AIMC Topic: Herpesvirus 4, Human
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Plasma Epstein-Barr Virus DNA load for diagnostic and prognostic assessment in intestinal Epstein-Barr Virus infection.
Frontiers in cellular and infection microbiology
Jan 7, 2025
BACKGROUND: The prospective application of plasma Epstein-Barr virus (EBV) DNA load as a noninvasive measure of intestinal EBV infection remains unexplored. This study aims to identify ideal threshold levels for plasma EBV DNA loads in the diagnosis ...
Can Machine Learning Models Based on Computed Tomography Radiomics and Clinical Characteristics Provide Diagnostic Value for Epstein-Barr Virus-Associated Gastric Cancer?
Journal of computer assisted tomography
Jun 25, 2024
OBJECTIVE: The aim of this study was to explore whether machine learning model based on computed tomography (CT) radiomics and clinical characteristics can differentiate Epstein-Barr virus-associated gastric cancer (EBVaGC) from non-EBVaGC.
Deep Learning-Based Stratification of Gastric Cancer Patients from Hematoxylin and Eosin-Stained Whole Slide Images by Predicting Molecular Features for Immunotherapy Response.
The American journal of pathology
Jun 24, 2023
Determining the molecular characteristics of cancer patients is crucial for optimal immunotherapy decisions. The aim of this study was to screen immunotherapy beneficiaries by predicting key molecular features from hematoxylin and eosin-stained image...
Deep learning model to predict Epstein-Barr virus associated gastric cancer in histology.
Scientific reports
Nov 2, 2022
The detection of Epstein-Barr virus (EBV) in gastric cancer patients is crucial for clinical decision making, as it is related with specific treatment responses and prognoses. Despite its importance, the limited medical resources preclude universal E...
Prediction of Epstein-Barr Virus Status in Gastric Cancer Biopsy Specimens Using a Deep Learning Algorithm.
JAMA network open
Oct 3, 2022
IMPORTANCE: Epstein-Barr virus (EBV)-associated gastric cancer (EBV-GC) is 1 of 4 molecular subtypes of GC and is confirmed by an expensive molecular test, EBV-encoded small RNA in situ hybridization. EBV-GC has 2 histologic characteristics, lymphoid...
Deep Learning Fuzzy Inference: An Interpretable Model for Detecting Indirect Immunofluorescence Patterns Associated with Nasopharyngeal Cancer.
The American journal of pathology
Jun 22, 2022
The detection of serum Epstein-Barr virus antibodies by immunofluorescence assay (IFA) is considered the gold standard screening test for nasopharyngeal cancer (NPC) in high-risk populations. Given the high survival rate after early detection in asym...
A deep learning model and human-machine fusion for prediction of EBV-associated gastric cancer from histopathology.
Nature communications
May 19, 2022
Epstein-Barr virus-associated gastric cancer (EBVaGC) shows a robust response to immune checkpoint inhibitors. Therefore, a cost-efficient and accessible tool is needed for discriminating EBV status in patients with gastric cancer. Here we introduce ...
Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning.
Scientific reports
Nov 22, 2021
Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric cancers. Epstein-Barr virus (EBV)-positive and microsatellite instability (MSI) / mismatch repair deficient (dMMR) tumors have been reported to be high...
Immunotherapy
Treatment Outcome
Herpesvirus 4, Human
Area Under Curve
Databases, Factual
Lymphocytosis
Microsatellite Instability
Humans
Machine Learning
Reproducibility of Results
DNA Mismatch Repair
Neural Networks, Computer
Software
Immunohistochemistry
Stomach Neoplasms
Algorithms
Genome, Human
Deep Learning
The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy.
BMC cancer
Nov 5, 2021
BACKGROUND: Viral infections are prevalent in human cancers and they have great diagnostic and theranostic values in clinical practice. Recently, their potential of shaping the tumor immune microenvironment (TIME) has been related to the immunotherap...
Tumor Virus Infections
Kaplan-Meier Estimate
Papillomaviridae
Oncogenic Viruses
Transcriptome
Leukocytes
RNA-Seq
Genetic Variation
Immunotherapy
High-Throughput Nucleotide Sequencing
Stomach Neoplasms
Squamous Cell Carcinoma of Head and Neck
Papillomavirus Infections
Epstein-Barr Virus Infections
Genome, Viral
Tumor Microenvironment
Head and Neck Neoplasms
Herpesvirus 4, Human
Humans
Biomarkers, Tumor
Support Vector Machine
Mutation
Neoplasms
Machine Learning
DNA, Viral
An interpretable machine learning prognostic system for locoregionally advanced nasopharyngeal carcinoma based on tumor burden features.
Oral oncology
May 21, 2021
OBJECTIVES: We aimed to build a survival system by combining a highly-accurate machine learning (ML) model with explainable artificial intelligence (AI) techniques to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma (NPC...
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