Colon Cancer

A USP15/KRT17-associated 13-gene prognostic cluster and functional validation in EGFR-mutant lung adenocarcinoma.

BACKGROUND: EGFR-mutant lung adenocarcinoma (LUAD) exhibits significant prognostic heterogeneity des...

Next-generation precision oncology in microsatellite stable colorectal cancer: integrated targeting beyond RAS and RAF.

The therapeutic landscape of colorectal cancer (CRC) has evolved with the identification of molecula...

Artificial intelligence-assisted detection and optical differentiation of colorectal lesions in Lynch syndrome surveillance (CADLY2): a multicentre, open-label, randomised controlled superiority trial.

BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adeno...

Human-artificial intelligence adaptation in colonoscopy: beyond deskilling and upskilling.

A Multimodal Deep Learning Model for Preoperative Prediction of Postoperative Complications in Gastric Cancer.

BACKGROUND: Clavien-Dindo (CD) grade ≥II complications occur in roughly one in five patients after c...

MoCaPS: a machine learning model for stratification of cancer-associated cachexia based on blood biomarkers.

Identification of minimally invasive biomarkers of cancer-associated cachexia may help to recognize ...

An efficient framework for real-time colorectal polyp detection using local outlier factor-based preprocessing and YOLOv11n.

Timely and accurate detection of colorectal polyps plays an important role in the prevention and ear...

Deep Learning Predicts Imminent Tumor Progression in Advanced Pancreatic Adenocarcinoma Using Serial CT Scans During Chemotherapy.

Advanced pancreatic ductal adenocarcinoma (PDAC) often progresses rapidly during chemotherapy despit...

AI-driven multi-omics deciphering of extrachromosomal circular DNA rescues hidden targets in colorectal cancer.

BACKGROUND: Extrachromosomal circular DNA (eccDNA) is an emerging tumor biomarker notable for its tu...

Identifying Potential Exosome-Derived mRNA Biomarkers for Diagnosis and Prediction of Breast Cancer Using Machine-Learning Approaches.

INTRODUCTION: Breast cancer remains a major global health burden, underscoring the urgent need for r...

Clinical Study on the Prevention of High-Risk Pulmonary Nodule Progression With Yifei Sanjie Pill: Protocol for a Multicenter Randomized Controlled Trial.

BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represe...

An explainable multimodal 2.5D deep learning-radiomics model for predicting extranodal extension in lung adenocarcinoma using preoperative CT: a multicenter retrospective cohort study.

OBJECTIVE: This study aimed to develop the Radiomics-Assembled ENE system (RAIEm), a multimodal preo...

MRI-based radiomics interpretable model predicts microsatellite instability status in endometrioid adenocarcinoma.

OBJECTIVE: To develop and validate a multiparametric MRI-based radiomics model for noninvasive preop...

Automated model-based lesion tracking in CT: colorectal liver metastases as a use case for development and performance analysis.

OBJECTIVE: To develop and evaluate an automated CT liver lesion-tracking algorithm that matches lesi...

Use of an AI Image Recognition-Based Smartphone App in Personalized Bowel Preparation Before Colonoscopy: Prospective Randomized Controlled Trial.

BACKGROUND: Sufficient bowel preparation is critical for increasing the quality of colonoscopy. Howe...

Improving preoperative risk stratification in colorectal liver metastases: a multi-institutional evaluation of multimodal prediction models.

Reliable prognostic models of death or liver recurrence following resection of colorectal liver meta...

Multi-omics machine learning-driven investigation of super-enhancers signatures and prognostic biomarkers in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is the most common histological subtype of malignant lung tumors, charact...

Machine learning-based prognostic model and single-cell transcriptomic integration for identifying brain metastasis-associated malignant subpopulations and potential therapeutic targets in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) is a highly prevalent and lethal form of lung cancer. Brain m...

Pharmacogenomics in oncology: mutation-targeted therapy and biomarker integration in non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is the most common cancer-related cause of death among all countr...

The slope of enlightenment: Towards a more realistic understanding of the strengths and weaknesses of artificial intelligence for colorectal polyp assessment.

Artificial intelligence (AI) has rapidly evolved into a transformative adjunct to gastrointestinal (...

Novel application of attention-enhanced hybrid efficient net for multi-scale histopathological cancer classification.

Examination of high-resolution whole-slide images requires an analysis of the histopathological imag...