Oncology/Hematology

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

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Showing 1744-1764 of 17,025 articles
Biomarker-based machine learning for malignant transformation in oral potentially malignant disorders: a scoping review.

Oral squamous cell carcinoma (OSCC) is often preceded by oral potentially malignant disorders (OPMDs...

Jun 2026 42365263
O-RADS for assessment of adnexal lesions: current status, challenges and future directions.

The Ovarian-Adnexal Reporting and Data System (O-RADS), developed by the American College of Radiolo...

Jun 2026 42365347
Navigating AI and machine learning in cancer research: an end-to-end translational framework.

Cancer is a complex and heterogeneous disease that is characterized by multi-level biological variab...

Jun 2026 42365374
An interpretable framework for cancer drug response prediction using integrated drug and multi-omics data with a hybrid Bi-LSTM-GRU network.

Previous studies have shown that efficient and effective drugs and cell line representation can impr...

Jun 2026 42385452
Robotic versus Laparoscopic Colectomy for Cancer.

Minimally invasive colon and rectal surgery provides oncologic outcomes at least equivalent to open ...

Jun 2026 42556946
Integrative analysis of machine learning and single-cell sequencing identifies IGHG1 as a therapeutic target for epimedium in diabetes-gastric cancer comorbidity.

BACKGROUND: The clinical comorbidity of diabetes mellitus (DM) and gastric cancer (GC) presents a si...

(3)
Jun 2026 42364318
Radiation scatter at fluoroscopy-guided endoscopic procedures: Building towards further optimization.

INTRODUCTION: Exposure to ionizing radiation by endoscopy personnel during fluoroscopy-guided proced...

(2)
Jun 2026 42358121
Machine learning prediction of axillary lymph node metastasis using multimodal ultrasound in breast cancer.

OBJECTIVES: Accurate prediction of axillary lymph node metastasis (ALNM) is crucial for tailoring br...

Jun 2026 42359462
Artificial intelligence in genitourinary oncology: publication trends and systematic review.

OBJECTIVE: To conduct an analysis of publication trends and a systematic review of randomized contro...

Jun 2026 42360093
AI-assisted digital breast tomosynthesis as a decision-support tool for post-neoadjuvant surgical planning in breast cancer.

PURPOSE: Accurate assessment of residual disease after neoadjuvant chemotherapy (NAC) is essential f...

Jun 2026 42360378
Multidrug resistance in cancer: current understandings and future perspective.

Multidrug resistance (MDR) remains the core clinical barrier limiting the achievement of durable and...

Jun 2026 42360409
Disulfidptosis-related signatures identify SPARC+/CYR61+ stromal cells mediating immunosuppression in gastric cancer.

BACKGROUND: Disulfidptosis is a novel form of glucose starvation-induced cell death, yet its prognos...

(1)
Jun 2026 42360660
The Cancer Metallome Continuum: A Framework for Understanding Metal Dysregulation from Carcinogenesis to Therapeutic Resistance.

Metals and metalloids play essential roles in cancer biology, influencing redox balance, epigenetic ...

Jun 2026 42360712
AI-Based Pathology classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial.

PURPOSE: The ENZAMET trial established that enzalutamide added to androgen deprivation therapy (ADT)...

(5)
Jun 2026 42360803
Machine Learning-Based single-cell characterization of lipid metabolic reprogramming in prostate cancer.

Prostate cancer (PCa) is one of the most prevalent malignancies in men worldwide, and metabolic repr...

Jun 2026 42361409
Tracer-agnostic diffusion model-based CT-free attenuation correction for brain PET: Comprehensive evaluation across 14 tracers.

OBJECTIVE: Accurate attenuation correction (AC) is critical in quantitative brain PET imaging. Conve...

(2)
Jun 2026 42361833
Diagnosing lung disorder and optimal classification using dense convolution (Dc)-CapsNet technique.

Lung carcinoma is regarded as lung cancer and is the usual form of cancers worldwide. It cannot be d...

(2)
Jun 2026 42362656
Interpretable graph neural networks for predicting drug activity in triple-negative breast cancer using scaffold-based splits.

Triple-negative breast cancer (TNBC) is an oncology indication with urgent need for drug discovery a...

Jun 2026 42362709
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