Dr. Moom Roosan

Dr. Moom Roosan

Assistant Professor
School of Pharmacy
Expertise: Pharmacogenomics; Genomics; Bioinformatics; Oncology; Biomedical Informatics; Medication Safety;
Office Location: Rinker Health Science Campus 296E
Phone: (714) 516-5472
Education:
Purdue University, Doctor of Pharmacy
University of Utah, Ph.D.

Biography

Dr. Moom Roosan joined Chapman University School of Pharmacy on June 4, 2018.  Dr. Roosan has received her Associate of Science in Computer Science from Indiana University and Purdue University at Fort Wayne in 2006 and Doctor of Pharmacy (PharmD) from Purdue University in 2010. Since her PharmD graduation, she has worked in various retail and hospital pharmacy settings. In 2012, she was awarded a National Library Medicine Post-Doctoral Fellowship. She received her PhD from University of Utah School of Medicine in Biomedical Informatics with the focus on genomics and clinical informatics. She worked as a post-doctoral research associate with the Bild lab after completion of her PhD.

She also worked as clinical pharmacist in acute setting and as the clinical informatics director in a start-up company. Most recently, she served as an implementation pharmacist with Cardinal Health Pharmacy Services for 17 hospitals across the country.  Dr. Roosan’s research is positioned at the intersection of translational bioinformatics, computational biology and clinical informatics.  Her work in bioinformatics and computational biology has already resulted in publications in Genome Medicine and Bioinformatics.

Research interests:

Dr. Roosan’s research focuses on pharmacogenomics, the effect of RNA expression and pathway deregulation in personalized drug response, implementation of complex genomics data into electronic health care records, consumer and clinical informatics.

Recent Creative, Scholarly Work and Publications

Predicting survival of NSCLC patients treated with immune checkpoint inhibitors: Impact and timing of immune-related adverse events and prior tyrosine kinase inhibitor therapy. Front Oncol. 2023; 13:1064169.
Quantitative phosphoproteomic analysis reveals unique cAMP signaling pools emanating from AC2 and AC6 in human airway smooth muscle cells. Frontiers in Physiology. 2023; 14.
Untargeted metabolomics analysis on kidney tissues from mice reveals potential hypoxia biomarkers. Scientific Reports. 2023;13:17516.
PGxKnow: a pharmacogenomics educational HoloLens application of augmented reality and artificial intelligence. Future Medicine. 2022; 23(4): 235-245.
Zeiger A, Andraos J, Sharma A, Roosan MR. Pharmacogenomic Considerations in Opioid Therapy. US Pharm. 2022;47(3): HS7-HS12.
Roosan D, Wu Y, Tran M, Huang Y, Baskys A, Roosan MR. Opportunities to integrate nutrigenomics into clinical practice and patient counseling. Eur J Clin Nutr. 2022.
Artificial Intelligent Context-Aware Machine-Learning Tool to Detect Adverse Drug Events from Social Media Platforms. J. Med. Toxicol. 2022; 18, 311–320.
Pharmacists’ Response to the Opioid Crisis: A California Naloxone Survey. Journal of Contemporary Pharmacy Practice.2022; 69 (3): 30–35.
Petry NJ, Roosan MR, Cicali EJ, Duarte JD. Implementation: A Guide to Implementing Pharmacogenomics Services. In: Lam JT, Gutierrez MA, Shah S. eds. Pharmacogenomics: A Primer for Clinicians. McGraw-Hill.
Li Y, Duche A, Sayer MR, Roosan D, Khalafalla FG, Ostrom RS, Totonchy J, Roosan MR. SARS-CoV-2 early infection signature identified potential key infection mechanisms and drug targets. BMC Genomics 22, 125 (2021).
Kathuria A, Roosan MR, Sharma A. CYP2C9 Polymorphism and Use of Oral Nonsteroidal Anti-Inflammatory Drugs. US Pharm. 2021;54(3):23-30.
Roosan MR, Mambetsariev I, Pharaon R, Fricke J, Husain H, Reckamp KL, Koczywas M, Massarelli E, Bild AH, Salgia R. Usefulness of Circulating Tumor DNA in Identifying Somatic Mutations and Tracking Tumor Evolution in Patients with Non-Small Cell Lung Cancer. Chest. 2021 Apr 18
Roosan MR, Mambetsariev I, Pharaon R, Fricke J, Baroz AR, Chao, J.; Chen, C.; Nasser, M.W.; Chirravuri-Venkata, R.; Jain, M.; et al. Evaluation of Somatic Mutations in Solid Metastatic Pan-Cancer Patients. Cancers 2021, 13, 2776.
Nuñez FJ, Johnstone TB, Corpuz ML, Kazarian AG, Tliba O, Panettieri RA, Kozio-White C, Roosan MR, Ostrom RS. Glucocorticoids rapidly activate cAMP production via Gas to initiate non-genomic signaling that contributes to one third of their canonical genomic effects. The FASEB Journal. 2020; 34: 2882– 2895.
Roosan, D., Hwang, A. & Roosan, M.R. Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy. Pharmacogenomics J (2020).
Bodily WR, Shirts BH, Walsh T, Gulsuner S, King MC, Parker A, Roosan MR, Piccolo SR. Effects of germline and somatic events in candidate BRCA-like genes on breast-tumor signatures. PLOS ONE (2020)15(9): e0239197.
Roosan D, Hwang A, Law AV, Chok J, Roosan MR. The inclusion of health data standards in the implementation of pharmacogenomics systems: a scoping review. Pharmacogenomics (2020).
Roosan D, Chok J, Karim M, Law AV, Baskys A, Hwang A, Roosan MR. Artificial Intelligence–Powered Smartphone App to Facilitate Medication Adherence: Protocol for a Human Factors Design Study. JMIR Res Protoc. 2020 Nov 9;9(11):e21659.
Roosan D, Law AV, Karim M, Roosan M. Improving Team-Based Decision Making Using Data Analytics and Informatics: Protocol for a Collaborative Decision Support Design. JMIR Res Protoc 2019;8(11):e16047.
Roosan D, Li Y, Law A, Truong H, Karim M, Chok J, Roosan M. Improving Medication Information Presentation Through Interactive Visualization in Mobile Apps: Human Factors Design. JMIR Mhealth Uhealth 2019;7(11):e15940.
Rahman M, MacNeil SM, Jenkins DF, Shrestha G, Wyatt SR, McQuerry JA, Piccolo SR, Heiser LM, Gray JW, Johnson WE, Bild AH. Activity of distinct growth factor receptor network components in breast tumors uncovers two biologically relevant subtypes. Genome Medicine. 2017 Apr 26;9(1):40.
Roosan D, Weir C, Samore M, Jones M, Rahman M, Stoddard GJ, Del Fiol G. Identifying complexity in infectious diseases inpatient settings: An observation study. Journal of Biomedical Informatics. 2016 Nov 3;71:S13-S21.
Shen Y, Rahman M (co-first), Piccolo SR, Gusenleitner D, El-Chaar NN, Cheng L, Monti S, Bild AH, Johnson WE. ASSIGN: Context-specific genomic profiling of multiple heterogeneous biological pathways. Bioinformatics. 2015 Jun 1;31(11):1745-53.
Rahman M, Jackson LK, Johnson WE, Li DY, Bild AH, Piccolo SR. Alternative preprocessing of RNA-sequencing data in The Cancer Genome Atlas leads to improved analysis results. Bioinformatics. 2015 Nov 15;31(22):3666-72.

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