Title: Predicting the effectiveness of COVID-19 vaccines and treatments


Abstract: The raging global COVID-19 pandemic has triggered enormous global efforts to develop and improve COVID-19 vaccines and antiviral treatments. Predicting the efficacy of COVID-19 vaccines and treatments would aid in the identification of optimal vaccine/treatment development and usage strategies. In this talk, I will first describe our multiscale mathematical model that presents mechanistic links between COVID-19 vaccine efficacies and the vaccine-induced neutralisation antibody responses. I will then discuss a mathematical model of SARS-CoV-2 entry into target cells that unravels an unexpected synergy between antivirals targeting the different virus entry pathways.

About AI4PAN Artificial Intelligence for Pandemics Seminar Series centred at UQ

Welcome to AI4PAN, the Artificial Intelligence for Pandemics group centered at The University of Queensland (UQ). The group's focus is the application of data science, machine learning, statistical learning, applied mathematics, computation, and other "artificial intelligence" techniques for managing pandemics both at the epidemic and clinical level.