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Building collaboration for deeper learning and better care

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Colloques et conférences

This inaugural Symposium aims to explore the theme building collaboration for deeper learning and better care. The event will feature a panel discussion, highlighting the expertise of those working with AI from across the country. Panelists will share their experiences with AI implementation and adoption into practice, followed by an interactive discussion and Q&A from Symposium attendees.

The objectives are to:

  • Engage in a national dialogue on AI adoption in healthcare
  • Promote AI innovation in Canadian healthcare
  • Discuss leveraging AI to provide compassionate and high quality care

Activities

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Featured project

Effect of oxygen pressure in cancerous tissue cells on radiotherapy treatments

Student member : Corinne Chouinard

Radiotherapy treatments currently used in the clinical field are rarely modified. They generally consist of a global therapy of 50 grays, fractionated in five treatments of two grays every week for five weeks.
Thus, it could be worthwhile to develop a numeric tool, based on mathematical models found in the literature, in order to compare different types of treatment without having to test them on real tissues. Several parameters are known to alter the tissue response after irradiation including oxygen

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