Hematology

Decision-making logic for samples of clinically significant EDTA-dependent pseudothrombocytopenia with machine learning.

OBJECTIVES: To establish practical, clinically meaningful criteria for identifying significant platelet aggregation in suspected samples, defined by a platelet-count deviation exceeding the reference change value (RCV). METHODS: Suspected aggregated samples were collected. Venous blood anticoagulated with citrate/EDTA underwent platelet counting via impedance method (PLTI) and blood smear analysis...

Advanced gene editing technologies for oncology mechanisms, applications, and clinical implementation.

Advanced gene editing tools have transformed oncology by facilitating precise molecular therapies aimed at the hereditary basis of cancer. This thorough study examines the mechanisms, applications, and clinical implementation of advanced genome editing technologies in cancer treatment. This review commences with the molecular principles of genome editing and DNA repair mechanisms, systematically a...

Development and validation of a machine learning-based model for identifying liver fibrosis in individuals with prior Schistosoma japonicum infection: a step toward precision management.

BACKGROUND: Liver fibrosis caused by Schistosoma japonicum may continue to progress even following successful praziquantel chemotherapy. Although live...

[Development and validation of a machine learning-based prediction model for fatty liver in Wilson disease].

OBJECTIVES: To construct a machine learning-based predictive model for fatty liver in patients with Wilson disease (WD). METHODS: Clinical data retros...

From In Silico De Novo Generation to In Vitro Functional Validation: Discovery of Multifunctional Antithrombotic Peptides from Food-Derived Proteins via a Hybrid LSTM-GCN and Molecular Simulation Pipeline.

Cardiovascular thromboses bring heavy global health burdens, while traditional screening of food-derived antithrombotic peptides is inefficient. This ...

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 (NSTE-ACS), patients continue to experience high r...

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), accurate risk prediction remains a challenge. Our aim i...

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 of hematologic malignancies, including clonal hema...

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 complication in patients with hematological malig...

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 partial pressure of carbon dioxide (PvCO2) indicates pos...

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 alternative to surgical aortic valve replacement (SAVR), the...

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 fragmented care and therapeutic inertia. While digital heal...

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 methodologies in glycemic monitoring and risk assessment...

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 induces progressive biochemical, structural, and functi...

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 intensive care unit (ICU), but accurate prediction of act...

CKLF1 Serves as a Pivotal Mediator of Blood-Brain Barrier Disruption and Neuroinflammation via PI3K/AKT/mTOR Signaling in Ischemic Stroke.

Ischemic stroke (IS) is accompanied by blood-brain barrier (BBB) disruption and neuroinflammatory activation, but the upstream regulatory mechanisms r...

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 disability. Although genome-wide association studies ha...

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 innovative methodologies that combine multi-omics data ...

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

OBJECTIVES: To characterize clinical heterogeneity among PICU patients receiving continuous blood purification (CBP) and identify data-driven subpheno...