Tech Talent Investment Program

MeAgainMeds.com, a free AI-powered website, helps clinicians more effectively match patients with the optimal antidepressant using big data.

In addition to being the MHA Online Program Coordinator and Assistant Professor, Maria Uriyo uses STEM/robotics as a tool to teach middle and high school age students problem- solving skills

The Leading Niche CEO Tamara Nall and her husband, Clement Ezeanii, have created the Susanna Ezeanii and Mayfred Jolinda Nall Health Informatics Scholarship Endowment to honor the memories of their mothers while making educational aspirations tangible for College of Public Health students.

George Mason University today announced an anonymous $4.85 million gift to advance groundbreaking research on bruise and injury detection for individuals who experience interpersonal violence. The funding will help develop new tools in imaging technology using a light source that is five times better than white light for identifying and visualizing bruising across all skin tones for use by forensic nurses, social service providers, and law enforcement.

The College of Public Health + Fuse at Mason Square accelerate potential for Virtual Reality-enhanced learning opportunities

The College of Public Health announces three newly credentialed Certified Healthcare Simulation Educators - advancing toward goal of offering VR-enhanced curriculum to every student

​​​​​​​Health informatics is one of the fastest-growing and in-demand health care career fields. The Bureau of Labor Statistics (BLS) predicts the demand for health information technologists, and other health informatics-related positions, will grow faster than the national average over the next 10 years. To put it simply, employment prospects are high.

Dr. Farrokh Alemi is a professor in the Department of Health Administration and Policy at the George Mason College of Public Health. Dr. Alemi’s research expertise includes the use of data mining, natural language processing, and artificial intelligence in health services research. 

Researchers led by Professors Farrokh Alemi and Janusz Wojtusiak found that computerized symptom screenings can supplement at-home COVID-19 tests to better confirm the diagnosis for patients and clinicians.

A new study from College of Health and Human Services’ researchers validates the use of artificial intelligence and seasonality to screen patients and identify the probability of COVID-19 prior to testing.