Machine Learning

George Mason University has been awarded funding from the National Institutes of Health through its Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program.

A new study from the College of Public Health, led by Professor Janusz Wojtusiak and Health Services Research doctoral candidate Ghaida Alsadah explores the use of machine learning to predict social isolation among caregivers of individuals with Alzheimer’s Disease and related disorders.

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.

An interprofessional Mason research team led by Associate Professor Hong Xue used machine learning and social media data in the first large-scale study to analyze factors that influence effective antismoking campaigns and user engagement.

How can we better understand how people move during the pandemic and how they spread COVID-19? Janusz Wojtusiak, associate professor of health informatics and director of the Machine Learning Inference Lab is leading one of the first individual-level studies on social distancing.