Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Enhancing ERα-targeted compound efficacy in breast cancer threapy with ExplainableAI and GeneticAlgorithm.

Breast cancer remains a major cause of mortality among women globally, driving the need for advanced...

Assessing the generalization capabilities of TCR binding predictors via peptide distance analysis.

Understanding the interaction between T Cell Receptors (TCRs) and peptide-bound Major Histocompatibi...

Data-Driven Defragmentation: Achieving Value-Based Sarcoma and Rare Cancer Care Through Integrated Care Pathway Mapping.

Sarcomas, a rare and complex group of cancers, require multidisciplinary care across multiple health...

The Role of Machine Learning to Detect Occult Neck Lymph Node Metastases in Early-Stage (T1-T2/N0) Oral Cavity Carcinomas.

OBJECTIVE: Oral cavity carcinomas (OCCs) represent roughly 50% of all head and neck cancers. The ris...

Integrative analysis of epigenetic and transcriptional interrelations identifies histotype-specific biomarkers in early-stage ovarian carcinoma.

BACKGROUND: Epithelial ovarian cancer (EOC) is a deadly and heterogenous disease comprising five maj...

Preoperative DBT-based radiomics for predicting axillary lymph node metastasis in breast cancer: a multi-center study.

BACKGROUND: In the prognosis of breast cancer, the status of axillary lymph nodes (ALN) is criticall...

Semiautomated segmentation of breast tumor on automatic breast ultrasound image using a large-scale model with customized modules.

To verify the capability of the Segment Anything Model for medical images in 3D (SAM-Med3D), tailore...

Federated Learning for Renal Tumor Segmentation and Classification on Multi-Center MRI Dataset.

BACKGROUND: Deep learning (DL) models for accurate renal tumor characterization may benefit from mul...

Transformer model based on Sonazoid contrast-enhanced ultrasound for microvascular invasion prediction in hepatocellular carcinoma.

BACKGROUND: Microvascular invasion (MVI) is strongly associated with the prognosis of patients with ...

Revolutionizing precision oncology: the role of artificial intelligence in personalized pediatric cancer care.

Artificial intelligence (AI) has recently garnered significant public attention. Among the various f...

AI-based staging, causal hypothesis and progression of subjects at risk of Alzheimer's disease: a multicenter study.

INTRODUCTION: In 2024, 11 European scientific societies/organizations and one patient advocacy assoc...

The Role of Artificial Intelligence (ChatGPT-4o) in Supporting Tumor Board Decisions.

Artificial intelligence (AI) has emerged as a promising field in the era of personalized oncology d...

Deep learning feature-based model for predicting lymphovascular invasion in urothelial carcinoma of bladder using CT images.

OBJECTIVES: Lymphovascular invasion significantly impacts the prognosis of urothelial carcinoma of t...

Advancements in Hematologic Malignancy Detection: A Comprehensive Survey of Methodologies and Emerging Trends.

The investigation and diagnosis of hematologic malignancy using blood cell image analysis are major ...

Prognostic prediction model for Chinese uveal melanoma patients based on matrix metalloproteinase-2 and -28 expression levels in the tumor.

AIM: To explore the relationship between matrix metalloproteinases (MMPs) expression levels in the t...

Machine Learning Based Assessment of Inguinal Lymph Node Metastasis in Patients with Squamous Cell Carcinoma of the Vulva.

: Despite great efforts from both clinical and pathological sides to address the extent of metastati...

MRI-based radiomics for differentiating high-grade from low-grade clear cell renal cell carcinoma: a systematic review and meta-analysis.

PURPOSE: High-grade clear cell renal cell carcinoma (ccRCC) is linked to lower survival rates and mo...

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