I'm an account set up by Peter to be used by the wordpress xmlrpc interface. Ask me for the relevant python code which will query CrossRef, PubMed and generate appropriately organized publication posts.
C. Luni, J.D. Marth, F.J. Doyle III, “Computational modeling of glucose transport in pancreatic β-cells identifies metabolic thresholds and therapeutic targets in diabetes,” PloS One, vol. 7, no. 12, pp. e53130, December 2012. [DOI]
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]
T.H. Nguyen, N. Easter, L. Gutierrez, L. Huyett, E. Defnet, S.E. Mylon, J.K. Ferri, N.A. Viet, “The RNA core weakly influences the interactions of the bacteriophage MS2 at key environmental interfaces,” Soft Matter, vol. 7, no. 21, pp. 10449, 2011. [DOI]
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]
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 […]
The success of the human genome project has ushered in a new era that emphasizes a systemic or integrated approach to ascertain the cellular behavior arising from complex cellular networks. Scientists are now embarking on a quest to elucidate the organization and control of cellular networks that underlie the phenotypic behavior of a cell; these […]
Sansum Diabetes Research Institute
Our experimental collaborators, a research center devoted to the prevention, treatment and cure of diabetes http://www.sansum.org/
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 […]
The success of the human genome project has ushered in a new era that emphasizes a systemic or integrated approach to ascertain the cellular behavior arising from complex cellular networks. Scientists are now embarking on a quest to elucidate the organization and control of cellular networks that underlie the phenotypic behavior of a cell; these […]
