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.
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.
Entrainment of circadian rhythms depends on firing rates and neuropeptide release of VIP SCN neurons
Mazuski C, Abel JH, Chen SP, Hermanstyne TO, Jones JR, Simon T, Doyle FJ, Herzog ED. Entrainment of circadian rhythms depends on firing rates and neuropeptide release of VIP SCN neurons. Neuron, 2018. doi:10.1016/j.neuron.2018.06.029
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.