BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Australian Data Science Network - ECPv6.18.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science Network
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Australia/Brisbane
BEGIN:STANDARD
TZOFFSETFROM:+1000
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20200101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211215T100000
DTEND;TZID=Australia/Brisbane:20211215T104500
DTSTAMP:20211213T064026Z
CREATED:20211026T024901Z
LAST-MODIFIED:20211213T064026Z
UID:2749-1639562400-1639565100@australiandatascience.net
SUMMARY:AI4Pandemics Talk #12: Pranesh Padmanabhan\, The University of Queensland
DESCRIPTION:Zoom link \nTitle: Predicting the effectiveness of COVID-19 vaccines and treatments \nAbstract: \nThe 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.
URL:https://australiandatascience.net/event/ai4pandemics-talk-12-pranesh-padmanabhan-the-university-of-queensland/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
END:VCALENDAR