Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

15,190 articles
Stay Ahead - Weekly Oncology/Hematology research updates
Subscribe
Browse Specialties
Showing 43-63 of 15,190 articles
Deep learning-based radiomics does not improve residual cancer burden prediction post-chemotherapy in LIMA breast MRI trial.

OBJECTIVES: This study aimed to evaluate the potential additional value of deep radiomics for assess...

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 ...

Next-generation smart wound dressings: AI integration, biosensors, and electrospun nanofibers for chronic wound therapy.

Polymeric biomaterials, particularly electrospun nanofibers, are increasingly central to the develop...

Metabolic Adaptation Study of Tumor Cells during Lung Cancer Bone Metastasis in Mice Based on Single-Cell Metabolome Analysis.

Lung cancer metastasis, the leading cause of patient mortality, is driven by circulating tumor cells...

Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients.

BACKGROUND: Hepatocellular carcinoma with pulmonary metastasis (HCC-PM) is a common complication of ...

Readability analysis of breast cancer resources shared on X-implications for patient education and the potential of AI.

PURPOSE: Breast cancer remains a global public health burden. This study aimed to evaluate the reada...

Identification of copper related biomarkers in breast cancer using machine learning.

BACKGROUND: Breast cancer is the most prevalent and deadly cancer among women globally, necessitatin...

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic ineq...

Acute Leukemia Warning Model Combined CBC and CPD Data Based on Machine Learning.

BACKGROUND: Early diagnosis plays a crucial role in improving the survival rate of acute leukemia (A...

Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancer.

Radiotherapy is the main treatment modality of oropharyngeal cancer (OPC), in which an accurate segm...

Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images.

Kidney cancer is a leading cause of cancer-related mortality, with renal cell carcinoma (RCC) being ...

Machine Learning-Enhanced Calculation of Quantum-Classical Binding Free Energies.

Binding free energies are key elements in understanding and predicting the strength of protein-drug ...

A novel lung cancer diagnosis model using hybrid convolution (2D/3D)-based adaptive DenseUnet with attention mechanism.

Existing Lung Cancer Diagnosis (LCD) models have difficulty in detecting early-stage lung cancer due...

Established and emerging biomarkers approaches in Urothelial carcinoma.

INTRODUCTION: Urothelial carcinoma (UC) is marked by significant molecular heterogeneity and this co...

Brain tumor segmentation by optimizing deep learning U-Net model.

BackgroundMagnetic Resonance Imaging (MRI) is a cornerstone in diagnosing brain tumors. However, the...

Predicting Chemotherapy-Induced Peripheral Neuropathy Using Transformer-Based Multimodal Deep Learning.

Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating adverse effect of ca...

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

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

Harnessing the Potential of Carotenoids for Cancer Therapy: An Integrated Machine Learning and MST Based Approach.

Receptor tyrosine kinases (RTKs) are high-affinity membrane-anchored receptors involved in cellular ...

Browse Specialties