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BioReX: Biomarker Information Extraction Inspired by Aspect-Based Sentiment Analysis
Biomarkers are critical in cancer diagnosis, prognosis, and treatment planning. However, this information is often buried in unstructured text form.... -
HBS–STACK: hierarchical biomarker selection and stacked ensemble model for biomarker identification and cancer prediction on multi-omics
Genomic and transcriptomic data development has provided new prospects for biomarker identification and cancer prediction. However, it is challenging...
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Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis Based on Three-Dimensional Ultrasound Imaging
We developed an interpretable deep biomarker known as Siamese change biomarker generation network (SCBG-Net) to evaluate the effects of therapies on... -
Leveraging Handwriting Impairment as a Biomarker for Early Parkinson’s Disease Diagnosis
Parkinson’s Disease (PD) is a progressive neurodegenerative condition that significantly impacts motor function, leading to symptoms such as tremors,... -
A Feature Pyramid Fusion Network Based on Dynamic Perception Transformer for Retinal OCT Biomarker Image Segmentation
OCT biomarkers are important for assessing the developmental stages of retinal diseases. However, the biomarkers show diverse and irregular features... -
Clinical Trial Histology Image Based End-to-End Biomarker Expression Levels Prediction and Visualization Using Constrained GANs
The gold standard for diagnosing cancer is through pathological examination. This typically involves the utilization of staining techniques such as... -
PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation
Introduction: Blood vessels can be non-invasively visualized from a digital fundus image (DFI). Several studies have shown an association between... -
BEST: a web application for comprehensive biomarker exploration on large-scale data in solid tumors
Data mining from RNA-seq or microarray data has become an essential part of cancer biomarker exploration. Certain existing web servers are valuable...
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sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering
The Event Based Model (EBM) is a probabilistic generative model to explore biomarker changes occurring as a disease progresses. Disease progression... -
RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery
The brain is a highly complex multigraph that presents different types of connectivities (i.e., edge types) linking pairs of anatomical regions. Each... -
State-sensitive convolutional sparse coding for potential biomarker identification in brain signals
The identification of prototypical waveforms, such as sleep spindles and epileptic spikes, is crucial for the diagnosis of neurological disorders....
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iMVAN: integrative multimodal variational autoencoder and network fusion for biomarker identification and cancer subtype classification
Numerous research has been conducted to define the molecular and clinical aspects of various tumors from a multi-omics point of view. However, there...
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Plectin as a putative novel biomarker for breast cancer: an in silico study
Breast cancer is a heterogenous disease accounting for about 0.68 million deaths among women in 2020. The drive to succumb the fatality in breast...
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3D Deep Learning-based Boundary Regression of an Age-related Retinal Biomarker in High Resolution OCT
Vision is essential for quality of life, but is threatened by visionimpairing diseases like age-related macular degeneration (AMD). A recently... -
Exploring Artificial Intelligence Methods for the Automatic Measurement of a New Biomarker Aiming at Glaucoma Diagnosis
Using technologies capable of providing retina structure high-resolution images is one of the most widespread means of identifying structural changes... -
An automatic AVR biomarker assessment system in retinal imaging
Retinal Imaging, a non-invasive way to scan the back of the eye, provides a mean to extract different possible biomarkers, such as Artery and Vein...
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Network-Based Identification of Module Biomarker Associated with Hepatocellular Carcinoma
Hepatocellular carcinoma (HCC) remains a second major cause of cancer-related death worldwide due to late diagnosis at the metastatic stage,... -
Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus
The symptoms of neuropsychiatric systemic lupus erythematosus (NPSLE) are subtle and elusive at the early stages.... -
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis
Imaging biomarkers derived from medical images play an important role in diagnosis, prognosis, and therapy response assessment. Develo** prognostic... -
Ensemble clustering of longitudinal bivariate HIV biomarker profiles to group patients by patterns of disease progression
This paper describes an ensemble cluster analysis of bivariate profiles of HIV biomarkers, viral load and CD4 cell counts, which jointly measure...