Lab News

Professor Roger W.H Sargent Lecture

Francis J. Doyle III has been invited to deliver the twentieth annual Professor Roger W.H Sargent lecture, a lectureship series developed as a tribute to Roger Sargent’s excellence and his legacy in the field of Process Systems Engineering.
Thursday 5 December 2013 • 17.30
Lecture Theatre 1 (Room 250), Department of Chemical Engineering, ACE Extension Building,
South Kensington Campus, Imperial College London SW7 2AZ
For more details, see the attached flier.

Cutting Edge Biomedical Research in Your Own Backyard

This talk discusses the Artificial Pancreas System, focusing on the technical aspects of the system and the clinical research to date. It includes information on the challenges that such a complex system presents; the adaptive, non-linear control algorithm used to address these challenges and what the system can do to revolutionize diabetes care for patients with insulin-dependent diabetes.

Ultra-Rapid-Acting Inhaled Insulin Trial Funded By JDRF

JDRF, Sansum Diabetes Research Institute, and the College of Engineering at University of California, Santa Barbara (UCSB) are pleased to announce the first successful clinical research trial using the artificial pancreas in conjunction with ultra-rapid-acting inhaled insulin.
This represents a groundbreaking potential advancement in the treatment of type 1 diabetes (T1D). It establishes that the disease can be managed through a unified automated process that delivers precise amounts of insulin around the clock, based on real-time glucose measurements without the need for patient intervention, and is further enhanced and fine-tuned by the swift delivery of ultra-rapid-acting inhaled insulin during mealtimes. The artificial pancreas and inhaled insulin system work together to replicate the normal, healthy function of the human pancreas. Sansum Diabetes is the only site testing ultra-rapid-acting inhaled insulin in combination with the artificial pancreas. Read more …

UCSB Researchers Perform Pioneering Research on Type 2 Diabetes

A press release covering our new article in Plos One: Read More

Original Article:

Luni C, Marth JD, Doyle FJ III (2012) Computational Modeling of Glucose Transport in Pancreatic β-Cells Identifies Metabolic Thresholds and Therapeutic Targets in Diabetes. PLoS ONE 7(12): e53130. doi:10.1371/journal.pone.0053130

Glucose Monitoring through Meal Detection

A study looked at using continuous glucose monitoring to detect a meal. Eyal Dassau, PHD, of the University of California, Santa Barbara, said the ability to use a meal detection algorithm has safety and quality-of-life implications, particularly in children and adolescents, which is why the Juvenile Diabetes Research Foundation provided financial support for the study.

Adolescents often forget to bolus before eating, which results in very high blood glucose levels a couple of hours after a meal, which is something we’d like to avoid,” Dr. Dassau said.

The study he presented looked at whether glucose rate-of-change data from a continuous glucose monitor could detect a meal. Dr. Dassau said the results indicated that the use of meal detection algorithm will trigger a model for predictive control of insulin dosing during a meal before there has been a major elevation in blood glucose levels. More…

Smart Embedded Devices: Here They Come

A recent news article was published covering advances in the group on model predictive control (MPC)

Smart Embedded Devices: Here They Come 

Artificial Pancreas Researchers Win WYSS IEEE Translational Research Award

Researchers from the Doyle Group won the WYSS Institute – IEEE EMBS Award for Translational Research

Read Press Coverage:

Link 1   Link 2   Link 3

Publications

Clinically relevant hypoglycemia prediction metrics for event mitigation

R.A. Harvey, E. Dassau, H.C. Zisser, W. Bevier, D.E. Seborg, L. Jovanovič, F.J. Doyle III “Clinically relevant hypoglycemia prediction metrics for event mitigation,” Diabetes Technology & Therapeutics, vol. 14, no. 8, pp. 719-27, Aug 2012. [DOI]

Control-relevant models for glucose control using a priori patient characteristics

K. van Heusden, E. Dassau, H.C. Zisser, D.E. Seborg, F.J. Doyle III, “Control-relevant models for glucose control using a priori patient characteristics,” IEEE Transactions on Bio-medical Engineering, vol. 59, no. 7, pp. 1839-49, Jul 2012. [DOI]

Predicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitus

C. Zhao, E. Dassau, L. Jovanovič, H.C. Zisser, F.J. Doyle III, D.E. Seborg, “Predicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitus,” Journal of Diabetes Science and Technology, vol. 6, no. 3, pp. 617-33, May 2012. [PMID]

Robust multi-drug therapy design and application to insulin resistance in type 2 diabetes

C. Luni, F.J. Doyle III “Robust multi-drug therapy design and application to insulin resistance in type 2 diabetes,” International Journal of Robust and Nonlinear Control, vol.21, pp.1730–1741, October 2011. [DOI]

Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters

M.W. Percival, Y. Wang, B. Grosman, E. Dassau, H. Zisser, L. Jovanovič, F.J. Doyle III, “Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters,” Journal of Process Control, vol. 21, no. 3, pp. 391-404, Mar 2011. [DOI]

Closing the loop

E. Dassau, E. Atlas, M. Phillip, “Closing the loop,” International Journal of Clinical Practice. Supplement, no. 170, pp. 20-5, Feb 2011. [DOI]

Confidence from uncertainty – A multi-target drug screening method from robust control theory

C. Luni, J.E. Shoemaker, K.R. Sanft, L.R. Petzold, F.J. Doyle III, “Confidence from uncertainty – A multi-target drug screening method from robust control theory,” BMC Systems Biology, vol. 4, no. 1, pp. 161, November 2010. [DOI]

Automatic bolus and adaptive basal algorithm for the artificial pancreatic β-cell

Y. Wang, E. Dassau, H. Zisser, L. Jovanovič, F.J. Doyle III, “Automatic bolus and adaptive basal algorithm for the artificial pancreatic β-cell,” Diabetes Technology & Therapeutics, vol. 12, no. 11, pp. 879-87, Nov 2010. [DOI]

Quest for the artificial pancreas: combining technology with treatment

R.A. Harvey, Y. Wang, B. Grosman, M.W. Percival, W. Bevier, D.A. Finan, H. Zisser, D.E. Seborg, L. Jovanovic, F.J. Doyle III, E. Dassau “Quest for the artificial pancreas: combining technology with treatment,” IEEE Engineering in Medicine and Biology Magazine : The Quarterly Magazine of the Engineering in Medicine & Biology Society, vol. 29, no. 2, pp. 53-62, July 2010. [DOI]

Zone-Model Predictive Control: A Strategy to Minimize Hyper- and Hypo-glycemic Events

B. Grosman, E. Dassau, H. Zisser, L. Jovanovic, F.J. Doyle III, “Zone-Model Predictive Control: A Strategy to Minimize Hyper- and Hypo-glycemic Events,” J Diabetes Sci Technol, vol. 4, no. 4, pp. 961–975, July 2010. [DOI]