- Medical School - University of Pennsylvania Perelman School of Medicine (2009-2016)
- Residency - Washington University in St. Louis School of Medicine (2016-2019), Pathology
- Fellowship - Washington University in St. Louis School of Medicine (2019-2020), Transfusion Medicine
Ray Zhang, M.D., Ph.D.
- Pathology
Education & Training
Books & Publications
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Publications
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Automating the Detection of IV Fluid Contamination Using Unsupervised Machine Learning.
Spies NC, Hubler Z, Azimi V, Zhang R, Jackups R, Gronowski AM, Farnsworth CW, Zaydman MA, Clinical chemistry 2023 Dec -
The effects of preconception and early gestation SARS-CoV-2 infection on pregnancy outcomes and placental pathology.
Hernandez PV, Chen L, Zhang R, Jackups R, Nelson DM, He M, Annals of diagnostic pathology 2023 Feb 62 152076 -
Stain-free detection of embryo polarization using deep learning.
Shen C, Lamba A, Zhu M, Zhang R, Zernicka-Goetz M, Yang C, Scientific reports 2022 02 12 1 2404 -
Translation suppression underlies the restrained COVID-19 mRNA vaccine response in the high-risk immunocompromised group.
Kim K, Narasimhan M, Mahimainathan L, Zhang R, Araj E, Kim E, Tharpe W, Greenberg BM, Greenberg DE, Li QZ, Cheng CA, Sarode R, Malladi S, Muthukumar A, Frontiers in immunology 2022 13 1020165 -
Clinical Decision Support Rapidly Improves Test Utilization During a Nationwide Phlebotomy Tube Shortage.
Jackups R, Scott MG, Zhang R, Clinical chemistry 2021 Aug -
Comparison of Six SARS-CoV-2 Molecular Methods and Correlation with the Cycle Threshold Distribution in Clinical Specimens.
Raju S, Anderson NW, Robinson E, Squires C, Wallace MA, Zhang R, Burnham CD, Parikh BA, The journal of applied laboratory medicine 2021 Jul -
A multi-modal diagnostic model improves detection of cardiac amyloidosis among patients with diagnostic confirmation by cardiac biopsy.
Zhang KW, Zhang R, Deych E, Stockerl-Goldstein KE, Gorcsan J, Lenihan DJ, American heart journal 2020 Nov 232 137-145 -
Optimizing management of replacement fluids for therapeutic plasma exchange: Use of an automated mathematical model to predict post-procedure fibrinogen and antithrombin levels in high-risk patients.
Zhang R, Dahl AB, Marchant B, Jackups RR, Karnes HE, Shah P, Dynis M, Thibodeaux SR, Despotis GJ, Journal of clinical apheresis 2019 Nov -
Association between the HLA-DRB1*03:01-DQB1*02:01 haplotype and PF4/heparin antibodies.
Zhang R, Duffy BF, Lange V, Eby CS, Liu C, Blood advances 2019 Oct 3 20 3136-3142 -
Large-Scale Assessment of Scan-Time Variability and Multiple-Procedure Efficiency for Cross-Sectional Neuroradiological Exams in Clinical Practice.
Zhang R, Narra VR, Kansagra AP, Journal of digital imaging 2019 Jul -
Performance of a Modern Glucose Meter in ICU and General Hospital Inpatients: 3 Years of Real-World Paired Meter and Central Laboratory Results.
Zhang R, Isakow W, Kollef MH, Scott MG Critical care medicine 2017 Jun -
Clinicopathogenomic analysis of mismatch repair proficient colorectal adenocarcinoma uncovers novel prognostic subgroups with differing patterns of genetic evolution.
Braxton DR, Zhang R, Morrissette JD, Loaiza-Bonilla A, Furth EE International journal of cancer 2016 May -
Discovering Biology in Periodic Data through Phase Set Enrichment Analysis (PSEA).
Zhang R, Podtelezhnikov AA, Hogenesch JB, Anafi RC Journal of biological rhythms 2016 Mar -
A circadian gene expression atlas in mammals: Implications for biology and medicine.
Zhang R, Lahens NF, Ballance HI, Hughes ME, Hogenesch JB Proceedings of the National Academy of Sciences of the United States of America 2014 Oct -
IVT-seq reveals extreme bias in RNA-sequencing.
Lahens NF, Kavakli IH, Zhang R, Hayer K, Black MB, Dueck H, Pizarro A, Kim J, Irizarry R, Thomas RS, Grant GR, Hogenesch JB Genome biology 2014 Jun 15 6 R86 -
Strong association of de novo copy number mutations with autism.
Sebat J, Lakshmi B, Malhotra D, Troge J, Lese-Martin C, Walsh T, Yamrom B, Yoon S, Krasnitz A, Kendall J, Leotta A, Pai D, Zhang R, Lee YH, Hicks J, Spence SJ, Lee AT, Puura K, Lehtimäki T, Ledbetter D, Gregersen PK, Bregman J, Sutcliffe JS, Jobanputra V, Chung W, Warburton D, King MC, Skuse D, Geschwind DH, Gilliam TC, Ye K, Wigler M, Science (New York, N.Y.) 2007 Apr 316 5823 445-9
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Automating the Detection of IV Fluid Contamination Using Unsupervised Machine Learning.