Automating Infectious Disease Surveillance with Artificial Intelligence (2021-2023)
Abstract
During viral pandemics, bacterial infections can significantly increase disease severity and result in unnecessarily high death rates. Disease severity is further complicated by high rates of antimicrobial resistance. This fellowship will evaluate and develop an integrated Artificial Intelligence platform to automate and enhance existing genomic surveillance practices to reducing the burden of these infections when healthcare resources are stretched.
