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1. UNICORN: A Deep Learning Model for Integrating Multi-Stain Data in Histopathology

3. Distinct genetic liability profiles define clinically relevant patient strata across common diseases

6. Abstract 4145859: Clonal Hematopoiesis of Indeterminate Potential Increases Mortality Risk in Coronary Artery Disease

8. Invasive Assessment of Right Ventricular to Pulmonary Artery Coupling Improves 1-year Mortality Prediction After Transcatheter Aortic Valve Replacement and Anticipates the Persistence of Extra-Aortic Valve Cardiac Damage

9. Transcription Factor MAFF (MAF Basic Leucine Zipper Transcription Factor F) Regulates an Atherosclerosis Relevant Network Connecting Inflammation and Cholesterol Metabolism

10. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants

12. Sex differences among patients receiving ticagrelor monotherapy or aspirin after coronary bypass surgery: A prespecified subgroup analysis of the TiCAB trial

13. Publisher Correction: Transcriptome-wide association study of coronary artery disease identifies novel susceptibility genes

14. Transcriptome-wide association study of coronary artery disease identifies novel susceptibility genes

15. Applications and Limitations of Mouse Models for Understanding Human Atherosclerosis

18. Guideline-Based Cardiovascular Risk Assessment Delivered by an mHealth App: Development Study

19. TCT-570 Deep Learning-Enabled Assessment of Right Ventricular Function Using 2D Echocardiograms Improves 1-Year Mortality Prediction in Patients With Severe Mitral Regurgitation Undergoing Transcatheter Edge-to-Edge Repair

20. TCT-496 Artificial Intelligence-Enabled Phenotyping of Patients with Severe Mitral Regurgitation: on the Recovery of Extra-Mitral Valve Cardiac Damage after Transcatheter Edge-to-Edge Repair

21. ADAMTS-7 Modulates Atherosclerotic Plaque Formation by Degradation of TIMP-1

22. Reticulated Platelets Predict Cardiovascular Death and Adverse Events in Coronary Artery Disease: A Systematic Review and Meta-analysis

23. Guideline-Based Cardiovascular Risk Assessment Delivered by an mHealth App: Development Study (Preprint)

24. Platelet mass cytometry reveals dysregulation of prothrombotic pathways in essential thrombocythemia.

27. Abstract 495: Tissue Engineering Of A Three-layered Artery

28. Machine Learning Identifies New Predictors on Restenosis Risk after Coronary Artery Stenting in 10,004 Patients with Surveillance Angiography

29. Elucidation of the genetic causes of bicuspid aortic valve disease

30. Leukocytes carrying Clonal Hematopoiesis of Indeterminate Potential (CHIP) Mutations invade Human Atherosclerotic Plaques.

31. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants

32. The novel coronary artery disease risk factor ADAMTS-7 modulates atherosclerotic plaque formation by degradation of TIMP-1

33. Machine learning identifies pathophysiologically and prognostically informative phenotypes among patients with mitral regurgitation undergoing transcatheter edge-to-edge repair

34. Immature Platelet Fraction Predicts Adverse Events in Patients With Acute Coronary Syndrome: the ISAR-REACT 5 Reticulated Platelet Substudy

35. Sex differences among patients receiving ticagrelor monotherapy or aspirin after coronary bypass surgery: A prespecified subgroup analysis of the TiCAB trial

36. P2Y12 Inhibitor or Aspirin Monotherapy for Secondary Prevention of Coronary Events

37. Artificial intelligence-enabled phenotyping of patients with severe aortic stenosis: on the recovery of extra-aortic valve cardiac damage after transcatheter aortic valve replacement

38. Identification of the Transcription Factor ATF3 as a Direct and Indirect Regulator of the LDLR

40. Solving the Pulmonary Hypertension Paradox in Patients With Severe Tricuspid Regurgitation by Employing Artificial Intelligence

41. Elucidation of the genetic causes of bicuspid aortic valve disease

42. Role of Reticulated Platelets in Cardiovascular Disease

43. Harnessing feature extraction capacities from a pre-trained convolutional neural network (VGG-16) for the unsupervised distinction of aortic outflow velocity profiles in patients with severe aortic stenosis

45. Population-based screening in children for early diagnosis and treatment of familial hypercholesterolemia: design of the VRONI study

46. Prognostic impact of secondary prevention after coronary artery bypass grafting—insights from the TiCAB trial

48. Solving the Pulmonary Hypertension Paradox in Patients With Severe Tricuspid Regurgitation by Employing Artificial Intelligence

49. Mass cytometry of platelet-rich plasma: a new approach to analyze platelet surface expression and reactivity

50. TCT-409 Unsupervised Clustering of Structural and Functional Echocardiographic Parameters Identifies a High-Risk Phenotype Among Patients With Severe Mitral Regurgitation Undergoing Transcatheter Edge-to-Edge Repair

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