AI Medical Compendium Journal:
Cancer biomarkers : section A of Disease markers

Showing 11 to 17 of 17 articles

Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology.

Cancer biomarkers : section A of Disease markers Jan 1, 2022
BACKGROUND: With the use of artificial intelligence and machine learning techniques for biomedical informatics, security and privacy concerns over the data and subject identities have also become an important issue and essential research topic. Witho...
Confidentiality Information Storage and Retrieval Registries Artificial Intelligence Neoplasms Humans Deep Learning Natural Language Processing
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Applications of artificial intelligence (AI) in ovarian cancer, pancreatic cancer, and image biomarker discovery.

Cancer biomarkers : section A of Disease markers Jan 1, 2022
BACKGROUND: Artificial intelligence (AI), including machine learning (ML) and deep learning, has the potential to revolutionize biomedical research. Defined as the ability to "mimic" human intelligence by machines executing trained algorithms, AI met...
Early Detection of Cancer Ovarian Neoplasms Female Biomarkers, Tumor Pancreatic Neoplasms Bias Humans Artificial Intelligence Machine Learning Prognosis
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Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images.

Cancer biomarkers : section A of Disease markers Jan 1, 2022
BACKGROUND: Early stage diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is challenging due to the lack of specific diagnostic biomarkers. However, stratifying individuals at high risk of PDAC, followed by monitoring their health conditions on re...
Humans Artificial Intelligence Bayes Theorem Carcinoma, Pancreatic Ductal Early Detection of Cancer Tomography, X-Ray Computed Pancreatic Neoplasms Abdomen
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miRNAs expression pattern and machine learning models elucidate risk for gastric GIST.

Cancer biomarkers : section A of Disease markers Jan 1, 2022
BACKGROUND: Gatrointestinal stromal tumors (GISTs) are the main mesenchymal tumors found in the gastrointestinal system. GISTs clinical phenotypes differ significantly and their molecular basis is not yet completely known. microRNAs (miRNAs) have bee...
Stomach Neoplasms Biomarkers, Tumor Prognosis Female Gene Expression Gastrointestinal Stromal Tumors Male MicroRNAs Humans Machine Learning
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Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis.

Cancer biomarkers : section A of Disease markers Jan 1, 2020
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is the seventh most common type of cancer around the world. The aim of this study was to seek the long non-coding RNAs (lncRNAs) acting as diagnostic and prognostic biomarker of HNSCC.
Computational Biology RNA, Messenger Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck Humans Biomarkers, Tumor Gene Regulatory Networks Machine Learning Prognosis Head and Neck Neoplasms High-Throughput Screening Assays RNA, Long Noncoding
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Screening key lncRNAs for human lung adenocarcinoma based on machine learning and weighted gene co-expression network analysis.

Cancer biomarkers : section A of Disease markers Jan 1, 2019
BACKGROUND: Lung adenocarcinoma (LUAD) accounts for a significant proportion of lung cancer and there have been few diagnostic and therapeutic targets for LUAD due to the lack of specific biomarker. The aim of this study was to identify key long non-...
Male Humans Gene Expression Profiling Machine Learning Female Gene Regulatory Networks Adenocarcinoma of Lung RNA, Long Noncoding
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Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies.

Cancer biomarkers : section A of Disease markers Feb 6, 2018
Prostate is a second leading causes of cancer deaths among men. Early detection of cancer can effectively reduce the rate of mortality caused by Prostate cancer. Due to high and multiresolution of MRIs from prostate cancer require a proper diagnostic...
Support Vector Machine Bayes Theorem Machine Learning Humans Prostatic Neoplasms Male
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