Recent Publications

September 19, 2019 Read More →

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).

September 19, 2019 Read More →

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).

July 25, 2019 Read More →

Mechanistic inferences on metabolic dysfunction in PTSD from an integrated model and multi-omic analysis: Role of glucocorticoid receptor sensitivity

Pramod R. Somvanshi, Synthia H. Mellon, Janine D. Flory, Duna Abu-amara, PTSD Systems Biology Consortium, Owen M. Wolkowitz, Rachel Yehuda, Marti Jett, Leroy Hood, Charles Marmar, and Francis J. Doyle.  2019.  American Journal of Physiology: Endocrinology and Metabolism.

June 11, 2019 Read More →

Polygenic risk associated with post-traumatic stress disorder onset and severity

B. Misganaw, G. Guffanti, A. Lori, D. Abu-Amara, J. D. Flory, SBPBC, S. Mueller, R. Yehuda, M. Jett, C. R. Marmar, K. J. Ressler, & F. J. Doyle III. 2019. Translational Psychiatry 9.

June 10, 2019 Read More →

Compensating for Sensor Error in the Model Predictive Control of Circadian Clock Phase

Lindsey S. Brown, Elizabeth B. Klerman, & Francis J. Doyle III. 2019. IEEE Control Systems Letters, 3 (4).

May 20, 2019 Read More →

Pre-Deployment Risk Factors for PTSD in Afghanistan Veterans: A Machine Learning Approach for Analyzing Multivariate Predictors

Katharina Schultebraucks, Meng Qian, Duna Abu-Amara, Kelsey Dean, Eugene Laska, Carole Siegel, Aarti Gautam, Guia Guffanti, Rasha Hammamieh, Esther Blessing, Amit Etkin, Kerry Ressler, Francis J. Doyle III, Marti Jett, & Charles Marmar. 2019. Biological Psychiatry, 85 (10).  

April 23, 2019 Read More →

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.

February 28, 2019 Read More →

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.

January 29, 2019 Read More →

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.

January 7, 2019 Read More →

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.