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UID:20250725T073438EDT-9501bpZ0fD@132.216.98.100
DTSTAMP:20250725T113438Z
DESCRIPTION:Informal Systems Seminar (ISS) Centre for Intelligent Machines 
 (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decisions (GERAD)
 \n\nSpeaker: Ahmad Haidar\n\n\n	Zoom Link\n	Meeting ID: 845 1388 1004       
 \n	Passcode: VISS\n	\n	** Note that this is a hybrid event.\n	** The seminar w
 ill be at McConnell 437 at 51³Ô¹ÏÍø. Systems and Control members 
 are strongly encouraged to attend the event in person at McGill.**\n	\n	Abst
 ract: We applied a system identification method to automatically adjust in
 sulin doses for people with type 1 diabetes who are treated with multiple 
 daily insulin injections.  We posed a dynamical model to represent the rel
 ationship between insulin therapy parameters and carbohydrate intake (inpu
 ts) and blood glucose levels (outputs). A generalized likelihood ratio app
 roach was used to pre-process the glucose data to identify hypoglycemia tr
 eatments and delayed meal insulin boluses. We then used Bayesian estimatio
 n and MCMC to estimate insulin therapy parameters from daily data\, and us
 ed these estimated parameters\, their variances\, and the goodness-of-fit 
 to provide weekly recommendation of insulin doses. This algorithm\, and an
  accompanying mobile app\, were compared to conventional therapy in a rand
 omized controlled trial in 84 patients over three months\, assessing their
  efficacy and safety. The algorithm's recommendations were also compared t
 o recommendations of 13 endocrinologists who retrospectively interpreted d
 ata of 10 patients over four weeks\, assessing its non-inferiority to the 
 group of endocrinologists.\n	\n	Bio: Ahmad Haidar is an Associate Professor 
 in the Department of Biomedical Engineering and the Department of Medicine
  at 51³Ô¹ÏÍø. His research focuses on the development and clinica
 l testing of dosing algorithms for insulin pens and pumps in type 1 diabet
 es. In his efforts to translate his research findings to clinical care\, h
 e has worked with Eli Lilly\, BigFoot (now Abbott)\, AgaMatrix\, and Adoci
 a.\n
DTSTART:20240412T140000Z
DTEND:20240412T140000Z
LOCATION:Zames Seminar Room\, MC 437\, McConnell Engineering Building\, CA\
 , QC\, Montreal\, H3A 0E9\, 3480 rue University
SUMMARY:Using Bayesian Estimation to Provide Personalized Insulin Dosing fo
 r Type 1 Diabetes: Algorithm Development and Clinical Testing
URL:/cim/channels/event/using-bayesian-estimation-prov
 ide-personalized-insulin-dosing-type-1-diabetes-algorithm-development-3567
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