Artificial Intelligence Medical Compendium

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

Showing 971 to 980 of 6,689 articles

Identification of MEG3 and MAPK3 as potential therapeutic targets for osteoarthritis through multiomics integration and machine learning.

Scientific reports Jul 2, 2025
Knee osteoarthritis (KOA) is a prevalent degenerative joint disorder, yet its underlying molecular mechanisms remain puzzling. This study aimed to uncover the genes with a causal relationship to KOA using Mendelian randomization (MR), transcriptomic ... read more 
Humans Machine Learning Gene Expression Profiling Genome-Wide Association Study ROC Curve Multiomics RNA, Long Noncoding Mendelian Randomization Analysis Osteoarthritis, Knee Quantitative Trait Loci Mitogen-Activated Protein Kinase 3

Printed multiple input multiple output antennas powered by passive metamaterial and defected ground for diverse sixth generation applications.

Scientific reports Jul 2, 2025
The evolution of 6th generation (6G) wireless technology has become imperative due to the exponential growth of wireless devices and applications. In a macro-cellular scenario, the 6 GHz electromagnetic spectrum is projected to be the framework for 6... read more 

Enhancing gas concentration prediction and ventilation efficiency in deep coal mines: a hybrid DL-Koopman and Fuzzy-PID framework.

Scientific reports Jul 2, 2025
With the increasing depth of coal mining operations, traditional ventilation systems are becoming insufficient to address the growing safety and operational challenges, particularly in dynamic underground environments. To enhance the sustainability a... read more 

Hybrid-YOLOv5 for object detection of non-ferrous metals in end-of-life vehicles.

Scientific reports Jul 2, 2025
In recent years, the detection of non-ferrous metals in end-of-life vehicles (ELVs) has become essential for improving recycling in the circular economy. Traditional methods struggle with accurate detection due to the variety of metals and challengin... read more 

The effectiveness of explainable AI on human factors in trust models.

Scientific reports Jul 2, 2025
Explainable AI has garnered significant traction in science communication research. Prior empirical studies have firmly established that explainable AI communication could improve trust in AI and that trust in AI engineers was argued to be an under-e... read more 
Humans Artificial Intelligence Female Adult Communication Male Trust Middle Aged Surveys and Questionnaires Models, Theoretical Singapore Public Opinion

Dynamic mode decomposition for analysis and prediction of metabolic oscillations from time-lapse imaging of cellular autofluorescence.

Scientific reports Jul 2, 2025
Oscillations are a common phenomenon in cell biology. They are based on non-linear coupling of biochemical reactions and can show rich dynamic behavior as found in, for example, glycolysis of yeast cells. Here, we show that dynamic mode decomposition... read more 
Humans Machine Learning Algorithms Glycolysis Glucose Saccharomyces cerevisiae Optical Imaging NAD Time-Lapse Imaging

Machine learning-based analysis on pharmaceutical compounds interaction with polymer to estimate drug solubility in formulations.

Scientific reports Jul 2, 2025
This study introduces a sophisticated predictive framework for determining drug solubility and activity values in formulations via machine learning. The framework utilizes a comprehensive dataset consisting of more than 12,000 data rows and 24 input ... read more 
Machine Learning Algorithms Polymers Pharmaceutical Preparations Solubility

Data-driven approach to the deep learning of the dynamics of a non-integrable Hamiltonian system.

Scientific reports Jul 2, 2025
The dynamics of non-integrable Hamiltonian systems, described by area-preserving mappings, are regulated by the KAM theorem. This states that the phase space of the system is made up of interwoven sets of regular and chaotic dynamics, whose extent de... read more 

Predicting co-word links via heterogeneous graph convolutional networks.

Scientific reports Jul 2, 2025
Co-word analysis, which explores the co-occurrence of key terminology within a specific field, is a valuable tool for identifying research themes and their networks. Leveraging the booming machine learning models, link prediction in co-word networks ... read more 

False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

Scientific reports Jul 2, 2025
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation strategy agai... read more 
Humans Machine Learning Algorithms Electronic Health Records ROC Curve False Positive Reactions Computer Security Federated Learning
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