AIMC Topic: Fibrin Fibrinogen Degradation Products
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Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation.
Nature communications
Jul 31, 2025
Atrial fibrillation (AF) increases the risk of adverse cardiovascular events, yet the underlying biological mechanisms remain unclear. We evaluate a panel of 12 circulating biomarkers representing diverse pathophysiological pathways in 3817 AF patien...
Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics.
International journal of molecular sciences
Jan 16, 2025
The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe and mild cases. Furthermore, the use of artificial intelligence (AI) and machine learning ...
Prediction of pulmonary embolism by an explainable machine learning approach in the real world.
Scientific reports
Jan 4, 2025
In recent years, large amounts of researches showed that pulmonary embolism (PE) has become a common disease, and PE remains a clinical challenge because of its high mortality, high disability, high missed and high misdiagnosed rates. To address this...
New Diagnostic Tools for Pulmonary Embolism Detection.
Methodist DeBakey cardiovascular journal
May 16, 2024
The presentation of pulmonary embolism (PE) varies from asymptomatic to life-threatening, and management involves multiple specialists. Timely diagnosis of PE is based on clinical presentation, D-dimer testing, and computed tomography pulmonary angio...
CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients.
Computer methods and programs in biomedicine
Mar 18, 2023
BACKGROUND AND PURPOSE: COVID-19, which emerged in Wuhan (China), is one of the deadliest and fastest-spreading pandemics as of the end of 2019. According to the World Health Organization (WHO), there are more than 100 million infectious cases worldw...
Pulmonary Embolism in Acute Asthma Exacerbation: Clinical Characteristics, Prediction Model and Hospital Outcomes.
Lung
May 18, 2020
PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) during episodes of asthma exacerbation. We aimed to characterize patients diagnosed with acute PE in the setting of asthma exacerbation, develop a predicti...
Humans
Machine Learning
Intensive Care Units
Female
Aged
Adult
Pulmonary Embolism
Creatinine
Hospitals, University
Case-Control Studies
Heart Rate
Asthma
Fibrin Fibrinogen Degradation Products
Length of Stay
Natriuretic Peptide, Brain
Male
Body Mass Index
Computed Tomography Angiography
Middle Aged
Oxygen
Clinical Decision Rules
Disease Progression
International Normalized Ratio
Comorbidity
The use of artificial neural network analysis can improve the risk-stratification of patients presenting with suspected deep vein thrombosis.
British journal of haematology
Feb 6, 2019
Artificial neural networks are machine-learning algorithms designed to analyse data without a pre-existing hypothesis as to any associations that may exist. This technique has not previously been applied to the risk stratification of patients referre...
High Incidence of Deep Vein Thrombosis in the Perioperative Period of Neurosurgical Patients.
World neurosurgery
Dec 30, 2017
INTRODUCTION: A prospective study was designed to elucidate incidence and predictors of deep venous thrombosis (DVT) in patients undergoing craniotomies.
Association of Haemostatic and Inflammatory Biomarkers with Nephropathy in Type 1 Diabetes Mellitus.
Journal of diabetes research
Dec 6, 2015
This study aimed at investigating the association between haemostatic biomarkers, proinflammatory, and anti-inflammatory cytokines with chronic kidney disease in type 1 diabetic patients. Patients were divided into two groups: with nephropathy (album...
Male
Middle Aged
Adolescent
Humans
Fibrin Fibrinogen Degradation Products
Diabetic Nephropathies
Renal Insufficiency, Chronic
Interleukin-10
Interleukin-6
ADAMTS13 Protein
Diabetes Mellitus, Type 1
Albuminuria
Tumor Necrosis Factor-alpha
ADAM Proteins
Biomarkers
von Willebrand Factor
Female
Interferon-gamma
Young Adult
Adult
Developing an Explainable Prognostic Model for Acute Ischemic Stroke: Combining Clinical and Inflammatory Biomarkers With Machine Learning.
Brain and behavior
Aug 1, 2025
BACKGROUND: Predicting the prognosis of patients with acute cerebral infarction (ACI) is crucial for clinical decision-making and personalized treatment. However, existing models often lack the comprehensive integration of clinical and biological ind...
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