AIMC Topic: Female

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Compositional transformations can reasonably introduce phenotype-associated values into sparse features.

mSystems May 2, 2025
UNLABELLED: Gihawi et al. (mBio 14:e01607-23, 2023, https://doi.org/10.1128/mbio.01607-23) argued that the analysis of tumor-associated microbiome data by Poore et al. (Nature 579:567-574, 2020, https://doi.org/10.1038/s41586-020-2095-1) is invalid b...
Machine Learning Female Phenotype Microbiota Humans
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Testing theories of political persuasion using AI.

Proceedings of the National Academy of Sciences of the United States of America May 2, 2025
Despite its importance to society and many decades of research, key questions about the social and psychological processes of political persuasion remain unanswered, often due to data limitations. We propose that AI tools, specifically generative lar...
Artificial Intelligence Female Adult Attitude Humans Male Politics Persuasive Communication
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Ensemble Learning-Based Alzheimer's Disease Classification Using Electroencephalogram Signals and Clock Drawing Test Images.

Sensors (Basel, Switzerland) May 2, 2025
Ensemble learning (EL), a machine learning technique that combines the results of multiple learning algorithms to obtain predicted values, aims to achieve better predictive performance than a single learning algorithm alone. Machine learning techniqu...
Humans Machine Learning Algorithms Female Alzheimer Disease Aged Ensemble Learning Male Electroencephalography
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GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma.

International journal of molecular sciences May 2, 2025
Glioblastoma (GBM) is a fatal brain cancer known for its rapid and aggressive growth, with some studies indicating that females may have better survival outcomes compared to males. While sex differences in GBM have been observed, the underlying biolo...
Metabolomics Metabolome Glioblastoma Machine Learning Sex Characteristics Humans Middle Aged Female Aged Proteomics Brain Neoplasms Sex Factors Proteome Adult Male Biomarkers, Tumor
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Data-driven machine learning algorithm model for pneumonia prediction and determinant factor stratification among children aged 6-23 months in Ethiopia.

BMC infectious diseases May 2, 2025
INTRODUCTION: Pneumonia is the leading cause of child morbidity and mortality and accounts for 5.6 million under-five child deaths. Pneumonia has a significant impact on the quality of life, the country's economy, and the survival of children. Theref...
Female Infant Ethiopia Risk Factors Humans Pneumonia Male Machine Learning Algorithms
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Detecting the left atrial appendage in CT localizers using deep learning.

Scientific reports May 2, 2025
Patients with cardioembolic stroke often undergo CT of the left atrial appendage (LAA), for example, to determine whether thrombi are present in the LAA. To guide the imaging process, technologists first perform a localizer scan, which is a prelimina...
Male Humans Embolic Stroke Middle Aged Female Atrial Appendage Retrospective Studies Aged Deep Learning Tomography, X-Ray Computed Aged, 80 and over
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Comparison between logistic regression and machine learning algorithms on prediction of noise-induced hearing loss and investigation of SNP loci.

Scientific reports May 2, 2025
To compare the comprehensive performance of conventional logistic regression (LR) and seven machine learning (ML) algorithms in Noise-Induced Hearing Loss (NIHL) prediction, and to investigate the single nucleotide polymorphism (SNP) loci significant...
Polymorphism, Single Nucleotide Logistic Models Hearing Loss, Noise-Induced Neural Networks, Computer Adult Machine Learning Male Algorithms Humans Middle Aged Female
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Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach.

JMIR cancer May 2, 2025
BACKGROUND: Cancer is a life-threatening disease and a leading cause of death worldwide, with an estimated 611,000 deaths and over 2 million new cases in the United States in 2024. The rising incidence of major cancers, including among younger indivi...
Humans Machine Learning Electronic Health Records Aged Adult Female Risk Factors United States Early Detection of Cancer Male Middle Aged Neoplasms
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A depression detection approach leveraging transfer learning with single-channel EEG.

Journal of neural engineering May 2, 2025
Major depressive disorder (MDD) is a widespread mental disorder that affects health. Many methods combining electroencephalography (EEG) with machine learning or deep learning have been proposed to objectively distinguish between MDD and healthy indi...
Depressive Disorder, Major Deep Learning Electroencephalography Female Adult Male Humans Neural Networks, Computer Machine Learning
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Visualizing functional network connectivity differences using an explainable machine-learning method.

Physiological measurement May 2, 2025
. Functional network connectivity (FNC) estimated from resting-state functional magnetic resonance imaging showed great information about the neural mechanism in different brain disorders. But previous research has mainly focused on standard statisti...
Male Middle Aged Image Processing, Computer-Assisted Aged Young Adult Adult Magnetic Resonance Imaging Schizophrenia Nerve Net Brain Female Humans Machine Learning
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