Oncology/Hematology

Other Cancers

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

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Tumor cell villages define the co-dependency of tumor and microenvironment in liver cancer.

Spatial cellular context is crucial in shaping intratumor heterogeneity. However, understanding how ...

Feb 2026 41723121
A comparative analysis of data-driven models for breast cancer survival prediction.

Breast cancer is the most frequently diagnosed cancer among women and persists as a societal problem...

Feb 2026 41723213
Lactate metabolism-driven tumor heterogeneity and molecular signatures in intrahepatic cholangiocarcinoma.

BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) is a highly aggressive liver malignancy with limit...

Feb 2026 41694488
Emerging trends and converging evidence in tumor evolution: A comprehensive review.

BACKGROUND: Tumor evolution is a spatiotemporal dynamic process orchestrated by the interplay of gen...

Feb 2026 41747370
A perturbed multilayer perceptron approach to predicting distant metastatic sites of cancer patients.

Cancer metastasis accounts for about 90% of cancer-related mortality, but is difficult to predict. I...

Feb 2026 41723997
Artificial Intelligence Impact on Radiologist Performance in Breast Cancer Screening with Digital Breast Tomosynthesis.

PURPOSE: Assess impact of artificial intelligence (AI) on radiologists' detection of cancer on digit...

Feb 2026 41724219
Immunotherapy in Triple-Negative Breast Cancer: From Molecular Mechanisms to Precision Medicine-Overcoming Resistance and Optimizing Clinical Outcomes.

Triple-negative breast cancer (TNBC) is the most violent type of breast cancer, in which estrogen re...

Feb 2026 41724338
Distinction Between Benign and Borderline/Malignant Phyllodes Tumor in Breast Mammography and Ultrasound Based on Radiomics Methods.

RATIONALE AND OBJECTIVES: This study aims to evaluate whether radiomics methods used on breast mammo...

Feb 2026 41723040
Machine Learning Prediction of Recurrence in Pediatric Thyroid Cancer: Malignant Endocrine Tumors Cohort Analysis Using XGBoost and SHAP.

CONTEXT: Pediatric differentiated thyroid carcinoma (DTC) often presents with advanced disease but g...

Feb 2026 40890050
Machine learning based classification of aggressive and malignant renal tumors from multimodal data.

This study aimed to develop and evaluate a machine learning pipeline using multiphase contrast-enhan...

Feb 2026 41719307
Biomarkers and advances in AML-MRC: from bench to bedside.

Acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) represents a high-risk subtype ...

Feb 2026 41711916
The optimal conditioning intensity of stem cell transplantation for acute myeloid leukemia in complete remission.

UNLABELLED: This study aimed to identify patient groups in which myeloablative conditioning (MAC) or...

Feb 2026 41711974
Dual-Stream Deep Feature and Cell Phenotype Fusion Model for the Diagnosis of Myeloproliferative Neoplasms.

Diagnosing myeloproliferative neoplasms (MPNs) is challenging due to the nuanced and overlapping cli...

Feb 2026 41722652
Privacy-preserving multimodal fusion for Alzheimer's staging: A federated vision transformer framework with explainable AI.

Accurate, early-stage staging of Alzheimer's disease (AD) is critical for therapeutic intervention b...

Feb 2026 41723900
Non-invasive screening for ovarian cancer by combining serum SERS with interpretable machine learning models.

Early identification of malignant ovarian tumors is critical for informing treatment decisions and e...

Feb 2026 41724105
Top Ten Tips Palliative Care Clinicians Should Know About the Future of Artificial Intelligence.

Artificial intelligence (AI) is transforming health care and has implications for palliative care (P...

Feb 2026 40824746
SCMO: a deep learning model integrating the single-cell resolution TME ecosystem and multi-omics for survival prediction in CRC patients.

BACKGROUND: Colorectal cancer (CRC) remains a leading cause of global cancer mortality, highlighting...

Feb 2026 41715092
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