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High-resolution mapping of alcohol-related brain connectivity in adults using 7T fMRI and multivoxel pattern classification.
Psychiatry research. Neuroimaging
Aug 10, 2025
BACKGROUND: Emerging evidence suggests that alcohol use disrupts large-scale brain network interactions, particularly within the triple network model-comprising the Salience Network (SN), Default Mode Network (DMN), and Frontoparietal Network (FPN). ...
Prediction of hematoma changes in spontaneous intracerebral hemorrhage using a Transformer-based generative adversarial network to generate follow-up CT images.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Aug 10, 2025
PURPOSE: To visualize and assess hematoma growth trends by generating follow-up CT images within 24 h based on baseline CT images of spontaneous intracerebral hemorrhage (sICH) using Transformer-integrated Generative Adversarial Networks (GAN).
Improving early detection of Alzheimer's disease through MRI slice selection and deep learning techniques.
Scientific reports
Aug 10, 2025
Alzheimer's disease is a progressive neurodegenerative disorder marked by cognitive decline, memory loss, and behavioral changes. Early diagnosis, particularly identifying Early Mild Cognitive Impairment (EMCI), is vital for managing the disease and ...
Development and validation of a machine learning model for predicting vulnerable carotid plaques using routine blood biomarkers and derived indicators: insights into sex-related risk patterns.
Cardiovascular diabetology
Aug 10, 2025
BACKGROUND: Early detection of vulnerable carotid plaques is critical for stroke prevention. This study aimed to develop a machine learning model based on routine blood tests and derived indices to predict plaque vulnerability and assess sex-specific...
Multi-omics insights of immune cells in the risk and prognosis of idiopathic membranous nephropathy.
Communications biology
Aug 10, 2025
Idiopathic membranous nephropathy (IMN) is the major cause of autoimmune-related nephrotic syndrome. The role immune cells play in the risk and prognosis of IMN remains elusive. We employ multi-omics data and a variety of approaches to evaluate the c...
FGDN: A Federated Graph Convolutional Network framework for multi-site major depression disorder diagnosis.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Aug 9, 2025
The vast amount of healthcare data is characterized by its diversity, dynamic nature, and large scale. It is a challenge that directly training a Graph Convolutional Neural Network (GCN) in a multi-site dataset poses to protecting the privacy of Majo...
Human-alignment influences the utility of AI-assisted decision making.
Scientific reports
Aug 9, 2025
Whenever an AI model is used to predict a relevant (binary) outcome in AI-assisted decision making, it is widely agreed that, together with each prediction, the model should provide an AI confidence value. However, it has been unclear why decision ma...
Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese.
Nature communications
Aug 9, 2025
A substantial portion of lung cancer-associated genetic elements in East Asian populations remains unidentified, underscoring the need for large-scale genome-wide studies, particularly on non-coding regulation. We conducted a whole genome sequencing ...
Comprehensive multi-omics analysis reveals the core role of glycerophospholipid metabolism in the influence of short-chain fatty acids on the development of sepsis.
Scientific reports
Aug 9, 2025
Sepsis is a systemic inflammatory response syndrome caused by infection, which has a high morbidity and mortality. Short-chain fatty acids (SCFAs) have been proved to improve the outcome of sepsis by regulating immunity and metabolism, but its specif...
Serum peptide biomarkers by MALDI-TOF MS coupled with machine learning for diagnosis and classification of hepato-pancreato-biliary cancers.
Scientific reports
Aug 9, 2025
This study aimed to investigate the potential of peptide mass fingerprints (PMFs) of the serum peptidome using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), in combination with machine learning algorithm...
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