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Head and Neck Neoplasms

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Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach.

Polish journal of pathology : official journal of the Polish Society of Pathologists 39849872
Head and neck squamous cell carcinoma (HNSCC) exhibits a poor 5-year survival rate. TNFRSF4 is gaining attention in tumor therapy. The objective of this study was to forecast the expression of TNFRSF4 in HNSCC tissue using analysis of pathological im...
Aged Biomarkers, Tumor Female Head and Neck Neoplasms Humans Male Middle Aged Prognosis Squamous Cell Carcinoma of Head and Neck TWEAK Receptor
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Machine-learning derived identification of prognostic signature to forecast head and neck squamous cell carcinoma prognosis and drug response.

Frontiers in immunology 39749326
INTRODUCTION: Head and neck squamous cell carcinoma (HNSCC), a highly heterogeneous malignancy is often associated with unfavorable prognosis. Due to its unique anatomical position and the absence of effective early inspection methods, surgical inter...
Antineoplastic Agents Biomarkers, Tumor Female Gene Expression Profiling Head and Neck Neoplasms Humans Machine Learning Male Middle Aged Prognosis Squamous Cell Carcinoma of Head and Neck
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Integrating machine learning, bioinformatics and experimental verification to identify a novel prognostic marker associated with tumor immune microenvironment in head and neck squamous carcinoma.

Frontiers in immunology 39720726
Head and neck squamous carcinoma (HNSC), characterized by a high degree of malignancy, develops in close association with the tumor immune microenvironment (TIME). Therefore, identifying effective targets related to HNSC and TIME is of paramount impo...
Biomarkers, Tumor Computational Biology Databases, Genetic Gene Expression Profiling Gene Expression Regulation, Neoplastic Head and Neck Neoplasms Humans Machine Learning Prognosis Squamous Cell Carcinoma of Head and Neck Tumor Microenvironment
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Integrating immune multi-omics and machine learning to improve prognosis, immune landscape, and sensitivity to first- and second-line treatments for head and neck squamous cell carcinoma.

Scientific reports 39732954
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the standard treatment regimen for patients with head and neck squamous cell carcinoma (HNSCC). However, accurately predicting the treatment effectiveness ...
Algorithms Biomarkers, Tumor DNA Methylation Female Gene Expression Regulation, Neoplastic Head and Neck Neoplasms Humans Immune Checkpoint Inhibitors Immunotherapy Machine Learning Male Multiomics Prognosis Squamous Cell Carcinoma of Head and Neck
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Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma.

CPT: pharmacometrics & systems pharmacology 39722558
We employed a mechanistic learning approach, integrating on-treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post-progression survival (PPS)-the duration from the time of document...
Aged Antineoplastic Combined Chemotherapy Protocols Cetuximab Female Head and Neck Neoplasms Humans Machine Learning Male Middle Aged Squamous Cell Carcinoma of Head and Neck Treatment Outcome
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Quality of Information Provided by Artificial Intelligence Chatbots Surrounding the Reconstructive Surgery for Head and Neck Cancer: A Comparative Analysis Between ChatGPT4 and Claude2.

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery 39628451
INTRODUCTION: Artificial Intelligences (AIs) are changing the way information is accessed and consumed globally. This study aims to evaluate the information quality provided by AIs ChatGPT4 and Claude2 concerning reconstructive surgery for head and n...
Artificial Intelligence Generative Artificial Intelligence Head and Neck Neoplasms Humans Plastic Surgery Procedures Surveys and Questionnaires
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Assessing population-based to personalized planning strategies for head and neck adaptive radiotherapy.

Journal of applied clinical medical physics 39626092
PURPOSE: Optimal head-and-neck cancer (HNC) treatment planning requires accurate and feasible planning goals to meet dosimetric constraints and generate robust online adaptive treatment plans. A new x-ray-based adaptive radiotherapy (ART) treatment p...
Algorithms Artificial Intelligence Head and Neck Neoplasms Humans Organs at Risk Precision Medicine Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Retrospective Studies
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Deep learning-based Monte Carlo dose prediction for heavy-ion online adaptive radiotherapy and fast quality assurance: A feasibility study.

Medical physics 39871016
BACKGROUND: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in suc...
Deep Learning Feasibility Studies Head and Neck Neoplasms Heavy Ion Radiotherapy Humans Monte Carlo Method Quality Assurance, Health Care Radiation Dosage Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Time Factors
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Machine learning prediction model for oral mucositis risk in head and neck radiotherapy: a preliminary study.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer 39808310
PURPOSE: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM ris...
Adult Aged Aged, 80 and over Algorithms Carcinoma, Squamous Cell Decision Trees Female Head and Neck Neoplasms Humans Machine Learning Male Middle Aged Oropharyngeal Neoplasms Risk Assessment Risk Factors Sensitivity and Specificity Squamous Cell Carcinoma of Head and Neck Stomatitis
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Evaluation of machine learning models for predicting xerostomia in adults with head and neck cancer during proton and heavy ion radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 39798700
BACKGROUND AND PURPOSE: Few studies have examined the factors associated with xerostomia during proton and carbon ion radiotherapy for head and neck cancer (HNC), which are reported to have fewer toxic effects compared to traditional photon-based rad...
Adolescent Adult Aged Aged, 80 and over Female Head and Neck Neoplasms Heavy Ion Radiotherapy Humans Machine Learning Male Middle Aged Proton Therapy Retrospective Studies Xerostomia Young Adult
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