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UID:20250626T215000EDT-0542VOmv4u@132.216.98.100
DTSTAMP:20250627T015000Z
DESCRIPTION:Information in cytokine dynamics : robotic mapping and machine 
 learning\n\nPaul Francois\, 51³Ô¹ÏÍø\n	Tuesday March 17\, 12-1pm\n
 	Montreal Neurological Institute\, deGrandpre Communications Centre\n\nAbst
 ract: An immune response is by essence a collective computation. Starting 
 with the initial activations of few T cells\, a complex dance of immune ac
 tors self-organize over long time scales. Understanding how and why immune
  cells communicate with one another to perform this response could be key 
 to a better understanding of personalized medecine and immunotherapy. In c
 ollaboration with Grégoire Altan-Bonnet (NIH)\, we have developped a pipel
 ine to study\, decode and model cytokine communications between T cells. I
  will show how simple machine learning allows to project the complex immun
 e response into a 2D latent space\, where immune parameters can be simple 
 deconvolved. Remarkably\, this suggests a simple model of collective commu
 nication and computation\, highly reproducible and universal. I will show 
 how our approach can be used to predict quality of unknown antigen\, and h
 ow it can potentially help to better estimate success of immunotherapy.\n
DTSTART:20200317T160000Z
DTEND:20200317T170000Z
LOCATION:deGrandpre Communications Centre\, Montreal Neurological Institute
 \, CA\, QC\, Montreal\, H3A 2B4\, 3801 rue University
SUMMARY:QLS Seminar Series - Paul Francois
URL:/qls/channels/event/qls-seminar-series-paul-franco
 is-320955
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