Oncology/Hematology

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

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Showing 589-609 of 17,001 articles
AI-Driven Rational Design of Nanotherapeutics for Pancreatic Ductal Adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) remains a formidable malignancy characterized by late diagno...

(1)
Sep 2026 42698344
A CECT-Based 2PI System as a Novel Noninvasive Prognostic Tool for Hepatocellular Carcinoma: A Dual-Validation Study.

This study aimed to develop and validate machine learning (ML) models integrating clinical parameter...

(1)
Sep 2026 42698363
Development of a Computational Histology Artificial Intelligence-Powered Prognostic Biomarker in Colorectal Cancer in The Cancer Genome Atlas.

BACKGROUND: Risk stratification in colorectal cancer (CRC) plays an important role in treatment deci...

(1)
Sep 2026 42730462
Topology-preserved transformer-based CBCT-CT registration via normalized gradient field guidance for nasopharyngeal carcinoma.

Accurate deformable registration between planning CT (computed tomography) and cone-beam CT (CBCT) i...

Sep 2026 42740817
Deep learning in breast cancer histopathology: predicting and detecting axillary lymph node metastasis.

Deep learning (DL) methods are increasingly applied to digitized hematoxylin and eosin (H&E) slides ...

Sep 2026 42696054
Machine Learning Models for Predicting Response to Percutaneous Transhepatic Biliary Drainage in Malignant Obstructive Jaundice: A Retrospective Cohort Study.

BACKGROUND AND AIMS: Percutaneous transhepatic biliary drainage (PTBD) is a standard palliative inte...

(2)
Sep 2026 42696113
Governing artificial intelligence in cancer care: Perspectives and recommendations from patient organizations and the MULTIR consortium.

BACKGROUND: Artificial intelligence (AI) has the potential to improve cancer care. Its implementatio...

(1)
Sep 2026 42697525
MST-Net: a multi-scale spatial transformation network for automated T2/T3 staging of rectal cancer on preoperative T2-weighted MRI.

OBJECTIVE: This study aimed to develop a deep learning model (MST-Net) for the segmentation-free aut...

Sep 2026 42698053
Interpretable machine learning for individualized survival prediction in node-positive, non-metastatic prostate cancer: a population-based study.

BACKGROUND: Prostate cancer with regional lymph node involvement but no distant metastasis (N1M0) ha...

(2)
Sep 2026 42690326
Improved virtual non-contrast images in liver dual-energy CT with deep learning algorithm for image reconstruction.

BACKGROUND: We aimed to explore the use of deep learning image reconstruction (DLIR) to improve virt...

(3)
Sep 2026 42690280
Hierarchical contrastive learning from GP-recorded and eGFR labels for CKD staging.

Chronic kidney disease staging from longitudinal clinical records is challenging because routinely r...

(2)
Sep 2026 42690529
Lightweight Transformer-based knowledge distillation framework for high-dimensional spatiotemporal radiomics in breast cancer risk prediction.

Breast cancer exhibits significant spatiotemporal heterogeneity. Traditional radiomics approaches us...

Sep 2026 42690533
Machine Learning and Molecular Modeling Reveal HDAC6 as a Key Target of Tanshinone IIA in Multiple Myeloma.

Multiple myeloma (MM) is a malignant blood cancer marked by severe bone destruction and immune micro...

(3)
Sep 2026 42691419
CLDN18 as a novel junctional biomarker enhancing multi-gene classification of pancreatic cancer.

Pancreatic adenocarcinoma (PAAD) remains one of the most lethal cancers, largely due to the lack of ...

(2)
Sep 2026 42691511
Parametric delineation of the clinical target volume for glioma: Model-based approach that tailors to physician contouring practices.

BACKGROUND AND PURPOSE: Delineating the clinical target volume (CTV) is an essential part of a radia...

(3)
Sep 2026 42692084
Machine learning identifies ac4C-related prognostic signature and TUBA1C as therapeutic target in COAD.

To explore the role of N4-acetylcytidine (ac4C)-related genes (acRGs) in colon adenocarcinoma (COAD)...

(2)
Sep 2026 42693326
Internal validation of THINKERS-PA for outcome prediction after pituitary adenoma radiosurgery.

BACKGROUND: Outcome prediction after Gamma Knife radiosurgery (GKRS) for pituitary adenomas remains ...

(1)
Sep 2026 42693349
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