Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
Based at Harvard University, the Doyle group is comprised of a diverse group of researchers, coming from backgrounds such as computer science, biology, and chemical engineering. Contact us to inquire about open positions.
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).
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.