Oncology/Hematology

Other Cancers

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

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Showing 5545-5565 of 7,005 articles
A Network-Guided Penalized Regression with Application to Proteomics Data

Network theory has proven invaluable in unraveling complex protein interactions. Previous studies ...

Prediction of clinical stages of cervical cancer via machine learning integrated with clinical features and ultrasound-based radiomics.

To investigate the prediction of a model constructed by combining machine learning (ML) with clinica...

May 2025 40442164
Machine learning identifies SRD5A3 as a propionate-related prognostic biomarker in triple-negative breast cancer.

The increased risk of recurrence and metastasis are obstacles to treating TNBC. Propionate-related g...

May 2025 40442220
Comparative Analysis of Machine Learning Models for Lung Cancer Mutation Detection and Staging Using 3D CT Scans

Lung cancer is the leading cause of cancer mortality worldwide, and non-invasive methods for detec...

Harnessing artificial intelligence to address immune response heterogeneity in low-dose radiation therapy.

Low-dose radiation therapy has emerged as a promising modality for cancer treatment because of its a...

May 2025 40503475
Knowledge Distillation Approach for SOS Fusion Staging: Towards Fully Automated Skeletal Maturity Assessment

We introduce a novel deep learning framework for the automated staging of spheno-occipital synchon...

Hybrid Machine Learning and Mathematical Modeling for Tumor Dynamics Prediction: Comparing SPIONs against mNP-FDG

This is a Machine Learning guided study towards zone-specific ray therapy. Combining Machine Learn...

Progress in the application of fludeoxyglucose positron emission tomography computed tomography in biliary tract cancer.

Biliary tract cancer (BTC) is a group of heterogeneous sporadic diseases, including intrahepatic, hi...

May 2025 40501462
Differentiation of canine and feline neoplasms using multi-modal imaging and machine learning.

Canine/feline (sub-)cutaneous tumors, which include lipomas, mastocytomas and soft tissue sarcomas, ...

May 2025 40425716
Smart neural network and cognitive computing process for multi task nuclei detection segmentation and classification in breast cancer histopathology images.

The detection, segmentation, and differentiation of benign and malignant nuclei from the histopathol...

May 2025 40419621
[Integrated diagnosis and treatment of peritoneal metastasis in gastric cancer].

The high incidence and mortality rates of gastric cancer pose a significant burden on human health a...

May 2025 40404362
[Clinical value of medical imaging artificial intelligence in the diagnosis and treatment of peritoneal metastasis in gastrointestinal cancers].

Peritoneal metastasis is a key factor in the poor prognosis of advanced gastrointestinal cancer pati...

May 2025 40404364
Machine learning model for prediction of palliative care phases in patients with advanced cancer: a retrospective study.

BACKGROUND: Developing an accurate predictive model for palliative care phases is crucial for improv...

May 2025 40413472
Pixels to Prognosis: Harmonized Multi-Region CT-Radiomics and Foundation-Model Signatures Across Multicentre NSCLC Data

Purpose: To evaluate the impact of harmonization and multi-region CT image feature integration on ...

Identification of molecular subtypes and a prognostic signature based on machine learning and purine metabolism-related genes in breast cancer.

Breast cancer (BC), one of the most prevalent malignant tumors worldwide, lacks efficacious diagnost...

May 2025 40419914
Uncertainty quantification for deep learning-based metastatic lesion segmentation on whole body PET/CT.

Deep learning models are increasingly being implemented for automated medical image analysis to info...

May 2025 40378868
Generative adversarial DacFormer network for MRI brain tumor segmentation.

Current brain tumor segmentation methods often utilize a U-Net architecture based on efficient convo...

May 2025 40404794
Application of deep learning models in the pathological classification and staging of esophageal cancer: A focus on Wave-Vision Transformer.

BACKGROUND: Esophageal cancer is the sixth most common cancer worldwide, with a high mortality rate....

May 2025 40497091
Characterization of subepithelial tumors of upper gastrointestinal tract by endoscopic ultrasound.

In this article we comment on the paper by Xu describing retrospective data on endoscopic treatment...

May 2025 40497095
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