Oncology/Hematology

Other Cancers

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

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Showing 148-168 of 8,290 articles
Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules.

BACKGROUND: Pulmonary Nodules (PNs) are a trend considered as the early manifestation of lung cancer...

Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment.

DNA metabolism genes play pivotal roles in the regulation of cellular processes that contribute to c...

Deep learning-based ultrasound diagnostic model for follicular thyroid carcinoma.

OBJECTIVES: It is challenging to preoperatively diagnose follicular thyroid carcinoma (FTC) on ultra...

Performance of Machine Learning in Diagnosing KRAS (Kirsten Rat Sarcoma) Mutations in Colorectal Cancer: Systematic Review and Meta-Analysis.

BACKGROUND: With the widespread application of machine learning (ML) in the diagnosis and treatment ...

Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis.

Current approaches to estimating cell trajectories, tumor progression dynamics, and cell population ...

AI Prognostication in Nonsmall Cell Lung Cancer: A Systematic Review.

The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...

Investigating brain tumor classification using MRI: a scientometric analysis of selected articles from 2015 to 2024.

BACKGROUND: Magnetic resonance imaging (MRI) is a non-invasive method widely used to evaluate abnorm...

Integrating bulk and single cell sequencing data to identify prognostic biomarkers and drug candidates in HBV associated hepatocellular carcinoma.

Hepatitis B virus (HBV) infection is a major driver of hepatocellular carcinoma (HCC), yet the mecha...

Exploring personalized neoadjuvant therapy selection strategies in breast cancer: an explainable multi-modal response model.

BACKGROUND: Neoadjuvant therapy (NAT) regimens for breast cancer are generally determined according ...

Research on lung cancer diagnosis based on machine learning.

BackgroundIn clinical diagnosis, determining the level of malignancy in tumors and differentiating b...

Prognostic and Predictive Value of Machine Learning-Based Biomarker and Pathomics Signatures in Patients With Prostate Cancer.

Recurrence and the potential development of castration resistance after radical prostatectomy (RP) a...

Predicting liver metastasis in colorectal cancer patients using routine biochemical tests enhanced by machine learning.

BACKGROUND: Liver is the most common metastatic site in colorectal cancer. This study aims to evalua...

Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data.

Gliomas are the most prevalent malignant primary brain tumors and present diagnostic challenges due ...

Non-invasive tests of fibrosis in the management of MASLD: revolutionising diagnosis, progression and regression monitoring.

With the recent conditional approval of resmetirom by the US Food and Drug Administration, the treat...

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