Andrew Bishara, MD, Earns FAER Mentored Research Training Grant

Andrew Bishara and class of 2018 resident colleagues during an ultrasound teaching session

We are thrilled to announce that Andrew Bishara, MD, has earned a Mentored Research Training Grant (MRTG) from the Foundation for Anesthesia Education and Research (FAER)! Dr. Bishara is an assistant professor and residency graduate of the UCSF Department of Anesthesia and Perioperative Care. His research is focused on designing artificial intelligence models and studying the implementation of these models in clinical care to improve patient outcomes. The training grant will provide $250,000 in funding over a two-year period, for Dr. Bishara’s project, “Real-time Prediction of Adverse Outcomes after Anesthesia.”

Dr. Bishara’s primary mentor for the project is Dr. Atul Butte, Professor of Pediatrics and the Priscilla Chan and Mark Zuckerberg Distinguished Professor at UCSF. Dr. Romain Pirracchio, Chief of Anesthesia at Zuckerberg San Francisco General Hospital and the Ronald D. Miller Distinguished Professor of Anesthesia at UCSF, serves as secondary mentor. You can link to some of Dr. Bishara’s most recent publications below. Please join us in congratulating Dr. Bishara.

 

Machine Learning Prediction of Liver Allograft Utilization From Deceased Organ Donors Using the National Donor Management Goals Registry.

Bishara AM, Lituiev DS, Adelmann D, Kothari RP, Malinoski DJ, Nudel JD, Sally MB, Hirose R, Hadley DD, Niemann CU. Transplant Direct. 2021 Sep 27;7(10):e771. doi: 10.1097/TXD.0000000000001212. eCollection 2021 Oct.PMID: 34604507 Free PMC article.

 

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020.

Alizadehsani R, Khosravi A, Roshanzamir M, Abdar M, Sarrafzadegan N, Shafie D, Khozeimeh F, Shoeibi A, Nahavandi S, Panahiazar M, Bishara A, Beygui RE, Puri R, Kapadia S, Tan RS, Acharya UR. Comput Biol Med. 2021 Jan;128:104095. doi: 10.1016/j.compbiomed.2020.104095. Epub 2020 Oct 28.PMID: 33217660 Review.

 

Differences in clinical deterioration among three sub-phenotypes of COVID-19 patients at the time of first positive test: results from a clustering analysis.

Data Science Collaborative Group. Intensive Care Med. 2021 Jan;47(1):113-115. doi: 10.1007/s00134-020-06236-7. Epub 2020 Oct 19. PMID: 33074342 Free PMC article. No abstract available.

 

Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database.

Nudel J, Bishara AM, de Geus SWL, Patil P, Srinivasan J, Hess DT, Woodson J. Surg Endosc. 2021 Jan;35(1):182-191. doi: 10.1007/s00464-020-07378-x. Epub 2020 Jan 17.PMID: 31953733