[BIC-announce] Seminar in Biomedical Engineering - Wednesday May 1st - 1 pm - Room 333

[Christophe Grova]

Dear all,

Our next Biomedical Engineering Dpt seminar  is this coming wednesday

Wednesday - May 1st ,  at 1 pm

Location: Room  333 Lyman Duff Building (Biomedical Engineering Dpt, 3775  University Street).

Speaker: Dr. Ahmad Haidar Ph.D., Post-doctoral Fellow. Institut de Recherches Cliniques de Montréal (IRCM)


Title: External Artificial Pancreas for Type 1 Diabetes: Modelling and Control

Abstract:
Type 1 diabetes is a chronic disease caused by an autoimmune destruction of pancreatic beta cells and is currently treated with life-long insulin-replacement therapy. Current treatment strategies do not achieve glycemic targets in most patients and glucose control remains problematic. An artificial pancreas is a long-awaited goal for diabetes and its development was recently triggered by advances in continuous glucose monitoring and insulin infusion pumps.



In this talk, a novel bi-hormonal artificial pancreas system that delivers insulin and glucagon subcutaneously based on real-time glucose sensor readings as guided by a mathematical dosing algorithm will be presented. The algorithm is based on fuzzy-supervised model predictive controller combined with extended Kalman filtering and a set of heuristic rules. The artificial pancreas system was compared with conventional pump therapy in 15 adult patients utilizing a 15hrs randomized crossover trial. The artificial pancreas system significantly improved glucose control and reduced the risk of hypoglycemia.


Clinical trials are an integral part of the development process but are time-consuming, resource demanding, and costly. Pre‑clinical testing in a computer-simulation environment accelerates development and facilitates optimization of dosing algorithms. In this talk, a novel fully probabilistic method to generate stochastic virtual patients for the assessment of control algorithms will be presented. The method adopts a non-linear physiologically-motivated time-varying model of glucose regulation and uses Bayesian inference and Markov chain Monte Carlo methods to estimate individual parameters. The method performs one‑to‑one mapping of individual experimental data into stochastic virtual patients in a process termed “stochastic e-cloning”. The talk will be concluded with an overview of future work in the field of artificial pancreas systems.




A list of upcoming seminars can be found at : http://www.mcgill.ca/bme/news/seminars

See you there


Christophe Grova


***************************
Christophe Grova, PhD
Assistant Professor
Biomedical Engineering Dpt
Neurology and Neurosurgery Dpt

Montreal Neurological Institute
Centre de Recherches Mathématiques

Biomedical Engineering Department - Room 304
McGill University
3775 University Street, Montreal, Quebec, Canada, H3A 2B4
email : christophe.grova at mcgill.ca
tel : (514) 398 2516
fax : (514) 398 7461

web:
http://www.mni.mcgill.ca/research/gotman/members/christophe.html
http://www.bmed.mcgill.ca/
***************************


-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.bic.mni.mcgill.ca/pipermail/bic-announce/attachments/20130430/f2522049/attachment.html>