BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250724T222526EDT-1026lUlhS3@132.216.98.100 DTSTAMP:20250725T022526Z 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 68 END:VEVENT END:VCALENDAR