{"id":842,"date":"2016-09-23T05:28:40","date_gmt":"2016-09-23T05:28:40","guid":{"rendered":"http:\/\/tecnodiabetes.ai2.upv.es\/index.php\/pancreas-artificial\/?lang=en"},"modified":"2025-08-16T00:23:30","modified_gmt":"2025-08-15T22:23:30","slug":"pancreas-artificial","status":"publish","type":"page","link":"https:\/\/tecnodiabetes.ai2.upv.es\/index.php\/pancreas-artificial\/?lang=en","title":{"rendered":"SAFE-AP"},"content":{"rendered":"

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PROJECTS<\/span><\/h4>\n

SAFE-AP<\/h3>\n

NEW METHODS FOR AN EFFICIENT AND SAFE DOMICILIARY ARTIFICIAL PANCREAS IN TYPE 1 DIABETES<\/span>
<\/p>\n

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Administrative Data<\/h4>\n<\/p>\n

Project reference:<\/strong> DPI2013-46982-C2-1-R
Title:<\/strong> New methods for an efficient and safe domiciliary artificial pancreas in type 1 diabetes – SAFE-AP
<\/span>Participating centers:<\/strong> Coordinated project
<\/span> Subproject 1:<\/strong> Universitat Polit\u00e8cnica de Val\u00e8ncia (coordinator)
<\/span> Subproject 2:<\/strong> Universitat de Girona
<\/span>Principal Investigator:<\/strong> Jorge Bondia (coordinator); Josep Veh\u00ed
Funded by:<\/strong> Ministerio de Econom\u00eda y Competitividad
<\/span>Duration:<\/strong> 01\/01\/2014-30\/06\/2018
<\/span>Funding awarded:<\/strong> Subproject 1: \u20ac219,010.00
<\/span>Subproject 2: \u20ac200,860.00<\/span><\/span><\/p>\n

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Project Summary<\/h4>\n

The artificial pancreas, or automatic glucose control, is a technology that major companies in the diabetes field are investing in, as it is expected to revolutionize the treatment of type 1 diabetes, freeing patients from the current decision-making burden and improving metabolic control. To date, several artificial pancreas prototypes have been validated in controlled hospital studies. However, home use of the artificial pancreas requires, in addition to an efficient controller capable of handling everyday conditions, safety mechanisms that allow its use without additional risk to the patient:
(a) Fault tolerance in instrumentation and communication between devices.
(b) Patient monitoring that allows the detection\/prediction of risk situations, beyond hypoglycemia, such as abnormal patient states and controller malfunction.
(c) Robustness and effectiveness of the controller against disturbances such as typical intakes in the patient’s diet, exercise, stress and concomitant diseases.
(d) Optimization of controller tuning in clinical practice to address particular metabolic characteristics, transient situations and metabolic changes due to disease progression.
Addressing these issues is essential for a device like the artificial pancreas to be approved by regulatory agencies and reach the market, as well as for its acceptance by patients and medical staff, supported by tools that facilitate its management and oversight.
These challenges constitute the main objective of this project: the development of new methods and tools for the long-term efficiency and safety of the home artificial pancreas. This is reflected in the following specific objectives: <\/p>\n

Objective 1.<\/strong> Develop and validate methods for detecting and diagnosing instrumentation failures. These will include obstructions in insulin infusion, loss of signal from the continuous glucose monitor, failed sensors, calibration errors, and more. <\/p>\n

Objective 2.<\/strong> Develop and validate methods to improve the accuracy of continuous glucose monitors and mitigate significant errors in glucose readings or biases due to metabolic states related to hemodynamic changes such as exercise and stress, present in a patient’s daily life.<\/p>\n

Objective 3.<\/strong> Develop methods for risk assessment. This will address the prediction of severe hypoglycemia and hyperglycemia, the detection of abnormal or altered patient states outside the controller’s operating range, and controller malfunction or detuning due to metabolic changes. <\/p>\n

Objective 4.<\/strong> Develop and validate control algorithms for fault tolerance and robustness to disturbances in the patient’s daily life.<\/p>\n

Objective 5.<\/strong> To design and implement a smartphone-based artificial pancreas for home use that integrates the above methods for efficiency and safety over the life of the system.<\/p>\n

Objective 6.<\/strong> Design and implement a remote monitoring system to optimize performance and safety. The system will serve as a knowledge-generating tool, utilizing big data mining techniques to assist medical staff in decision-making. <\/p>\n

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Researchers<\/h4>\n

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Universitat Polit\u00e8cnica de Val\u00e8ncia<\/h6>\n
    \n
  • Jorge Bondia (coordinator)<\/li>\n
  • Jos\u00e9 Luis D\u00edez<\/li>\n
  • Sergio Romero<\/li>\n
  • Beatriz Ricarte<\/li>\n
  • Juan Fernando Mart\u00edn<\/li>\n
  • Vanessa Moscard\u00f3<\/li>\n
  • Eslam Montaser<\/li>\n
  • Daniel Ru\u00edz<\/li>\n<\/ul>\n

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    Universitat de Girona<\/h6>\n
      \n
    • Josep Veh\u00ed (co-PI)<\/li>\n
    • Remei Calm<\/li>\n
    • Anna C. Comas<\/li>\n
    • Charrise Raamkimsoon<\/li>\n
    • Silvia Oviedo<\/li>\n
    • Lyvia Regina Biagi Silva Bertachi<\/li>\n
    • Aleix Beneyto<\/li>\n
    • Arthur Hirata Bertachi<\/li>\n<\/ul>\n
      Hospital Cl\u00ednico de Valencia<\/h6>\n<\/p>\n
        \n
      • F. Javier Ampudia<\/li>\n<\/ul>\n

        [\/et_pb_text][\/et_pb_column][et_pb_column type=\u00bb1_3″ _builder_version=\u00bb4.16″ custom_padding=\u00bb|||\u00bb global_colors_info=\u00bb{}\u00bb custom_padding__hover=\u00bb|||\u00bb][et_pb_text admin_label=\u00bbTexto\u00bb _builder_version=\u00bb4.27.4″ background_size=\u00bbinitial\u00bb background_position=\u00bbtop_left\u00bb background_repeat=\u00bbrepeat\u00bb use_border_color=\u00bboff\u00bb border_style=\u00bbsolid\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n

        Hospital Francesc de Borja de Gand\u00eda<\/h6>\n
          \n
        • Paolo Rossetti<\/li>\n<\/ul>\n
          \nHospital Cl\u00ednic de Barcelona<\/h6>\n
            \n
          • Ignacio Conget<\/li>\n
          • Marga Gim\u00e9nez<\/li>\n
          • Carmen Quir\u00f3s<\/li>\n<\/ul>\n

            \nImperial College London<\/h6>\n
              \n
            • Pau Herrero<\/li>\n
            • Pantelis Georgiou<\/li>\n<\/ul>\n

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