Hematology

Machine Learning-Based Risk Prediction of In-Hospital Mortality in Patients With Non-ST-Elevation Acute Coronary Syndrome at Various Stages of the Diagnostic Process: Observational Study.

BACKGROUND: Despite advances in understanding and treating non-ST-elevation acute coronary syndrome ...

Development and validation of a comprehensive prognostic model for 28-day ICU mortality in non-traumatic subarachnoid hemorrhage: an analysis based on the MIMIC-IV database.

BACKGROUND: Due to the complex pathophysiology of non-traumatic subarachnoid hemorrhage (SAH), accur...

Hematopoietic stem cell aging: a review of transcriptional and multi-omics insights and potential paths for AI integration.

Hematopoietic stem cell (HSC) aging underlies age-related immune decline, anemia and increased risk ...

Next-generation synthetic trials in hematology with generative artificial intelligence.

Machine learning-based prediction of peripherally inserted central catheter-related thrombosis in hematological malignancies: development and validation of a dynamic model in a multicenter cohort.

PURPOSE: Peripherally inserted central catheter-related thrombosis (PICC-RT) is a common and serious...

Machine learning-derived serum carbon dioxide trajectories in predicting prognosis of patients with acute aortic dissection.

JOURNAL/mgres/04.03/01612956-990000000-00114/figure1/v/2026-08-19T154102Z/r/image-tiff Venous partia...

Comparative outcomes of balloon-expandable versus self-expanding transcatheter aortic valves: insights from a large-scale German registry.

BACKGROUND: While transcatheter aortic valve replacement (TAVR) has become an established alternativ...

Artificial intelligence-enhanced management system for secondary prevention of coronary heart disease: a randomized clinical trial.

BACKGROUND: Secondary prevention of coronary heart disease (CHD) remains suboptimal due to fragmente...

Subtyping and Prediction of the Glucose Based on the Hybrid Modeling of Deep Learning and Dietary Stimulated Glucose Metabolism Dynamical Model.

Diabetes represents a significant global health challenge, underscoring the need for enhanced method...

Microfluidic Chip Platforms for Red Blood Cell Storage Lesion Quality Control and Precision Transfusion.

Red blood cell (RBC) transfusion is a core clinical intervention. However, hypothermic storage induc...

Development and validation of a deep learning model to predict heparin response in critically ill patients with deep vein thrombosis receiving continuous intravenous heparin infusion.

Continuous intravenous heparin infusion is widely used for deep vein thrombosis (DVT) in the intensi...

Integrative TWAS and multi-omics analyses prioritize HSPE1 as a candidate risk gene for bipolar disorder with immune cell-specific regulatory evidence.

BACKGROUND: Bipolar disorder (BD) is a severe psychiatric disorder associated with substantial disab...

MOFUN-CCC: A Multi-omics Intermediate Fusion Network for Digital White Blood Cell Count Prediction.

As the volume of omics data continues to grow exponentially, there is an increasing demand for innov...

Clinical Subphenotypes and Short-Term Outcomes in PICU Patients Receiving Continuous Blood Purification.

OBJECTIVES: To characterize clinical heterogeneity among PICU patients receiving continuous blood pu...

Development and validation of a Bayesian network-based surgical risk-prediction tool for patients with small-bowel stricturing Crohn's disease.

BACKGROUND: Patients with small-bowel stricturing Crohn's disease (sbsCD) usually have a higher risk...

Understanding the Experiences of Young People Living With Haemophilia-A UK Social Media Study.

INTRODUCTION: Haemophilia is a rare congenital bleeding disorder that presents significant physical ...

Sex-stratified blood transcriptomic candidate biomarkers of multiple sclerosis identified by ensemble feature selection.

Sex-related differences in multiple sclerosis (MS), including variation in incidence, disease course...

Identification of Erectile Dysfunction From Routine Blood Test Data: Development and Validation of a Machine Learning-Based Prediction Model.

BACKGROUND: Erectile dysfunction (ED) is a prevalent male health disorder and a recognized sentinel ...

Identifying candidate therapeutic targets in amyotrophic lateral sclerosis through a transcriptome-wide machine-learning consensus approach for drug repurposing.

Amyotrophic lateral sclerosis (ALS) is a heterogeneous neurodegenerative disease for which effective...

Clinical Utility of LLM-assisted Chart Review for the Detection of Bleeding Events.

INTRODUCTION: Red blood cell (RBC) transfusions are frequently administered in the intensive care un...

Spatial decoupling of plaque and circulating immune programs defines a robust gene signature in atherosclerosis: A multi-cohort integrative analysis.

Atherosclerosis (AS) is driven by chronic vascular inflammation, yet the relationship between immune...