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Nam K. Tran, Ph.D., M.S., HCLD (ABB)
Director, Pathology Biorepository
Professor and Senior Director, Division of Clinical Pathology
Specialties
Clinical Chemistry
Toxicology
Point-of-Care Testing
Molecular Infectious Disease Diagnostics
Department
Locations and Contact
UC Davis Medical Center
UC Davis Medical Center
2315 Stockton Blvd.
Sacramento, CA 95817
Phone: 800-2-UCDAVIS (800-282-3284)
Medical Pathology and Laboratory Medicine Specialty Testing Center
Medical Pathology and Laboratory Medicine Specialty Testing Center
3740 Business Drive
Sacramento, CA 95820
Philosophy of Care
Dr. Tran’s philosphy of care as a laboratory professional is to develop and implement testing that improves access to care for patients regardless of geographical and/or socioeconomic background.
Clinical Interests
Dr. Tran is an expert in clinical chemistry, special chemistry, toxicology, and point-of-care testing with interest in acute care diagnostics. Specifically, he focuses on the imployment and interpretation of tests for acute conditions such as myocardial infarction, sepsis, and acute kidney injury. Additionally, he is one of the leading international experts in point-of-care testing. As such, his clinical interests also include applications of point-of-care testing modalities.
Research/Academic Interests
Dr. Tran’s research interests include biomarkers of acute injury (e.g., myocardial infarction, stroke, traumatic brain injury, kidney injury), infectious diseases, point-of-care testing, mobile testing, as well as artificial intelligence/machine learning to aid in laboratory interpretation of testing results.
Division
Clinical Pathology
Center/Program Affiliation
Undergraduate School
B.S., UC Davis, Davis CA 2003
Other School
Ph.D., Comparative Pathology, UC Davis, Davis CA 2008
Other School
M.S., Pharmacology and Toxicology, UC Davis, Davis CA 2010
UC Davis Health Chief of Staff Award - Development of COVID-19 Testing, 2020
Outstanding Research Abstract, International Critical and Point-of-Care Testing (CPOCT) Meeting, American Association for Clinical Chemistry (AACC), 2018
Resident Teaching Award, Dept. of Pathology and Laboratory Medicine, UC Davis, 2017
American Association for Clinical Chemistry Outstanding Speaker Award, 2016
UC Davis School of Medicine Dean’s Award for Excellence in Teaching, 2014
Lima KM, Davis RR, Liu SY, Greenhalgh DG, Tran NK. Longitudinal profiling of the burn patient cutaneous and gastrointestinal microbiota: a pilot study. Sci Rep. 2021 May 21;11(1):10667. doi:10.1038/s41598-021-89822-z. PMID:34021204.
Tran NK, Howard T, Walsh R, Pepper J, Loegering J, Phinney B, Salemi MR, Tran NK, Howard T, Walsh R, Pepper J, Loegering J, Phinney B, Salemi MR, Rashidi HH. Novel application of automated machine learning with MALDI-TOF-MS for rapid high-throughput screening of COVID-19: a proof of concept. Sci Rep. 2021 Apr 15;11(1):8219. doi:10.1038/s41598-021-87463-w. PMID:33859233.
Hansen G, Marino J, Wang ZX, Beavis KG, Rodrigo J, Labog K, Westblade LF, Jin R, Love N, Ding K, Garg S, Huang A, Sickler J, Tran NK. Clinical Performance of the Point-of-Care cobas Liat for Detection of SARS-CoV-2 in 20 Minutes: a Multicenter Study. J Clin Microbiol. 2021 Jan 21;59(2):e02811-20. doi:10.1128/JCM.02811-20. PMID:33239382.
Rashidi HH, Makley A, Palmieri TL, Albahra S, Loegering J, Fang L, Yamaguchi K, Gerlach T, Rodriquez D, Tran NK. Enhancing Military Burn- and Trauma-Related Acute Kidney Injury Prediction Through an Automated Machine Learning Platform and Point-of-Care Testing. Arch Pathol Lab Med. 2021 Mar 1;145(3):320-326. doi:10.5858/arpa.2020-0110-OA. PMID:33635951.
Mumma BE, Casey SD, Dang RK, Polen MK, Kaur JC, Rodrigo J, Tancredi DJ, Narverud RA, Amsterdam EA, Tran N. Diagnostic Reclassification by a High-Sensitivity Cardiac Troponin Assay. Ann Emerg Med. 2020 Nov;76(5):566-579. doi:10.1016/j.annemergmed.2020.06.047. Epub 2020 Aug 15. PMID:32807538.
Tran NK, Albahra S, Pham TN, Holmes JH 4th, Greenhalgh D, Palmieri TL, Wajda J, Rashidi HH. Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept. Sci Rep. 2020 Jul 23;10(1):12354.
Rashidi HH, Sen S, Palmieri TL, Blackmon T, Wajda J, Tran NK. Early recognition of burn- and trauma-related acute kidney injury: a pilot comparison of machine learning techniques. Sci Rep. 2020 Jan 14;10(1):205.
Tran NK, Sen S, Palmieri TL, Lima K, Falwell S, Wajda J, Rashidi HH. Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept. Burns. 2019 Sep;45(6):1350-1358. doi:10.1016/j.burns.2019.03.021. Epub 2019 Jun 21. PMID:31230801.
DuBois JA, Slingerland RJ, Fokkert M, Roman A, Tran NK, Clarke W, Sartori DA, Palmieri TL, Malic A, Lyon ME, Lyon AW. Bedside Glucose Monitoring-Is it Safe? A New, Regulatory-Compliant Risk Assessment Evaluation Protocol in Critically Ill Patient Care Settings. Crit Care Med. 2017 Apr;45(4):567-574. doi:10.1097/CCM.0000000000002252. PMID:28169943.
Tran NK, Godwin ZR, Steele AN, Wolf SE, Palmieri TL. Clinical Impact of Accurate Point-of-Care Glucose Monitoring for Tight Glycemic Control in Severely Burned Children. Pediatr Crit Care Med. 2016 Sep;17(9):e406-12. doi:10.1097/PCC.0000000000000877. PMID:27472251.