical Compendium Journal:
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

Showing 11 to 20 of 184 articles

CWBLS network and its application in portable spectral measurement.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 3, 2025
The research presents a novel approach called the D-CWBLS network to address the challenges of poor accuracy and stability in regression models caused by low-signal-to-noise-ratio and low reproducibility data in portable near-infrared spectroscopy. T...
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Compositional analysis of alternative protein blends using near and mid-infrared spectroscopy coupled with conventional and machine learning algorithms.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 25, 2025
The non-invasive real-time analysis of the composition of alternative, plant-based protein sources is important to control high moisture extrusion processes and ensure the quality and texture of the final extrudates used in the elaboration of meat an...
Least-Squares Analysis Discriminant Analysis Glutens Spectrophotometry, Infrared Neural Networks, Computer Plant Proteins Spectroscopy, Near-Infrared Machine Learning Support Vector Machine Algorithms
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Deciphering the molecular fingerprint of haemoglobin in lung cancer: A new strategy for early diagnosis using two-trace two-dimensional correlation near infrared spectroscopy (2T2D-NIRS) and machine learning techniques.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 23, 2025
Lung cancer remains one of the deadliest malignancies worldwide, highlighting the need for highly sensitive and minimally invasive early diagnostic methods. Near-infrared spectroscopy (NIRS) offers unique advantages in probing molecular vibrational i...
Hemoglobins Wavelet Analysis Middle Aged Female Case-Control Studies Aged Lung Neoplasms Male Early Detection of Cancer Humans Spectroscopy, Near-Infrared Machine Learning
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A machine learning-based nuclear magnetic resonance profiling model to authenticate 'Jerez-Xérès-Sherry' wines.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 23, 2025
Traditionally, wine quality and certification have been assessed through sensory analysis by trained tasters. However, this method has the limitation of relying on highly specialized individuals who are typically trained to evaluate only specific typ...
Magnetic Resonance Spectroscopy Machine Learning Wine
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Vibrational spectroscopy of body fluids combined with machine learning for the early diagnosis of cystic echinococcosis.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 17, 2025
Cystic echinococcosis (CE) is a globally prevalent zoonotic parasitic disease. Due to the covert symptoms and the inadequacies of screening technologies, accurate early diagnosis is crucial. This study explores the feasibility of employing body fluid...
Spectroscopy, Fourier Transform Infrared Body Fluids Early Diagnosis Spectrum Analysis, Raman Support Vector Machine Echinococcosis Machine Learning Animals Mice Biomarkers
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Precise classification of traditional Chinese medicine sources using intelligent fusion of hyperspectral imaging-mass spectrometry data combined with machine learning: A case study of American ginseng.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 17, 2025
The application of artificial intelligence in traditional Chinese medicine (TCM) has become a hot topic in the scientific community. American ginseng (AG), a perennial herb with a rich history, is widely utilized in clinical settings due to its diver...
Algorithms Medicine, Chinese Traditional Drugs, Chinese Herbal Machine Learning Hyperspectral Imaging Chromatography, High Pressure Liquid Panax Tandem Mass Spectrometry
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Rapid diagnosis of lung cancer by multi-modal spectral data combined with deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 6, 2025
Lung cancer is a malignant tumor that poses a serious threat to human health. Existing lung cancer diagnostic techniques face the challenges of high cost and slow diagnosis. Early and rapid diagnosis and treatment are essential to improve the outcome...
Spectrometry, Fluorescence Humans Spectrophotometry, Ultraviolet Neural Networks, Computer Lung Neoplasms Spectroscopy, Fourier Transform Infrared Deep Learning
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Model updating strategy study about sex identification of silkworm pupae using transfer learning and NIR spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 5, 2025
This paper proposes a novel model updating strategy named SilkwormNet for the first time to address the sex discrimination problem of silkworm pupae with new species. SilkwormNet integrates a ResNet block, a multi-head attention mechanism, and a Sche...
Machine Learning Female Animals Bombyx Sex Determination Analysis Pupa Male Spectroscopy, Near-Infrared
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Leveraging infrared spectroscopy for cocoa content prediction: A dual approach with Kohonen neural network and multivariate modeling.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 28, 2025
People of all ages enjoy chocolate, and its popularity is attributed to its pleasant taste and aroma, as well as its associated health benefits. Produced through both artisanal and industrial processes, which involve harvesting, selecting, fermenting...
Cacao Chocolate Principal Component Analysis Neural Networks, Computer Multivariate Analysis Spectroscopy, Near-Infrared
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Unveiling the potential of Brachiaria ruziziensis: Comparative analysis of multivariate and machine learning models for biomass and NPK prediction using Vis-NIR-SWIR spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 18, 2025
This study investigated the development and validation of predictive models for estimating foliar nitrogen (N), phosphorus (P), and potassium (K) contents, along with shoot dry mass (SDM) of Brachiaria ruziziensis L. The approach utilized Vis-NIR-SWI...
Least-Squares Analysis Nitrogen Biomass Support Vector Machine Multivariate Analysis Potassium Spectroscopy, Near-Infrared Plant Leaves Phosphorus Brachiaria Machine Learning
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