Dr. Eyal Dassau
Director, Biomedical Systems Engineering Research Group
Senior Research Fellow in Biomedical Engineering in the Harvard John A. Paulson School of Engineering and Applied Sciences
Adjunct Faculty, Joslin Diabetes Center, Boston, MA
Adjunct Senior Investigator at Sansum Diabetes Research Institute (SDRI)
Education
- BSc: 1999, ChE, Technion Israel Institute of Technology
- MSc: 2002, ChE, Technion Israel Institute of Technology
- PhD: 2006, ChE, Technion Israel Institute of Technology
Honors
- 2008 Otis William Fellowship Grant
- 2012 Champions of Health Care Award
- 2012 Wyss IEEE Translational Research Finalist Award
- 2012 Transactions on Biomedical Engineering Highlight Paper Finalist
- 2017 Recipient of the Theodore von Kármán Fellowship, RWTH Aachen University
- 2017 Harvard’s Physical Sciences and Engineering Accelerator Award
- 2017 Recognition Award as Diabetes Care Top Reviewer for 2016
Research
- Biomedical design and control: the application of process system engineering principles to design and control of automated insulin delivery system (artificial pancreatic β-cell) to improve glycemic control in type 1 diabetes mellitus patients
- Process and product design with emphasis on medical and biomedical applications
- Systems theory, modeling, simulation, optimization and control to medical, biological, and other complex systems
Contact Information
Harvard John A. Paulson School of Engineering and Applied Sciences
29 Oxford St., Rm. 317
Cambridge, MA 02138
Tel. +1 (617) 496-0358
Fax +1 (617) 496-5264
Email: dassau (at) seas (dot) harvard (dot) edu
Selected Publications
For a full and up-to-date list of publications, please see: Dr. Eyal Dassau’s PubMed Profile
C. M. Mulla, S. Zavitsanou, A. J. Laguna Sanz, D. Pober, L. Richardson, P. Walcott, I. Arora, B. Newswanger, M. J. Cummins, S. J. Prestrelski, F. J. Doyle III, E. Dassau, M. E. Patti. The Journal of Clinical Endocrinology & Metabolism, 2019.
Lukas Ortman, Dawei Shi, Eyal Dassau, Francis J. Doyle III, Berno J. E. Misgeld, and Steffen Leonhardt (2019). American Control Conference (ACC).
Marzia Cescon, Sunil Deshpande, Francis J. Doyle III, and Eyal Dassau (2019). American Control Conference (ACC).
A. Chakrabarty, S. Zavitsanou, T. Sowrirajan, F. J. Doyle III, and E. Dassau. “Getting IoT-ready: The face of next generation artificial pancreas systems.” in The Artificial Pancreas: Current Situation and Future Directions, R. S. Sanchez-Pena and D. R. Chernavvsky, Editors, Elsevier, 2019.
A. Chakrabarty, J. M. Gregory, L. M. Moore, P. E. Williams, B. Farmer, A. D. Cherrington, P. Lord, B. Shelton, D. Cohen, H. C. Zisser, F. J. Doyle III, & E. Dassau. Journal of Process Control. 2019.
D Shi, E Dassau, FJ Doyle – 2018 IEEE Conference on Decision and Control (CDC), 2018.
S. Deshpande, J. E. Pinsker, S. Zavitsanou, D. Shi, R. Tompot, M. M. Church, C. Andre, F. J. Doyle III, E. Dassau. Diabetes Technology & Therapeutics. 2018.
R. K. Reddy, R. Pooni, D. P. Zaharieva, B. Senf, J. E. Youssef, E. Dassau, F. J. Doyle III, M. A. Clements, M. R. Rickels, S. R. Patton, J. R. Castle, M. C. Riddell, P. G. Jacobs. JMIR Mhealth Uhealth. 2018.
D Shi, E Dassau, and FJ Doyle III. Bioengineering and Translational Medicine. 2018.
D Shi, E Dassau, FJ Doyle – 2018 Annual American Control Conference (ACC), 2018.
J. E. Pinkser, A. J. Laguna Sanz, J. B. Lee, M. M. Church, C. Andre, L. E. Lindsey, F. J. Doyle III, and E. Dassau. Diabetes Technology and Therapeutics, 20(7), 2018.
Ravi Gondhalekar, Eyal Dassau, Francis J. Doyle III. Automatica. 2018.
Basak Ozaslan, Stephen D. Patek, Jesse H. Grabman, Jaclyn A. Shepard, Eyal Dassau, Marc D. Breton, Yogish C. Kudva, Sue A. Brown, Ananda Basu, Jordan E. Pinsker, Francis J. Doyle, III, Linda Gonder-Frederick. Journal of Diabetes Science and Technology. 2018.
Lauren M. Huyett, Eyal Dassau, Howard C. Zisser, and Francis J. Doyle, III. IEEE Control Systems Magazine. February 2018: 30-46.
Daniel P. Howsmon, Nihat Baysal, Bruce A. Buckingham, Gregory P. Forlenza, Trang T. Ly, David M. Maahs, Tatiana Marcal, Lindsey Towers, Eric Mauritzen, Sunil Deshpande, Lauren M. Huyett, Jordan E. Pinsker, Ravi Gondhalekar, Francis J. Doyle, III, Eyal Dassau, Juergen Hahn, and B. Wayne Bequette. Journal of Diabetes Science and Technology. 2018.
Laguna Sanz Alejandro J., Mulla Christopher M., Fowler Kristen M., Cloutier Emilie, Goldfine Allison B., Newswanger Brett, Cummins Martin, Deshpande Sunil, Prestrelski Steven J., Strange Poul, Zisser Howard, Doyle Francis J. III, Dassau Eyal, and Patti Mary-Elizabeth. Diabetes Technology & Therapeutics. February 2018, 20(2): 127-139.
Eyal Dassau, Jordan E. Pinsker, Yogish C. Kudva, Sue A. Brown, Ravi Gondhalekar, Chiara Dalla Man, Steve Patek, Michele Schiavon, Vikash Dadlani, Isuru Dasanayake, Mei Mei Church, Rickey E. Carter, Wendy C. Bevier, Lauren M. Huyett, Jonathan Hughes, Stacey Anderson, Dayu Lv, Elaine Schertz, Emma Emory, Shelly K. McCrady-Spitzer, Tyler Jean, Paige K. Bradley, Ling […]
Stamatina Zavitsanou, Joon Bok Lee, Jordan E. Pinsker, Mei Mei Church, Francis J. Doyle III, Eyal Dassau, A Personalized Week-to-Week Updating Algorithm to Improve Continuous Glucose Monitoring Performance, Journal of Diabetes Science and Technology, Accepted
A. Chakrabarty, S. Zavitsanou, F. J. Doyle III, E. Dassau, “Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems.” Preprint available, IEEE Trans. Biomedical Engineering, May 2017.
S. Zavitsanou, A. Chakrabarty, E. Dassau, and F.J. Doyle III. “Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas.” Processes 4(4), 35, 2016. doi:10.3390/pr4040035
R. Gondhalekar, E. Dassau, and F.J. Doyle III. “Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes.” Automatica 71: 237-246, 2016. doi:10.1016/j.automatica.2016.04.015
D.M. Maahs, B.A. Buckingham, J.R. Castle, A. Cinar, E.R. Damiano, E. Dassau, J.H. DeVries, F.J. Doyle III, S.C. Griffen, A. Haidar, L. Heinemann, R. Hovorka, T.W. Jones, C. Kollman, B. Kovatchev, B.L. Levy, R. Nimri, D.N. O’Neal, M. Philip, E. Renard, S.J. Russell, S.A. Weinzimer, H. Zisser, J.W. Lum. Diabetes Care. 39(7):1175-9, 2016. doi: 10.2337/dc15-2716. […]
J.E. Pinsker, J.B. Lee, E. Dassau, D.E. Seborg, P.K. Bradley, R. Gondhalekar, W.C. Bevier, L. Huyett, H.C. Zisser, F.J. Doyle III. Diabetes Care, 39(7): 1135-42, 2016. doi: 10.2337/dc15-2344.
E. Dassau, S.A. Brown, A. Basu, J.E. Pinsker, Y.C. Kudva, R. Gondhalekar, S. Patek, D. Lv, M. Schiavon, J.B. Lee, C.D. Man, L. Hinshaw, K. Castorino, A. Mallad, V. Dadlani, S.K. McCrady-Spitzer, M. McElwee-Malloy, C.A. Wakeman, W.C. Bevier, P.K. Bradley, B. Kovatchev, C. Cobelli, H.C. Zisser, F.J. Doyle III, “Adjustment of open-loop settings to improve […]
F.J. Doyle III, L. M. Huyett, J. B. Lee, H. C. Zisser, E. Dassau , “Closed- Loop Artificial Pancreas Systems: Engineering the Algorithms,” Diabetes Care, May 2014. [DOI]
A. Srinivasan, J.B. Lee, E. Dassau, F.J. Doyle III, “Novel insulin delivery profiles for mixed meals for sensor-augmented pump and closed-loop artificial pancreas therapy for type 1 diabetes mellitus,” Journal of Diabetes Science and Technology, vol. 8, no. 5, pp. 957-68,Sep 2014. [DOI]
J. B. Lee, E. Dassau, D. Seborg, F.J. Doyle III, “Model-Based Personalization Scheme of an Artificial Pancreas for Type 1 Diabetes Applications,” Proceedings of the American Controls Conference 2013.
E. Dassau, H. Zisser, R.A. Harvey, M.W. Percival, B. Grosman, W. Bevier, E. Atlas, S. Miller, R. Nimri, L. Jovanovic, F.J. Doyle III “Clinical evaluation of a personalized artificial pancreas,” Diabetes Care, vol. 36, no. 4, pp. 801-9, Apr 2013. [DOI]
J.J. Lee, E. Dassau, H. Zisser, R.A. Harvey, L. Jovanovič, F.J. Doyle III “In silico evaluation of an artificial pancreas combining exogenous ultrafast-acting technosphere insulin with zone model predictive control,” Journal of Diabetes Science and Technology, vol. 7, no. 1, pp. 215-26, January 2013. [PMID]
R.A. Harvey, E. Dassau, H. Zisser, D.E. Seborg, L. Jovanovič, F.J. Doyle III “Design of the health monitoring system for the artificial pancreas: low glucose prediction module,” Journal of Diabetes Science and Technology, vol. 6, no. 6, pp. 1345-54, November 2012. [PMID]
M. Breton, A. Farret, D. Bruttomesso, S. Anderson, L. Magni, S. Patek, C. Dalla Man, J. Place, S. Demartini, S. Del Favero, C. Toffanin, C. Hughes-Karvetski, E. Dassau, H. Zisser, F.J. Doyle III, G. De Nicolao, A. Avogaro, C. Cobelli, E. Renard, B. Kovatchev, International Artificial Pancreas Study Group, “Fully integrated artificial pancreas in type […]
C. Cobelli, E. Renard, B.P. Kovatchev, P. Keith-Hynes, N. Ben Brahim, J. Place, S. Del Favero, M. Breton, A. Farret, D. Bruttomesso, E. Dassau, H. Zisser, F.J. Doyle III, S.D. Patek, A. Avogaro, “Pilot studies of wearable outpatient artificial pancreas in type 1 diabetes,” Diabetes Care, vol. 35, no. 9, pp. e65-7, Sep 2012. [DOI]
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]
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]
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]
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]
E. Dassau, E. Atlas, M. Phillip, “Closing the loop,” International Journal of Clinical Practice. Supplement, no. 170, pp. 20-5, Feb 2011. [DOI]
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]
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, […]
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]
F. Campos-Cornejo, D.U. Campos-Delgado, D. Espinoza-Trejo, H. Zisser, L. Jovanovic, F.J. Doyle III, E. Dassau, “An advisory protocol for rapid- and slow-acting insulin therapy based on a run-to-run methodology,” Diabetes Technology & Therapeutics, vol. 12, no. 7, pp. 555-65, Jul 2010. [DOI]
B. Grosman, E. Dassau, H.C. Zisser, L. Jovanovic, F.J. Doyle III, “Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events,” Journal of Diabetes Science and Technology, vol. 4, no. 4, pp. 961-75, Jul 2010. [PMID]
R. Mauseth, Y. Wang, E. Dassau, R. Kircher Jr, D. Matheson, H. Zisser, L. Jovanovic, F.J. Doyle III, “Proposed clinical application for tuning fuzzy logic controller of artificial pancreas utilizing a personalization factor,” Journal of Diabetes Science and Technology, vol. 4, no. 4, pp. 913-22, Jul 2010. [PMID]
E. Dassau, F. Cameron, H. Lee, B.W. Bequette, H. Zisser, L. Jovanovic, H.P. Chase, D.M. Wilson, B.A. Buckingham, F.J. Doyle III, “Real-Time Hypoglycemia Prediction Suite Using Continuous Glucose Monitoring: A safety net for the artificial pancreas,” Diabetes Care, vol. 33, no. 6, pp. 1013–1017, June 2010. [DOI]
Y. Wang, H. Zisser, E. Dassau, L. Jovanovic, F.J. Doyle III, “Model Predictive Control with Learning-Type Set-point:Application to Artificial Pancreatic β-Cell ,” AIChE Journal, vol. 56, no. 6, pp. 1510–1518, June 2010.[DOI]
B.A. Buckingham, H.P. Chase, E. Dassau, E. Corby, P. Clinton, V. Gage, K. Caswell, J. Wilkinson, F. Cameron, H. Lee, B.W. Bequette, F.J. Doyle III, “Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension,” Diabetes Care, vol. 33, no. 5, pp. 1013–1017, May 2010.[DOI]
Y. Wang, E. Dassau, F.J. Doyle III, “Closed-Loop Control of Artificial Pancreatic β-Cell in Type 1 Diabetes Mellitus Using Model Predictive Iterative Learning Control,” Biomedical Engineering, IEEE Transactions on, vol. 57, no. 2, pp. 211–219, February 2010.[DOI]
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]
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]
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]
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]
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]
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]
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]
H. Zisser, L. Robinson, W. Bevier, E. Dassau, C. Ellingsen, F.J. Doyle III, L. Jovanovic, “Bolus calculator: a review of four “smart” insulin pumps,” Diabetes Technology & Therapeutics, vol. 10, no. 6, pp. 441-4, Dec 2008. [DOI]
E. Dassau, H. Zisser, C. C Palerm, B. A Buckingham, L. Jovanovic, F. J Doyle III, “Modular artificial beta-cell system: a prototype for clinical research,” Journal of Diabetes Science and Technology, vol. 2, no. 5, pp. 863-72, Sep 2008. [PMID]
E. Dassau, B. W. Bequette, B. A. Buckingham, and F. J. Doyle III, “Detection of a Meal Using Continuous Glucose Monitoring: Implications for an artificial β-cell,” Diabetes Care, vol. 31, pp. 295–300, February 2008.[DOI]
News
- A Randomized, Placebo-Controlled Double-Blind Trial of a Closed-Loop Glucagon System for Post-Bariatric Hypoglycemia
C. M. Mulla, S. Zavitsanou, A. J. Laguna Sanz, D. Pober, L. Richardson, P. Walcott, I. Arora, B. Newswanger, M. J. Cummins, S. J. Prestrelski, F. J. Doyle III, E. Dassau, M. E. Patti. The Journal of Clinical Endocrinology & Metabolism, 2019. - Automated Insulin Delivery for Type 1 Diabetes Mellitus Patients using Gaussian Process-based Model Predictive Control
Lukas Ortman, Dawei Shi, Eyal Dassau, Francis J. Doyle III, Berno J. E. Misgeld, and Steffen Leonhardt (2019). American Control Conference (ACC). - Iterative Learning Control with Sparse Measurements for Long-Acting Insulin Injections in People with Type 1 Diabetes
Marzia Cescon, Sunil Deshpande, Francis J. Doyle III, and Eyal Dassau (2019). American Control Conference (ACC). - Getting IoT-ready: The face of next generation artificial pancreas systems
A. Chakrabarty, S. Zavitsanou, T. Sowrirajan, F. J. Doyle III, and E. Dassau. “Getting IoT-ready: The face of next generation artificial pancreas systems.” in The Artificial Pancreas: Current Situation and Future Directions, R. S. Sanchez-Pena and D. R. Chernavvsky, Editors, Elsevier, 2019. - A new animal model of insulin-glucose dynamics in the intraperitoneal space enhances closed-loop control performance
A. Chakrabarty, J. M. Gregory, L. M. Moore, P. E. Williams, B. Farmer, A. D. Cherrington, P. Lord, B. Shelton, D. Cohen, H. C. Zisser, F. J. Doyle III, & E. Dassau. Journal of Process Control. 2019. - NIH funds closed loop in pregnancy studies at Harvard, Mt. Sinai, Mayo Clinic, and Sansum; three-year, $2.3 million grant
The NIH has awarded our group an R01 grant for the study of closed loop control of diabetes in pregnant women. The NIH has awarded our group an R01 grant for the study of closed loop control of diabetes in pregnant women - A Multivariate Bayesian Optimization Framework for Long-Term Controller Adaptation in Artificial Pancreas
D Shi, E Dassau, FJ Doyle – 2018 IEEE Conference on Decision and Control (CDC), 2018. - Design and Clinical Evaluation of the Interoperable Artificial Pancreas System (iAPS): Interoperable Components with Modular Design for Progressive Artificial Pancreas Research and Developement
S. Deshpande, J. E. Pinsker, S. Zavitsanou, D. Shi, R. Tompot, M. M. Church, C. Andre, F. J. Doyle III, E. Dassau. Diabetes Technology & Therapeutics. 2018. - Accuracy of Wrist-Worn Activity Monitors During Common Daily Physical Activities and Types of Structured Exercise: Evaluation Study
R. K. Reddy, R. Pooni, D. P. Zaharieva, B. Senf, J. E. Youssef, E. Dassau, F. J. Doyle III, M. A. Clements, M. R. Rickels, S. R. Patton, J. R. Castle, M. C. Riddell, P. G. Jacobs. JMIR Mhealth Uhealth. 2018. - Multivariate Learning Framework for Long‐Term Adaptation in the Artificial Pancreas
D Shi, E Dassau, and FJ Doyle III. Bioengineering and Translational Medicine. 2018. - Zone Model Predictive Control with Glucose- and Velocity- Dependent Control Penalty Adaptation for an Artificial Pancreas
D Shi, E Dassau, FJ Doyle – 2018 Annual American Control Conference (ACC), 2018. - Evaluation of an Artificial Pancreas with Enhanced Model Predictive Control and a Glucose Prediction Trust Index with Unannounced Exercise
J. E. Pinkser, A. J. Laguna Sanz, J. B. Lee, M. M. Church, C. Andre, L. E. Lindsey, F. J. Doyle III, and E. Dassau. Diabetes Technology and Therapeutics, 20(7), 2018. - Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance
Ravi Gondhalekar, Eyal Dassau, Francis J. Doyle III. Automatica. 2018. - Body Mass Index Effect on Differing Responses to Psychological Stress in Blood Glucose Dynamics in Patients With Type 1 Diabetes
Basak Ozaslan, Stephen D. Patek, Jesse H. Grabman, Jaclyn A. Shepard, Eyal Dassau, Marc D. Breton, Yogish C. Kudva, Sue A. Brown, Ananda Basu, Jordan E. Pinsker, Francis J. Doyle, III, Linda Gonder-Frederick. Journal of Diabetes Science and Technology. 2018. - Glucose Sensor Dynamics and the Artificial Pancreas: The Impact of Lag on Sensor Measurement and Controller Performance
Lauren M. Huyett, Eyal Dassau, Howard C. Zisser, and Francis J. Doyle, III. IEEE Control Systems Magazine. February 2018: 30-46. - Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas
Daniel P. Howsmon, Nihat Baysal, Bruce A. Buckingham, Gregory P. Forlenza, Trang T. Ly, David M. Maahs, Tatiana Marcal, Lindsey Towers, Eric Mauritzen, Sunil Deshpande, Lauren M. Huyett, Jordan E. Pinsker, Ravi Gondhalekar, Francis J. Doyle, III, Eyal Dassau, Juergen Hahn, and B. Wayne Bequette. Journal of Diabetes Science and Technology. 2018. - Design and Clinical Evaluation of a Novel Low-Glucose Prediction Algorithm with Mini-Dose Stable Glucagon Delivery in Post-Bariatric Hypoglycemia
Laguna Sanz Alejandro J., Mulla Christopher M., Fowler Kristen M., Cloutier Emilie, Goldfine Allison B., Newswanger Brett, Cummins Martin, Deshpande Sunil, Prestrelski Steven J., Strange Poul, Zisser Howard, Doyle Francis J. III, Dassau Eyal, and Patti Mary-Elizabeth. Diabetes Technology & Therapeutics. February 2018, 20(2): 127-139. - 12-Week 24/7 Ambulatory Artificial Pancreas With Weekly Adaptation of Insulin Delivery Settings: Effect on Hemoglobin A1c and Hypoglycemia
Eyal Dassau, Jordan E. Pinsker, Yogish C. Kudva, Sue A. Brown, Ravi Gondhalekar, Chiara Dalla Man, Steve Patek, Michele Schiavon, Vikash Dadlani, Isuru Dasanayake, Mei Mei Church, Rickey E. Carter, Wendy C. Bevier, Lauren M. Huyett, Jonathan Hughes, Stacey Anderson, Dayu Lv, Elaine Schertz, Emma Emory, Shelly K. McCrady-Spitzer, Tyler Jean, Paige K. Bradley, Ling […] - A Personalized Week-to-Week Updating Algorithm to Improve Continuous Glucose Monitoring Performance
Stamatina Zavitsanou, Joon Bok Lee, Jordan E. Pinsker, Mei Mei Church, Francis J. Doyle III, Eyal Dassau, A Personalized Week-to-Week Updating Algorithm to Improve Continuous Glucose Monitoring Performance, Journal of Diabetes Science and Technology, Accepted - Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems
A. Chakrabarty, S. Zavitsanou, F. J. Doyle III, E. Dassau, “Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems.” Preprint available, IEEE Trans. Biomedical Engineering, May 2017. - Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas
S. Zavitsanou, A. Chakrabarty, E. Dassau, and F.J. Doyle III. “Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas.” Processes 4(4), 35, 2016. doi:10.3390/pr4040035 - Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes.
R. Gondhalekar, E. Dassau, and F.J. Doyle III. “Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes.” Automatica 71: 237-246, 2016. doi:10.1016/j.automatica.2016.04.015 - Outcome Measures for Artificial Pancreas Clinical Trials: A Consensus Report.
D.M. Maahs, B.A. Buckingham, J.R. Castle, A. Cinar, E.R. Damiano, E. Dassau, J.H. DeVries, F.J. Doyle III, S.C. Griffen, A. Haidar, L. Heinemann, R. Hovorka, T.W. Jones, C. Kollman, B. Kovatchev, B.L. Levy, R. Nimri, D.N. O’Neal, M. Philip, E. Renard, S.J. Russell, S.A. Weinzimer, H. Zisser, J.W. Lum. Diabetes Care. 39(7):1175-9, 2016. doi: 10.2337/dc15-2716. […] - Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas.
J.E. Pinsker, J.B. Lee, E. Dassau, D.E. Seborg, P.K. Bradley, R. Gondhalekar, W.C. Bevier, L. Huyett, H.C. Zisser, F.J. Doyle III. Diabetes Care, 39(7): 1135-42, 2016. doi: 10.2337/dc15-2344. - Insulet Announces Development Partner for the OmniPod Artificial Pancreas
“Insulet Corporation today announced a license agreement and partnership with Mode AGC (Automated Glucose Control LLC), to develop and incorporate the advanced artificial pancreas algorithm created by renowned researchers Francis Doyle PhD, Eyal Dassau PhD, and Howard Zisser MD.” - Care and Cure: Engineering the future of diabetes treatment – Reuters
Research from the Doyle Group was recently featured in Reuters. See the article to hear about ongoing work with the artificial pancreas, and an interview with Frank Doyle. - Artificial Pancreas Team Awarded Grant to Begin Long-Term Trials
Along with collaborators at UVA, Harvard researchers in the Doyle group will begin the longest trials ever, starting this year. - Adjustment of open-loop settings to improve closed-loop results in type 1 diabetes: a multicenter randomized trial
E. Dassau, S.A. Brown, A. Basu, J.E. Pinsker, Y.C. Kudva, R. Gondhalekar, S. Patek, D. Lv, M. Schiavon, J.B. Lee, C.D. Man, L. Hinshaw, K. Castorino, A. Mallad, V. Dadlani, S.K. McCrady-Spitzer, M. McElwee-Malloy, C.A. Wakeman, W.C. Bevier, P.K. Bradley, B. Kovatchev, C. Cobelli, H.C. Zisser, F.J. Doyle III, “Adjustment of open-loop settings to improve […] - Artificial Pancreas Model Predictive Control (MPC) study featured in Healio
- Implantable AP featured in Science Daily
Artificial Pancreas research from the T1D team has been featured in Science Daily (and made the reddit frontpage)! See here for details on our latest work: implantable AP. Related Group Members - A Pediatric Diabetes Gamechanger
NIH-funded research on a pediatric artificial pancreas could make sleepless nights and high anxiety a thing of the past for parents of children with Type 1 diabetes To view the complete story, view the press release. Also see the story from UCSB. Related Group Members - Closed-loop artificial pancreas systems: engineering the algorithms
F.J. Doyle III, L. M. Huyett, J. B. Lee, H. C. Zisser, E. Dassau , “Closed- Loop Artificial Pancreas Systems: Engineering the Algorithms,” Diabetes Care, May 2014. [DOI] - Novel insulin delivery profiles for mixed meals for sensor-augmented pump and closed-loop artificial pancreas therapy for type 1 diabetes mellitus
A. Srinivasan, J.B. Lee, E. Dassau, F.J. Doyle III, “Novel insulin delivery profiles for mixed meals for sensor-augmented pump and closed-loop artificial pancreas therapy for type 1 diabetes mellitus,” Journal of Diabetes Science and Technology, vol. 8, no. 5, pp. 957-68,Sep 2014. [DOI] - Research featured in recent article from the Goleta chamber of commerce
See a recent news article from Goleta Magazine highlighting research from the biomedical control project: Goleta _Magazine_2014 Related Group Members - 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 […] - 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 […] - Defeating Diabetes with Technology
A recent news article in the Santa Barbara Independent highlights the potential benefits of our artificial pancreas system http://www.independent.com/news/2013/sep/19/defeating-diabetes-technology/ - Model-Based Personalization Scheme of an Artificial Pancreas for Type 1 Diabetes Applications
J. B. Lee, E. Dassau, D. Seborg, F.J. Doyle III, “Model-Based Personalization Scheme of an Artificial Pancreas for Type 1 Diabetes Applications,” Proceedings of the American Controls Conference 2013. - Clinical evaluation of a personalized artificial pancreas
E. Dassau, H. Zisser, R.A. Harvey, M.W. Percival, B. Grosman, W. Bevier, E. Atlas, S. Miller, R. Nimri, L. Jovanovic, F.J. Doyle III “Clinical evaluation of a personalized artificial pancreas,” Diabetes Care, vol. 36, no. 4, pp. 801-9, Apr 2013. [DOI] - Dr. Eyal Dassau
Director, Biomedical Systems Engineering Research Group Senior Research Fellow in Biomedical Engineering in the Harvard John A. Paulson School of Engineering and Applied Sciences Adjunct Faculty, Joslin Diabetes Center, Boston, MA Adjunct Senior Investigator at Sansum Diabetes Research Institute (SDRI) Education BSc: 1999, ChE, Technion Israel Institute of Technology MSc: 2002, ChE, Technion Israel Institute […] - In silico evaluation of an artificial pancreas combining exogenous ultrafast-acting technosphere insulin with zone model predictive control
J.J. Lee, E. Dassau, H. Zisser, R.A. Harvey, L. Jovanovič, F.J. Doyle III “In silico evaluation of an artificial pancreas combining exogenous ultrafast-acting technosphere insulin with zone model predictive control,” Journal of Diabetes Science and Technology, vol. 7, no. 1, pp. 215-26, January 2013. [PMID] - Design of the health monitoring system for the artificial pancreas: low glucose prediction module
R.A. Harvey, E. Dassau, H. Zisser, D.E. Seborg, L. Jovanovič, F.J. Doyle III “Design of the health monitoring system for the artificial pancreas: low glucose prediction module,” Journal of Diabetes Science and Technology, vol. 6, no. 6, pp. 1345-54, November 2012. [PMID] - 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 […] - 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 - Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia
M. Breton, A. Farret, D. Bruttomesso, S. Anderson, L. Magni, S. Patek, C. Dalla Man, J. Place, S. Demartini, S. Del Favero, C. Toffanin, C. Hughes-Karvetski, E. Dassau, H. Zisser, F.J. Doyle III, G. De Nicolao, A. Avogaro, C. Cobelli, E. Renard, B. Kovatchev, International Artificial Pancreas Study Group, “Fully integrated artificial pancreas in type […] - Pilot studies of wearable outpatient artificial pancreas in type 1 diabetes
C. Cobelli, E. Renard, B.P. Kovatchev, P. Keith-Hynes, N. Ben Brahim, J. Place, S. Del Favero, M. Breton, A. Farret, D. Bruttomesso, E. Dassau, H. Zisser, F.J. Doyle III, S.D. Patek, A. Avogaro, “Pilot studies of wearable outpatient artificial pancreas in type 1 diabetes,” Diabetes Care, vol. 35, no. 9, pp. e65-7, Sep 2012. [DOI] - 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] - Trial of artificial pancreas gives diabetes patients a break
Trial of artificial pancreas gives diabetes patients a break - Outpatient Artificial Pancreas Study Funded by the Juvenile Diabetes Research Foundation
Outpatient Artificial Pancreas Study Funded by the Juvenile Diabetes Research Foundation - 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] - NIH Awards $4.5M to International Research Group for Smart Artificial Pancreas Technology
NIH Awards $4.5M to International Research Group for Smart Artificial Pancreas Technology - 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] - Artificial Pancreas Awaits FDA
Artificial Pancreas Awaits FDA - 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, […] - Santa Barbara researchers to test artificial pancreas
Santa Barbara researchers to test artificial pancreas - 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] - An advisory protocol for rapid- and slow-acting insulin therapy based on a run-to-run methodology
F. Campos-Cornejo, D.U. Campos-Delgado, D. Espinoza-Trejo, H. Zisser, L. Jovanovic, F.J. Doyle III, E. Dassau, “An advisory protocol for rapid- and slow-acting insulin therapy based on a run-to-run methodology,” Diabetes Technology & Therapeutics, vol. 12, no. 7, pp. 555-65, Jul 2010. [DOI] - Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events
B. Grosman, E. Dassau, H.C. Zisser, L. Jovanovic, F.J. Doyle III, “Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events,” Journal of Diabetes Science and Technology, vol. 4, no. 4, pp. 961-75, Jul 2010. [PMID] - Proposed clinical application for tuning fuzzy logic controller of artificial pancreas utilizing a personalization factor
R. Mauseth, Y. Wang, E. Dassau, R. Kircher Jr, D. Matheson, H. Zisser, L. Jovanovic, F.J. Doyle III, “Proposed clinical application for tuning fuzzy logic controller of artificial pancreas utilizing a personalization factor,” Journal of Diabetes Science and Technology, vol. 4, no. 4, pp. 913-22, Jul 2010. [PMID] - Real-Time Hypoglycemia Prediction Suite Using Continuous Glucose Monitoring: A safety net for the artificial pancreas
E. Dassau, F. Cameron, H. Lee, B.W. Bequette, H. Zisser, L. Jovanovic, H.P. Chase, D.M. Wilson, B.A. Buckingham, F.J. Doyle III, “Real-Time Hypoglycemia Prediction Suite Using Continuous Glucose Monitoring: A safety net for the artificial pancreas,” Diabetes Care, vol. 33, no. 6, pp. 1013–1017, June 2010. [DOI] - Model Predictive Control with Learning-Type Set-point:Application to Artificial Pancreatic β-Cell
Y. Wang, H. Zisser, E. Dassau, L. Jovanovic, F.J. Doyle III, “Model Predictive Control with Learning-Type Set-point:Application to Artificial Pancreatic β-Cell ,” AIChE Journal, vol. 56, no. 6, pp. 1510–1518, June 2010.[DOI] - Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension
B.A. Buckingham, H.P. Chase, E. Dassau, E. Corby, P. Clinton, V. Gage, K. Caswell, J. Wilkinson, F. Cameron, H. Lee, B.W. Bequette, F.J. Doyle III, “Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension,” Diabetes Care, vol. 33, no. 5, pp. 1013–1017, May 2010.[DOI] - Obstacles Diminish in Quest for the Artificial Pancreas
Obstacles Diminish in Quest for the Artificial Pancreas - Closed-Loop Control of Artificial Pancreatic β-Cell in Type 1 Diabetes Mellitus Using Model Predictive Iterative Learning Control
Y. Wang, E. Dassau, F.J. Doyle III, “Closed-Loop Control of Artificial Pancreatic β-Cell in Type 1 Diabetes Mellitus Using Model Predictive Iterative Learning Control,” Biomedical Engineering, IEEE Transactions on, vol. 57, no. 2, pp. 211–219, February 2010.[DOI] - 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] - Automated “Artificial Pancreas” Controls Blood Glucose Levels in Diabetes Patients for First Time
Automated ‘Artificial Pancreas’ Controls Blood Glucose Levels in Diabetes Patients for First Time — Study Presented at American Diabetes Association Scientific Sessions Alternate Link - 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] - Research holds promise for diabetics
Santa Barbara News-Press Read Article Here - 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] - 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] - Bolus calculator: a review of four “smart” insulin pumps
H. Zisser, L. Robinson, W. Bevier, E. Dassau, C. Ellingsen, F.J. Doyle III, L. Jovanovic, “Bolus calculator: a review of four “smart” insulin pumps,” Diabetes Technology & Therapeutics, vol. 10, no. 6, pp. 441-4, Dec 2008. [DOI] - Modular artificial beta-cell system: a prototype for clinical research
E. Dassau, H. Zisser, C. C Palerm, B. A Buckingham, L. Jovanovic, F. J Doyle III, “Modular artificial beta-cell system: a prototype for clinical research,” Journal of Diabetes Science and Technology, vol. 2, no. 5, pp. 863-72, Sep 2008. [PMID] - Detection of a Meal Using Continuous Glucose Monitoring: Implications for an artificial β-cell
E. Dassau, B. W. Bequette, B. A. Buckingham, and F. J. Doyle III, “Detection of a Meal Using Continuous Glucose Monitoring: Implications for an artificial β-cell,” Diabetes Care, vol. 31, pp. 295–300, February 2008.[DOI]