Hematology

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

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Machine Learning for Discriminating Microcytic Hypochromic Anemia Based on Erythrocyte Parameters.

INTRODUCTION: Thalassemia trait (TT) and iron deficiency anemia (IDA) are two common types of microc...

Unstained Blood Smear Analysis: A Review of Rule-Based, Machine Learning, and Deep Learning Techniques.

Blood cells are central to oxygen transport, immune defense, and hemostasis. Their number and morpho...

Machine-Learning Prediction of Bleeding After Endoscopic Submucosal Dissection for Early Gastric Cancer: A Multicenter Study.

BACKGROUND: Endoscopic submucosal dissection (ESD) is a minimally invasive treatment for early gastr...

Deep learning predicts onset acceleration of 38 age-associated diseases from blood and body composition biomarkers in the UK Biobank.

A major challenge in multimorbid aging is understanding how diseases co-occur and identifying high-r...

Diagnosis, clinical management, and emerging strategies for coronary artery disease in patients with cancer.

The intersection of cancer and coronary artery disease (CAD) presents complex clinical challenges re...

Magnetic-Assisted Manipulation of Rare Blood Cells for Diagnosis: A Systematic Review.

The precise isolation and analysis of rare cells from blood are crucial for biomedical research and ...

Multivariate Screening and Automated Clustering of Macrophage Immunoreactome to Nanoparticles and Photothermal Therapy.

Immunotherapy aims to control the immune system against diseases such as cancer or infections. Nanot...

Safety of nonselective nonsteroidal anti-inflammatory drugs in cardiac surgery: a historical cohort study.

PURPOSE: Pain management after cardiac surgery is imperative, as inadequate analgesia can increase t...

Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention.

While static risk models may identify key driving risk factors, the dynamic nature of risk requires ...

Artificial Intelligence in Hemophilia Management: Revolutionizing Patient Care and Future Directions.

Recent advancements in artificial intelligence (AI) hold significant promise for transforming hemoph...

The early prediction of neonatal necrotizing enterocolitis in high-risk newborns based on two medical center clinical databases.

: Early identification and timely preventive interventions play an essential role for improving the ...

Identification of Migraine Subtypes Using Functional Near-Infrared Spectroscopy Data: A Domain-Based Feature Extraction.

Migraine diagnosis relies on subjective patient reports and International Headache Society guideline...

Classification of primary glomerulonephritis using machine learning models: a focus on IgA nephropathy prediction.

OBJECTIVE: IgA nephropathy (IgAN) is the most common form of glomerulonephritis worldwide, character...

Machine Learning-Based Biomarker Discovery from Serum Trace Elements and Biochemical Parameters in Patients with Nasal Polyps.

Nasal polyps (NP) are benign mucosal outgrowths associated with chronic inflammation that can signif...

Physiological Response of Tissue-Engineered Vascular Grafts to Vasoactive Agents in an Ovine Model.

Tissue-engineered vascular grafts (TEVGs) are emerging as promising alternatives to synthetic grafts...

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