Universal Concentrator Assisted by Online Recommendation Technology

The Universal Concentrator Assisted by Online Recommendation Technology (DT4) is focused on helping this segment of insulin-dependent patients. DT4 is a system that focuses on preventing hypoglycemia,

Universal Concentrator Assisted by Online Recommendation Technology (2022-2025). Reference: CPP2021-009139. Funded by MICINN – 1.568.129,80€. P.I. Ivan Contreras. Other Participants: Insulcloud S.L.

SUMMARY:

The Universal Concentrator Assisted by Online Recommendation Technology (DT4) is focused on helping this segment of insulin-dependent patients. DT4 is a system that focuses on preventing hypoglycemia, which accelerates the onset of complications and can even lead to coma or death. Furthermore, hypoglycemia is the main cause behind the lack of adherence to treatment, reducing the quality of life and life expectancy of people with diabetes and, in turn, an increasingly difficult burden for healthcare services to assume. DT4 addresses the multiple root causes of the problem by bringing together the expertise and implementing innovative functionalities.

To tackle this development, the teams from the University of Girona and Insulcloud SL contribute their knowledge of algorithms and artificial intelligence, as well as their clinical application and the development of hardware and software systems to create a holistic solution to this problem. 

CPP2100-009139/ founded by MCIN/AEI/10.13039/501100011033 and by the European Union-NextGenerationEU/PRTR

TEAM:

MICELAB:

Research leads:

  • Josep Vehí Casellas
  • Remei Calm i Puig
  • Iván Contreras Fernández-Dávila
 Research Team:

  • Adrià Montoto i Peris
  • Sara Casadesús Anglada
  • Alvis Cabrera Tejera
  • Júlia Soler Boada
  • Ernesto Estremera Toledo
  • David Gómez Lloansi
  • Joel Fernández i Román
  • Raúl Moreno Arroyo

INSULCLOUD:

  • Xoán Valledor Fernández
  • Pablo Eduardo Ojeda Vasco
  • Clara Ruiz de Arcaute Laorga
  • Luis Ruiz-Valdepeñas Martín de Almagro
  • Ángel Sotomayor Vázquez

RESEARCH OUTCOMES:

  • Improvement in the usability and appeal of the Insulcloud 360º System to ensure long-term treatment adherence, leading to a substantial enhancement in glycemic control.
  • Achieve effective prevention of hypoglycemia, reducing risk associated with diabetis in insulin-dependent patients. This includes diminishing the fear of hypoglycemia, thereby improving the quality of life.
  • The Substantial reduction n both macrovascular and microvascular commplications linked to diabetis will play a crucial role in easing the healthcare burden and lowering costs for healthcare systems.
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