Oncology/Hematology

Other Cancers

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

8,314 articles
Stay Ahead - Weekly Other Cancers research updates
Subscribe
Browse Categories
Showing 988-1008 of 8,314 articles
Multimodal treatment of colorectal liver metastases: Where are we? Current strategies and future perspectives.

Despite the continued high prevalence of colorectal cancer in the Western world, recent years have w...

Deep learning based on intratumoral heterogeneity predicts histopathologic grade of hepatocellular carcinoma.

OBJECTIVES: The potential of medical imaging to non-invasively assess intratumoral heterogeneity (IT...

Multimodal diagnostic models and subtype analysis for neoadjuvant therapy in breast cancer.

BACKGROUND: Breast cancer, a heterogeneous malignancy, comprises multiple subtypes and poses a subst...

Identification of prognostic subtypes and the role of FXYD6 in ovarian cancer through multi-omics clustering.

BACKGROUND: Ovarian cancer (OC), as a malignant tumor that seriously endangers the lives and health ...

LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning.

BACKGROUND: Hepatocellular carcinoma (HCC) is often diagnosed using gadoxetate disodium-enhanced mag...

Histopathology based AI model predicts anti-angiogenic therapy response in renal cancer clinical trial.

Anti-angiogenic (AA) therapy is a cornerstone of metastatic clear cell renal cell carcinoma (ccRCC) ...

A Learnable Prior Improves Inverse Tumor Growth Modeling.

Biophysical modeling, particularly involving partial differential equations (PDEs), offers significa...

Explainable attention-enhanced heuristic paradigm for multi-view prognostic risk score development in hepatocellular carcinoma.

PURPOSE: Existing prognostic staging systems depend on expensive manual extraction by pathologists, ...

Aggregation induced emission luminogen bacteria hybrid bionic robot for multimodal phototheranostics and immunotherapy.

Multimodal phototheranostics utilizing single molecules offer a "one-and-done" approach, presenting ...

AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation.

BACKGROUND: Magnetic Resonance (MR) imaging is the preferred modality for staging in rectal cancer; ...

CQENet: A segmentation model for nasopharyngeal carcinoma based on confidence quantitative evaluation.

Accurate segmentation of the tumor regions of nasopharyngeal carcinoma (NPC) is of significant impor...

Segment Like A Doctor: Learning reliable clinical thinking and experience for pancreas and pancreatic cancer segmentation.

Pancreatic cancer is a lethal invasive tumor with one of the worst prognosis. Accurate and reliable ...

Integration of Photodiagnosis and Therapy Guided by Micro/Nanorobots.

Micro/Nanorobots(MNRs)integrated with phototherapy represent an emerging approach to cancer treatmen...

Machine learning reveals glycolytic key gene in gastric cancer prognosis.

Glycolysis is recognized as a central metabolic pathway in the neoplastic evolution of gastric cance...

Deep learning empowered gadolinium-free contrast-enhanced abbreviated MRI for diagnosing hepatocellular carcinoma.

BACKGROUND & AIMS: By reducing some magnetic resonance imaging (MRI) sequences, abbreviated MRI (aMR...

Browse Categories