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UID:20250805T051744EDT-1026a3ePwh@132.216.98.100
DTSTAMP:20250805T091744Z
DESCRIPTION:Inference and dynamics using clinical data for mathematical phy
 siology and biomedicine\n\nDavid Albers\, University of Colorado\n	Tuesday 
 February 9\, 12-1pm\n	Zoom Link: https:/mcgill.zoom.us/j/91589192037\n\nAbs
 tract: The talk will focus on dynamics and inference problems in biomedici
 ne using real data collected in clinical settings. Inference complexities\
 , successes and failures\, primarily in the context of applying data assim
 ilation to infer ordinary differential equations\, will be discussed. In p
 articular\, the talk will focus on inference given severe data sparsity\, 
 how the dynamics-inference mismatch problem\, how rank-one dynamics induce
  important and surprising uncertainty (delay-induced uncertainty)\, and so
 me related open and solved problems. The talk will also focus on realism r
 elated to the modeling and data measurement context\, including modeling t
 hat does not ignore important complexities of the clinical environment\, h
 ow to get at important problems and realities\, and deployment of models f
 or generating actionable knowledge. The particular areas of focus will be 
 the glucose-insulin system and pulmonary or lung mechanics.\n
DTSTART:20210209T170000Z
DTEND:20210209T180000Z
LOCATION:CA\, QC
SUMMARY:QLS Seminar Series - David Albers
URL:/qls/channels/event/qls-seminar-series-david-alber
 s-328154
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