Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Belén Pons

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Journal of Diabetes Science and Technology|May 26, 2017
Artificial Intelligence Methodologies and Their Application to DiabetesMercedes Rigla, Gema García-Sáez, Belén Pons, et al.
Journal of Diabetes Science and Technology|April 20, 2017
Gestational Diabetes Management Using Smart Mobile TelemedicineMercedes Rigla, Iñaki Martínez-Sarriegui, Gema García-Sáez, et al.
Diabetes Technology & Therapeutics|May 14, 2008
Real-time continuous glucose monitoring together with telemedical assistance improves glycemic control and glucose stability in pump-treated patientsMercedes Rigla, M Elena Hernando, Enrique J Gómez, et al.
Diabetes Technology & Therapeutics|February 23, 2018
Human Subcutaneous Tissue Response to Glucose Sensors: Macrophages Accumulation Impact on Sensor AccuracyMercedes Rigla, Belén Pons, Pere Rebasa, et al.
Journal of Diabetes Science and Technology|May 31, 2014
Patient-oriented Computerized Clinical Guidelines for Mobile Decision Support in Gestational DiabetesGema García-Sáez, Mercedes Rigla, Iñaki Martínez-Sarriegui, et al.
Journal of Diabetes Science and Technology|February 11, 2010
Automatic data processing to achieve a safe telemedical artificial pancreasM Elena Hernando, Gema García-Sáez, Iñaki Martínez-Sarriegui, et al.
Diabetes Technology & Therapeutics|October 25, 2013
Artificial pancreas using a personalized rule-based controller achieves overnight normoglycemia in patients with type 1 diabetesIsmael Capel, Mercedes Rigla, Gema García-Sáez, et al.
International Journal of Medical Informatics|March 29, 2017
Assessment of a personalized and distributed patient guidance systemMor Peleg, Yuval Shahar, Silvana Quaglini, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Diabetes Science and Technology|May 26, 2017
Artificial Intelligence Methodologies and Their Application to DiabetesMercedes Rigla, Gema García-Sáez, Belén Pons, et al.
Journal of Diabetes Science and Technology|April 20, 2017
Gestational Diabetes Management Using Smart Mobile TelemedicineMercedes Rigla, Iñaki Martínez-Sarriegui, Gema García-Sáez, et al.
Diabetes Technology & Therapeutics|May 14, 2008
Real-time continuous glucose monitoring together with telemedical assistance improves glycemic control and glucose stability in pump-treated patientsMercedes Rigla, M Elena Hernando, Enrique J Gómez, et al.
Diabetes Technology & Therapeutics|February 23, 2018
Human Subcutaneous Tissue Response to Glucose Sensors: Macrophages Accumulation Impact on Sensor AccuracyMercedes Rigla, Belén Pons, Pere Rebasa, et al.
Journal of Diabetes Science and Technology|May 31, 2014
Patient-oriented Computerized Clinical Guidelines for Mobile Decision Support in Gestational DiabetesGema García-Sáez, Mercedes Rigla, Iñaki Martínez-Sarriegui, et al.
Journal of Diabetes Science and Technology|February 11, 2010
Automatic data processing to achieve a safe telemedical artificial pancreasM Elena Hernando, Gema García-Sáez, Iñaki Martínez-Sarriegui, et al.
Diabetes Technology & Therapeutics|October 25, 2013
Artificial pancreas using a personalized rule-based controller achieves overnight normoglycemia in patients with type 1 diabetesIsmael Capel, Mercedes Rigla, Gema García-Sáez, et al.
International Journal of Medical Informatics|March 29, 2017
Assessment of a personalized and distributed patient guidance systemMor Peleg, Yuval Shahar, Silvana Quaglini, et al.
Pageof 1