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1. Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas

6. Genome-Wide Association Study of Beta-Blocker Survival Benefit in Black and White Patients with Heart Failure with Reduced Ejection Fraction

7. Machine learning–based biomarker profile derived from 4210 serially measured proteins predicts clinical outcome of patients with heart failure

12. The Effectiveness of Blended Online Learning Courses at the Community College Level

20. Machine learning–based biomarker profile derived from 4210 serially measured proteins predicts clinical outcome of patients with heart failure

24. Diagnostic and prognostic methylation-based classifiers using liquid biopsy specimens from patients with meningiomas

25. EPCO-30. MACHINE-LEARNING PREDICTIVE MODELS BASED ON DNA METHYLATION SIGNATURES DETECTED IN LIQUID BIOPSY SPECIMENS ACCURATELY PREDICT THE DIAGNOSIS AND PROGNOSIS OF MENINGIOMAS

27. OTME-5. Meningioma liquid biopsy specimens exhibit contrasting immune-cell landscapes across methylation-subtypes and estimated recurrence risk subgroups

31. PHARMACOGENOMIC ANALYSES IN ASCEND-HF INDICATE INFLUENCE OF NPR3ON NESIRITIDE BLOOD PRESSURE EFFECT

33. Abstract B066: Breast and prostate cancers harbor common somatic copy number alterations that consistently differ by race and are associated with survival

44. Abstract 4231: Breast and prostate cancers harbor common somatic copy number alterations that consistently differ by race-ethnicity

45. Race and Beta‐Blocker Survival Benefit in Patients With Heart Failure: An Investigation of Self‐Reported Race and Proportion of African Genetic Ancestry

46. POPULATION-SPECIFIC GENETIC VARIATIONS INCREASE HAZARD OF MORTALITY OR REHOSPITALIZATION IN HEART FAILURE PATIENTS

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