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Essentiality, protein–protein interactions and evolutionary properties are key predictors for identifying cancer-associated genes using machine learning
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Deep learning prediction of renal anomalies for prenatal ultrasound diagnosis
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Robust identification of interactions between heat-stress responsive genes in the chicken brain using Bayesian networks and augmented expression data
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Joint transformer architecture in brain 3D MRI classification: its application in Alzheimer’s disease classification
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A decision support system based on recurrent neural networks to predict medication dosage for patients with Parkinson's disease
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Deep learning assists in acute leukemia detection and cell classification via flow cytometry using the acute leukemia orientation tube
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Enhancing missense variant pathogenicity prediction with protein language models using VariPred
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Advanced disk herniation computer aided diagnosis system
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Enhancing fracture diagnosis in pelvic X-rays by deep convolutional neural network with synthesized images from 3D-CT
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Fairness and bias correction in machine learning for depression prediction across four study populations
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AI is a viable alternative to high throughput screening: a 318-target study
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Prediction model for spinal cord injury in spinal tuberculosis patients using multiple machine learning algorithms: a multicentric study
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Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson’s disease behavioral analysis
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Utilizing ultra-early continuous physiologic data to develop automated measures of clinical severity in a traumatic brain injury population
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Murmur identification and outcome prediction in phonocardiograms using deep features based on Stockwell transform
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Revolutionizing heart disease prediction with quantum-enhanced machine learning
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Myocardial scar and left ventricular ejection fraction classification for electrocardiography image using multi-task deep learning
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Detection of biomagnetic signals from induced pluripotent stem cell-derived cardiomyocytes using deep learning with simulation data
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Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide images
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High-capacity data hiding for medical images based on the mask-RCNN model
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Detecting abnormal cell behaviors from dry mass time series
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Comparison of the effectiveness of different normalization methods for metagenomic cross-study phenotype prediction under heterogeneity
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Integrated image and location analysis for wound classification: a deep learning approach
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Using novel micropore technology combined with artificial intelligence to differentiate Staphylococcus aureus and Staphylococcus epidermidis
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Prediction uncertainty estimates elucidate the limitation of current NSCLC subtype classification in representing mutational heterogeneity
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Automated body organ segmentation, volumetry and population-averaged atlas for 3D motion-corrected T2-weighted fetal body MRI
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Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images
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Clustering analysis for the evolutionary relationships of SARS-CoV-2 strains
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Lesion-conditioning of synthetic MRI-derived subtraction-MIPs of the breast using a latent diffusion model
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Identification of a hyperinflammatory sepsis phenotype using protein biomarker and clinical data in the ProCESS randomized trial
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Identifying microRNAs associated with tumor immunotherapy response using an interpretable machine learning model
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High-performance prediction of epilepsy surgical outcomes based on the genetic neural networks and hybrid iEEG marker
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Predicting early Alzheimer’s with blood biomarkers and clinical features
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Machine learning insights into thrombo-ischemic risks and bleeding events through platelet lysophospholipids and acylcarnitine species
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A pilot observation using ultrasonography and vowel articulation to investigate the influence of suspected obstructive sleep apnea on upper airway
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Twitter users perceptions of AI-based e-learning technologies
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Generalizable disease detection using model ensemble on chest X-ray images
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Prediction of neovascular age-related macular degeneration recurrence using optical coherence tomography images with a deep neural network
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Machine learning developed a CD8+ exhausted T cells signature for predicting prognosis, immune infiltration and drug sensitivity in ovarian cancer
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Sentiment analysis of video danmakus based on MIBE-RoBERTa-FF-BiLSTM
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A graph convolutional network with dynamic weight fusion of multi-scale local features for diabetic retinopathy grading
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Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio
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A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals
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Kernel Bayesian nonlinear matrix factorization based on variational inference for human–virus protein–protein interaction prediction
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Uncertainty-aware deep learning for trustworthy prediction of long-term outcome after endovascular thrombectomy
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Critical evaluation of artificial intelligence as a digital twin of pathologists for prostate cancer pathology
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Long extrachromosomal circular DNA identification by fusing sequence-derived features of physicochemical properties and nucleotide distribution patterns