Frank Meng PhD
Assistant Professor, General Internal Medicine
150 S Huntington Avenue | (857) 364-4201frank.meng2@va.gov
Sections
General Internal Medicine
Biography
Frank Meng, PhD is an Assistant Professor of Medicine in General Internal Medicine at the Chobanian and Avedisian School of Medicine and the Associate Director of Clinical Informatics at the VA Boston Healthcare System. Before entering academia, Dr. Meng worked as a software engineer and a project leader at companies like IBM and The Aerospace Corporation. He began working in the medical field in 2013 when he first taught a course called "Introduction to medical informatics seminar" at UCLA. Since then he has published papers and given lectures, but his technological background is apparent in his writing, which includes big data and informatics as they related to the medical field.
Education
Computer Science, PhD, University of California, Los Angeles School of Medicine
Publications
Sweeney SM, Hamadeh HK, Abrams N, Adam SJ, Brenner S, Connors DE, Davis GJ, Fiore LD, Gawel SH, Grossman RL, Hanlon SE, Hsu K, Kelloff GJ, Kirsch IR, Louv B, McGraw D, Meng F, Milgram D, Miller RS, Morgan E, Mukundan L, O'Brien T, Robbins P, Rubin EH, Rubinstein WS, Salmi L, Schaller TH, Shi G, Sigman CC, Srivastava S. Case Studies for Overcoming Challenges in Using Big Data in Cancer. Cancer Res. 2023 Apr 14; 83(8):1183-1190. PMID: 36625851.
Published on 4/14/2023Sweeney SM, Hamadeh HK, Abrams N, Adam SJ, Brenner S, Connors DE, Davis GJ, Fiore L, Gawel SH, Grossman RL, Hanlon SE, Hsu K, Kelloff GJ, Kirsch IR, Louv B, McGraw D, Meng F, Milgram D, Miller RS, Morgan E, Mukundan L, O'Brien T, Robbins P, Rubin EH, Rubinstein WS, Salmi L, Schaller T, Shi G, Sigman CC, Srivastava S. Challenges to Using Big Data in Cancer. Cancer Res. 2023 Apr 14; 83(8):1175-1182. PMID: 36625843.
Published on 11/1/2022Livingston NA, Davenport M, Head M, Henke R, LeBeau LS, Gibson TB, Banducci AN, Sarpong A, Jayanthi S, Roth C, Camacho-Cook J, Meng F, Hyde J, Mulvaney-Day N, White M, Chen DC, Stein MD, Weisberg R. The impact of COVID-19 and rapid policy exemptions expanding on access to medication for opioid use disorder (MOUD): A nationwide Veterans Health Administration cohort study. Drug Alcohol Depend. 2022 Dec 01; 241:109678. PMID: 36368167.
Published on 11/12/2021Dhond R, Acher R, Leatherman S, Page S, Sanford R, Elbers D, Meng F, Ferguson R, Brophy MT, Do NV. Rapid implementation of a modular clinical trial informatics solution for COVID-19 research. Inform Med Unlocked. 2021; 27:100788. PMID: 34786452.
Published on 8/17/2020Elbers DC, Fillmore NR, Sung FC, Ganas SS, Prokhorenkov A, Meyer C, Hall RB, Ajjarapu SJ, Chen DC, Meng F, Grossman RL, Brophy MT, Do NV. The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. Patterns (N Y). 2020 Sep 11; 1(6):100083. PMID: 33205130.
Published on 10/2/2019Do 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. PMID: 31629530.
Published on 8/21/2019Do 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. PMID: 31438177.
Published on 4/29/2019Lee JSH, Darcy KM, Hu H, Casablanca Y, Conrads TP, Dalgard CL, Freymann JB, Hanlon SE, Huang GD, Kvecher L, Maxwell GL, Meng F, Moncur JT, Turner C, Wells JM, Wilkerson MD, Zhu K, Ramoni RB, Shriver CD. From Discovery to Practice and Survivorship: Building a National Real-World Data Learning Healthcare Framework for Military and Veteran Cancer Patients. Clin Pharmacol Ther. 2019 07; 106(1):52-57. PMID: 30838639.
Published on 12/22/2016Shen S, Han SX, Petousis P, Weiss RE, Meng F, Bui AA, Hsu W. A Bayesian model for estimating multi-state disease progression. Comput Biol Med. 2017 Feb 01; 81:111-120. PMID: 28038345.
Published on 12/1/2016Morioka C, Meng F, Taira R, Sayre J, Zimmerman P, Ishimitsu D, Huang J, Shen L, El-Saden S. Automatic Classification of Ultrasound Screening Examinations of the Abdominal Aorta. J Digit Imaging. 2016 Dec; 29(6):742-748. PMID: 27400914.