Artificial Intelligence

Scientists weigh the pros and cons of using artificial intelligence in epidemiological models to predict pandemics.

On Nov. 8, Marco Salemi, Ph.D., will leave his role as associate director of research initiatives to serve as interim director of the University of Florida Emerging Pathogens Institute.

The University of Florida’s AI initiative has transformed faculty research. Here's how Jason Blackburn and Marco Salemi, members of the Emerging Pathogens Institute, are using AI in their work.

A University of Florida research team is playing its part to stop the global HIV epidemic, applying the power of artificial intelligence to medical records.

Workers in agriculture, fisheries and forestry are among those at greatest risk nationally for injury and work-related health problems. Additionally, work-related fatalities are nearly seven times higher in these industries compared to all other industries in the United States. With the goal of reducing the incidence and severity of chronic and acute health and safety problems in these occupational groups, the University of Florida’s Southeastern Coastal Center for Agricultural Health and Safety, or SCCAHS, has been awarded $7 million in renewed funding from the National Institute of Occupational Safety and Health, which is part of the Centers for Disease Control and Prevention.

New funding will help close gaps in infectious disease outbreak modeling.

Experts in viral evolution and artificial intelligence are teaming up to create an algorithm capable of predicting novel coronavirus variants before they become public health threats. They will also study how the coronavirus mutates in people coinfected with HIV and COVID-19 to better understand how variants emerge.

A UF professor contributes to studies exploring the power and limitations of tools to predict the next wildlife pathogen capable of seeding a pandemic.