Enhanced 911/global position system wizard: a telemedicine application for the prevention of severe hypoglycemia–monitor, alert, and locate

E. Dassau, L. Jovanovic, F.J. Doyle III, H.C. Zisser, “Enhanced 911/global position system wizard: a telemedicine application for the prevention of severe hypoglycemia–monitor, alert, and locate,” Journal of Diabetes Science and Technology, vol. 3, no. 6, pp. 1501-6, Nov 2009. [PMID]

A Novel Adaptive Basal Therapy Based on the Value and Rate of Change of Blood Glucose

Y. Wang, M.W. Percival, E. Dassau, H.C. Zisser, L. Jovanovic, F.J. Doyle III, “A Novel Adaptive Basal Therapy Based on the Value and Rate of Change of Blood Glucose,” J Diabetes Sci Technol, vol. 3, pp. 1099–1108, September 2009.[DOI]

A model of the cell-autonomous mammalian circadian clock

H. P. Mirsky, A. C. Liu, D. K. Welsh, S. A. Kay, and F. J. Doyle III, “A model of the cell-autonomous mammalian circadian clock,” Proc Natl Acad Sci USA, vol. 106, pp. 11107–11112, June 2009.[DOI]

Safety constraints in an artificial pancreatic beta cell: an implementation of model predictive control with insulin on board

C. Ellingsen, E. Dassau, H. Zisser, B. Grosman, M.W. Percival, L. Jovanovic, F.J. Doyle III, “Safety constraints in an artificial pancreatic beta cell: an implementation of model predictive control with insulin on board,” Journal of Diabetes Science and Technology, vol. 3, no. 3, pp. 536-44, May 2009. [PMID]

Practical approach to design and implementation of a control algorithm in an artificial pancreatic β-cell

M. W. Percival, E. Dassau, H. Zisser, L. Jovanovic, and F. J. Doyle III, “Practical approach to design and implementation of a control algorithm in an artificial pancreatic β-cell,” Ind Eng Chem Res, vol. 48, pp. 6059–6067, April 2009.[DOI]

In silico evaluation platform for artificial pancreatic beta-cell development–a dynamic simulator for closed-loop control with hardware-in-the-loop

E. Dassau, C.C. Palerm, H. Zisser, B.A. Buckingham, L. Jovanovic, F.J. Doyle III, “In silico evaluation platform for artificial pancreatic beta-cell development–a dynamic simulator for closed-loop control with hardware-in-the-loop,” Diabetes Technology & Therapeutics, vol. 11, no. 3, pp. 187-94, Mar 2009. [DOI]

In silico preclinical trials: methodology and engineering guide to closed-loop control in type 1 diabetes mellitus

S.D. Patek, B.W. Bequette, M. Breton, B.A. Buckingham, E. Dassau, F.J. Doyle III, J. Lum, L. Magni, H. Zisser, “In silico preclinical trials: methodology and engineering guide to closed-loop control in type 1 diabetes mellitus,” Journal of Diabetes Science and Technology, vol. 3, no. 2, pp. 269-82, Mar 2009. [PMID]

Identification of models for control of wet granulation

C. F. W. Sanders, M. J. Hounslow, and F. J. Doyle III, “Identification of models for control of wet granulation,” Powder Technology, vol. 188, pp. 255–263, January 2009.[DOI]

Coordinated basal-bolus infusion for tighter postprandial glucose control in insulin pump therapy

J. Bondia, E. Dassau, H. Zisser, R. Calm, J. Vehí, L. Jovanovič, F.J. Doyle III “Coordinated basal-bolus infusion for tighter postprandial glucose control in insulin pump therapy,” Journal of Diabetes Science and Technology, vol. 3, no. 1, pp. 89-97, Jan 2009. [PMID]

Experimental studies on distributions of granule size, binder content and porosity in batch drum granulation: Inferences on process modelling requirements and process sensitivities

R. Ramachandran, J. M. H. Poon, C. F. W. Sanders, T. Glaser, C. D. Immanuel, F. J. Doyle III, J. D. Litster, F. Stepanek, F.-Y. Wang, and I. T. Cameron, “Experimental studies on distributions of granule size, binder content and porosity in batch drum granulation: Inferences on process modelling requirements and process sensitivities,” Powder Technology, vol. 188, pp. 89–101, December 2008.[DOI]