Azra Bihorac, MD, MS

D

Azra Bihorac, MD, MS, FCCM, FASN
R. Glenn Davis Professor of Medicine, Surgery and Anesthesiology
Division of Nephrology, Hypertension, & Renal Transplantation
Department of Medicine

1600 SW Archer Road
Room MG-07
PO Box 100224
Gainesville, FL 32610-0224
Research Coordinator: Ashley Hoover (352) 294-8580
Post-Doctoral Fellow: Tezcan Ozrazgat Baslanti (352) 273-6668
Office: (352) 273-9009
Fax: (352) 392-5465
Research lab: (352) 294-8509

 

Degree/Program

Institution

Field/Specialty

Medical School University of Sarajevo, School of Medicine,
Brcko County Hospital, Bosnia and Herzegovina
 Medicine
Residency Marmara University School of Medicine, Istanbul, Turkey Internal Medicine
Fellowship Marmara University School of Medicine, Istanbul, Turkey Nephrology
Research Fellowship University of Florida, College of Medicine, Gainesville, FL Nephrology
Clinical Fellowship University of Florida, College of Medicine, Gainesville, FL Nephrology
Residency University of Florida, College of Medicine, Gainesville, FL Internal Medicine
Medicine University of Florida, College of Medicine, Gainesville, FL Critical Care Medicine
Masters in Clinical Science University of Florida, College of Medicine, Gainesville, FL

Academic/Research Interests:

  • PRISMA-P
  • The objective of our proposal is to assemble a multidisciplinary team that will develop and implement automated AKI diagnostic algorithm using laboratory values of serum creatinine to diagnose AKI in off-site repository and create AKI alert in electronic health records. I have strong commitment to academic research career as evident in my training and previous research experience. My main research interest is in clinical and translational studies linking basic aspects of critical illness and surgical injury to clinical outcomes. I have completed K23 career award and I am currently involved in large program grant as a project leader and core faculty on Human Subject and Data Analysis cores. As a part of my career award I have developed expertise in video-microscopy of microcirculation, molecular studies of progenitor cells involvement in recovery from critical illness as well as advanced computational and statistical methods of outcome research and I have successfully completed Masters in Clinical Investigation with emphasis on advanced quantitative research. I have excelled in the use of machine learning classifiers and predictive model development using SAS Enterprise Miner 9.2 and Text miner and techniques like neural networks, support vector machines, decision tree, and Bayesian classifiers. I have published extensively on the topic of epidemiology and outcomes of perioperative acute kidney injury and long-term outcomes of postoperative complications. In the past year I have worked with co-PI on this proposal who is expert in the field of medical informatics and machine learning in the College of Engineering to establish a collaborative research partnership between team of scientist with diverse yet complementary expertise in engineering, computational science and medicine. Our long-term goal is to develop and implement technology that combines human and computer intelligence in medicine to improve clinical decision-making and personalize experience for both patients and health care providers.