AIMC Journal:
Scientific reports

Showing 191 to 200 of 5092 articles

Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy.

Scientific reports May 15, 2025
Diabetes mellitus (DM) is a chronic metabolic disorder that poses significant challenges to public health. Among its various complications, diabetic nephropathy (DN) emerges as a critical microvascular complication associated with high mortality rate...
Diabetic Nephropathies Computational Biology Kidney Glomerulus Gene Ontology Databases, Genetic Gene Expression Profiling Gene Regulatory Networks Mice Machine Learning Animals Humans
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Machine learning approach for differentiating iron deficiency anemia and thalassemia using random forest and gradient boosting algorithms.

Scientific reports May 15, 2025
Formulas based on red blood cell indices have been used to differentiate between iron deficiency anemia (IDA) and thalassemia (Thal). However, they exhibit varying efficiencies. In this study, we aimed to develop a tool for discriminating between IDA...
Erythrocyte Indices Thalassemia Boosting Machine Learning Algorithms Random Forest Male Anemia, Iron-Deficiency Middle Aged Algorithms Adult Humans Adolescent ROC Curve Female Machine Learning Young Adult Diagnosis, Differential
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Enhancing medical explainability in deep learning for age-related macular degeneration diagnosis.

Scientific reports May 15, 2025
Deep learning models hold significant promise for disease diagnosis but often lack transparency in their decision-making processes, limiting trust and hindering clinical adoption. This study introduces a novel multi-task learning framework to enhance...
Humans Deep Learning Macular Degeneration
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Research on agricultural disease recognition methods based on very large Kernel convolutional network-RepLKNet.

Scientific reports May 15, 2025
Agricultural diseases pose significant challenges to plant production. With the rapid advancement of deep learning, the accuracy and efficiency of plant disease identification have substantially improved. However, conventional convolutional neural ne...
Agriculture Plant Diseases Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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A multi-objective evolutionary algorithm for detecting protein complexes in PPI networks using gene ontology.

Scientific reports May 15, 2025
Detecting protein complexes is crucial in computational biology for understanding cellular mechanisms and facilitating drug discovery. Evolutionary algorithms (EAs) have proven effective in uncovering protein complexes within networks of protein-prot...
Algorithms Gene Ontology Protein Interaction Mapping Computational Biology Saccharomyces cerevisiae Protein Interaction Maps
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End-to-end Chinese clinical event extraction based on large language model.

Scientific reports May 15, 2025
Clinical event extraction is crucial for structuring medical data, supporting clinical decision-making, and enabling other intelligent healthcare services. Traditional approaches for clinical event extraction often use pipeline-based methods to ident...
Humans Natural Language Processing Data Mining Language Large Language Models China Algorithms East Asian People Clinical Decision-Making
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Machine learning for grading prediction and survival analysis in high grade glioma.

Scientific reports May 15, 2025
We developed and validated a magnetic resonance imaging (MRI)-based radiomics model for the classification of high-grade glioma (HGG) and determined the optimal machine learning (ML) approach. This retrospective analysis included 184 patients (59 gra...
Aged Adult Brain Neoplasms Retrospective Studies Female Humans Machine Learning Magnetic Resonance Imaging Neoplasm Grading Male Middle Aged Survival Analysis Glioma
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Advanced internet of things enhanced activity recognition for disability people using deep learning model with nature-inspired optimization algorithms.

Scientific reports May 14, 2025
Human activity recognition has complex applications because of its worldly use of acquisition devices, namely video cameras and smartphones, and its capability to take human activity data. Human activity recognition became a hot scientific subject in...
Internet of Things Persons with Disabilities Smartphone Algorithms Humans Deep Learning
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A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing.

Scientific reports May 14, 2025
Deep learning, particularly convolutional neural networks (CNNs), has proven valuable for brain tumor classification, aiding diagnostic and therapeutic decisions in medical imaging. Despite their accuracy, these models are vulnerable to adversarial a...
Deep Learning Magnetic Resonance Imaging Algorithms Humans Neural Networks, Computer Reproducibility of Results Brain Neoplasms
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Evaluating masked self-supervised learning frameworks for 3D dental model segmentation tasks.

Scientific reports May 14, 2025
The application of deep learning using dental models is crucial for automated computer-aided treatment planning. However, developing highly accurate models requires a substantial amount of accurately labeled data. Obtaining this data is challenging, ...
Humans Deep Learning Tooth Imaging, Three-Dimensional Models, Dental Supervised Machine Learning
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