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Showing 5713-5733 of 7,005 articles

Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation

The causal relationships between biomarkers are essential for disease diagnosis and medical treatm...

Apr 2025 http://arxiv.org/abs/2504.08768v1

MoLPre: A Machine Learning Model to Predict Metastasis of cT1 Solid Lung Cancer.

Given that more than 20% of patients with cT1 solid NSCLC showed nodal or extrathoracic metastasis, ...

Apr 2025 40143527

Machine Learning Unveils Sphingolipid Metabolism's Role in Tumour Microenvironment and Immunotherapy in Lung Cancer.

TME is a core player in the development of a cancerous lesion, the immune evasive potential of the l...

Apr 2025 40159631

PD-L1 Scoring Models for Non-Small Cell Lung Cancer in China: Current Status, AI-Assisted Solutions and Future Perspectives.

Immunotherapy has revolutionized the diagnosis and treatment model for patients with advanced non-sm...

Apr 2025 40189932

Enhanced CT and MRI Focal Bone Tumor Classification with Machine Learning-based Stratification: A Multicenter Retrospective Study.

Background Standardized bone tumor reporting is crucial for consistent, risk-aligned patient managem...

Apr 2025 40261174

Integrating Bioinformatics and Machine Learning to Identify Glucose Metabolism-Related Biomarkers with Diagnostic and Prognostic Value for Patients with Kidney Renal Clear Cell Carcinoma.

BACKGROUND: Glucose metabolism plays a critical role in the development and progression of kidney re...

Apr 2025 40341002

Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing

Leveraging multi-center data for medical analytics presents challenges due to privacy concerns and...

Mar 2025 http://arxiv.org/abs/2504.00150v1

MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning

Oncologists often rely on a multitude of data, including whole-slide images (WSIs), to guide thera...

Mar 2025 http://arxiv.org/abs/2503.23042v1

Attention Xception UNet (AXUNet): A Novel Combination of CNN and Self-Attention for Brain Tumor Segmentation

Accurate segmentation of glioma brain tumors is crucial for diagnosis and treatment planning. Deep...

Mar 2025 http://arxiv.org/abs/2503.20446v1

PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images

Breast cancer survival prediction in computational pathology presents a remarkable challenge due t...

Mar 2025 http://arxiv.org/abs/2503.17970v1

Ex vivo experiment on vertebral body with defect representing bone metastasis

Osteolytic metastases located in the vertebrae reduce strength and enhance the risk of vertebral f...

Mar 2025 http://arxiv.org/abs/2503.17047v1

Model development and validation for predicting small-cell lung cancer bone metastasis utilizing diverse machine learning algorithms based on the SEER database.

The aim of this study was to devise a machine learning algorithm with superior performance in predic...

Mar 2025 40128015

Mapping intellectual structure and research hotspots of cancer studies in primary health care: A machine-learning-based analysis.

In the contemporary fight against cancer, primary health care (PHC) services hold a significant and ...

Mar 2025 40128045

Oncology/Hematology

Browse Categories

Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation

MoLPre: A Machine Learning Model to Predict Metastasis of cT1 Solid Lung Cancer.

Machine Learning Unveils Sphingolipid Metabolism's Role in Tumour Microenvironment and Immunotherapy in Lung Cancer.

PD-L1 Scoring Models for Non-Small Cell Lung Cancer in China: Current Status, AI-Assisted Solutions and Future Perspectives.

Enhanced CT and MRI Focal Bone Tumor Classification with Machine Learning-based Stratification: A Multicenter Retrospective Study.

Integrating Bioinformatics and Machine Learning to Identify Glucose Metabolism-Related Biomarkers with Diagnostic and Prognostic Value for Patients with Kidney Renal Clear Cell Carcinoma.

Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing

MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning

Attention Xception UNet (AXUNet): A Novel Combination of CNN and Self-Attention for Brain Tumor Segmentation

PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images

Ex vivo experiment on vertebral body with defect representing bone metastasis

Model development and validation for predicting small-cell lung cancer bone metastasis utilizing diverse machine learning algorithms based on the SEER database.

Mapping intellectual structure and research hotspots of cancer studies in primary health care: A machine-learning-based analysis.

Enhancing Pancreatic Cancer Staging with Large Language Models: The Role of Retrieval-Augmented Generation

A Language Vision Model Approach for Automated Tumor Contouring in Radiation Oncology

MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts

Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance

Predicting Treatment Response in Body Dysmorphic Disorder with Interpretable Machine Learning

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Deformable Registration Framework for Augmented Reality-based Surgical Guidance in Head and Neck Tumor Resection

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