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.
An Enhanced Model Predictive Control for the Artificial Pancreas Using a Confidence Index Based on Residual Analysis of Past Predictions
A.J. Laguna-Sanz, F.J. Doyle III, and E. Dassau. “An Enhanced Model Predictive Control for the Artificial Pancreas Using a Confidence Index Based on Residual Analysis of Past Predictions.” Journal of Diabetes Science and Technology, 2016. doi: 10.1177/1932296816680632
J.H. Abel and F.J. Doyle III. “A systems theoretic approach to analysis and control of mammalian circadian dynamics.” Chemical Engineering Research and Design, 2016. doi:10.1016/j.cherd.2016.09.033
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