Oncology/Hematology

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

15,297 articles
Stay Ahead - Weekly Oncology/Hematology research updates
Subscribe
Browse Categories
Showing 2374-2394 of 15,297 articles
Machine Learning-Based Pathomics Model Predicts Angiopoietin-2 Expression and Prognosis in Hepatocellular Carcinoma.

Angiopoietin-2 (ANGPT2) shows promise as prognostic marker and therapeutic target in hepatocellular ...

Quantitative immunohistochemistry analysis of breast Ki67 based on artificial intelligence.

Breast cancer is a common malignant tumor of women. Ki67 is an important biomarker of cell prolifera...

LC-MS profiling and cytotoxic activity of Angiopteris helferiana against HepG2 cell line: Molecular insight to investigate anticancer agent.

Liver cancer is one of the most prevalent malignant diseases in humans and the second leading cause ...

AI-Driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognostication.

Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of cancer-related deaths in the U...

Cooperative multi-task learning and interpretable image biomarkers for glioma grading and molecular subtyping.

Deep learning methods have been widely used for various glioma predictions. However, they are usuall...

Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection.

Artificial Intelligence (AI) models may fail or suffer from reduced performance when applied to unse...

Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders.

Cervical cancer is one of the deadly diseases that affects women, which requires periodic examinatio...

Radiomics for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT.

Distinguishing between primary adenocarcinoma (AC) and squamous cell carcinoma (SCC) within non-smal...

Analysis of diagnostic genes and molecular mechanisms of Crohn's disease and colon cancer based on machine learning algorithms.

Crohn's disease (CD) is a chronic inflammatory bowel condition, and colon adenocarcinoma (COAD), as ...

Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival.

Cervical cancer is a deadly disease in women globally. There is a greater chance of getting rid of c...

Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features.

BACKGROUND AND PURPOSE: Timely identification of local failure after stereotactic radiotherapy for b...

Application of needle electrodes in resection of single bladder tumor.

BACKGROUND: Transurethral resection of bladder tumor is associated with some limitations when used i...

An appropriate DNA input for bisulfite conversion reveals LINE-1 and Alu hypermethylation in tissues and circulating cell-free DNA from cancers.

The autonomous and active Long-Interspersed Element-1 (LINE-1, L1) and the non-autonomous Alu retrot...

Advancing brain tumor detection and classification in Low-Dose CT images using the innovative multi-layered deep neural network model.

BackgroundEffective brain tumour therapy and better patient outcomes depend on early tumour diagnosi...

Deep learning radiomics on grayscale ultrasound images assists in diagnosing benign and malignant of BI-RADS 4 lesions.

This study aimed to explore a deep learning radiomics (DLR) model based on grayscale ultrasound imag...

Identification of the shared gene signatures in retinoblastoma and osteosarcoma by machine learning.

Osteosarcoma (OS) is the most prevalent secondary sarcoma associated with retinoblastoma (RB). Howev...

Novel anoikis-related diagnostic biomarkers for aortic dissection based on machine learning.

Aortic dissection (AD) is one of the most dangerous diseases of the cardiovascular system, which is ...

Browse Categories