A BIONIC INVISIBLE PANCREAS TO FORGET DIABETES

Resultado final

The intraperitoneal T1D simulator will be developed according to the data available from the preclinical trial and modeled on the framework of the T1D PadovaUVa simulator

Prelim. report on sensor, control algo and pump bench testing
Project management handbook

Handbook

Ethical committee approval 1

Ethical committee approval will be filed by CHUM.

Focus Group & human factors identification

This deliverable is directly related to Task 51Semistructured interviews in different user population subgroupsPatients will be interviewed with regard to potential benefits and barriers for adoption of the new technology In addition interviews will focus on human factors associated with successful longterm use as well as on vigilance to ensure early identification of any problems and malfunctions These interviews will be conducted in three different subgroups with 10 patients with type 1 diabetes per group 1675 years equal gender distribution 1 Multiple Daily Insulin injection therapy Continuous Glucose Monitoring CGM users 2 Insulin pump CGM users 3 patients with selfbuilt closedloop system For these interviews mock versions of the charging belt and control unit will be handed to patient to explore their perception and ease of use of those componentsDeliverables of this taks will be a report on the outcomes of the focus group discussions and identification of human factors associated with use of BIP

Prelim. report on ip personalized, control algorithm

The algorithm will be developed according to the preliminary data gathered and to the performance of the sensor

Project website

website with project description will be developed

Publicaciones

Kernel-based methods for Volterra series identification

Autores: Alberto Dalla Libera; Ruggero Carli; Gianluigi Pillonetto
Publicado en: Automatica, 2021, Página(s) 1-11, ISSN 0005-1098
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2021.109686

Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials

Autores: Claudio Cobelli; Chiara Dalla Man
Publicado en: Journal of Diabetes Science and Technology, 2021, Página(s) 1-29, ISSN 1932-2968
Editor: Diabetes Technology Society
DOI: 10.1177/19322968211015268

Intraperitoneal Insulin Delivery: Evidence of a Physiological Route for Artificial Pancreas From Compartmental Modeling

Autores: Jorge Lo Presti; Alfonso Galderisi; Francis J. Doyle, III; Howard C. Zisser; Eyal Dassau; Eric Renard; Chiara Toffanin; Claudio Cobelli
Publicado en: Journal of Diabetes Science and Technology, 2022, ISSN 1932-2968
Editor: Diabetes Technology Society
DOI: 10.1177/19322968221076559

Laboratory Protocol and Pilot Results for Dynamic Interference Testing of Continuous Glucose Monitoring Sensors

Autores: Andreas Pfützner; Hendrick Jensch; Christopher Cardinal; Geetham Srikanthamoorthy; Eric Riehn; Nicole Thomé
Publicado en: Journal of Diabetes Science and Technology, 2022, Página(s) 1-7, ISSN 1932-2968
Editor: Diabetes Technology Society
DOI: 10.1177/19322968221095573

Deep prediction networks

Autores: Alberto Dalla Libera; Gianluigi Pillonetto
Publicado en: Neurocomputing, 2022, Página(s) 321-329, ISSN 0925-2312
Editor: Elsevier BV
DOI: 10.1016/j.neucom.2021.10.054

"Response to Comment on ""Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials"""

Autores: Claudio Cobelli; Chiara Dalla Man
Publicado en: Journal of Diabetes Science and Technology, 2021, Página(s) 1-2, ISSN 1932-2968
Editor: Diabetes Technology Society
DOI: 10.1177/19322968211060069

Artificial Pancreas: In Silico Study Shows No Need of Meal Announcement and Improved Time in Range of Glucose With Intraperitoneal vs. Subcutaneous Insulin Delivery

Autores: Chiara Toffanin; Lalo Magni; Claudio Cobelli
Publicado en: IEEE Transactions on Medical Robotics and Bionics, 2021, Página(s) 306-314, ISSN 2576-3202
Editor: IEEE
DOI: 10.1109/tmrb.2021.3075775

Early Impairment of Insulin Sensitivity, β-Cell Responsiveness, and Insulin Clearance in Youth with Stage 1 Type 1 Diabetes

Autores: Galderisi, Alfonso; Moran, Antoinette; Evans-Molina, Carmella; Martino, Mariangela; Santoro, Nicola; Caprio, Sonia; Cobelli, Claudio
Publicado en: The Journal of Clinical Endocrinology & Metabolism, 2021, ISSN 0021-972X
Editor: The Endocrine Society
DOI: 10.1210/clinem/dgab344

Resultado final

Publicaciones

Compartir esta página

Descargar