CORDIS provides links to public deliverables and publications of HORIZON projects.
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
DMP will be updated.
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 (opens in new window)Project management handbook (opens in new window)
Handbook
Online education and training tool (opens in new window)This deliverable is directly related to Task 5.3: Online education and training tools for patients and healthcare professionals to facilitate implementation and increase safety (FIDAM, PSHI) (M6-M48).Education and training tools will be developed that inform patients and healthcare professionals about essential components and functionality of the system and how to deal with problems and system alerts. These training materials will address the following aspects: a) how the system works, b) safety, c) possible indications which patients profit most, d) possible patient characteristics indicating high vulnerability for device-related burden or unsafe use, e) typical barriers of patients and how to address these. These training materials will positively influence the risk-to-benefit ratio of the BIP by providing necessary knowledge and skills to patients and healthcare professionals. Furthermore, unrealistic expectations will be addressed to reduce barriers and burden potentially associated with the system.This deliverable will be in the form of written and graphically designed education material that can be presented and conducted online.
Safety of implantation and ip sensor functionality in pigs (opens in new window)The new system will be tested in pigs after obtaining Ethic committee approval.
In vivo validation of BIP components and full system (opens in new window)Ethical committee approval 1 (opens in new window)
Ethical committee approval will be filed by CHUM.
Focus Group & human factors identification (opens in new window)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.
New questionnaire to assess patient satisfaction (opens in new window)Assessment tool to inform eligibilityThis deliverable is directly related to Task 5.2: Assessment tool to inform eligibility (FIDAM, PSHI) (M11-M48).Selection of most-suited users is a potential strategy to reduce risks associated with the BIP. Based on the interviews, handling of the mock versions, and experiences from the first in-human trials, a possible set of items will be generated depicting important aspects of safe and effective use of the BIP such as perceived barriers and benefits as well as satisfaction. This assessment tool will be validated in adolescent and adult patients either using sensor-augmented pump therapy or “self-built closed-loop systems”. This will allow identification of users most likely to benefit from the BIP and exclude vulnerable patients with high levels of psychological and medical barriers towards an effective and safe use of the BIP.The deliverable will be a questionnaire (assessment tool)
Eligibility criteria & patient emergency card for risk mitigation (opens in new window)This deliverable is directly related to Task 5.4: Ethical implication (FIDAM, PSHI, UNIPD) (M36-M48).The above-mentioned assessment tool as well as the training materials will be integrated in an overall risk mitigation strategy to improve the risk-to-benefit ratio of the BIP. Based on identified human factors, eligibility criteria will be developed or revised for the use of the BIP to reduce risk and harm potentially associated with the new device. Based on human factors results and other experiences during the project, a patient emergency card will be developed that contains safety precautions and instructions in case of device alerts or device-related problems.This deliverable will be a written card for patient.
Fin. reports on each single-exposure experiments (opens in new window)Fin. report on sensor, control algo and pump bench testing (opens in new window)
Ethical committee approval (opens in new window)
Prelim. report on ip personalized, control algorithm (opens in new window)
The algorithm will be developed according to the preliminary data gathered and to the performance of the sensor.
final project presentation by website, public conferences, meetings and scientific reports.
Project website (opens in new window)website with project description will be developed
Publications
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
Author(s):
Alberto Dalla Libera, Chiara Toffanin, Martina Drecogna, Alfonso Galderisi, Gianluigi Pillonetto, Claudio Cobelli
Published in:
APL Bioengineering, Issue 7, 2025, ISSN 2473-2877
Publisher:
AIP Publishing
DOI:
10.1063/5.0145446
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
Author(s):
NORBERT HERMANNS, KATHARINA FINKE-GROENE, BERNHARD KULZER, DOMINIC EHRMANN
Published in:
Diabetes, Issue 71, 2022, ISSN 0012-1797
Publisher:
American Diabetes Association
DOI:
10.2337/db22-796-p
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
Author(s):
Erika Roventini, Francesco Iacoponi, Aliria Poliziani, Paolo Canepa, Ornella Cavalleri, Maria A. Cassa, Paola Parlanti, Carlotta Pucci, Mauro Gemmi, Chiara Tonda-Turo, Leonardo Ricotti
Published in:
Scientific Reports, 2025, ISSN 2045-2322
Publisher:
Nature Publishing Group
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
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
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
Author(s):
Hind Al‐Haddad, Daniele Guarnera, Izadyar Tamadon, Lorenzo Arrico, Giulia Ballardini, Francesco Mariottini, Alessio Cucini, Simone Ricciardi, Fabio Vistoli, Maria Isabella Rotondo, Daniela Campani, Xuyang Ren, Gastone Ciuti, Benjamin Terry, Veronica Iacovacci, Leonardo Ricotti
Published in:
Advanced Intelligent Systems, Issue 6, 2025, ISSN 2640-4567
Publisher:
Wiley
DOI:
10.1002/aisy.202400125
Author(s):
Drecogna M., Toffanin C., Galderisi A., & Cobelli C
Published in:
Diabetes Technology & Therapeutics, Issue 25, 2023, Page(s) A-1-A-269, ISSN 1520-9156
Publisher:
Mary Ann Liebert Inc.
DOI:
10.1089/dia.2023.2525.abstracts
Author(s):
NORBERT HERMANNS, KATHARINA FINKE-GROENE, BERNHARD KULZER, DOMINIC EHRMANN
Published in:
Diabetes, Issue 73, 2024, ISSN 0012-1797
Publisher:
American Diabetes Association
DOI:
10.2337/db24-650-p
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
Author(s):
DOMINIC EHRMANN, KATHARINA FINKE-GROENE, BERNHARD KULZER, NORBERT HERMANNS
Published in:
Diabetes, Issue 73, 2024, ISSN 0012-1797
Publisher:
American Diabetes Association
DOI:
10.2337/db24-968-p
Author(s):
DOMINIC EHRMANN, KATHARINA FINKE-GROENE, BERNHARD KULZER, NORBERT HERMANNS
Published in:
Diabetes, Issue 71, 2022, ISSN 0012-1797
Publisher:
American Diabetes Association
DOI:
10.2337/db22-606-p
Author(s):
Drecogna M., Toffanin C., Galderisi A., & Cobelli C
Published in:
Diabetes Technology & Therapeutics, Issue 26, 2024, Page(s) A-1-A-376, ISSN 1520-9156
Publisher:
Mary Ann Liebert Inc.
DOI:
10.1089/dia.2024.2525.abstracts
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
Author(s):
Martina Drecogna, Claudio Cobelli, Chiara Toffanin
Published in:
2024 32nd Mediterranean Conference on Control and Automation (MED), 2024, Page(s) 233-238
Publisher:
IEEE
DOI:
10.1109/med61351.2024.10566183
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