Mary Regina Boland, MA, MPhil, Ph.D., FAMIA

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Assistant Professor of Informatics in Biostatistics and Epidemiology
Department: Biostatistics and Epidemiology

Contact information
Department of Biostatistics, Epidemiology & Informatics
University of Pennsylvania
421 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104
B.S. (Bioinformatics)
Saint Vincent College, 2010.
M.A. (Biomedical Informatics)
Columbia University, 2012.
Columbia University, 2016.
Ph.D. (Biomedical Informatics)
Columbia University, 2017.
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Description of Clinical Expertise

Women's health; Prenatal exposures; Ovarian cancer; Ovarian disorders

Description of Other Expertise

BMIN 505: Precision Medicine and Health Policy
Offered during the spring semester, Tuesdays, 5-8pm (1 CU)
Course director: Mary Regina Boland, PhD

This course is designed to provide an in-depth exploration in various health policy implications of informatics research and ways to incorporate precision medicine science into the healthcare system using informatics. The implications this will have in the next decade of clinical science will be discussed along with health policy implications, and the role of clinical decision making in this space.

Description of Research Expertise

The goal of our lab is to develop novel methods that shed light on environmental and socioeconomic exposures that are important in women's health and fetal outcomes.

Our research focuses on developing novel and shareable informatics methods that utilize clinical and genetics data obtained during routine clinical care to enable novel discoveries.

We explore several key areas:
- Environment: We explore the relationship between birth season and later risk of disease, using birth season as a proxy for seasonal variance in environmental exposures. We are also delving deeper into environmental pollutants, toxins and exposures that are pertinent to the Philadelphia area.
- Medications: We investigate the role of pharmaceutical drugs taken during the prenatal period and their relationship with outcomes for women and their offspring.
- Genetics: We leverage the power of the Penn Medicine Biobank to enable novel discoveries pertinent for women's health

Each of these areas requires the development of novel and shareable methods tailored to specific exposures and outcomes.

Keywords: Electronic Health Records; Genetics; BioBank; Reproducibility; Data Sharing; Informatics; Algorithms; Text Mining; Knowledge Reuse and Discovery; Machine Learning; Deep Learning; Data-Driven Knowledge Discovery

Selected Publications

MR Boland, NP Tatonetti. : Attention Deficit-Hyperactivity Disorder and Month of School Enrollment. NEJM 380(7): 692-693, Feb 2019.

MR Boland, A Kashyap, J Xiong, JH Holmes, S Lorch. : Development and Validation of the PEPPER Framework (Prenatal Exposure PubMed ParsER) with Applications to Food Additives. J Am Med Inform Assoc. 25(11): 1432-1443, Nov. 2018.

MR Boland, S Alar-Gupta, L Levine, P Gabriel, G Gonzalez. : Disease Associations Depend on Visit Type: Results from a Visit-Wide Association Study. BioData Mining 12(1): 15, 2019.

S Alur-Gupta, MR Boland, MD Sammel, K Barnhart, A Dokras.: Higher incidence of postpartum complications in women with PCOS. Fertility and Sterility 112 (3), e39(3): e39, September 2019.

MR Boland, MS Kraus, E Dziuk, AR Gelzer: Cardiovascular Disease Risk Varies by Birth Month in Canines. Scientific Reports 8: 7130, May 2018.

MR Boland: A Model Investigating Environmental Factors that Play a Role in Female Fecundity or Birth Rate. PLOS ONE 13(11), Nov 2018.

MR Boland, P Parhi, R Miotto, R Carroll, U Iqbal, P-A Nguyen, M Schuemie, SC You, D Smith, S Mooney, P Ryan, Y-C Li, RW Park, J Denny, JT Dudley, G Hripcsak, P Gentine, NP Tatonetti.: Uncovering exposures responsible for birth season – disease effects: a global study. Journal of the American Medical Informatics Association (JAMIA) Sept 2017.

R Duan#, MR Boland#, JH Moore, Y Chen. #first-author: ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites. Pacific Symposium on Biocomputing Jan 2019.

J Moore, MR Boland, P Camara, G Gonzalez, B Himes, D Mowery, M Ritchie, L Shen, R Urbanowicz, J Holmes. : Preparing next generation scientists for biomedical big data: Artificial intelligence approaches. Personalized Medicine. 16(3): 247-257, May 2019.

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Last updated: 12/24/2019
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