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

Showing 1 to 10 of 17 articles

Non-invasive prediction of DCE-MRI radiomics model on CCR5 in breast cancer based on a machine learning algorithm.

Cancer biomarkers : section A of Disease markers May 21, 2025
BackgroundNon-invasive methods with universal prognostic guidance for detecting breast cancer (BC) survival biomarkers need to be further explored.ObjectiveThis study aimed to investigate C-C motif chemokine receptor type 5 (CCR5) prognosis value in ...
Adult Breast Neoplasms Radiomics Prognosis Female Aged Contrast Media Receptors, CCR5 Dynamic Contrast Enhanced Magnetic Resonance Imaging Biomarkers, Tumor Middle Aged Support Vector Machine Humans Machine Learning Algorithms
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Brain tumor segmentation and detection in MRI using convolutional neural networks and VGG16.

Cancer biomarkers : section A of Disease markers Apr 4, 2025
BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for the development of an automated cancer detection system, particularly for MRI images. By leveraging deep learning and image processing techniques, we a...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Brain Neoplasms Neural Networks, Computer Deep Learning Convolutional Neural Networks
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Development and validation of machine learning models for early diagnosis and prognosis of lung adenocarcinoma using miRNA expression profiles.

Cancer biomarkers : section A of Disease markers Apr 2, 2025
ObjectiveStudy aims to develop diagnostic and prognostic models for lung adenocarcinoma (LUAD) using Machine learning（ML）algorithms, aiming to enhance clinical decision-making accuracy.MethodsData from The Cancer Genome Atlas (TCGA) for LUAD patients...
Male Middle Aged Gene Expression Profiling Female Aged Biomarkers, Tumor Nomograms Early Detection of Cancer MicroRNAs ROC Curve Lung Neoplasms Gene Expression Regulation, Neoplastic Humans Machine Learning Prognosis Adenocarcinoma of Lung
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Machine learning identifies a 5-serum cytokine panel for the early detection of chronic atrophy gastritis patients.

Cancer biomarkers : section A of Disease markers Jan 1, 2024
BACKGROUND: Chronic atrophy gastritis (CAG) is a high-risk pre-cancerous lesion for gastric cancer (GC). The early and accurate detection and discrimination of CAG from benign forms of gastritis (e.g. chronic superficial gastritis, CSG) is critical f...
Stomach Neoplasms Male Middle Aged Early Detection of Cancer Chronic Disease Gastritis, Atrophic Female Aged Adult Humans Machine Learning Cytokines
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Deep learning approaches for breast cancer detection in histopathology images: A review.

Cancer biomarkers : section A of Disease markers Jan 1, 2024
BACKGROUND: Breast cancer is one of the leading causes of death in women worldwide. Histopathology analysis of breast tissue is an essential tool for diagnosing and staging breast cancer. In recent years, there has been a significant increase in rese...
Image Interpretation, Computer-Assisted Breast Neoplasms Deep Learning Humans Algorithms Female Image Processing, Computer-Assisted
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Breast cancer detection employing stacked ensemble model with convolutional features.

Cancer biomarkers : section A of Disease markers Jan 1, 2024
Breast cancer is a major cause of female deaths, especially in underdeveloped countries. It can be treated if diagnosed early and chances of survival are high if treated appropriately and timely. For timely and accurate automated diagnosis, machine l...
Humans Neural Networks, Computer Machine Learning Breast Neoplasms Algorithms Support Vector Machine Female
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Subcutaneous fat predicts bone metastasis in breast cancer: A novel multimodality-based deep learning model.

Cancer biomarkers : section A of Disease markers Jan 1, 2024
OBJECTIVES: This study explores a deep learning (DL) approach to predicting bone metastases in breast cancer (BC) patients using clinical information, such as the fat index, and features like Computed Tomography (CT) images.
Breast Neoplasms Deep Learning Subcutaneous Fat Neural Networks, Computer Tomography, X-Ray Computed Humans Female
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From space to biomedicine: Enabling biomarker data science in the cloud.

Cancer biomarkers : section A of Disease markers Jan 1, 2022
NASA's Jet Propulsion Laboratory (JPL) is advancing research capabilities for data science with two of the National Cancer Institute's major research programs, the Early Detection Research Network (EDRN) and the Molecular and Cellular Characterizatio...
Biomarkers, Tumor Humans Ecosystem Artificial Intelligence Data Science Software
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Introduction to the special issue on Applications of Artificial Intelligence in Biomarker Research.

Cancer biomarkers : section A of Disease markers Jan 1, 2022
Humans Biomarkers Artificial Intelligence Algorithms
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Machine learning analyses of highly-multiplexed immunofluorescence identifies distinct tumor and stromal cell populations in primary pancreatic tumors.

Cancer biomarkers : section A of Disease markers Jan 1, 2022
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge for patients and clinicians.
Tumor Microenvironment Image Interpretation, Computer-Assisted Biomarkers, Tumor Stromal Cells Middle Aged Male Fluorescent Antibody Technique Pancreatic Neoplasms Humans Female Carcinoma, Pancreatic Ductal Machine Learning Aged Aged, 80 and over
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