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AI Speaker Series: Accelerating Discoveries in Biology & Medicine Using AI

We partnered with the Emerging and Pandemic Infections Consortium (EPIC) and the Temerty Centre for AI Research and Education in Medicine to host a three-part speaker series on Artificial Intelligence (AI) and infectious diseases/public health emergencies.

Moderated by The Globe and Mail's Ivan Semeniuk, this series is a fascinating exploration of how AI is revolutionizing the way we detect and respond to infectious diseases and public health emergencies. All the events are free and offered in a hybrid format.

Join us for the third session in the series, on November 19, 2024, for a discussion on accelerating discoveries in biology and medicine using AI. Keynote speaker Cesar de la Fuente (University of Pennsylvania) will be joined by panelists Dionne Aleman (University of Toronto, Faculty of Applied Science & Engineering) and Artem Babaian (University of Toronto, Temerty Faculty of Medicine).

We will again be hosting a students-only lunch after the session to give students an opportunity to engage and network with our esteemed speaker and panelists. Space is limited and available on a first-come, first-served basis.

Registration details

We are thrilled to feature this event as a part of the third annual Antimicrobial Resistance (AMR) Symposium happening from November 19th - 20th, 2024 at the Sheraton Centre, Toronto. The symposium program agenda and AI session details can be found here.  

If you are interested in attending the two-day symposium, please register here.

The AI session will be featured under the theme “Tools to Power the Fight Against AMR” on Nov. 19th between 11 am -12 pm ET. The session will also be offered virtually, and links will be shared with the registrants closer to the date.  

If you would like to attend the AI & infectious diseases speaker series session ONLY and not the remainder of the symposium, please use the discount code “AIONLY” at the time of registration.  

Please note that registrants who use this discount code will be identified by a unique color of name badge that will not permit them access to other sessions at the AMR symposium.

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