AIMC Topic: Humans

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Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types.

Scientific reports Jul 2, 2025
Breast cancer is the most prevalent and lethal form of cancer being the utmost common medical concern of women. Breast cancer etiology implicates numerous cellular protein receptors such as estrogen receptors (ER), progesterone receptors (PR), and hu...
Receptor, ErbB-2 Female Humans Breast Neoplasms Gene Expression Profiling Prognosis Gene Expression Regulation, Neoplastic Biomarkers, Tumor Transcriptome Triple Negative Breast Neoplasms Gene Regulatory Networks Support Vector Machine
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A human activity recognition model based on deep neural network integrating attention mechanism.

Scientific reports Jul 2, 2025
Human Activity Recognition (HAR) is crucial in multiple fields. Existing HAR techniques include manual feature extraction, codebook-based methods, and deep learning, each with limitations. This paper presents DCAM-Net (DeepConvAttentionMLPNet), a nov...
Neural Networks, Computer Algorithms Male Human Activities Deep Learning Humans Smartphone Attention
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LSTM autoencoder based parallel architecture for deepfake audio detection with dynamic residual encoding and feature fusion.

Scientific reports Jul 2, 2025
With the rapid advancement of synthetic speech technologies, detecting deepfake audio has become essential for preventing impersonation and misinformation. This study aims to enhance detection performance by addressing limitations in existing models,...
Speech Voice Autoencoder Algorithms Deep Learning Humans Neural Networks, Computer
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A dual path graph neural network framework for dementia diagnosis.

Scientific reports Jul 2, 2025
Dementia typically results from damage to neural pathways and the consequent degeneration of neuronal connections. Graph neural networks (GNNs) have been widely employed to model complex brain networks. However, leveraging the complementary temporal,...
Humans Brain Neural Networks, Computer Dementia Algorithms Nerve Net Magnetic Resonance Imaging Graph Neural Networks
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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 ...
Quantitative Trait Loci Genome-Wide Association Study Mitogen-Activated Protein Kinase 3 ROC Curve Humans RNA, Long Noncoding Multiomics Machine Learning Mendelian Randomization Analysis Gene Expression Profiling Osteoarthritis, Knee
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A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX).

Scientific reports Jul 2, 2025
Generative Counterfactual Explainable Artificial Intelligence (XAI) offers a novel approach to understanding how AI models interpret electrocardiograms (ECGs). Traditional explanation methods focus on highlighting important ECG segments but often fai...
Female Male Electrocardiography Atrial Fibrillation Humans Artificial Intelligence Algorithms
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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...
Glucose Saccharomyces cerevisiae Optical Imaging Algorithms Glycolysis NAD Time-Lapse Imaging Humans Machine Learning
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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...
Artificial Intelligence Female Adult Humans Models, Theoretical Trust Singapore Middle Aged Surveys and Questionnaires Public Opinion Communication Male
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Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction.

Scientific reports Jul 2, 2025
Content-based image retrieval (CBIR) systems have formidable obstacles in connecting human comprehension with machine-driven feature extraction due to the exponential expansion of visual data across many areas. Robust performance across varied datase...
Information Storage and Retrieval Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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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...
Humans Machine Learning False Positive Reactions Algorithms Computer Security Electronic Health Records Federated Learning ROC Curve
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