2nd International Summer School on AI for Diabetes Management – Shaping the Future of Healthcare – July 13-17

Date of the event: 13-17 July 2026

Discover how the UdG–Dexcom Chair is bringing together global PhD students, master’s researchers, and world-renowned clinical experts to revolutionize diabetes care through artificial intelligence.

Event Dates
JULY 13–17, 2026
📍 University of Girona, Spain

The intersection of artificial intelligence and clinical medicine is shifting from an experimental frontier to an active, daily reality. Nowhere is this transformation more evident than in the field of endocrinology, where data-driven technologies are fundamentally rewriting how chronic conditions are monitored, analyzed, and managed. To accelerate this innovation, the UdG–Dexcom Chair for Advancing AI use in Clinical Practice has announced the 2nd International Summer School on AI for Diabetes Management, taking place from July 13–17, 2026, at the University of Girona, Spain.

Designed as an intensive, one-week immersive experience, this annual event serves a dual purpose: equipping the next generation of medical and technical researchers with cutting-edge skills, and fostering international network building between domestic and global research communities.

   “It’s exciting that we start to have these meetings, bringing the community together.”


— Dr. Marc Breton, Associate Director of the University of Virginia Center for Diabetes Technology

Who is This Event For?

The program is specifically tailored for PhD and Master’s students who are actively working on or interested in applying artificial intelligence principles to healthcare. Ideal participants include those specializing in computer science, biomedical engineering, or medicine, with a keen focus on developing medical devices, advanced sensors, mobile applications, and intelligent algorithms to monitor glycemic levels and optimize personalized patient outcomes.

A Deep Dive Curriculum: What You Will Learn

The continuous evolution of digital therapeutics requires multidisciplinary mastery. Over five intensive days, participants will transition from core clinical theories to complex technical workshops, covering a robust curriculum:

  • Continuous Glucose Monitoring (CGM) Forecasting: Designing and implementing AI-driven time-series models capable of predicting adverse glycemic events before they occur.
  • Automated Insulin Regulation: Using intelligent AI controllers to automatically compute, adjust, and regulate real-time insulin delivery systems based on prospective blood glucose trends.
  • Computer Vision in Healthcare: Training algorithms to autonomously scan retinal images and detect early signs of diabetic retinopathy and other systemic microvascular complications.
  • Large Language Models (LLMs) in Clinical Care: Leveraging generative AI to build personalized, patient-centric decision support systems that translate vast datasets into actionable behavioral insights.
  • Bioethics, Bias, and Security: Navigating critical contemporary debates surrounding medical data privacy, algorithmic fairness, transparency, and preventing dataset biases in clinical models.

A Star-Studded Global Faculty

Attendees will have the unique privilege of presenting their research and engaging in direct dialogue with leading authorities in digital health technology. The 2026 speaker lineup features specialists from elite institutions across the globe, including:

  • Dr. Monika Reddy (Imperial College London, UK) – Presenting clinical workflows and medical background.
  • Dr. Marc Breton (University of Virginia, USA) – Unpacking the deployment and evaluation of clinical AI systems.
  • Dr. Amit Kumar Dey (International Diabetes Federation) – Discussing global perspectives and operational challenges.
  • Dr. Risa M. Wolf (Johns Hopkins University, USA) – Demonstrating screening validation models for diabetic retinopathy.
  • Dr. Aisha Sobey & Dr. Amy Gaeta (University of Cambridge, UK) – Examining safety, fairness, and accountability frameworks.

ℹ️ Logistics & Practical Details

Venue: Research Institute on Informatics and Applications (P4 Building), Montilivi Campus, University of Girona, Spain.

Registration Fee: €300. This highly subsidized rate includes full access to all academic coordination, daily lunches, coffee breaks, organized networking activities, and a formal farewell dinner.

Accommodation: Specially secured packages and reduced rates are available for participants at the Hotel BestPrice Girona, the UdG Montilivi Campus Residence, and the Hotel Peninsular Girona.

Join the Digital Health Movement

With an emphasis on turning academic prototypes into real-world practice, the 2nd International Summer School on AI for Diabetes Management is more than a series of lectures—it is a launchpad for collaborative healthcare solutions. Applications for the 2026 cohort are officially open, providing an unmissable window for young scientists to establish themselves at the absolute vanguard of medical AI.

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