Oncology/Hematology

Colon Cancer

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

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Showing 568-588 of 2,796 articles
Tumor-educated platelets in lung cancer.

Non-invasive diagnostic monitoring techniques have become essential for treating lung cancer (LC), w...

Apr 2025 40228574
Deep learning-based identification of patients at increased risk of cancer using routine laboratory markers.

Early screening for cancer has proven to improve the survival rate and spare patients from intensive...

Apr 2025 40221571
MLG2Net: Molecular Global Graph Network for Drug Response Prediction in Lung Cancer Cell Lines.

Drug response prediction (DRP) is a central task in the era of precision medicine. Over the past dec...

Apr 2025 40208442
Preoperative assessment in lymph node metastasis of pancreatic ductal adenocarcinoma: a transformer model based on dual-energy CT.

BACKGROUND: Deep learning(DL) models can improve significantly discrimination of lymph node metastas...

Apr 2025 40205450
Achieving flexible fairness metrics in federated medical imaging.

The rapid adoption of Artificial Intelligence (AI) in medical imaging raises fairness and privacy co...

Apr 2025 40199877
Enhancing polyp classification: A comparative analysis of spatio-temporal techniques.

Colorectal cancer (CRC) is a major health concern, ranking as the third deadliest cancer globally. E...

Apr 2025 40306886
Gap-App: A sex-distinct AI-based predictor for pancreatic ductal adenocarcinoma survival as a web application open to patients and physicians.

In this study, using RNA-Seq gene expression data and advanced machine learning techniques, we ident...

Apr 2025 40189015
Multi-Scale Group Agent Attention-Based Graph Convolutional Decoding Networks for 2D Medical Image Segmentation.

Automated medical image segmentation plays a crucial role in assisting doctors in diagnosing disease...

Apr 2025 40030822
A Tc1- and Th1-T-lymphocyte-rich tumor microenvironment is a hallmark of MSI colorectal cancer.

Microsatellite instability is a strong predictor of response to immune checkpoint therapy and patien...

Apr 2025 40181205
3D Hyperspectral Data Analysis with Spatially Aware Deep Learning for Diagnostic Applications.

Nowadays, with the rise of artificial intelligence (AI), deep learning algorithms play an increasing...

Apr 2025 40179245
Development and validation of machine learning models for early diagnosis and prognosis of lung adenocarcinoma using miRNA expression profiles.

ObjectiveStudy aims to develop diagnostic and prognostic models for lung adenocarcinoma (LUAD) using...

Apr 2025 40171815
Predictive models of epidermal growth factor receptor mutation in lung adenocarcinoma using PET/CT-based radiomics features.

BACKGROUND: Lung adenocarcinoma (LAC) comprises a substantial subset of non-small cell lung cancer (...

Apr 2025 40165657
A CNN-transformer fusion network for predicting high-grade patterns in stage IA invasive lung adenocarcinoma.

BACKGROUND: Invasive lung adenocarcinoma (LUAD) with the high-grade patterns (HGPs) has the potentia...

Apr 2025 40165728
A Novel Natural Language Processing Tool Improves Colonoscopy Auditing of Adenoma and Serrated Polyp Detection Rates.

BACKGROUND AND STUDY AIMS: Determining adenoma detection rate (ADR) and serrated polyp detection rat...

Mar 2025 40162890
Prediction of BRAF and TERT status in PTCs by machine learning-based ultrasound radiomics methods: A multicenter study.

BACKGROUND: Preoperative identification of genetic mutations is conducive to individualized treatmen...

Mar 2025 40242280
Development and Multi-center validation of a machine learning Model for advanced colorectal neoplasms screening.

BACKGROUND: In colorectal cancer (CRC) screening programs, accurately identifying individuals at hig...

Mar 2025 40157315
Lung cancer detection and classification using optimized CNN features and Squeeze-Inception-ResNeXt model.

Lung cancer, with its high mortality rate, is one of the deadliest diseases globally. The alarming i...

Mar 2025 40158238
Preoperative Prediction of STAS Risk in Primary Lung Adenocarcinoma Using Machine Learning: An Interpretable Model with SHAP Analysis.

BACKGROUND: Accurate preoperative prediction of spread through air spaces (STAS) in primary lung ade...

Mar 2025 40140276
A tumor-infiltrating B lymphocytes -related index based on machine-learning predicts prognosis and immunotherapy response in lung adenocarcinoma.

INTRODUCTION: Tumor-infiltrating B lymphocytes (TILBs) play a pivotal role in shaping the immune mic...

Mar 2025 40196113
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