Oncology/Hematology

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

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Showing 253-273 of 15,190 articles
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...

Clinical Translation of Integrated PET-MRI for Neurodegenerative Disease.

The prevalence of Alzheimer's disease and other dementias is increasing as populations live longer l...

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...

AI-based virtual immunocytochemistry for rapid and robust fine needle aspiration biopsy diagnosis.

Presently, pathologists need to stain biopsy samples with standard and antibody-based immunocytochem...

Microbiome-based prediction of allogeneic hematopoietic stem cell transplantation outcome.

BACKGROUND: Allogeneic hematopoietic stem cell transplantation (HSCT) is potentially curative for he...

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...

Challenges and Opportunities in the Application of CRISPR-Cas9: A Review on Genomic Editing and Therapeutic Potentials.

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and the CRISPR-associated protein...

FSS-ULivR: a clinically-inspired few-shot segmentation framework for liver imaging using unified representations and attention mechanisms.

Precise liver segmentation is critical for accurate diagnosis and effective treatment planning, serv...

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