Hematology

Cross-modality fusion of hematology-based digital and molecular biomarkers for intelligent epidemiological screening and surveillance of hepatocellular carcinoma.

Early detection of hepatocellular carcinoma (HCC) remains a critical challenge due to the disease's ...

The Application of Machine-Learning Algorithms for Multiclass Classification of Microcytic Anemia Revealed That a Minimum Required Number of Hematological Parameters Is Enough to Achieve High Diagnostic Accuracy.

INTRODUCTION: Thalassemia is a major global health concern, as declared by the World Health Organiza...

Discovery of hemostatic component combination from Nelumbinis Receptaculum using dual machine learning spectrum-effect analysis.

ETHNOPHARMACOLOGICAL RELEVANCE: Nelumbinis Receptaculum (NR) were hemostatic herbal medicines for tr...

Diabetes-linked metabolic dysfunction relates with distinct tau phosphorylation patterns, neuroinflammation and cognitive impairment in mouse models of Alzheimer's disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β plaq...

Personalized adrenal gland volume reference ranges and development of a fully automated deep learning screening tool.

OBJECTIVE: This study aims to develop a low-dose CT-based, fully automated deep learning tool for sc...

Development and validation of a novel orthopedic blood use prediction model incorporating lab tests and thromboelastography.

OBJECTIVE: To develop and validate a prediction model integrating laboratory parameters and thromboe...

Development of Artificial Intelligence for Quantitative Assessment of Nasal Inflammatory Cytology in Chronic Rhinitis by Whole-Slide Images.

BACKGROUND: Chronic rhinitis (CR) is currently recognized as a syndrome that manifests in different ...

Emerging risk factors for stroke and bleeding in patients with atrial fibrillation and heart failure-a narrative review.

Atrial fibrillation (AF) and heart failure (HF) frequently coexist, which leads to adverse clinical ...

Diagnosis of head and neck cancer by AI-based tumor-educated platelet RNA profiling of liquid biopsies.

Over 95% of head and neck cancers are squamous cell carcinoma (HNSCC). HNSCC is mostly diagnosed lat...

ICSH Recommendations for Monocyte Cell Lineage Morphologic Identification, Nomenclature Harmonization, and Utilization as a Biomarker.

Monocytes are key components of the Mononuclear Phagocyte System, crucial in immune defense, inflamm...

Blast cell segmentation and leukemia classification using hybrid Deep Kronecker WideResNet using blood smear images.

Acute Lymphoblastic Leukemia (ALL) is a dangerous form of leukemia, which disturbs the bone marrow a...

Interpretable machine learning model based on blood parameters for screening high myopia.

OBJECTIVE: To develop an interpretable machine learning (ML) model using routine blood parameters fo...

Machine learning-based diagnosis of uterine myomas and sarcomas using tumor-educated platelet transcriptomics: a retrospective multicenter study.

Clinically oriented deep learning framework for automated vessel wall segmentation in black-blood MRI: a multi-center study.

OBJECTIVES: To develop and validate a clinically applicable deep learning framework for automated se...

Advancing Anemia Detection With Deep Neural Networks: A Comparative Analysis of Training Strategies Using Conjunctival Images.

Fifty Shades of Red! - Utilizing Machine Learning for Estimating Blood Loss on Surgical Sponges.

BackgroundAccurate intraoperative blood loss estimation is crucial, particularly for pediatric and a...

Learning curve for fenestrated-branched endovascular aortic repair using machine learning: A prospective national multicenter registry study.

OBJECTIVE: Fenestrated-branched endovascular aortic repair (F-BEVAR) is a complex procedure that req...

Interpretable Machine Learning Model for Survival Prediction in Pediatric Adrenocortical Tumors.

PURPOSE: Pediatric adrenocortical tumors (pACTs) are rare and clinically heterogeneous. Existing ris...

Prediction and genetic analysis of blood β-hydroxybutyrate based on milk mid-infrared spectra in Fleckvieh dairy cows.

Hyperketonemia is a common metabolic disorder in early-lactation dairy cows that impairs milk perfor...

3D printed scaffolds regulated by neural-bone metabolic coupling promote bone unit regeneration.

The bone unit (BU) is a multicellular functional unit composed of neuromodulatory networks, bone tis...

Engineering strategies for microbial synthesis, customized modification, and application of hemoglobin.

Hemoglobin is a functional protein with heme as a cofactor, playing a crucial role in transporting o...