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51. Multimodal Biomarkers that Predict the Presence of Gleason Pattern 4: Potential Impact for Active Surveillance

63. ARTIFICIAL INTELLIGENCE FOR AUTOMATED CALCIUM QUANTIFICATION FROM NON-CONTRAST ENHANCED CT IN PATIENTS WITH DEGENERATIVE AORTIC STENOSIS

65. Cardiometabolic predictors of quantitative high-risk plaque features in a diverse patient population

66. Unsupervised machine learning improves risk stratification of patients with visual normal SPECT myocardial perfusion imaging assessments

67. 18F-sodium fluoride positron emission tomography and coronary plaque radiomics derived from computed tomography angiography for prediction of myocardial infarction

68. Characterizing left ventricular stiffness in women with signs and symptoms of ischemia with no obstructive coronary arteries

79. 487 Increased CT Angiography-Derived Extracellular Volume Fraction Predicts Less Benefit In Left Ventricular Remodeling And Ejection Fraction After Transcatheter Edge To Edge Repair For Severe Mitral Regurgitation

80. 602 Discordance Between Coronary Artery Calcium Area And Density Predicts Long-term Atherosclerotic Cardiovascular Disease Risk

82. 500 Power Of Zero In Underrepresented Minorities With Chest Pain

83. From the Mouths of the Elderly: What can their Life Experience Teach us?

84. Initial Invasive or Conservative Strategy for Stable Coronary Disease

85. Machine learning Calabi-Yau hypersurfaces

88. The Global Geologic Mapping of Ceres

93. Conclusion

94. Index

97. Notes

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