AIMC Topic: Papillomaviridae

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Explainable prediction model for the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma using CNN on CT images.

Scientific reports Jun 20, 2024
Several studies have emphasised how positive and negative human papillomavirus (HPV+  and HPV-, respectively) oropharyngeal squamous cell carcinoma (OPSCC) has distinct molecular profiles, tumor characteristics, and disease outcomes. Different radiom...
Humans Neural Networks, Computer Tomography, X-Ray Computed Female Carcinoma, Squamous Cell Squamous Cell Carcinoma of Head and Neck Tumor Burden Papillomaviridae Oropharyngeal Neoplasms Human Papillomavirus Viruses Aged Male Middle Aged Papillomavirus Infections
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Fully automated 3D machine learning model for HPV status characterization in oropharyngeal squamous cell carcinomas based on CT images.

American journal of otolaryngology Apr 29, 2024
BACKGROUND: Human papillomavirus (HPV) status plays a major role in predicting oropharyngeal squamous cell carcinoma (OPSCC) survival. This study assesses the accuracy of a fully automated 3D convolutional neural network (CNN) in predicting HPV statu...
Machine Learning Tomography, X-Ray Computed Female Carcinoma, Squamous Cell Papillomavirus Infections Male Predictive Value of Tests Middle Aged Papillomaviridae Aged Imaging, Three-Dimensional Sensitivity and Specificity Humans Oropharyngeal Neoplasms Neural Networks, Computer
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Multiparametric MRI-based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques.

European radiology Oct 18, 2023
OBJECTIVES: To develop and validate a multiparametric MRI-based radiomics model with optimal oversampling and machine learning techniques for predicting human papillomavirus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC).
Female Aged Radiomics Male Middle Aged Humans Machine Learning Retrospective Studies Multiparametric Magnetic Resonance Imaging Human Papillomavirus Viruses Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Papillomaviridae Oropharyngeal Neoplasms
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A Novel Deep Learning Algorithm for Human Papillomavirus Infection Prediction in Head and Neck Cancers Using Routine Histology Images.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Aug 29, 2023
The etiology of head and neck squamous cell carcinoma (HNSCC) involves multiple carcinogens, such as alcohol, tobacco, and infection with human papillomavirus (HPV). Because HPV infection influences the prognosis, treatment, and survival of patients ...
Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Papillomaviridae Eosine Yellowish-(YS) Carcinoma, Squamous Cell Tumor Microenvironment Deep Learning Papillomavirus Infections Hematoxylin Humans
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Scrutinizing high-risk patients from ASC-US cytology via a deep learning model.

Cancer cytopathology Mar 15, 2022
BACKGROUND: Atypical squamous cells of undetermined significance (ASC-US) is the most frequent but ambiguous abnormal Papanicolaou (Pap) interpretation and is generally triaged by high-risk human papillomavirus (hrHPV) testing before colposcopy. This...
Female Uterine Cervical Neoplasms Deep Learning Vaginal Smears Colposcopy Atypical Squamous Cells of the Cervix Papillomavirus Infections Papillomaviridae Humans Artificial Intelligence Pregnancy
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Machine learning prediction of antiviral-HPV protein interactions for anti-HPV pharmacotherapy.

Scientific reports Dec 21, 2021
Persistent infection with high-risk types Human Papillomavirus could cause diseases including cervical cancers and oropharyngeal cancers. Nonetheless, so far there is no effective pharmacotherapy for treating the infection from high-risk HPV types, a...
Antiviral Agents Papillomavirus Infections Area Under Curve Bayes Theorem Viral Proteins Papillomaviridae Humans Machine Learning Algorithms Drug Discovery
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Study protocol for a two-site clinical trial to validate a smartphone-based artificial intelligence classifier identifying cervical precancer and cancer in HPV-positive women in Cameroon.

PloS one Dec 16, 2021
INTRODUCTION: Cervical cancer remains a major public health challenge in low- and middle-income countries (LMICs) due to financial and logistical issues. WHO recommendation for cervical cancer screening in LMICs includes HPV testing as primary screen...
Cameroon Female Humans Adult Smartphone Clinical Trials as Topic Uterine Cervical Neoplasms Artificial Intelligence Uterine Cervical Dysplasia Papillomavirus Infections Acetic Acid Prospective Studies Middle Aged Early Detection of Cancer Papillomaviridae Prognosis
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The development of "automated visual evaluation" for cervical cancer screening: The promise and challenges in adapting deep-learning for clinical testing: Interdisciplinary principles of automated visual evaluation in cervical screening.

International journal of cancer Dec 6, 2021
There is limited access to effective cervical cancer screening programs in many resource-limited settings, resulting in continued high cervical cancer burden. Human papillomavirus (HPV) testing is increasingly recognized to be the preferable primary ...
Papillomaviridae Reproducibility of Results Humans Uterine Cervical Neoplasms Algorithms Deep Learning Female Early Detection of Cancer
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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...
Head and Neck Neoplasms Support Vector Machine DNA, Viral Epstein-Barr Virus Infections Leukocytes Genetic Variation High-Throughput Nucleotide Sequencing Herpesvirus 4, Human Mutation Humans RNA-Seq Machine Learning Immunotherapy Stomach Neoplasms Papillomavirus Infections Oncogenic Viruses Tumor Microenvironment Genome, Viral Squamous Cell Carcinoma of Head and Neck Tumor Virus Infections Biomarkers, Tumor Kaplan-Meier Estimate Neoplasms Papillomaviridae Transcriptome
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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...
Thyroid Neoplasms Papillomavirus Infections Lymph Nodes Squamous Cell Carcinoma of Head and Neck Tomography, X-Ray Computed Humans Female Male Deep Learning Neck Diagnosis, Differential Tuberculosis Papillomaviridae Thyroid Cancer, Papillary Oropharyngeal Neoplasms
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