AIMC Topic: Squamous Cell Carcinoma of Head and Neck

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Identifying Drug Targets of Oral Squamous Cell Carcinoma through a Systems Biology Method and Genome-Wide Microarray Data for Drug Discovery by Deep Learning and Drug Design Specifications.

International journal of molecular sciences Sep 8, 2022
In this study, we provide a systems biology method to investigate the carcinogenic mechanism of oral squamous cell carcinoma (OSCC) in order to identify some important biomarkers as drug targets. Further, a systematic drug discovery method with a dee...
Carcinoma, Squamous Cell Biomarkers, Tumor Drug Design Drug Discovery Humans Biomarkers Head and Neck Neoplasms NF-kappa B Deep Learning Mouth Neoplasms Systems Biology Metformin Gene Expression Regulation, Neoplastic Gefitinib Squamous Cell Carcinoma of Head and Neck
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A deep learning-based model predicts survival for patients with laryngeal squamous cell carcinoma: a large population-based study.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Aug 28, 2022
OBJECTIVES: To assess the performance of DeepSurv, a deep learning-based model in the survival prediction of laryngeal squamous cell carcinoma (LSCC) using the Surveillance, Epidemiology, and End Results (SEER) database.
Humans Neoplasm Staging Laryngeal Neoplasms Prognosis Carcinoma, Squamous Cell Deep Learning Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms
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Intelligent Deep Learning Enabled Oral Squamous Cell Carcinoma Detection and Classification Using Biomedical Images.

Computational intelligence and neuroscience Jun 30, 2022
Oral cancer is one of the lethal diseases among the available malignant tumors globally, and it has become a challenging health issue in developing and low-to-middle income countries. The prognosis of oral cancer remains poor because over 50% of pati...
Humans Carcinoma, Squamous Cell Deep Learning Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Mouth Neoplasms
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A machine learning model for separating epithelial and stromal regions in oral cavity squamous cell carcinomas using H&E-stained histology images: A multi-center, retrospective study.

Oral oncology Jun 8, 2022
OBJECTIVE: Tissue slides from Oral cavity squamous cell carcinoma (OC-SCC), particularly the epithelial regions, hold morphologic features that are both diagnostic and prognostic. Yet, previously developed approaches for automated epithelium segmenta...
Head and Neck Neoplasms Mouth Neoplasms Carcinoma, Squamous Cell Deep Learning Humans Image Processing, Computer-Assisted Machine Learning Squamous Cell Carcinoma of Head and Neck Retrospective Studies
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Histopathology-Based Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning.

Journal of dental research Apr 21, 2022
Oral squamous cell carcinoma (OSCC) is prevalent around the world and is associated with poor prognosis. OSCC is typically diagnosed from tissue biopsy sections by pathologists who rely on their empirical experience. Deep learning models may improve ...
Humans Carcinoma, Squamous Cell Deep Learning Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Mouth Neoplasms
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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...
Papillomaviridae Oncogenic Viruses High-Throughput Nucleotide Sequencing Genome, Viral Tumor Virus Infections Kaplan-Meier Estimate Head and Neck Neoplasms Support Vector Machine DNA, Viral Epstein-Barr Virus Infections Herpesvirus 4, Human Mutation Leukocytes Genetic Variation RNA-Seq Immunotherapy Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Tumor Microenvironment Biomarkers, Tumor Neoplasms Transcriptome Humans Machine Learning Stomach Neoplasms
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Estimating the conditional probability of developing human papilloma virus related oropharyngeal cancer by combining machine learning and inverse Bayesian modelling.

PLoS computational biology Aug 20, 2021
The epidemic increase in the incidence of Human Papilloma Virus (HPV) related Oropharyngeal Squamous Cell Carcinomas (OPSCCs) in several countries worldwide represents a significant public health concern. Although gender neutral HPV vaccination progr...
Oropharyngeal Neoplasms Alphapapillomavirus Squamous Cell Carcinoma of Head and Neck Bayes Theorem SEER Program Probability Female Aged Adult Male Humans Middle Aged Machine Learning
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Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.

BMC cancer Aug 6, 2021
BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients.
Clinical Decision-Making Female Aged Aged, 80 and over Adult Biomarkers, Tumor Male Middle Aged Combined Modality Therapy Humans Positron-Emission Tomography Squamous Cell Carcinoma of Head and Neck Prognosis Disease Management Positron Emission Tomography Computed Tomography Kaplan-Meier Estimate Fluorodeoxyglucose F18 Neoplasm Staging Oropharyngeal Neoplasms Deep Learning Workflow ROC Curve Image Processing, Computer-Assisted Treatment Outcome
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A prediction model for degree of differentiation for resectable locally advanced esophageal squamous cell carcinoma based on CT images using radiomics and machine-learning.

The British journal of radiology Jul 8, 2021
OBJECTIVE: To propose the prediction model for degree of differentiation for locally advanced esophageal cancer patients from the planning CT image by radiomics analysis with machine learning.
Middle Aged Humans Machine Learning Models, Theoretical Female Prognosis Cell Differentiation Squamous Cell Carcinoma of Head and Neck Aged Retrospective Studies Neoplasm Staging Head and Neck Neoplasms Adult Tomography, X-Ray Computed Male
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Oncological, Surgical and Functional Outcomes of Transoral Robotic Cordectomy for Early Glottic Carcinoma.

Journal of voice : official journal of the Voice Foundation Jun 3, 2021
OBJECTIVE: To investigate oncological, surgical and functional outcomes of transoral robotic surgery cordectomy (TORS-Co).
Robotic Surgical Procedures Carbon Dioxide Treatment Outcome Laryngeal Neoplasms Squamous Cell Carcinoma of Head and Neck Humans Retrospective Studies Head and Neck Neoplasms Carcinoma, Squamous Cell Robotics Postoperative Complications
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