A BIONIC INVISIBLE PANCREAS TO FORGET DIABETES

Project Information

FORGETDIABETES

Grant agreement ID: 951933

DOI 10.3030/951933

EC signature date 28 May 2020

Start date 1 October 2020

End date 30 September 2025

Funded under

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Total cost € 3 901 014,75

EU contribution € 3 901 005,75

Coordinated by

UNIVERSITA DEGLI STUDI DI PADOVA
Italy

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (6)

Intraperitoneal T1D simulator

The intraperitoneal T1D simulator will be developed according to the data available from the preclinical trial and modeled on the framework of the T1D Padova/UVa 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 5.1:Semi-structured 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 long-term 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: (16-75 years, equal gender distribution): 1) Multiple Daily Insulin injection therapy + Continuous Glucose Monitoring (CGM) users 2) Insulin pump + CGM users 3) patients with self-built closed-loop 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 components.Deliverables 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.

Websites, patent fillings, videos etc. (1)

Project website

website with project description will be developed

Publications

Peer reviewed articles (8)

Kernel-based methods for Volterra series identification

Author(s): Alberto Dalla Libera; Ruggero Carli; Gianluigi Pillonetto
Published in: Automatica, 2021, Page(s) 1-11, ISSN 0005-1098
Publisher: 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

Author(s): Claudio Cobelli; Chiara Dalla Man
Published in: Journal of Diabetes Science and Technology, 2021, Page(s) 1-29, ISSN 1932-2968
Publisher: Diabetes Technology Society
DOI: 10.1177/19322968211015268

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

Author(s): Jorge Lo Presti; Alfonso Galderisi; Francis J. Doyle, III; Howard C. Zisser; Eyal Dassau; Eric Renard; Chiara Toffanin; Claudio Cobelli
Published in: Journal of Diabetes Science and Technology, 2022, ISSN 1932-2968
Publisher: Diabetes Technology Society
DOI: 10.1177/19322968221076559

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

Author(s): Andreas Pfützner; Hendrick Jensch; Christopher Cardinal; Geetham Srikanthamoorthy; Eric Riehn; Nicole Thomé
Published in: Journal of Diabetes Science and Technology, 2022, Page(s) 1-7, ISSN 1932-2968
Publisher: Diabetes Technology Society
DOI: 10.1177/19322968221095573

Deep prediction networks

Author(s): Alberto Dalla Libera; Gianluigi Pillonetto
Published in: Neurocomputing, 2022, Page(s) 321-329, ISSN 0925-2312
Publisher: 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"""

Author(s): Claudio Cobelli; Chiara Dalla Man
Published in: Journal of Diabetes Science and Technology, 2021, Page(s) 1-2, ISSN 1932-2968
Publisher: 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

Author(s): Chiara Toffanin; Lalo Magni; Claudio Cobelli
Published in: IEEE Transactions on Medical Robotics and Bionics, 2021, Page(s) 306-314, ISSN 2576-3202
Publisher: 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

Author(s): Galderisi, Alfonso; Moran, Antoinette; Evans-Molina, Carmella; Martino, Mariangela; Santoro, Nicola; Caprio, Sonia; Cobelli, Claudio
Published in: The Journal of Clinical Endocrinology & Metabolism, 2021, ISSN 0021-972X
Publisher: The Endocrine Society
DOI: 10.1210/clinem/dgab344