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UID:20260916T030345EDT-5442boJvkc@132.216.98.100
DTSTAMP:20260916T070345Z
DESCRIPTION:Title: A Hybrid Mathematical Approach to Improve Chemotherapy I
 mplant Treatment of Pancreatic Cancer.\n\nAbstract: Developing an effectiv
 e treatment for pancreatic cancer presents a unique challenge for two reas
 ons: (1) intravenous drug delivery results in limited concentration at the
  tumour site and (2) pancreatic tumours form dense impenetrable heterogene
 ous masses that inhibit drug diffusion. Chemotherapy-loaded implants are a
  promising experimental treatment that could overcome these challenges. Th
 e implants allow localised sustained delivery of chemotherapy and\, by car
 efully selecting the implant injection site\, can bypass the dense tumour 
 structure. Using a hybrid Voronoi Cellular Automaton (VCA) and PDE modelli
 ng approach\, we optimize two attributes of this therapy: the drug release
  profile and implant configuration. The implants can be made with differen
 t levels of polymer concentrations which affect the drug release profile. 
 From the model\, we have determined the optimal release profile as a funct
 ion of polymer concentration. We have also quantified the dependency of tr
 eatment outcome on implant location and configuration. Our model presents 
 a unique visualisation tool for our collaborators and allows the mathemati
 cal optimisation of the implants to be communicated effectively. The model
  and techniques we present could easily be translated to a range of medica
 l applications.\n	\n	En collaboration avec les séminaires de l'axe de pharma
 cométrie et pharmacothérapie de la Faculté de pharmacie\n
DTSTART:20190417T160000Z
DTEND:20190417T170000Z
LOCATION:Room S1-125\, CA\, Pavillon Jean-Coutu
SUMMARY:Adrianne Jenner (University of Sydney)
URL:https://www.mcgill.ca/mathstat/channels/event/adrianne-jenner-universit
 y-sydney-296270
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