Logo: University of Southern California

Events Calendar


  • Distinguished Lecture Series

    Thu, Apr 21, 2011 @ 12:50 PM - 02:00 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Professor Francis J. Doyle III, Chemical Engineering Dept University of California, Santa Barbara Santa Barbara, CA

    Talk Title: The Role of Process Systems Engineering in the Quest for the Artificial Pancreas

    Series: Distinguished Lectures Series

    Abstract: Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease affecting approximately 3 million individuals in the US, with associated annual healthcare costs estimated to be $15 billion. Current treatment requires either multiple daily insulin injections or continuous subcutaneous (SC) insulin infusion (CSII) delivered via an insulin infusion pump. Both treatment modes necessitate frequent blood glucose measurements to determine the daily insulin requirements for maintaining near-normal blood glucose levels. More than 30 years ago, the idea of an artificial endocrine pancreas for patients with type 1 diabetes mellitus (T1DM) was envisioned. The closed-loop concept consisted of an insulin syringe, a blood glucose analyzer, and a transmitter. In the ensuing years, a number of theoretical research studies were performed with numerical simulations to demonstrate the relevance of advanced control design to the artificial pancreas, with delivery algorithms ranging from simple PID, to H-infinity, to model predictive control. With the advent of continuous glucose sensing, which reports interstitial glucose concentrations approximately every minute, and the development of hardware and algorithms to communicate with and control insulin pumps, the vision of closed-loop control of blood glucose is approaching a reality. In the last 8 years, our research group has been working with medical doctors on clinical investigations of control algorithms for the artificial pancreas. In this talk, I will outline the difficulties inherent in controlling physiological variables, the challenges with regulatory approval of such devices, and will describe a number of algorithms we have tested in clinical experiments for feedback control of the artificial pancreas, based on model predictive control.

    Host: Professor Qin

    More Info: http://chems.usc.edu/academics/10-11/d-04-21-11.htm

    Location: James H. Zumberge Hall Of Science (ZHS) - 159

    Audiences: Everyone Is Invited

    Contact: Petra Pearce

    Event Link: http://chems.usc.edu/academics/10-11/d-04-21-11.htm

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File

Return to Calendar