Nhan Van Do, MD
Assistant Professor
Boston University School of Medicine
Dept of Medicine
General Internal Medicine

MD, George Washington University School of Medicine
MS, Stanford University




Nhan Van Do is an Assistant Professor of Medicine at BUSM and the Director of the Informatics Center at the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC). Dr. Do completed his training in Biomedical Informatics at Stanford University. After his Informatics training and prior to joining the VA and the faculty at BU, he had served in several informatics leadership positions in the Military Health System such as Chief Medical Information Officer and Medical Informatics Consultant to Surgeon General to manage and support the design, development, implementation, and evaluation of health information technology. In his current position as the Informatics Center Director, he is responsible for developing the computing infrastructure to support the VA’s Research Precision Oncology program and Point of Care Research. His research interests also include clinical decision support and predictive analytics.

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

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  1. Fillmore NR, La J, Szalat RE, Tuck DP, Nguyen V, Yildirim C, Do NV, Brophy MT, Munshi NC. Prevalence and Outcome of COVID-19 Infection in Cancer Patients: A National Veterans Affairs Study. J Natl Cancer Inst. 2021 06 01; 113(6):691-698.View Related Profiles. PMID: 33031532; PMCID: PMC7665587; DOI: 10.1093/jnci/djaa159;
     
  2. Fillmore NR, Elbers DC, La J, Feldman TC, Sung FC, Hall RB, Nguyen V, Link N, Zwolinski R, Dipietro S, Miller SJ, Aleksanyan A, Goryachev SD, Corcoran P, Bergstrom SJ, Parenteau MA, Sprague RS, Thornton DJ, Driver JA, Strymish JM, Evans S, Colonna B, Brophy MT, Do NV. An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center. J Am Med Inform Assoc. 2020 11 01; 27(11):1716-1720.View Related Profiles. PMID: 33067628; PMCID: PMC7665524; DOI: 10.1093/jamia/ocaa162;
     
  3. La J, Cheng D, Brophy MT, Do NV, Lee JSH, Tuck D, Fillmore NR. Real-World Outcomes for Patients Treated With Immune Checkpoint Inhibitors in the Veterans Affairs System. JCO Clin Cancer Inform. 2020 10; 4:918-928.View Related Profiles. PMID: 33074743; PMCID: PMC7608595; DOI: 10.1200/CCI.20.00084;
     
  4. Panayides AS, Amini A, Filipovic ND, Sharma A, Tsaftaris SA, Young A, Foran D, Do N, Golemati S, Kurc T, Huang K, Nikita KS, Veasey BP, Zervakis M, Saltz JH, Pattichis CS. AI in Medical Imaging Informatics: Current Challenges and Future Directions. IEEE J Biomed Health Inform. 2020 07; 24(7):1837-1857. PMID: 32609615; DOI: 10.1109/JBHI.2020.2991043;
     
  5. Yellapragada SV, Fillmore NR, Frolov A, Zhou Y, Dev P, Yameen H, Ifeorah C, Do NV, Brophy MT, Munshi NC. Vitamin D deficiency predicts for poor overall survival in white but not African American patients with multiple myeloma. Blood Adv. 2020 04 28; 4(8):1643-1646.View Related Profiles. PMID: 32315398; PMCID: PMC7189302; DOI: 10.1182/bloodadvances.2019001411;
     
  6. Cheng D, Ramos-Cejudo J, Tuck D, Elbers D, Brophy M, Do N, Fillmore N. External validation of a prognostic model for mortality among patients with non-small-cell lung cancer using the Veterans Precision Oncology Data Commons. Semin Oncol. 2019 Aug - Oct; 46(4-5):327-333.View Related Profiles. PMID: 31708233
     
  7. Do N, Grossman R, Feldman T, Fillmore N, Elbers D, Tuck D, Dhond R, Selva L, Meng F, Fitzsimons M, Ajjarapu S, Ayandeh S, Hall R, Do S, Brophy M. The Veterans Precision Oncology Data Commons: Transforming VA data into a national resource for research in precision oncology. Semin Oncol. 2019 Aug - Oct; 46(4-5):314-320.View Related Profiles. PMID: 31629530
     
  8. Fillmore N, Do N, Brophy M, Zimolzak A. Interactive Machine Learning for Laboratory Data Integration. Stud Health Technol Inform. 2019 Aug 21; 264:133-137.View Related Profiles. PMID: 31437900
     
  9. Do NV, Ramos JC, Fillmore NR, Grossman RL, Fitzsimons M, Elbers DC, Meng F, Johnson BR, Ajjarapu S, DeDomenico CL, Pierce-Murray KE, Hall RB, Do AF, Gaynor K, Elkin PL, Brophy MT. Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons. Stud Health Technol Inform. 2019 Aug 21; 264:1453.View Related Profiles. PMID: 31438177
     
  10. Fillmore NR, Yellapragada SV, Ifeorah C, Mehta A, Cirstea D, White PS, Rivero G, Zimolzak A, Pyarajan S, Do N, Brophy M, Munshi NC. With equal access, African American patients have superior survival compared to white patients with multiple myeloma: a VA study. Blood. 2019 06 13; 133(24):2615-2618.View Related Profiles. PMID: 31003998; PMCID: PMC6566591; DOI: 10.1182/blood.2019000406;
     
Showing 10 of 22 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 22 publications over 11 distinct years, with a maximum of 5 publications in 2019

YearPublications
20011
20041
20062
20074
20091
20111
20141
20151
20195
20204
20211

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72 East Concord Street
Boston MA 02118
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