Cardiovascular

Venous Thrombosis

Latest AI and machine learning research in venous thrombosis for healthcare professionals.

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Showing 232-252 of 3,312 articles
Clinical implication of monitoring rivaroxaban and apixaban by using anti-factor Xa assay in patients with non-valvular atrial fibrillation.

BACKGROUND: Although patients taking non-vitamin K antagonist oral anticoagulants (NOACs) do not req...

Sep 2015 26949430
Seminal Plasma Heparin Binding Proteins Improve Semen Quality by Reducing Oxidative Stress during Cryopreservation of Cattle Bull Semen.

Heparin binding proteins (HBPs) are produced by accessory glands. These are secreted into the semina...

Sep 2015 26954172
Association between inflammation biomarkers, anatomic extent of deep venous thrombosis, and venous symptoms after deep venous thrombosis.

OBJECTIVE: Inflammation may play a role in pathogenesis of venous thromboembolism, but the nature of...

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Aug 2015 26992609
Novel, Precise, Accurate Ion-Pairing Method to Determine the Related Substances of the Fondaparinux Sodium Drug Substance: Low-Molecular-Weight Heparin.

Fondaparinux sodium is a synthetic low-molecular-weight heparin (LMWH). This medication is an antico...

Jul 2015 27110496
Revisiting Warfarin Dosing Using Machine Learning Techniques.

Determining the appropriate dosage of warfarin is an important yet challenging task. Several predict...

Jun 2015 26146514
A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data.

BACKGROUND: Venous thromboembolisms (VTEs), which include deep vein thrombosis (DVT) and pulmonary e...

Oct 2014 25332356
Evolution-Guided Engineering of Non-conserved N-Glycosylation Sites Improves Heterologous Production of Sulfotransferases

Escherichia coli features low cost, mature fermentation technology and high recombinant protein outp...

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Predicting VHH-Fc Developability from Large-Scale IgG Data

The VHH-Fc antibody scaffold is an emerging therapeutic modality. No public large-scale, standardize...

Validating Artificial Intelligence Guidance for Ultrasound Acquisition and Remote Interpretation

Background: Venous thromboembolism (VTE), including deep vein thrombosis (DVT), remains a major glob...

Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark

RGB-Thermal (RGBT) Video Object Detection (VOD) has gained significant traction due to its ability t...

White Matter Hyperintensity Burden Modifies the Association Between Atrial Fibrillation and Cerebral Microbleeds

Background: In atrial fibrillation (AF), cerebral microbleed (CMB) burden guides anticoagulation dec...

Systems Pharmacology Reveals Type I Interferon and Myeloid-Like B Cell Reprogramming as Druggable Axes in Antiphospholipid Syndrome

Antiphospholipid syndrome (APS) lacks targeted therapies beyond anticoagulation, and its molecular h...

Agentic Trial Emulation to Learn Health System-specific Drug Effects At Scale

Objective: Electronic Health Record (EHR)-based trial emulation can support translation of randomize...

ESUS-AI:a machine learning framework to estimate the most likely embolic source in embolic stroke of undetermined source

Background and Purpose Embolic stroke of undetermined source (ESUS) emains a major diagnostic challe...

Bleeding risk assessment tools in patients with atrial fibrillation taking anticoagulants: a comparative review and clinical implications.

INTRODUCTION: Bleeding risk assessment plays a critical role in the anticoagulation management for a...

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Jul 2025 40550625
Novel AI Guided Non-Expert Compression Ultrasound DVT Diagnostic Pathway May Reduce Vascular Laboratory Venous Testing .

OBJECTIVE: Ultrasonography and D-dimer testing are established modalities for evaluating potential l...

May 2025 40378910
Machine Learning for Predicting Thrombotic Recurrence in Antiphospholipid Syndrome

Thrombotic Antiphospholipid Syndrome (TAPS) is an autoimmune disorder associated with a high risk of...

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