Showing results (171-180 of 455) with videos related to

Sort By:
Pageof 46
Diabetes Care|April 24, 2014
Closed-loop artificial pancreas systems: physiological input to enhance next-generation devicesYogish C Kudva, Rickey E Carter, Claudio Cobelli, et al.
BMC Bioinformatics|October 26, 2012
Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP dataFrancesco Sambo, Emanuele Trifoglio, Barbara Di Camillo, et al.
American Journal of Physiology. Endocrinology and Metabolism|February 8, 2002
Double isotope tracer method for measuring fractional zinc absorption: theoretical analysisGiovanni Sparacino, David M Shames, Paolo Vicini, et al.
IEEE Transactions on Bio-Medical Engineering|May 24, 2007
Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-seriesGiovanni Sparacino, Francesca Zanderigo, Stefano Corazza, et al.
Gait & Posture|November 20, 2012
The role of foot morphology on foot function in diabetic subjects with or without neuropathyAnnamaria Guiotto, Zimi Sawacha, Gabriella Guarneri, et al.
Journal of Neuroengineering and Rehabilitation|August 15, 2013
Relationship between clinical and instrumental balance assessments in chronic post-stroke hemiparesis subjectsZimi Sawacha, Elena Carraro, Paola Contessa, et al.
Diabetes Care|December 10, 2013
Quantitative estimation of insulin sensitivity in type 1 diabetic subjects wearing a sensor-augmented insulin pumpMichele Schiavon, Chiara Dalla Man, Yogish C Kudva, et al.
Diabetes Care|May 22, 2016
Day-and-Night Closed-Loop Glucose Control in Patients With Type 1 Diabetes Under Free-Living Conditions: Results of a Single-Arm 1-Month Experience Compared With a Previously Reported Feasibility Study of Evening and Night at HomeEric Renard, Anne Farret, Jort Kropff, et al.
Magnetic Resonance Imaging|May 28, 2011
Assessment of clinical data of nonlinear stochastic deconvolution versus block-circulant singular value decomposition for quantitative dynamic susceptibility contrast magnetic resonance imagingDenis Peruzzo, Francesca Zanderigo, Alessandra Bertoldo, et al.
Source Code for Biology and Medicine|November 19, 2015
MOtoNMS: A MATLAB toolbox to process motion data for neuromusculoskeletal modeling and simulationAlice Mantoan, Claudio Pizzolato, Massimo Sartori, et al.
Pageof 46