Modelado del efecto del ciclo menstrual de una paciente DM1 usando SimBiology

  1. Poveda Perez, Marina 1
  2. Romero-Ante, Juan David 2
  3. Manrique-Cordoba, Juliana 2
  4. Jara-Bravo, Carlos 1
  5. Sabater Navarro, Jose Maria 2
  1. 1 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

  2. 2 Universidad Miguel Hernández de Elche
    info

    Universidad Miguel Hernández de Elche

    Elche, España

    ROR https://ror.org/01azzms13

Revista:
Jornadas de Automática
  1. Cruz Martín, Ana María (coord.)
  2. Arévalo Espejo, V. (coord.)
  3. Fernández Lozano, Juan Jesús (coord.)

ISSN: 3045-4093

Any de publicació: 2024

Número: 45

Tipus: Article

DOI: 10.17979/JA-CEA.2024.45.10883 DIALNET GOOGLE SCHOLAR lock_openAccés obert editor

Resum

Type 1 diabetes mellitus (DM1) is an autoimmune disease that results in insufficient insulin production due to the destructionof beta cells in the pancreas. Various mathematical models, such as the one developed by (Dalla Man et al., 2007) and validated by the FDA, have led to a series of studies that have allowed tailoring treatments for patients with DM1 (Manrique-C ́ordobaet al., 2020), allowing a better understanding and control of the disease. In this study, we propose to address the dynamics oftype 1 patients using the Matlab tool SimBiology, taking advantage of its functionalities for the analysis of dynamical systems and biological responses. The model aims to provide a more complete view of how the different stages of the menstrual cycle can affect their blood glucose levels. The simulation results allow analysis of how the model responds to different situations and highlight SimBiology’s graphical capabilities for simulating biological systems. These results improve the understanding of DM1 and highlight the potential of these tools to optimize treatments.

Referències bibliogràfiques

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Fuente de los datos: Dialnet