Researchers from Florida Atlantic University's College of Engineering and Computer Science and Schmidt College of Medicine (all in Boca Raton) announced on June 24 that they have received a 1-year, $90,000 National Science Foundation RAPID project grant to design a COVID-19 knowledge base and risk assessment tool powered by artificial intelligence (AI).
The research will use social networks and AI, facilitated by molecular genetics and viral infection for COVID-19 modeling.
The researchers note that as the fight against COVID-19 continues, a wealth of information is being produced. As a result, differences in outbreaks with respect to diverse geographies, regional policies, and cultural groups is raising confusion, contradictions, and inconsistencies in disease outbreak modeling.
This research project, "RAPID: COVID-19 Coronavirus Testbed and Knowledge Base Construction and Personalized Risk Evaluation," will address these discrepancies and help understand the correlations and roles different factors play in predicting the spread of the virus. It also will provide individual information for risk evaluation.