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Subcategories: Brain Cancer Breast Cancer Chemotherapy Colon Cancer Lung Cancer Other Cancers Prostate Cancer Skin Cancer

Showing 2899-2919 of 15,318 articles

Artificial intelligence and omics in malignant gliomas.

Glioblastoma multiforme (GBM) is one of the most common and aggressive type of malignant glioma with...

Oct 2024 PMID: 39437552

Identification of Biomarkers and Molecular Pathways Implicated in Smoking and COVID-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches.

Lung cancer (LC) is a significant global health issue, with smoking as the most common cause. Recent...

Oct 2024 PMID: 39595659

Unmasking Neuroendocrine Prostate Cancer with a Machine Learning-Driven Seven-Gene Stemness Signature That Predicts Progression.

Prostate cancer (PCa) poses a significant global health challenge, particularly due to its progressi...

Oct 2024 PMID: 39518911

Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer.

In endometrial cancer (EC) and colorectal cancer (CRC), in addition to microsatellite instability, t...

Oct 2024 PMID: 39461079

Machine learning identification of NK cell immune characteristics in hepatocellular carcinoma based on single-cell sequencing and bulk RNA sequencing.

BACKGROUND: Hepatocellular carcinoma (HCC) is a highly malignant tumor; however, its immune microenv...

Oct 2024 PMID: 39433650

Advancing Anticancer Drug Discovery: Leveraging Metabolomics and Machine Learning for Mode of Action Prediction by Pattern Recognition.

A bottleneck in the development of new anti-cancer drugs is the recognition of their mode of action ...

Oct 2024 PMID: 39431333

Combining metabolomics and machine learning to discover biomarkers for early-stage breast cancer diagnosis.

There is an urgent need for better biomarkers for the detection of early-stage breast cancer. Utiliz...

Oct 2024 PMID: 39432469

Medical imaging and radiation science students' use of artificial intelligence for learning and assessment.

INTRODUCTION: Artificial intelligence has permeated all aspects of our existence, and medical imagin...

Oct 2024 PMID: 39427502

Preoperative identification of early extrahepatic recurrence after hepatectomy for colorectal liver metastases: A machine learning approach.

BACKGROUND: Machine learning (ML) may provide novel insights into data patterns and improve model pr...

Oct 2024 PMID: 39425666

Transformer-Integrated Hybrid Convolutional Neural Network for Dose Prediction in Nasopharyngeal Carcinoma Radiotherapy.

Radiotherapy is recognized as the major treatment of nasopharyngeal carcinoma. Rapid and accurate do...

Oct 2024 PMID: 39424665

Future of allergy and immunology: Is artificial intelligence the key in the digital era?

Artificial intelligence (AI) is reshaping allergy and immunology by integrating cutting-edge technol...

Oct 2024 PMID: 39428098

Machine learning-based CT radiomics approach for predicting occult peritoneal metastasis in advanced gastric cancer preoperatively.

AIM: To develop a machine learning-based CT radiomics model to preoperatively diagnose occult perito...

Oct 2024 PMID: 39571365

Optimized deep learning networks for accurate identification of cancer cells in bone marrow.

Radiologists utilize pictures from X-rays, magnetic resonance imaging, or computed tomography scans ...

Oct 2024 PMID: 39490023

Early experience with an artificial intelligence-based module for brain metastasis detection and segmentation.

INTRODUCTION: - Accurate detection, segmentation, and volumetric analysis of brain lesions are essen...

Oct 2024 PMID: 39422813

as a Novel Biomarker for Colon Cancer Bone Metastasis with Machine Learning and Immunohistochemistry Validation.

Bone metastasis (BM) is a serious clinical symptom of advanced colorectal cancer. However, there is...

Oct 2024 PMID: 39422029

Machine learning-based discrimination of benign and malignant breast lesions on US: The contribution of shear-wave elastography.

PURPOSE: To build and validate a combined radiomics and machine learning (ML) approach using B-mode ...

Oct 2024 PMID: 39442348

Ultrasound for breast cancer detection: A bibliometric analysis of global trends between 2004 and 2024.

With the advancement of computer technology and imaging equipment, ultrasound has emerged as a cruci...

Oct 2024 PMID: 39420819

A convolutional neural network-based system for identifying neuroendocrine neoplasms and multiple types of lesions in the pancreas using EUS (with videos).

BACKGROUND AND AIMS: EUS is sensitive in detecting pancreatic neuroendocrine neoplasm (pNEN). Howeve...

Oct 2024 PMID: 39424005

Browse Categories

Artificial intelligence and omics in malignant gliomas.

Identification of Biomarkers and Molecular Pathways Implicated in Smoking and COVID-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches.

Unmasking Neuroendocrine Prostate Cancer with a Machine Learning-Driven Seven-Gene Stemness Signature That Predicts Progression.

Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer.

Machine learning identification of NK cell immune characteristics in hepatocellular carcinoma based on single-cell sequencing and bulk RNA sequencing.

Advancing Anticancer Drug Discovery: Leveraging Metabolomics and Machine Learning for Mode of Action Prediction by Pattern Recognition.

Combining metabolomics and machine learning to discover biomarkers for early-stage breast cancer diagnosis.

Medical imaging and radiation science students' use of artificial intelligence for learning and assessment.

Preoperative identification of early extrahepatic recurrence after hepatectomy for colorectal liver metastases: A machine learning approach.

Transformer-Integrated Hybrid Convolutional Neural Network for Dose Prediction in Nasopharyngeal Carcinoma Radiotherapy.

Future of allergy and immunology: Is artificial intelligence the key in the digital era?

Machine learning-based CT radiomics approach for predicting occult peritoneal metastasis in advanced gastric cancer preoperatively.

Optimized deep learning networks for accurate identification of cancer cells in bone marrow.

Early experience with an artificial intelligence-based module for brain metastasis detection and segmentation.

as a Novel Biomarker for Colon Cancer Bone Metastasis with Machine Learning and Immunohistochemistry Validation.

Machine learning-based discrimination of benign and malignant breast lesions on US: The contribution of shear-wave elastography.

Ultrasound for breast cancer detection: A bibliometric analysis of global trends between 2004 and 2024.

A convolutional neural network-based system for identifying neuroendocrine neoplasms and multiple types of lesions in the pancreas using EUS (with videos).

Harnessing machine learning technique to authenticate differentially expressed genes in oral squamous cell carcinoma.

Optimization and correction of breast dynamic optical imaging projection data based on deep learning.

TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs.

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