Oncology/Hematology

Colon Cancer

Latest AI and machine learning research in colon cancer for healthcare professionals.

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Showing 169-189 of 2,607 articles
Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment.

INTRODUCTION: Prostate adenocarcinoma (PRAD) is an extremely widespread site of urological malignanc...

Integrating next-generation sequencing and artificial intelligence for the identification and validation of pathogenic variants in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) is recognized as a multifactorial disease, where both genetic an...

Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response.

BACKGROUND: Exosomes are extracellular vesicles that carry various biological substances and have po...

Computer-aided diagnosis for colorectal polyp in comparison with endoscopists: Systematic review and meta-analysis.

OBJECTIVES: Computer-aided diagnosis (CADx) is anticipated to enhance the prediction of colorectal p...

Tumor budding and poorly differentiated clusters as a biological continuum in colorectal cancer invasion and prognosis.

Tumor budding (TB) and poorly differentiated clusters (PDCs) are features of infiltrative growth pat...

Associations between calcium intake and T cell infiltration in colorectal tumours.

Higher T cell infiltration in colorectal tumours has been associated with better prognosis. Evidence...

A computed tomography-based radiomics prediction model for BRAF mutation status in colorectal cancer.

PURPOSE: The aim of this study was to develop and validate CT venous phase image-based radiomics to ...

Dual nanozyme sensor enables rapid at-home cancer surveillance.

Early detection of cancer is critical for improving patient survival rates, and current in vitro dia...

Classification of image-enhanced endoscopy in colon tumors.

Colorectal cancer accounts for 10% of global cancer cases in each year, making accurate evaluation a...

Annotation-Free Whole-Slide Image Analysis Method to Assess Immune Infiltration in Colorectal Cancer.

PURPOSE: Tumor-infiltrating lymphocytes (TILs) play a crucial role in host antitumor processes. High...

Explainable Machine Learning Models for Colorectal Cancer Prediction Using Clinical Laboratory Data.

IntroductionEarly diagnosis of colorectal cancer (CRC) poses a significant clinical challenge. This ...

Artificial intelligence-based muscle analysis risk assessment of treatment-related toxicity in metastatic colorectal cancer.

IntroductionUp to 60% of adults with metastatic colorectal cancer (mCRC) receiving combination cytot...

Deep learning model for predicting the RAS oncogene status in colorectal cancer liver metastases.

BACKGROUND: To develop a deep learning radiomics (DLR) model based on contrast-enhanced computed tom...

GastroEndoNet: Comprehensive endoscopy image dataset for GERD and polyp detection.

The gastrointestinal (GI) system is fundamental to human health, supporting digestion, nutrient abso...

Integrative proteomic profiling of tumor and plasma extracellular vesicles identifies a diagnostic biomarker panel for colorectal cancer.

The lack of reliable non-invasive biomarkers for early colorectal cancer (CRC) diagnosis underscores...

Deep learning radiopathomics predicts targeted therapy sensitivity in EGFR-mutant lung adenocarcinoma.

BACKGROUND: Ttyrosine kinase inhibitors (TKIs) represent the standard first-line treatment for patie...

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