AIMC Journal:
Scientific reports
Showing 581 to 590 of 5342 articles
Exploring new drug treatment targets for immune related bone diseases using a multi omics joint analysis strategy.
Scientific reports
Mar 27, 2025
In the field of treatment and prevention of immune-related bone diseases, significant challenges persist, necessitating the urgent exploration of new and effective treatment methods. However, most existing Mendelian randomization (MR) studies are con...
Constructing an early warning model for elderly sepsis patients based on machine learning.
Scientific reports
Mar 27, 2025
Sepsis is a serious threat to human life. Early prediction of high-risk populations for sepsis is necessary especially in elderly patients. Artificial intelligence shows benefits in early warning. The aim of the study was to construct an early machin...
Artificial intelligence for sustainable farming with dual branch convolutional graph attention networks in rice leaf disease detection.
Scientific reports
Mar 27, 2025
Rice is susceptible to various diseases, including brown spot, hispa, leaf smut, bacterial leaf blight, and leaf blast, all of which can negatively impact crop yields. Current disease detection methods encounter several challenges, such as reliance o...
Predicting badminton outcomes through machine learning and technical action frequencies.
Scientific reports
Mar 27, 2025
The application of machine learning techniques to predict badminton match outcomes through the analysis of technical actions seems to represent an area that has not yet been extensively investigated within the existing body of research. This study ai...
Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection.
Scientific reports
Mar 27, 2025
The Guided Imagery technique is reported to be used by therapists all over the world in order to increase the comfort of patients suffering from a variety of disorders from mental to oncology ones and proved to be successful in numerous of ways. Poss...
Integrating bioinformatics and machine learning for comprehensive analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric septic shock.
Scientific reports
Mar 26, 2025
This study aims to predict and diagnose pediatric septic shock through the screening of immune infiltration-related biomarkers. Three gene expression datasets were accessible from the Gene Expression Omnibus repository. The differentially expressed g...
Exploring the categories of students' interest and their relationships with deep learning in technology supported environments.
Scientific reports
Mar 26, 2025
Interest is not only the starting point to begin a wonderful learning journey for students, but also an important driver for deep learning and continuous progress. This study used latent profile analysis (LPA), multiple logistic regression analysis, ...
Preliminary evaluation of ChatGPT model iterations in emergency department diagnostics.
Scientific reports
Mar 26, 2025
Large language model chatbots such as ChatGPT have shown the potential in assisting health professionals in emergency departments (EDs). However, the diagnostic accuracy of newer ChatGPT models remains unclear. This retrospective study evaluated the ...
Quantitative prediction of disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learning.
Scientific reports
Mar 26, 2025
Listeria monocytogenes is a potentially severe disease-causing bacteria mainly transmitted through food. This pathogen is of great concern for public health and the food industry in particular. Many countries have implemented thorough regulations, an...
Remote monitoring of Tai Chi balance training interventions in older adults using wearable sensors and machine learning.
Scientific reports
Mar 26, 2025
Tai Chi, an Asian martial art, is renowned for its health benefits, particularly in promoting healthy aging among older adults, improving balance, and reducing fall risk. However, methodological challenges hinder the objective measurement of adherenc...
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