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UID:20250626T082423EDT-9784kUOFKU@132.216.98.100
DTSTAMP:20250626T122423Z
DESCRIPTION:Challenges and lessons learned in developing agent-based models
  applied to vocal fold injury and repair\n\nNicole Li-Jensen\n\nSchool of 
 Communication Sciences and Disorders\, McGill\n\n \n\nOur research program
  targets to advance personalized medicine in voice care with an emphasis o
 n the use of computational technologies. Voice disorders are the most comm
 on communication disorder across the lifespan\, affecting almost one-third
  of the general population in North America. Afflicted individuals may suf
 fer from a loss of voice or hoarseness to meet their communication needs. 
 Voice disorders create a major occupational hazard in many workers such as
  salespeople\, teachers\, performing artists\, attorneys and sport coaches
  owing to high vocal demands of their jobs. The estimated lifetime prevale
 nce of voice disorders is as high as 80% in occupational voice users. In C
 anada the direct health cost of voice disorders is nearly $1.75 billion an
 nually.\n	At present\, the biological mechanism underlying the formation of
  vocal lesions remains to be elucidated. Tissue injury and repair is a com
 plex process that involves multiple cells types and molecular signals. Our
  group has developed a 3D agent-based models (ABM) at physiological scale 
 to numerically simulate the cellular and molecular response to vocal injur
 y. Significant progress has made to improve the model’s computational spee
 d and visualization feature using our hybrid CPU-GPU computing platform. G
 aps however still exist between the model and the reality. In this talk\, 
 I will present what challenges we are facing and what lessons we have lear
 nt in biological computing.\n
DTSTART:20180329T160000Z
DTEND:20180329T170000Z
LOCATION:908\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1Y6\, 3
 655 promenade Sir William Osler
SUMMARY:QLS/CAMBAM Seminar - Dr. Nicole Li-Jensen
URL:/qls/channels/event/qlscambam-seminar-dr-nicole-li
 -jensen-286943
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