AIMC Topic: Papillomavirus Infections
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A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma.
Pathologica
Dec 1, 2024
HPV status is an important prognostic factor in oropharyngeal squamous cell carcinoma (OPSCC), with HPV-positive tumors associated with better overall survival. To determine HPV status, we rely on the immunohistochemical investigation for expression ...
Deep-Learning-Based Evaluation of Dual Stain Cytology for Cervical Cancer Screening: A New Paradigm.
Journal of the National Cancer Institute
Nov 2, 2021
DeepHPV: a deep learning model to predict human papillomavirus integration sites.
Briefings in bioinformatics
Jul 20, 2021
Human papillomavirus (HPV) integrating into human genome is the main cause of cervical carcinogenesis. HPV integration selection preference shows strong dependence on local genomic environment. Due to this theory, it is possible to predict HPV integr...
Risk stratification of cervical lesions using capture sequencing and machine learning method based on HPV and human integrated genomic profiles.
Carcinogenesis
Oct 16, 2019
From initial human papillomavirus (HPV) infection and precursor stages, the development of cervical cancer takes decades. High-sensitivity HPV DNA testing is currently recommended as primary screening method for cervical cancer, whereas better triage...
Artificial intelligence estimates the impact of human papillomavirus types in influencing the risk of cervical dysplasia recurrence: progress toward a more personalized approach.
European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)
Mar 1, 2019
The objective of this study was to determine whether the pretreatment human papillomavirus (HPV) genotype might predict the risk of cervical dysplasia persistence/recurrence. Retrospective analysis of prospectively collected data of consecutive 5104 ...
Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a Machine Learning Based System and Semiparametric Nonlinear Regression.
Studies in health technology and informatics
Jan 1, 2017
HPV vaccination refusal is a serious public health issue. Opinions on Twitter have are influential to potential consumers on vaccination behaviours. Public opinions toward HPV vaccination were extracted from Twitter by leveraging machine learning mod...
Towards a HPV Vaccine Knowledgebase for Patient Education Content.
Studies in health technology and informatics
Jan 1, 2016
Human papillomavirus is a widespread sexually transmitted infection that can be prevented with vaccination. However, HPV vaccination rates in the United States are disappointingly low. This paper will introduce a patient oriented web ontology intende...
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