Oncology/Hematology

Other Cancers

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

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Multilevel Inter-modal and Intra-modal Transformer network with domain adversarial learning for multimodal sleep staging.

Sleep staging identification is a fundamental task for the diagnosis of sleep disorders. With the de...

Improving brain tumor diagnosis: A self-calibrated 1D residual network with random forest integration.

Medical specialists need to perform precise MRI analysis for accurate diagnosis of brain tumors. Cur...

Machine learning-driven prognostic model based on sphingolipid-related gene signature in pancreatic cancer: development and validation.

BACKGROUND: Pancreatic cancer, a highly malignant tumor with poor prognosis, lacks effective early d...

Radiomics-Based Classification of Clear Cell Renal Cell Carcinoma ISUP Grade: A Machine Learning Approach with SHAP-Enhanced Explainability.

: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cancer, and its progno...

Radiomics based on dual-energy CT for noninvasive prediction of cervical lymph node metastases in patients with nasopharyngeal carcinoma.

INTRODUCTION: To develop and validate a machine learning model based on dual-energy computed tomogra...

High-fidelity in silico generation and augmentation of TCR repertoire data using generative adversarial networks.

Engineered T-cell receptor (eTCR) systems rely on accurately generated T-cell receptor (TCR) sequenc...

A novel fractional computational neural framework for analyzing cancer model under chemotherapy drug.

In this study, a novel Caputo fractional-order model is proposed to represent the complex interactio...

Multiomics in Renal Cell Carcinoma: Current Landscape and Future Directions for Precision Medicine.

PURPOSE OF REVIEW: Renal cell carcinoma (RCC) is a prevalent and increasingly diagnosed malignancy a...

The development of predictive biomarkers and immunologic markers for breast cancer: current status and future perspectives.

Breast cancer is the leading cause of cancer-related mortality among women worldwide. The developmen...

MobNas ensembled model for breast cancer prediction.

Breast cancer poses a real and immense threat to humankind, thus a need to develop a way of diagnosi...

Explainable machine learning and feature interpretation to predict survival outcomes in the treatment of lung cancer.

The treatment outcomes of lung cancer are highly variable, and machine learning (ML) models provide ...

Integrative multi-omics reveal NSUN2 facilitates glycolysis and histone lactylation-driven immune evasion in renal carcinoma.

Clear cell renal carcinoma (ccRCC) is the most prevalent and aggressive subtype of kidney cancer. Ta...

Prognostic model identification of ribosome biogenesis-related genes in pancreatic cancer based on multiple machine learning analyses.

BACKGROUND: Pancreatic cancer is a highly aggressive cancer characterized by low survival rate. Enha...

Liquid Biopsy: The Challenges of a Revolutionary Approach in Oncology.

Liquid biopsy has gained attention in oncology as a non-invasive diagnostic tool, offering valuable ...

Multiscale analysis and optimal glioma therapeutic candidate discovery using the CANDO platform.

Glioma is a highly malignant brain tumor with limited treatment options. We employed the Computation...

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