AIMC Topic: Squamous Cell Carcinoma of Head and Neck

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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 Jan 14, 2025
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...
Humans Risk Factors Aged Aged, 80 and over Adult Machine Learning Algorithms Female Carcinoma, Squamous Cell Stomatitis Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Decision Trees Oropharyngeal Neoplasms Sensitivity and Specificity Male Middle Aged Risk Assessment
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Identification of genomic alteration and prognosis using pathomics-based artificial intelligence in oral leukoplakia and head and neck squamous cell carcinoma: a multicenter experimental study.

International journal of surgery (London, England) Jan 1, 2025
BACKGROUND: Loss of chromosome 9p is an important biomarker in the malignant transformation of oral leukoplakia (OLK) to head and neck squamous cell carcinoma (HNSCC), and is associated with the prognosis of HNSCC patients. However, various challenge...
Humans Artificial Intelligence Prognosis Head and Neck Neoplasms Retrospective Studies Female Aged Adult Male Middle Aged Genomics Squamous Cell Carcinoma of Head and Neck Leukoplakia, Oral Chromosomes, Human, Pair 9
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Identification of a gene score related to antigen processing and presentation machinery for predicting prognosis in head and neck squamous cell carcinoma and its potential implications for immunotherapy.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Dec 31, 2024
BACKGROUND: Despite its crucial role in immune surveillance and cell survival of tumors, the significance of MHC antigen processing and presentation machinery (APM) is still not fully understood in head and neck squamous cell carcinoma (HNSCC). We so...
Humans Male Immunotherapy Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Antigen Presentation Machine Learning Prognosis Female Biomarkers, Tumor
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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 Dec 28, 2024
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 ...
Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms DNA Methylation Male Algorithms Immune Checkpoint Inhibitors Prognosis Immunotherapy Humans Female Multiomics Machine Learning Biomarkers, Tumor
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Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma.

CPT: pharmacometrics & systems pharmacology Dec 25, 2024
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...
Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Cetuximab Male Middle Aged Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Humans Machine Learning Female Aged
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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 Dec 19, 2024
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...
Gene Expression Profiling Squamous Cell Carcinoma of Head and Neck Biomarkers, Tumor Humans Head and Neck Neoplasms Male Machine Learning Prognosis Female Middle Aged Antineoplastic Agents
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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 Dec 10, 2024
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...
Head and Neck Neoplasms Humans Databases, Genetic Gene Expression Profiling Computational Biology Machine Learning Gene Expression Regulation, Neoplastic Prognosis Squamous Cell Carcinoma of Head and Neck Tumor Microenvironment Biomarkers, Tumor
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Integrating omics data and machine learning techniques for precision detection of oral squamous cell carcinoma: evaluating single biomarkers.

Frontiers in immunology Dec 3, 2024
INTRODUCTION: Early detection of oral squamous cell carcinoma (OSCC) is critical for improving clinical outcomes. Precision diagnostics integrating metabolomics and machine learning offer promising non-invasive solutions for identifying tumor-derived...
Squamous Cell Carcinoma of Head and Neck Early Detection of Cancer Metabolomics Mouth Neoplasms Humans Adult Machine Learning Biomarkers, Tumor Male Middle Aged Precision Medicine Female Carcinoma, Squamous Cell Aged
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Exploring patient stratification in head and neck squamous cell carcinoma using machine learning techniques: Preliminary results.

Current problems in cancer Nov 2, 2024
BACKGROUND: Head and Neck Squamous Cell Carcinoma (HNSCC) presents a significant challenge in oncology due to its inherent heterogeneity. Traditional staging systems, such as TNM (Tumor, Node, Metastasis), provide limited information regarding patien...
Aged Adult Male Middle Aged Neoplasm Staging Machine Learning Precision Medicine Squamous Cell Carcinoma of Head and Neck Prognosis Humans Head and Neck Neoplasms Female
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Contrast-Enhanced Computed Tomography-Based Machine Learning Radiomics Predicts IDH1 Expression and Clinical Prognosis in Head and Neck Squamous Cell Carcinoma.

Academic radiology Sep 10, 2024
RATIONALE AND OBJECTIVES: Isocitrate dehydrogenase 1 (IDH1) is a potential therapeutic target across various tumor types. Here, we aimed to devise a radiomic model capable of predicting the IDH1 expression levels in patients with head and neck squamo...
Female Aged Adult Radiomics Biomarkers, Tumor Male Middle Aged Squamous Cell Carcinoma of Head and Neck Humans Machine Learning Prognosis Tomography, X-Ray Computed Head and Neck Neoplasms Contrast Media Isocitrate Dehydrogenase
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