AIMC Topic: Humans

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Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules.

Scientific reports Aug 11, 2025
Microinvasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) require distinct treatment strategies and are associated with different prognoses, underscoring the importance of accurate differentiation. This study aims to develop a predictive m...
Adenocarcinoma of Lung Male Middle Aged Deep Learning ROC Curve Humans Female Retrospective Studies Lung Neoplasms Tomography, X-Ray Computed Aged Neoplasm Invasiveness Radiomics
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MESM: integrating multi-source data for high-accuracy protein-protein interactions prediction through multimodal language models.

BMC biology Aug 11, 2025
BACKGROUND: Protein-protein interactions (PPIs) play a critical role in essential biological processes such as signal transduction, enzyme activity regulation, cytoskeletal structure, immune responses, and gene regulation. However, current methods ma...
Saccharomyces cerevisiae Humans Deep Learning Protein Interaction Mapping Neural Networks, Computer Protein Interaction Maps Databases, Protein
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Enhancing synthetic pelvic CT generation from CBCT using vision transformer with adaptive fourier neural operators.

Biomedical physics & engineering express Aug 11, 2025
This study introduces a novel approach to improve Cone Beam CT (CBCT) image quality by developing a synthetic CT (sCT) generation method using CycleGAN with a Vision Transformer (ViT) and an Adaptive Fourier Neural Operator (AFNO).A dataset of 20 pro...
Radiosurgery Fourier Analysis Algorithms Male Cone-Beam Computed Tomography Humans Pelvis Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Image Processing, Computer-Assisted Prostatic Neoplasms
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Enhancing meningioma tumor classification accuracy through multi-task learning approach and image analysis of MRI images.

PloS one Aug 11, 2025
BACKGROUND: Accurate classification of meningioma brain tumors is crucial for determining the appropriate treatment plan and improving patient outcomes. However, this task is challenging due to the slow-growing nature of these tumors and the potentia...
Machine Learning Image Processing, Computer-Assisted Meningeal Neoplasms Humans Magnetic Resonance Imaging Male Female Aged Meningioma Middle Aged Adult Deep Learning
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A rolling bearing fault diagnosis method based on an improved parallel one-dimensional convolutional neural network.

PloS one Aug 11, 2025
As a critical component of industrial equipment, the fault diagnosis of rolling bearings is essential for reducing unplanned downtime and improving equipment reliability. Existing methods achieve an accuracy of no more than 92% in low signal-to-noise...
Humans Neural Networks, Computer Signal-To-Noise Ratio Algorithms Convolutional Neural Networks
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A novel multi-modal retrieval framework for tracking vehicles using natural language descriptions.

PloS one Aug 11, 2025
Recent advances in multimodal and contrastive learning have significantly enhanced image and video retrieval capabilities. This fusion provides numerous opportunities for multi-dimensional and multi-view retrieval, especially in multi-camera surveill...
Humans Algorithms Motor Vehicles Natural Language Processing Video Recording
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Identifying melanoma among benign simulators - Is there a role for deep learning convolutional neural networks? (MelSim Study).

European journal of cancer (Oxford, England : 1990) Aug 10, 2025
IMPORTANCE: Early detection of cutaneous melanoma (CM) is crucial for patient survival, yet avoiding overdiagnosis remains essential. Differentiating CM from benign melanoma simulators (MelSim) is challenging due to overlapping features. Deep learnin...
Sensitivity and Specificity Cross-Sectional Studies Male Skin Neoplasms Dermoscopy Adult ROC Curve Early Detection of Cancer Diagnosis, Differential Dermatologists Middle Aged Deep Learning Convolutional Neural Networks Female Melanoma Humans Neural Networks, Computer
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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). ...
Male Magnetic Resonance Imaging Alcoholism Female Young Adult Adult Alcohol Drinking Connectome Nerve Net Humans Brain
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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).
Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Hematoma Middle Aged Signal-To-Noise Ratio Cerebral Hemorrhage Generative Adversarial Networks Radiographic Image Interpretation, Computer-Assisted Female Aged Male
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Predicting Antibody-Antigen Interactions with Structure-Aware LLMs: Insights from SARS-CoV-2 Variants.

Journal of chemical information and modeling Aug 10, 2025
Predicting antibody-antigen interactions is a critical step in developing new therapeutics to defend against viral infections. However, measuring the extent of these interactions is costly and time-consuming. With the increased availability of exper...
Protein Binding Antibodies, Viral Spike Glycoprotein, Coronavirus Antibodies, Neutralizing Antigen-Antibody Reactions Machine Learning COVID-19 SARS-CoV-2 Humans
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