Frank Pucino

Center for Drug Evaluation and Research — United States

Medicine · Health Sciences

30h-index4.4kcitations118works2.02yr avg
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Research Topics

Thyroid Disorders and Treatments(18), Thyroid Cancer Diagnosis and Treatment(8), Pituitary Gland Disorders and Treatments(8), Systemic Lupus Erythematosus Research(7), Liver Disease Diagnosis and Treatment(7)

Publications118 total

Navigating the Future: Considerations for use of Continuous Glucose Monitoring in Diabetes Trials
Therapeutic Innovation & Regulatory Science·2025
Composite Plot for Visualizing Aminotransferase and Bilirubin Changes in Clinical Trials of Subjects with Abnormal Baseline Values
Drug Safety·2024· 4 citedOpen Access
Neonatal-Onset Multisystem Inflammatory Disease Responsive to Interleukin-1β Inhibition
UNC Libraries·2020Open Access
USE OF MACHINE LEARNING METHODOLOGY TO FIND PREDICTORS OF ALL-CAUSE MORTALITY IN THE TREATMENT OF PRESERVED CARDIAC FUNCTION HEART FAILURE WITH AN ALDOSTERONE ANTAGONIST TRIAL (TOPCAT)
Journal of the American College of Cardiology·2020
USE OF MACHINE LEARNING METHODOLOGY TO FIND PREDICTORS OF ALL-CAUSE MORTALITY IN PREVENTION OF EVENTS WITH ANGIOTENSIN-CONVERTING ENZYME INHIBITION (PEACE) TRIAL
Journal of the American College of Cardiology·2020
USE OF MACHINE LEARNING METHODOLOGY TO FIND PREDICTORS OF ALL-CAUSE MORTALITY IN THE SYSTOLIC BLOOD PRESSURE INTERVENTION TRIAL (SPRINT)
Journal of the American College of Cardiology·2020
Pharmacokinetics of L-Triiodothyronine in Patients Undergoing Thyroid Hormone Therapy Withdrawal
Thyroid·2019· 31 citedOpen Access
Abstract 626: Predictors of Hard Outcomes in the ALLHAT Trial Identified With Machine Learning
Arteriosclerosis Thrombosis and Vascular Biology·2019
Testosterone use remains common in men with CAD despite risks
Pharmacy Today·2019
MON-LB101 Pharmacokinetics of Liothyronine during Thyroid Hormone Therapy Withdrawal
Journal of the Endocrine Society·2019· 1 citedOpen Access
IDENTIFYING PREDICTORS OF HOSPITALIZATION DUE TO HEART FAILURE IN THE TOPCAT TRIAL USING MACHINE LEARNING TECHNIQUES
Journal of the American College of Cardiology·2019
PREDICTORS OF ALL-CAUSE MORTALITY IN THE SPRINT TRIAL IDENTIFIED BY MACHINE LEARNING
Journal of the American College of Cardiology·2019
PREDICTORS OF ALL-CAUSE MORTALITY IN THE BARI 2D TRIAL IDENTIFIED BY MACHINE-LEARNING
Journal of the American College of Cardiology·2019
PREDICTORS OF ALL-CAUSE MORTALITY IN THE AIM-HIGH TRIAL IDENTIFIED BY MACHINE LEARNING
Journal of the American College of Cardiology·2019
Abstract 17121: Predictors of Death and Major Adverse Cardiovascular Events in the ACCORD Trial Identified by Random Survival Forest Based Machine-Learning
Circulation·2018
Abstract 16252: Predictors of All Cause Mortality and Their Gender Differences in a Hispanic Population From Barranquilla-Colombia Using Machine Learning With Random Survival Forests
Circulation·2018· 2 cited
Abstract 17059: Re-Use of Clinical Trial Data From the NHLBI Data Repository (BioLINCC) for Patient-Level Meta-Analyses of Cardiovascular Outcomes: Challenges and Opportunities
Circulation·2018
Chapter 30: Glucose and Insulin Dysregulation
American Society of Health-System Pharmacists eBooks·2018· 1 cited
Chapter 31: Thyroid Diseases
American Society of Health-System Pharmacists eBooks·2018
Endpoints in diabetes cardiovascular outcome trials
The Lancet·2018· 12 citedOpen Access
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Frequent Co-authors

György Csákó(17), Robert Wesley(15), Monica C. Skarulis(8), Raphaela Goldbach‐Mansky(6), Cheryl Yarboro(6), Rohit Loomba(5), Nicholas J. Sarlis(5), Francesco S. Celi(5), Joyce D. Linderman(5), Susan M. Smith(4), Gabor G. Illei(4), Karim A. Calis(4), Carol L. Beck(4), Gordon L. Strommen(4), Christopher S. Snyder(3), Ayana K. Rowley(3), Rene Costello(3), James D. Carlson(3), Carmen C. Brewer(2), Christopher Zalewski(2)