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  1. Book ; Online ; E-Book: Introduction to modeling in physiology and medicine

    Cobelli, Claudio / Carson, Ewart R.

    2019  

    Author's details Claudio Cobelli, Ewart Carson
    Keywords Electronic books
    Language English
    Size 1 Online-Ressource (xiv, 370 Seiten), Illustrationen, Diagramme
    Edition Second edition
    Publisher Academic Press, an imprint of Elsevier
    Publishing place London
    Publishing country Great Britain
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020187462
    ISBN 978-0-12-815805-0 ; 9780128157565 ; 0-12-815805-0 ; 0128157569
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Developing the UVA/Padova Type 1 Diabetes Simulator: Modeling, Validation, Refinements, and Utility.

    Cobelli, Claudio / Kovatchev, Boris

    Journal of diabetes science and technology

    2023  Volume 17, Issue 6, Page(s) 1493–1505

    Abstract: Arguably, diabetes mellitus is one of the best quantified human conditions. In the past 50 years, the metabolic monitoring technologies progressed from occasional assessment of average glycemia via ... ...

    Abstract Arguably, diabetes mellitus is one of the best quantified human conditions. In the past 50 years, the metabolic monitoring technologies progressed from occasional assessment of average glycemia via HbA
    MeSH term(s) Humans ; Diabetes Mellitus, Type 1 ; Blood Glucose/metabolism ; Computer Simulation ; Blood Glucose Self-Monitoring ; Insulin Infusion Systems ; Glucose ; Insulin ; Algorithms ; Pancreas, Artificial ; Hypoglycemic Agents
    Chemical Substances Blood Glucose ; Glucose (IY9XDZ35W2) ; Insulin ; Hypoglycemic Agents
    Language English
    Publishing date 2023-09-25
    Publishing country United States
    Document type Review ; Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ISSN 1932-2968
    ISSN (online) 1932-2968
    DOI 10.1177/19322968231195081
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book: Modelling methodology for physiology and medicine

    Carson, Ewart R. / Cobelli, Claudio

    (Elsevier insights)

    2014  

    Author's details Ewart Carson ; Claudio Cobelli
    Series title Elsevier insights
    Keywords Medicine/Mathematical models ; Human physiology/Mathematical models
    Subject code 610.15118
    Language English
    Size XXIV, 564 S. : Ill., graph. Darst., 23 cm
    Edition 2. ed.
    Publisher Elsevier
    Publishing place Amsterdam u.a.
    Publishing country Netherlands
    Document type Book
    HBZ-ID HT018142671
    ISBN 978-0-12-411557-6 ; 0-12-411557-8
    Database Catalogue ZB MED Medicine, Health

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  4. Article ; Online: Short- and Long-Term Effects on Glucose Control of Nonadherence to Insulin Therapy in People With Type 2 Diabetes An

    Visentin, Roberto / Cobelli, Claudio / Sieber, Jochen / Dalla Man, Chiara

    Journal of diabetes science and technology

    2024  Volume 18, Issue 2, Page(s) 309–317

    Abstract: Background: Strict adherence to multiple daily insulin (MDI) therapy is a cornerstone for the achievement of good glucose control in people with advanced type 2 diabetes (T2D). Here, we aim to : Methods: We tuned the Padova T2D Simulator, originally ... ...

    Abstract Background: Strict adherence to multiple daily insulin (MDI) therapy is a cornerstone for the achievement of good glucose control in people with advanced type 2 diabetes (T2D). Here, we aim to
    Methods: We tuned the Padova T2D Simulator, originally describing early-stage T2D physiology, around advanced T2D people. One hundred
    Results: A statistically significant degradation was found in all glucose control outcome metrics in
    Conclusions: Impaired adherence to MDI therapy in T2D leads to glucose control deteriorations in both short and long terms. Interestingly, short-term hyperglycemia seems being contrasted by residual endogenous insulin secretion, which statistically increased by 3-fold after delayed/skipped insulin boluses compared with optimal ones.
    MeSH term(s) Humans ; Insulin ; Diabetes Mellitus, Type 2/drug therapy ; Blood Glucose ; Insulin, Regular, Human ; Glucose
    Chemical Substances Insulin ; Blood Glucose ; Insulin, Regular, Human ; Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2024-01-29
    Publishing country United States
    Document type Journal Article
    ISSN 1932-2968
    ISSN (online) 1932-2968
    DOI 10.1177/19322968231223936
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Conference proceedings: Modelling and control in biomedical systems

    Cobelli, Claudio

    selected papers from the IFAC symposium, Venice, Italy, 6 - 8 April 1988

    (IFAC proceedings series ; 1989,1)

    1989  

    Author's details ed. by C. Cobelli
    Series title IFAC proceedings series ; 1989,1
    Collection
    Keywords Models, Theoretical / congresses ; Biologisches System ; Mathematisches Modell ; Medizin
    Subject Humanmedizin ; Heilkunst ; Medicine
    Size XVIII, 665 S. : graph. Darst.
    Edition 1. ed.
    Publisher Pergamon Pr
    Publishing place Oxford u.a.
    Publishing country Great Britain
    Document type Book ; Conference proceedings
    HBZ-ID HT003320106
    ISBN 0-08-035732-6 ; 978-0-08-035732-4
    Database Catalogue ZB MED Medicine, Health

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  6. Article ; Online: Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials.

    Cobelli, Claudio / Dalla Man, Chiara

    Journal of diabetes science and technology

    2021  Volume 16, Issue 5, Page(s) 1270–1298

    Abstract: Several models have been proposed to describe the glucose system at whole-body, organ/tissue and cellular level, designed to measure non-accessible parameters (minimal models), to simulate system behavior and run in silico clinical trials (maximal models) ...

    Abstract Several models have been proposed to describe the glucose system at whole-body, organ/tissue and cellular level, designed to measure non-accessible parameters (minimal models), to simulate system behavior and run in silico clinical trials (maximal models). Here, we will review the authors' work, by putting it into a concise historical background. We will discuss first the parametric portrait provided by the
    MeSH term(s) Algorithms ; Blood Glucose/metabolism ; Computer Simulation ; Diabetes Mellitus, Type 2 ; Glucose/metabolism ; Humans ; Insulin ; Insulin Resistance/physiology ; Models, Biological
    Chemical Substances Blood Glucose ; Insulin ; Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2021-05-25
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-2968
    ISSN (online) 1932-2968
    DOI 10.1177/19322968211015268
    Database MEDical Literature Analysis and Retrieval System OnLINE

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

    Cobelli, Claudio / Dalla Man, Chiara

    Journal of diabetes science and technology

    2021  Volume 16, Issue 5, Page(s) 1346–1347

    MeSH term(s) Glucose ; Glucose Tolerance Test ; Humans ; Insulin
    Chemical Substances Insulin ; Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2021-11-29
    Publishing country United States
    Document type Letter ; Research Support, Non-U.S. Gov't ; Comment
    ISSN 1932-2968
    ISSN (online) 1932-2968
    DOI 10.1177/19322968211060069
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Closed-form expressions and nonparametric estimation of COVID-19 infection rate.

    Bisiacco, Mauro / Pillonetto, Gianluigi / Cobelli, Claudio

    Automatica : the journal of IFAC, the International Federation of Automatic Control

    2022  Volume 140, Page(s) 110265

    Abstract: Quantitative assessment of the infection rate of a virus is key to monitor the evolution of an epidemic. However, such variable is not accessible to direct measurement and its estimation requires the solution of a difficult inverse problem. In particular, ...

    Abstract Quantitative assessment of the infection rate of a virus is key to monitor the evolution of an epidemic. However, such variable is not accessible to direct measurement and its estimation requires the solution of a difficult inverse problem. In particular, being the result not only of biological but also of social factors, the transmission dynamics can vary significantly in time. This makes questionable the use of parametric models which could be unable to capture their full complexity. In this paper we exploit compartmental models which include important COVID-19 peculiarities (like the presence of asymptomatic individuals) and allow the infection rate to assume any continuous-time profile. We show that these models are
    Language English
    Publishing date 2022-04-02
    Publishing country England
    Document type Journal Article
    ISSN 0005-1098
    ISSN 0005-1098
    DOI 10.1016/j.automatica.2022.110265
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A software interface for in silico testing of type 2 diabetes treatments.

    Visentin, Roberto / Cobelli, Claudio / Dalla Man, Chiara

    Computer methods and programs in biomedicine

    2022  Volume 223, Page(s) 106973

    Abstract: Background and objective: The increasing incidence of diabetes continuously stimulates the research on new antidiabetic drugs. Computer simulation can save time and costs, alleviating the need of animal trials and providing useful information for ... ...

    Abstract Background and objective: The increasing incidence of diabetes continuously stimulates the research on new antidiabetic drugs. Computer simulation can save time and costs, alleviating the need of animal trials and providing useful information for optimal experiment design and drug dosing. We recently presented a type 2 diabetes (T2D) simulator as tool for in silico testing of new molecules and guiding treatment optimization. Here we present a user-friendly interface aimed to increase the usability of the simulator.
    Method: The simulator, based on a large-scale glucose, insulin, and C-peptide model and equipped with 100 virtual subjects well describing system dynamics in a real T2D population, is extended to incorporate pharmacokinetics/pharmacodynamics (PK/PD) of a drug of interest. A graphical interface is developed on top of the simulator, allowing an easy design of in silico experiments: specifically, it is possible to select the population size to test, design the experiment (crossover or parallel), its duration and the sampling grid, choose glucose and insulin doses, and define treatment PK/PD and dose administered. The simulator also provides the outcome metrics requested by the user, and performs statistical comparisons among treatments and/or placebo.
    Results: To illustrate the potential of the simulator, we provided a case study using metformin and liraglutide. Literature-based PK/PD models of metformin and liraglutide have been incorporated in the simulator, by modulating key drug-sensitive model parameters. An in silico placebo-controlled trial has been done by simulating a three-arm meal tolerance test with subjects receiving placebo, metformin 850 mg, liraglutide 1.80 mg, respectively. The obtained results are in agreement with the clinical evidences, in terms of main glucose, insulin, and C-peptide outcome metrics.
    Conclusions: We developed a user-friendly software interface for the T2D simulator to support the design and test of new antidiabetic drugs and treatments. This increases the simulator usability, making it suitable also for users who have low experience with computer programming.
    MeSH term(s) Blood Glucose ; C-Peptide/therapeutic use ; Computer Simulation ; Diabetes Mellitus, Type 2/drug therapy ; Humans ; Hypoglycemic Agents/pharmacology ; Hypoglycemic Agents/therapeutic use ; Insulin/therapeutic use ; Liraglutide/pharmacology ; Liraglutide/therapeutic use ; Metformin/therapeutic use ; Software
    Chemical Substances Blood Glucose ; C-Peptide ; Hypoglycemic Agents ; Insulin ; Liraglutide (839I73S42A) ; Metformin (9100L32L2N)
    Language English
    Publishing date 2022-06-24
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2022.106973
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book: Introduction to modeling in physiology and medicine

    Cobelli, Claudio / Carson, Ewart R.

    (Academic Press series in biomedical engineering)

    2008  

    Author's details Claudio Cobelli and Ewart Carson
    Series title Academic Press series in biomedical engineering
    Keywords Physiology/Mathematical models ; Medicine/Mathematical models
    Subject code 571.015118
    Language English
    Size XII, 324 S. : Ill., graph. Darst., 24cm
    Edition 1. ed.
    Publisher Elsevier Acad. Press
    Publishing place Amsterdam u.a.
    Publishing country Netherlands
    Document type Book
    HBZ-ID HT015386039
    ISBN 0-12-160240-0 ; 978-0-12-160240-6
    Database Catalogue ZB MED Medicine, Health

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