AI Medical Compendium Journal:
Journal of pharmaceutical and biomedical analysis

Showing 1 to 10 of 45 articles

Pseudotargeted metabolomics profiles potential damage-associated molecular patterns as machine learning predictors for acute pancreatitis.

Journal of pharmaceutical and biomedical analysis Apr 7, 2025
Acute pancreatitis (AP) is a common gastrointestinal disease characterized by pancreatic cell damage and inflammation. Given the early clinical diagnosis and management challenges, exploring novel analytical frameworks from new orientations for inter...
Metabolomics Acute Disease Pancreatitis Machine Learning Biomarkers Female Adult Humans Male Middle Aged ROC Curve Support Vector Machine
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Comprehensive quality evaluation of crude material of Ligusticum chuanxiong Hort. through high performance liquid chromatography coupled with DenseNet-121 assisted hyperspectral imaging and anti-thrombotic zebrafish bioassay.

Journal of pharmaceutical and biomedical analysis Apr 3, 2025
An innovative, integrated strategy was developed for rapid and comprehensive quality assessment of Ligusticum chuanxiong Hort., the key raw material for Guanxinning tablets. This approach simultaneously evaluates both chemical composition and biologi...
Convolutional Neural Networks Drugs, Chinese Herbal Least-Squares Analysis Biological Assay Animals Hyperspectral Imaging Calibration Coumaric Acids Ligusticum Thrombosis Zebrafish Chromatography, High Pressure Liquid Quality Control
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Machine learning enabled protein secondary structure characterization using drop-coating deposition Raman spectroscopy.

Journal of pharmaceutical and biomedical analysis Feb 25, 2025
Protein structure characterization is critical for therapeutic protein drug development and production. Drop-coating deposition Raman (DCDR) spectroscopy offers rapid and cost-effective acquisition of vibrational spectral data characteristic of prote...
Machine Learning Algorithms Spectrum Analysis, Raman Proteins Least-Squares Analysis Protein Structure, Secondary
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Metabolomic machine learning predictor for arsenic-associated hypertension risk in male workers.

Journal of pharmaceutical and biomedical analysis Feb 19, 2025
Arsenic (As)-induced hypertension is a significant public health concern, highlighting the need for early risk prediction. This study aimed to develop a predictive model for occupational As exposure and hypertension using metabolomics and machine lea...
Risk Factors Adult Male Middle Aged Humans Machine Learning Blood Pressure Arsenic Occupational Diseases ROC Curve Occupational Exposure Hypertension Metabolomics
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Integrating hyperspectrograms with class modeling techniques for the construction of an effective expert system: Quality control of pharmaceutical tablets based on near-infrared hyperspectral imaging.

Journal of pharmaceutical and biomedical analysis Jan 26, 2025
Near-infrared hyperspectral imaging (NIR-HSI) integrated with expert systems can support the monitoring of active pharmaceutical ingredients (APIs) and provide effective quality control of tablet formulations. However, existing quality control method...
Drug Compounding Hyperspectral Imaging Chemistry, Pharmaceutical Excipients Spectroscopy, Near-Infrared Particle Size Principal Component Analysis Tablets Quality Control Powders Expert Systems
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Combination of plasma-based lipidomics and machine learning provides a useful diagnostic tool for ovarian cancer.

Journal of pharmaceutical and biomedical analysis Nov 2, 2024
Ovarian cancer (OC), the second leading cause of death among gynecological cancers, is often diagnosed at an advanced stage due to its asymptomatic nature at early stages. This study aimed to explore the diagnostic potential of plasma-based lipidomic...
Lipidomics Ovarian Neoplasms Least-Squares Analysis Discriminant Analysis Carcinoma, Ovarian Epithelial Case-Control Studies ROC Curve Lipids Humans Machine Learning Female Aged Adult Biomarkers, Tumor Middle Aged
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Serum targeted metabolomics uncovering specific amino acid signature for diagnosis of intrahepatic cholangiocarcinoma.

Journal of pharmaceutical and biomedical analysis Sep 2, 2024
Intrahepatic cholangiocarcinoma (iCCA) is a hepatobiliary malignancy which accounts for approximately 5-10 % of primary liver cancers and has a high mortality rate. The diagnosis of iCCA remains significant challenges owing to the lack of specific an...
Cholangiocarcinoma Humans Machine Learning Female Metabolomics Aged Amino Acids Sensitivity and Specificity gamma-Glutamyltransferase Biomarkers, Tumor Bile Duct Neoplasms Male Middle Aged
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Dynamic changes in pyroptosis following spinal cord injury and the identification of crucial molecular signatures through machine learning and single-cell sequencing.

Journal of pharmaceutical and biomedical analysis Aug 26, 2024
The pathological cascade of spinal cord injury (SCI) is highly intricate. The onset of neuroinflammation can exacerbate the extent of damage. Pyroptosis is a form of inflammation-linked programmed cell death (PCD), the inhibition of pyroptosis can pa...
Microglia Machine Learning Pyroptosis Animals Spinal Cord Spinal Cord Injuries Disease Models, Animal Mice, Inbred C57BL Cell Line Neuroinflammatory Diseases Male Single-Cell Analysis Mice
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Amino acid metabolomics and machine learning-driven assessment of future liver remnant growth after hepatectomy in livers of various backgrounds.

Journal of pharmaceutical and biomedical analysis Jul 23, 2024
Accurate assessment of future liver remnant growth after partial hepatectomy (PH) in patients with different liver backgrounds is a pressing clinical issue. Amino acid (AA) metabolism plays a crucial role in liver regeneration. In this study, we comb...
Disease Models, Animal Mice, Inbred C57BL Metabolomics Liver Animals Male Mice Liver Cirrhosis Hepatectomy Liver Regeneration Amino Acids Non-alcoholic Fatty Liver Disease Chromatography, High Pressure Liquid Tandem Mass Spectrometry Machine Learning
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Plasma-based near-infrared spectroscopy for early diagnosis of lung cancer.

Journal of pharmaceutical and biomedical analysis Jul 21, 2024
Lung cancer (LC) continues to be a leading death cause in China, primarily due to late diagnosis. This study aimed to evaluate the effectiveness of using plasma-based near-infrared spectroscopy (NIRS) for LC early diagnosis. A total of 171 plasma sam...
Middle Aged Female Case-Control Studies Support Vector Machine Spectroscopy, Near-Infrared Aged Early Detection of Cancer Lung Neoplasms Adult Least-Squares Analysis Humans Male Machine Learning Algorithms
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