Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lillian Pinault"'
Publikováno v:
Journal of Clinical and Translational Endocrinology Case Reports, Vol 20, Iss , Pp 100084- (2021)
Introduction: Hypoglycemia harbors a broad differential diagnosis but is most often thought of in relation to poorly controlled diabetes. Recently however, there is growing evidence that genetic mutations, in the setting of hyperinsulinemic hypoglyce
Externí odkaz:
https://doaj.org/article/3c6cadd2b6914462a1e816e4910f4e24
Autor:
Isabel Marcano, Medha Satyarengga, Guillermo E. Umpierrez, John D. Sorkin, William H. Scott, Lakshmi G. Singh, Lillian Pinault, Elias K. Spanakis, Zhaoyong Feng
Publikováno v:
Diabetes Care
OBJECTIVEUse of real-time continuous glucose monitoring (RT-CGM) systems in the inpatient setting is considered investigational. The objective of this study was to evaluate whether RT-CGM, using the glucose telemetry system (GTS), can prevent hypogly
Autor:
Thomai Stathopoulou, Elias K. Spanakis, Stavroula Mougiakakou, Lillian Pinault, Maria F. Vasiloglou, Ya Lu, Colleen Kiley
Publikováno v:
Lu, Ya; Stathopoulou, Thomai; Vasiloglou, Maria F.; Pinault, Lillian; Kiley, Colleen; Spanakis, Elias; Mougiakakou, Stavroula (2020). goFOOD[TM]: An Artificial Intelligence System for Dietary Assessment. Sensors, 20(4283) Molecular Diversity Preservation International MDPI https://doi.org/10.3390/s20154283
Sensors, Vol 20, Iss 4283, p 4283 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 15
Sensors, Vol 20, Iss 4283, p 4283 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 15
Accurate estimation of nutritional information may lead to healthier diets and better clinical outcomes. We propose a dietary assessment system based on artificial intelligence (AI), named goFOODTM . The system can estimate the calorie and macronutri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5068300f599fd3a8b88ee866ff07f2c3
Autor:
David L. Levitt, John D. Sorkin, Medha Satyarengga, Guillermo E. Umpierrez, Min Zhan, Elias K. Spanakis, Lillian Pinault, Lakshmi G. Singh, Jeffrey C. Fink
Publikováno v:
J Diabetes Sci Technol
Background:Limited evidence is available about the use of continuous glucose monitoring (CGM) in general wards. In this pilot study we evaluated the use of the glucose telemetry system (GTS) using ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51bb6416fa3977439a2ee881e55f0c44
https://europepmc.org/articles/PMC7673149/
https://europepmc.org/articles/PMC7673149/
Autor:
Elias K. Spanakis, Guillermo E. Umpierrez, Lillian Pinault, Tariq Siddiqui, David L. Levitt, Lakshmi G. Singh, Jeffrey C. Fink, John D. Sorkin
Publikováno v:
Journal of Diabetes Science and Technology. 12:20-25
Few studies have examined the use of continuous glucose monitoring (CGM) devices in the general wards. The aim of this pilot study was to examine whether CGM readings can be successfully transmitted from the bedside to a central monitoring device in
Autor:
Guillermo E. Umpierrez, Min Zhan, John D. Sorkin, Lakshmi G. Singh, Medha Satyarengga, Lillian Pinault, Elias K. Spanakis
Publikováno v:
Diabetes. 68
Objective: In a pilot study we have previously demonstrated successful transmission of glucometric values from continuous glucose monitoring (CGM) devices to a monitoring system at the nursing station (Glucose Telemetry System-GTS). In an ongoing stu