DEXCOM Chair in the Application of Artificial Intelligence in Diabetes and Associated Pathologies

DEXCOM Chair in the Application of Artificial Intelligence in Diabetes and Associated Pathologies (2023-2026). Reference: TSI-100932-2023-1. Funded by the Ministry of Digital Transformation and Civil Service. – 899.999,78€. P.I. Josep Vehí.

SUMMARY:

The mission of the DEXCOM-UdG Chair is to lead the integration of Artificial Intelligence (AI) in the field of health, with a special focus on diabetes, to significantly improve the quality of life of patients. Through advanced research, professional training and knowledge dissemination, we seek to develop innovative solutions that optimize the diagnosis, treatment and management of diabetes. This mission is framed within the National Strategy for Artificial Intelligence (ENIA) and the España Digital 2026 plan, promoting public-private collaboration and the development of digital capabilities.

The objective of the DEXCOM-UdG Chair is to become a global reference in the application of Artificial Intelligence in medicine, setting new standards in the treatment of diabetes and other chronic pathologies. We aspire to create an innovation ecosystem where technology and health converge to offer personalized and effective solutions, accessible to all.

TEAM:

MICELAB:

MICELAB

  • Josep Vehí Casellas
  • Remei Calm i Puig
  • Iván Contreras Fernández-Dávila
  • Preeti Verma
  • Ángela Toledo Sabater
  • Daniel Valdés Izquierdo
  • Jesús Antonio Luque Urrutia
  • Charrisse Mary Ramkissoon
 VICOROB

  • Xavier Lladó Bardera
  • Rafael García Campos
  • Robert Martí Marly
  • Solanges Micaela Díaz Rivas

GILAB

  • Immaculada Boada Oliveras
  • Marta Fort Masdevall
  • Lluis Parlerm Tur
  • Clara Constans Badosa
  • Sergio Chinchilla Córdoba
  • David Quintana Conejero
 Grupo de Nutrición Eumatabolismo y Salud (IDIBGI)

  • Yenny Leal Moncada
  • José Manuel Fernández-Real Lemos
  • Basma El-Emrani

DEXCOM:

  • Stefania Guerra
  • Iñigo González Iglesias
  • Raquel García Gordon

RESEARCH OUTCOMES:

  • Empower patients with diabetes (type 1 and type 2) to achieve greater autonomy and improved quality of life through personalised, AI-driven care.
  • Develop and integrate innovative artificial intelligence tools (e.g., real-time glycaemic control, hypoglycaemia forecasting, computer-vision monitoring) into clinical practice.
  • Build a collaborative ecosystem (academia, industry, health professionals) to drive research, education, and digital-health transformation in diabetes care.
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