Machine learning networks help epidemic response 

EPI associate director of research initiatives Marco Salemi, Ph.D., and EPI member Simone Marini, Ph.D., collaborate with a team of faculty and students at the University of Florida to leverage artificial intelligence in their research. Their research aims to understand what specific geographic areas or conditions correlate with high-risk populations for HIV. The goal is to implement strategies to design AI models that can track how viruses evolve and predict future epidemics for multiple diseases like COVID-19 and malaria.
Read the article "Artificial intelligence transforms how UF researchers forecast and respond to disease" to learn more.
#DiseaseManagement #DiseaseDetection #ArtificialIntelligence #MachineLearning #HIV #UFEPI #EPIresearch