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

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Assistant Professor of Informatics in Biostatistics and Epidemiology
Affiliate Member, Center for Excellence in Environmental Toxicology
Member, Children's Hospital of Pennsylvania, Department of Biomedical and Health Informatics
Senior Fellow, Institute for Biomedical Informatics, University of Pennsylvania School of Medicine
Senior Fellow , Leonard Davis Institute for Health Economics, Wharton School of Business, University of Pennsylvania
Associate Director, Masters of Biomedical Informatics Program (BMIN), Perelman School of Medicine, University of Pennsylvania
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

Diversity and Inclusion:
I come from a low socioeconomic status household, which is a NIH recognized 'disadvantaged' background. This has fueled my passion for research into socioeconomic disparities among other types of disparities that exist in healthcare. I am committed to promoting Penn's efforts to promote student inclusion and diversity and I am actively involved in promoting diversity at the University of Pennsylvania through various institutional programs.

BMIN 505: Precision Medicine and Health Policy
Offered during the spring semester, Wednesdays, 3:30-6:30pm (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

S Canelon, S Butts, MR Boland. : Evaluation of Stillbirth Among Pregnant People with Sickle Cell Trait. JAMA Network Open 4(11): e2134274, 11-Nov 2021 Notes: DOI: 10.1001/jamanetworkopen.2021.34274

JR Meeker, SP Canelon, R Bai, LD Levine, MR Boland. : Individual- and Neighborhood-Level Risk Factors for Severe Maternal Morbidity. Obstetrics & Gynecology 137(4): 847-854, May 2021 Notes: doi: 10.1097/AOG.0000000000004343.

JR Meeker, HH Burris, R Bai, LD Levine, MR Boland. : Neighborhood deprivation increases the risk of post-induction cesarean delivery. Journal of American Medical Informatics Association (JAMIA) 29(2): 329-334, Feb 2022.

MR Boland, L Davidson, S Canelon, J Meeker, T Penning, JH Holmes, J Moore. : Harnessing Electronic Health Records to Study Emerging Environmental Disasters: A Proof of Concept with Perfluoralkyl Substances (PFAS). Nature Digital Medicine. 2021; In press. 8-August 2021.

L Davidson, MR Boland. : Towards Deep Phenotyping Pregnancy: A Systematic Review on Artificial Intelligence and Machine Learning Methods to Improve Pregnancy Outcomes. Briefings in Bioinformatics 22(5): bbaa369, Sept 2021 Notes: doi: 10.1093/bib/bbaa369.

A Kashyap, H Burris, C Callison-Burch, MR Boland. : The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for Predicting Acronym Sense from Neonatal Clinical Notes. International Journal of Medical Informatics. 137: 104101, May 2020 Notes: doi: 10.1016/j.ijmedinf.2020.104101.

S Canelon, HH Burris, LD Levine, MR Boland. : Development and Evaluation of MADDIE: Method to Acquire Delivery Date Information from Electronic Health Records. International Journal of Medical Informatics 145: 104339, Jan 2021 Notes: doi: 10.1016/j.ijmedinf.2020.104339.

S Canelon, MR Boland. : A Systematic Literature Review on Factors Affecting the Timing of Menarche: Potential for Climate Change to Impact Women's Health. International Journal of Environmental Research and Public Health. 5(17): 1703, 3-Mar 2020 Notes: doi: 10.3390/ijerph17051703.

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

S Tadlock, C Phillips, ML Casal, MC Kraus, AR Gelzer, MR Boland. : Development of an Informatics Algorithm to Link Seasonal Infectious Diseases to Birth-Dependent Diseases Across Species: A Case Study with Osteosarcoma. AMIA Informatics Summit 2021 Mar 2021.

MR Boland, J Liu, C Balocchi, JR Meeker, R Bai, I Mellis, D Mowery, D Herman. : A Method to Link Neighborhood-Level Covariates to COVID-19 Infection Patterns in Philadelphia Using Spatial Regression. AMIA Informatics Summit 2021 3-March 2021.

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

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Last updated: 03/16/2023
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