Moom Roosan

Assistant Professor

Chapman University School of Pharmacy

United States

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Dr. Moom Roosan is an Assistant Professor at Chapman University School of Pharmacy in the United States. His research focuses on pharmacogenomics, biomarkers for diseases, and the application of artificial intelligence in healthcare. Recent publications include studies on interprofessional competencies, melanoma progression, and survival predictions for cancer patients.

Articles (14)

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2025

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2020

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2020

Collaborators (8)

Scott Ochs

Professor

University of New England

UNITED STATES

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Yan Li

Associate Professor

Claremont Graduate University

UNITED STATES

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Robert Goldsteen

Chairman and Professor of PreClinical Medicine

Burrell College of Osteopathic Medicine

UNITED STATES

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Joanne Mortimer

Director, Womens Cancers Program, Vice Chair Medical Oncology, Professor, Division of Medical Oncology & Experimental Therapeutics, Associate Director for Education and Training, Baum Family Professor of Women's Cancers

City of Hope Comprehensive Cancer Center

UNITED STATES

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Don Roosan

Associate Professor

Merrimack College

UNITED STATES

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Mazharul Karim

University of Utah

UNITED STATES

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Francisco Nunez

City Of Hope National Medical Center

UNITED STATES

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Leonidas Arvanitis

UNITED STATES

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Moom Roosan

Research Interests

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Articles (14)

Utilizing pharmacogenomics to improve students' self‐perception on the interprofessional competencies of roles and responsibilities, and teams and teamwork

Crosstalk Between nNOS/NO and COX-2 Enhances Interferon-Gamma-Stimulated Melanoma Progression

Predicting survival of NSCLC patients treated with immune checkpoint inhibitors: Impact and timing of immune-related adverse events and prior tyrosine kinase inhibitor therapy.

Untargeted metabolomics analysis on kidney tissues from mice reveals potential hypoxia biomarkers.

Quantitative phosphoproteomic analysis reveals unique cAMP signaling pools emanating from AC2 and AC6 in human airway smooth muscle cells.

Artificial Intelligent Context-Aware Machine-Learning Tool to Detect Adverse Drug Events from Social Media Platforms

PGxKnow: a pharmacogenomics educational HoloLens application of augmented reality and artificial intelligence

Scoping review: the empowerment of Alzheimer’s Disease caregivers with mHealth applications

Usefulness of Circulating Tumor DNA in Identifying Somatic Mutations and Tracking Tumor Evolution in Patients with Non-Small Cell Lung Cancer.

Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy

Evaluation of Somatic Mutations in Solid Metastatic Pan-Cancer Patients

Artificial Intelligence–Powered Smartphone App to Facilitate Medication Adherence: Protocol for a Human Factors Design Study

The inclusion of health data standards in the implementation of pharmacogenomics systems: a scoping review

Effects of germline and somatic events in candidate BRCA-like genes on breast-tumor signatures

Collaborators (8)

Scott Ochs

Yan Li

Robert Goldsteen

Joanne Mortimer

Don Roosan

Mazharul Karim

Francisco Nunez

Leonidas Arvanitis

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