Colon Cancer

Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules.

Microinvasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) require distinct treatment stra...

Optimizing drug design by merging generative AI with a physics-based active learning framework.

Machine learning is transforming drug discovery, with generative models (GMs) gaining attention for ...

Artificial intelligence-assisted colonoscopy: excellent results, but will mucosal exposure devices push this boundary?

CAS-Colon: A Comprehensive Colonoscopy Anatomical Segmentation Dataset for Artificial Intelligence Development.

Artificial intelligence (AI) holds immense potential to transform gastrointestinal endoscopy by redu...

Multi-module UNet++ for colon cancer histopathological image segmentation.

In the pathological diagnosis of colorectal cancer, the precise segmentation of glandular and cellul...

Renji endoscopic submucosal dissection video data set for colorectal neoplastic lesions.

Artificial intelligence advancements have significantly enhanced computer-aided intervention, learni...

Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network.

Lung adenocarcinoma (LUAD), the most common non-small cell lung cancer subtype, often presents with ...

Evaluation of Net Withdrawal Time and Colonoscopy Video Summarization Using Deep Learning Based Automated Temporal Video Segmentation.

Adequate withdrawal time is crucial in colonoscopy, as it is directly associated with polyp detectio...

Personalized colorectal cancer risk assessment through explainable AI and Gut microbiome profiling.

The clinical adenoma - carcinoma progression represents a well-established framework for understandi...

Ensemble of Handcrafted and Learned Features for Colorectal Cancer Classification.

Colorectal cancer (CRC) remains one of the most common and lethal malignancies worldwide. The curren...

Can Machine Learning Predict Metastatic Sites in Pancreatic Ductal Adenocarcinoma? A Radiomic Analysis.

Pancreatic ductal adenocarcinoma (PDAC) exhibits high metastatic potential, with distinct prognoses ...

An interpretable CT-based machine learning model for predicting recurrence risk in stage II colorectal cancer.

OBJECTIVES: This study aimed to develop an interpretable 3-year disease-free survival risk predictio...

Integrated transcriptomic and functional modeling reveals AKT and mTOR synergy in colorectal cancer.

Colorectal cancer (CRC) treatment remains challenging due to genetic heterogeneity and resistance me...

Mitochondrial Pathway Signature (MitoPS) predicts immunotherapy response and reveals NDUFB10 as a key immune regulator in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer. Alt...

Effectiveness of Radiomics-Based Machine Learning Models in Differentiating Pancreatitis and Pancreatic Ductal Adenocarcinoma: Systematic Review and Meta-Analysis.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) and mass-forming pancreatitis (MFP) share simila...

Machine learning-driven prognostic and diagnostic models for lung adenocarcinoma using intratumor heterogeneity and multi-omics data.

Intratumor heterogeneity (ITH) significantly impacts cancer prognosis and treatment response. Focusi...

Automating Colon Polyp Classification in Digital Pathology by Evaluation of a "Machine Learning as a Service" AI Model: Algorithm Development and Validation Study.

BACKGROUND: Artificial intelligence (AI) models are increasingly being developed to improve the effi...

Effect of spatial resolution on the diagnostic performance of machine-learning radiomics model in lung adenocarcinoma: comparisons between normal- and high-spatial-resolution imaging for predicting invasiveness.

PURPOSE: To construct two machine learning radiomics (MLR) for invasive adenocarcinoma (IVA) predict...

Longitudinal single-cell RNA model aids prediction of EGFR-TKI resistance.

Resistance is inevitable and a major challenge in treating Lung adenocarcinoma (LUAD) patients with ...

Gut microbiome in gastrointestinal neoplasms: from mechanisms to precision therapeutic strategies.

BACKGROUND: The incidence of Gastrointestinal Neoplasms (GI neoplasms) continues to increase globall...

Exploring doctors' perspectives on precision medicine and AI in colorectal cancer: opportunities and challenges for the doctor-patient relationship.

BACKGROUND: Precision medicine and artificial intelligence (AI) are increasingly integrated into col...