Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 73,331 to 73,340 of 235,503 articles

From Sim to Treat in Twenty Minutes With Your Artificial Intelligence Copilot.

International journal of radiation oncology, biology, physics Jul 15, 2025
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Nutritionally Responsive PMv DAT Neurons Are Dynamically Regulated During Pubertal Transition.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Jul 15, 2025
Pubertal development is tightly regulated by energy balance. The crosstalk between metabolism and reproduction is orchestrated by complex neural networks, and leptin action in the hypothalamus plays a critical role. The ventral premammillary nucleus ... read more 
Female Animals Male Mice Mice, Inbred C57BL Leptin Neurons Sexual Maturation Receptors, Leptin Kisspeptins Dopaminergic Neurons Dopamine Plasma Membrane Transport Proteins Hypothalamus, Anterior

Exosomal Gene Biomarkers in Osteosarcoma: Mifepristone as a Targeted Therapeutic Revealed by Multi-Omics Analysis.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Jul 15, 2025
Osteosarcoma (OS) is an aggressive bone cancer that mainly occurs in children and adolescents. OS patients are mainly treated with neoadjuvant chemotherapy and surgical resection. This treatment is effective for early osteosarcoma. However, the effec... read more 
Humans Biomarkers, Tumor Molecular Docking Simulation Cell Line, Tumor Multiomics Gene Expression Regulation, Neoplastic Cell Proliferation Osteosarcoma Bone Neoplasms Exosomes

Anti-Symmetric Molecular Graph Learning Approach With Residual Adaptive Network Based Fuzzy Inference System for Lethal Dose Forecasting Problem.

Journal of computational chemistry Jul 15, 2025
In recent times, graph neural networks (GNNs) have become essential tools in molecular graph learning, due to its ability to model intricate structural dependencies. Despite their success, recent research has shown that GNNs still face significant li... read more 

Applying deep learning algorithms for non-invasive estimation of carotenoid content in the foot muscle of Pacific abalone with different colors.

Food chemistry Jul 15, 2025
Carotenoids are vital pigments influencing both the coloration and health of aquatic organisms, particularly in species such as the Pacific abalone (Haliotis discus hannai). In this study, we identified the major carotenoids in abalone foot muscle us... read more 
Animals Deep Learning Color Gastropoda Shellfish Carotenoids Muscles

Intelligent monitoring of fruit and vegetable freshness in supply chain based on 3D printing and lightweight deep convolutional neural networks (DCNN).

Food chemistry Jul 15, 2025
In this study, an innovative intelligent system for supervising the quality of fresh produce was proposed, which combined 3D printing technology and deep convolutional neural networks (DCNN). Through 3D printing technology, sensitive, lightweight, an... read more 
Convolutional Neural Networks Printing, Three-Dimensional Carbon Dioxide Fruit Vegetables Food Storage

Application of artificial intelligence in the rapid determination of moisture content in medicine food homology substances.

Food chemistry Jul 15, 2025
Moisture content is crucial in quality testing of medicine food homology substances. This study aimed to present a new modeling method for moisture content based on near-infrared spectroscopy. When comparing three methods of partial least squares reg... read more 
Neural Networks, Computer Artificial Intelligence Spectroscopy, Near-Infrared Water Food Analysis Least-Squares Analysis

Identification of Fusarium sambucinum species complex by surface-enhanced Raman spectroscopy and XGBoost algorithm.

Food chemistry Jul 15, 2025
Rapid and reliable identification of Fusarium fungi is crucial, due to their role in food spoilage and potential toxicity. Traditional identification methods are often time-consuming and resource-intensive. This study explores the use of surface-enha... read more 
Spectrum Analysis, Raman Fusarium Hordeum Boosting Machine Learning Algorithms

Data integrity of food and machine learning: Strategies, advances and prospective.

Food chemistry Jul 15, 2025
Data integrity is an emerging concept aimed at recording real food properties in the form of data throughout the food lifecycle. However, due to the one-sided nature of current food control data, the comprehensive implementation of data integrity has... read more 
Machine Learning Algorithms Food Analysis

Comprehensive Two-Dimensional Gas Chromatography-Mass Spectrometry for the Analysis of Atmospheric Particulate Matter.

Rapid communications in mass spectrometry : RCM Jul 15, 2025
BACKGROUND: Atmospheric particulate matter (PM) is a complex mixture with a wide range of sources, but only a limited proportion can be identified by existing analytical techniques. Comprehensive two-dimensional gas chromatography-mass spectrometry (... read more 
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