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Division of Pulmonary, Critical Care, Sleep Medicine & Physiology Division of Pulmonary, Critical Care, Sleep Medicine & Physiology

Wardi Lab

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Principal Investigator

Dr. Wardi, Principal InvestigatorDr. Gabriel Wardi completed his undergraduate and graduate education in Atlanta. He moved to San Diego for Emergency Medicine residency where he served as the education chief resident during his final year. He is the first graduate of the joint Critical Care Medicine fellowship offered by the Division of Pulmonary and Critical Care Medicine and Department of Emergency Medicine. He is an associate professor at UCSD and the Chief of the Division of Emergency Critical Care in the Department of Emergency Medicine. Dr. Wardi attends in both the emergency department and the ICUs as an Associate Professor of Emergency Medicine and Medicine. He is currently leading the Influence of Cooling Duration on Efficacy in Cardiac Arrest Patients (ICECAP) clinical trial at UC San Diego and is funded by various grants from the NIH and the Gordon and Betty Moore Foundation. He is the Medical Director for Hospital Sepsis at UC San Diego and previously created and directed the Residency Transition Course for the School of Medicine.

Lab Members

  • Allison Donahue, M.D., UC San Diego Emergency Medicine Resident
  • Michael Self, M.D., UC San Diego EM - Anesthesia Critical Care Faculty
  • Julia Weston, M.D., UC San Diego Internal Medicine Resident
  • Romir Maheshwary, M.D., UC San Diego Internal Medicine Resident

Interdisciplinary Collaborators

  • Shamim Nemati, Ph.D., UC San Diego Biomedical Informatics Faculty
  • Atul Malhotra, M.D., UC San Diego Pulmonary Critical Care Faculty
  • Angela Meier, M.D., Ph.D., UC San Diego Anesthesia Critical Care Faculty
  • Supreeth Shashikumar, Ph.D., UC San Diego Biomedical Informatics Research Scientist
  • Aaron Boussina, M.S., UC San Diego Biomedical Informatics PhD Student

Dr. Wardi is available to mentor motivated undergraduates, Masters students, residents and fellows for a variety of topics ranging from clinical applications of data science, sepsis, cardiac arrest, and EDI initiatives in critical care and emergency medicine. He is particularly interested in assessing how the social determinants of health impact sepsis outcomes using large datasets and the application of machine-learning techniques into clinical care.  

 

Research Focus

  1. Sepsis
  2. Cardiac arrest management
  3. Machine-learning applications in acute care
  4. Development of novel educational curriculum

Recent Publications

  1. Wardi G, Owens R, Josef C, Malhotra A, Longhurst C, Nemati S. Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach Us. Crit Care Med. 2023 Aug 1;51(8):985-991.
  2. Boussina A, Wardi G, Shashikumar SP, Malhotra A, Zheng K, Nemati S. Representation Learning and Spectral Clustering for the Development and External Validation of Dynamic Sepsis Phenotypes: Observational Cohort Study. J Med Internet Res. 2023 Jun 23
  3. Sobel J, Hayden SR, Wardi G. The Knowledge Gap: Mentorship in Emergency Medicine Residency. Ann Emerg Med. 2023
  4. Shashikumar SP, Wardi G, Malhotra A, Nemati S. Artificial intelligence sepsis prediction algorithm learns to say "I don't know". NPJ Digit Med. 2021 Sep 09; 4(1):134.
  5. Wardi G, Carlile M, Holder A, Shashikumar S, Hayden SR, Nemati S. Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning Algorithm. Ann Emerg Med. 2021 04; 77(4):395-406.
  6. Wardi G, Tainter CR, Ramnath VR, Brennan JJ, Tolia V, Castillo EM, Hsia RY, Malhotra A, Schmidt U, Meier A. Age-related incidence and outcomes of sepsis in California, 2008-2015. J Crit Care. 2021 04; 62:212-217.
  7. Wardi G, Brice J, Correia M, Liu D, Self M, Tainter C. Demystifying Lactate in the Emergency Department. Ann Emerg Med. 2020 02; 75(2):287-298.
  8. Shashikumar SP, Wardi G, Paul P, Carlile M, Brenner LN, Hibbert KA, North CM, Mukerji SS, Robbins GK, Shao YP, Westover MB, Nemati S, Malhotra A. Development and Prospective Validation of a Deep Learning Algorithm for Predicting Need for Mechanical Ventilation. Chest. 2021 06; 159(6):2264-2273.
  9. Wardi G, Villar J, Nguyen T, Vyas A, Pokrajac N, Minokadeh A, Lasoff D, Tainter C, Beitler JR, Sell RE. Factors and outcomes associated with inpatient cardiac arrest following emergent endotracheal intubation. Resuscitation. 2017 12; 121:76-80.
  10. Wardi G, Blanchard D, Dittrich T, Kaushal K, Sell R. Right ventricle dysfunction and echocardiographic parameters in the first 24h following resuscitation in the post-cardiac arrest patient: A retrospective cohort study. Resuscitation. 2016 06; 103:71-74.