21 results on '"Rhyne, Rhonda F."'
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2. Gaining Efficiency in Clinical Trials With Cardiac Biomarkers: JACC Review Topic of the Week
3. Multiple Biomarkers to Predict Major Adverse Cardiovascular Events in Patients With Coronary Chronic Total Occlusions
4. Abstract 15495: Interleukin 18 Binding Protein Predicts Future Cardiovascular Morbidity and Mortality in Subjects Undergoing Coronary Angiography - the Casablanca Cohort
5. Usefulness of Multiple Biomarkers for Predicting Incident Major Adverse Cardiac Events in Patients Who Underwent Diagnostic Coronary Angiography (from the Catheter Sampled Blood Archive in Cardiovascular Diseases [CASABLANCA] Study)
6. Performance of a multi-biomarker panel for prediction of cardiovascular event in patients with chronic kidney disease
7. Abstract 18948: A Clinical and Biomarker Scoring System to Predict the Presence of Obstructive Peripheral Artery Disease: Results From the Catheter Sampled Blood Archive in Cardiovascular Diseases (CASABLANCA) Study
8. Abstract 10637: A Pooled Multi-National Validation Study of a Machine Learning, High-Sensitivity Troponin-Based Multi-Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease as Compared to High Sensitivity Troponin Alone in a Subset of Patients with Diabetes
9. Derivation and External Validation of a High‐Sensitivity Cardiac Troponin–Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease
10. Application of a machine learning-driven, multibiomarker panel for prediction of incident cardiovascular events in patients with suspected myocardial infarction
11. 543-P: A Clinical, Proteomics and Artificial Intelligence-Driven Model to Predict Acute Kidney Injury in Diabetic Patients Undergoing Coronary Angiography—Results from the Catheter Sampled Blood Archive in Cardiovascular Diseases Study
12. PC102. A Novel Machine Learning-Driven Clinical and Proteomic Tool for the Diagnosis of Peripheral Artery Disease
13. VALIDATION OF A NOVEL BIOMARKER-CLINICAL SCORE TO PREDICT THE PRESENCE OF OBSTRUCTIVE CORONARY DISEASE
14. A clinical, proteomics, and artificial intelligence-driven model to predict acute kidney injury in patients undergoing coronary angiography
15. Performance of Clinical/Proteomic Biomarker Panels to Predict Coronary Artery Disease Presence or Cardiovascular Prognosis in Patients With and Without Diabetes Mellitus
16. A clinical and proteomics approach to predict the presence of obstructive peripheral arterial disease: From the Catheter Sampled Blood Archive in Cardiovascular Diseases (CASABLANCA) Study
17. A Clinical and Biomarker Scoring System to Predict the Presence of Obstructive Coronary Artery Disease
18. Performance of a protein biomarker panel for prediction of cardiovascular events in patients with diabetes mellitus.
19. Abstract 12850: Derivation and External Validation of a High Sensitivity Troponin Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease
20. Abstract 16241: A Clinical, Proteomics, and Artificial Intelligence-Driven Modelto Predict Acute Kidney Injury in Patients Undergoing Coronary Angiography-Results From the Catheter Sampled Blood Archive in Cardiovascular Diseases Study.
21. Multiple Biomarkers to Predict Major Adverse Cardiovascular Events in Patients With Coronary Chronic Total Occlusions.
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