AIMC Topic: Papillomaviridae

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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...
Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Support Vector Machine DNA, Viral Epstein-Barr Virus Infections Neoplasms Transcriptome RNA-Seq Immunotherapy Papillomavirus Infections Genome, Viral Tumor Virus Infections Kaplan-Meier Estimate Papillomaviridae Oncogenic Viruses Herpesvirus 4, Human Mutation Leukocytes Humans Genetic Variation High-Throughput Nucleotide Sequencing Machine Learning Stomach Neoplasms Tumor Microenvironment Biomarkers, Tumor
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Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: utility of deep learning in their differentiation on CT.

American journal of otolaryngology Apr 9, 2021
OBJECTIVES: Cervical lymph nodes with internal cystic changes are seen with several pathologies, including papillary thyroid carcinoma (PTC), tuberculosis (TB), and HPV-positive oropharyngeal squamous cell carcinoma (HPV+OPSCC). Differentiating these...
Diagnosis, Differential Thyroid Neoplasms Humans Tuberculosis Papillomavirus Infections Tomography, X-Ray Computed Papillomaviridae Lymph Nodes Thyroid Cancer, Papillary Female Squamous Cell Carcinoma of Head and Neck Oropharyngeal Neoplasms Male Neck Deep Learning
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Human papilloma virus detection in oropharyngeal carcinomas with in situ hybridisation using hand crafted morphological features and deep central attention residual networks.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 22, 2021
Human Papilloma Virus (HPV) is a major risk factor for the development of oropharyngeal cancer. Automatic detection of HPV in digitized pathology tissues using in situ hybridisation (ISH) is a difficult task due to the variability and complexity of s...
Carcinoma Attention Papillomaviridae Oropharyngeal Neoplasms Alphapapillomavirus Humans Deep Learning
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Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status.

Scientific reports Oct 16, 2020
We investigated the ability of machine-learning classifiers on radiomics from pre-treatment multiparametric magnetic resonance imaging (MRI) to accurately predict human papillomavirus (HPV) status in patients with oropharyngeal squamous cell carcinom...
Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Regression Analysis Area Under Curve Adult Male Middle Aged ROC Curve Computational Biology Papillomaviridae Oropharyngeal Neoplasms Multiparametric Magnetic Resonance Imaging Humans Machine Learning Retrospective Studies Female Aged Aged, 80 and over
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Artificial intelligence-assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: A multicenter, clinical-based, observational study.

Gynecologic oncology Aug 16, 2020
OBJECTIVE: Artificial intelligence (AI) could automatedly detect abnormalities in digital cytological images, however, the effect in cervical cancer screening is inconclusive. We aim to evaluate the performance of AI-assisted cytology for the detecti...
Datasets as Topic Uterine Cervical Dysplasia Papillomaviridae Colposcopy Early Detection of Cancer Neoplasm Invasiveness Predictive Value of Tests Triage Biopsy Image Processing, Computer-Assisted Humans Vaginal Smears Female Papillomavirus Infections Adult Cervix Uteri Uterine Cervical Neoplasms Middle Aged Severity of Illness Index Deep Learning
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The application of deep learning based diagnostic system to cervical squamous intraepithelial lesions recognition in colposcopy images.

Scientific reports Jul 15, 2020
Background Deep learning has presented considerable potential and is gaining more importance in computer assisted diagnosis. As the gold standard for pathologically diagnosing cervical intraepithelial lesions and invasive cervical cancer, colposcopy-...
Papillomaviridae Humans Colposcopy Retrospective Studies Squamous Intraepithelial Lesions Neoplasm Grading Female Biopsy Adult Vaginal Smears Image Interpretation, Computer-Assisted Uterine Cervical Neoplasms Datasets as Topic Papillomavirus Infections Middle Aged Uterine Cervical Dysplasia Cervix Uteri Deep Learning Early Detection of Cancer Models, Statistical
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Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer.

Scientific reports Mar 11, 2020
A major challenge in radiomics is assembling data from multiple centers. Sharing data between hospitals is restricted by legal and ethical regulations. Distributed learning is a technique, enabling training models on multicenter data without data lea...
Data Accuracy Image Interpretation, Computer-Assisted Papillomaviridae Deep Learning ROC Curve Papillomavirus Infections Head and Neck Neoplasms Privacy Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Survival Rate
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Point-of-care cervical cancer screening using deep learning-based microholography.

Theranostics Nov 26, 2019
Most deaths (80%) from cervical cancer occur in regions lacking adequate screening infrastructures or ready access to them. In contrast, most developed countries now embrace human papillomavirus (HPV) analyses as standalone screening; this transition...
Human papillomavirus 16 Humans Female Point-of-Care Systems Human papillomavirus 18 Uterine Cervical Neoplasms Deep Learning Cervix Uteri Early Detection of Cancer Papillomaviridae
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Machine Learning Interpretation of Extended Human Papillomavirus Genotyping by Onclarity in an Asian Cervical Cancer Screening Population.

Journal of clinical microbiology Nov 22, 2019
This study aimed (i) to compare the performance of the BD Onclarity human papillomavirus (HPV) assay with the Cobas HPV test in identifying cervical intraepithelial neoplasia 2/3 or above (CIN2/3+) in an Asian screening population and (ii) to explore...
Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Early Detection of Cancer Uterine Cervical Neoplasms Humans Asian People Middle Aged Machine Learning Genotyping Techniques Adolescent Female Uterine Cervical Dysplasia Genotype Papillomaviridae Papillomavirus Infections
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A machine learning approach for viral genome classification.

BMC bioinformatics Apr 11, 2017
BACKGROUND: Advances in cloning and sequencing technology are yielding a massive number of viral genomes. The classification and annotation of these genomes constitute important assets in the discovery of genomic variability, taxonomic characteristic...
Classification Genomics Humans Papillomaviridae Sequence Analysis, RNA Machine Learning Sequence Analysis, DNA Computer Simulation HIV-1 Hepatitis B virus Genome, Viral
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