2nd International Summer School on AI for Diabetes Management

Organized by the UdG–Dexcom Chair for Advancing AI use in Clinical Practice.

The International Summer School on AI for Diabetes Management is an annual event promoted by the UdG–Dexcom Chair that aims to promote the use of AI in clinical practice—particularly in diabetes management—and encourage networking among research groups in Spain and abroad. The school is organized as an intensive one-week course.

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Date

July 13–17, 2026

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Location

The University of Girona, Spain

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Format

1-week in-person course

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Target Audience:

PhD students

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Registration Fee

300 euros

Participants Testimonials

Direct experiences from our previous edition
Rachel Robles
"Taking notes during the lectures helped me overcome conceptual blocks and clarify my understanding of the topics discussed."

Rachel Robles

Master Student of AI in Medicine at the University of Bern

Marc Breton
"It's exciting that we start to have these meetings, bringing the community together."

Marc Breton

Asscciate Director of the University of Virginia Center for Diabetes Technology

Who is this summer school for?

Expected attendants are PhD students interested in applying AI principles to medicine, including the development of medical devices, sensors, mobile applications, and algorithms for monitoring and managing diabetes.

What will you learn in this summer school?

Discover the key skills and knowledge you will acquire during the summer school.

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Fundamental Concepts

Key concepts of diabetes management and AI applications in healthcare.

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AI Prediction

Learn to develop and apply AI models to predict adverse glycemic events.

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LLMs

Develop LLMs to improve diabetes care through smarter data use and personalized support.

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Computer Vision

Automatically detect and monitor diabetic complications—such as diabetic retinopathy—by analyzing medical images like retinal scans.

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Ethics

Address data privacy, security, fairness, transparency, accountability, biases, and ethical concerns in AI for healthcare.

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AI Controllers

Use AI-informed controllers to automatically regulate insulin delivery in real-time by predicting blood glucose levels and adjusting insulin doses accordingly.

Summer School Program 2025

5-day immersive course that combines theory and practical training.

Introduce core concepts of diabetes management and AI applications in healthcare.
13:30–13:50
Check-In
13:50–14:00
Welcome
14:00–15:00
Expert Talk
Clinical Overview of Diabetes for Technology and Health Researchers
MR
Monika Reddy
15:30–17:00
Expert Talk
AI & Diabetes Management: An Introduction
OM
Omer Mujahid
Learn about AI models to predict glycemic events and commercial AI applications.
09:00–10:30
Expert Talk
From Data to Insight: AI Techniques for Glucose Forecasting
MM
Mario Muñoz
10:30–11:00
Coffee Break
11:00–12:30
Workshop
AI for Predicting Hyperglycemia: Models and Applications
MM
Mario Muñoz
13:30–15:00
Lunch
13:30–15:00
Expert Talk
Transforming Diabetes Care with Generative AI and Dexcom Clarity
CP&CE
Celia Penella & Claudia Eberle
15:00–15:30
Coffee Break
15:30–17:00
Workshop
T1D Simulator and Digital Twins for Personalized Care
OM
Omer Mujahid
Examine how responsible AI development principles can be integrated with advanced machine learning techniques.
09:00 - 10:30
Expert Talk
Responsible AI: Ethical Considerations for Developers
AL
Alexandra Lillo
10:30–11:00
Coffee Break
11:00–12:30
Workshop
Embedding Ethics in AI: What to Consider at Every Stage of Design
AL
Alexandra Lillo
12:30–13:30
Lunch
13:30–15:00
Introduction to LLMs
JM
Joaquim Massana
15:00–15:30
Coffee Break
15:30–17:00
Workshop
Building Fairer Models: Tackling Bias in Machine Learning
JH
Jerónimo Hernández-González
Focus on computer vision for diagnosing diabetic complications and digital twins for simulations.
09:00 - 10:30
Expert Talk
State-of-the-Art Computer Vision Techniques for Detecting Diabetic Complications
XL
Xavier Lladó
10:30–11:00
Coffee Break
11:00–12:30
Workshop
Computer Vision Techniques for Diabetic Foot Assessment
XL
Xavier Lladó
12:30–13:30
Lunch
13:30–15:00
Expert Talk
Personalized Dual-Hormone Control Using Reinforcement Learning
KL
Ken Li
15:00–15:30
Coffee Break
15:30–17:00
Expert Talk
Real-Time AI Decision Support for Glycemic Control in Type 1 Diabetes
GC
Giacomo Cappon
19:00–21:00
Farewell Dinner
Explore how AI can be incorporate into regulated clinical tools and personalized solutions powered by smartphones and wearables.
09:00–10:30
Expert Talk
Integration of Data Driven Methods in Regulated Medical Devices: Pushing the Bounds of Classical Insulin Dosing
MB
Marc Breton
10:30–11:00
Coffee Break
11:00–12:30
Expert Talk
Empowering Diabetes Self-Management: The Transformative Role of AI in the Age of Smartphones and Wearables
SM
Stavroula Mougiakakou
12:30–13:00
Closing + Light Snacks and Refreshments

Academic Staff

Invited Speakers (2025)

Marc Breton

University of Virginia, USA

Monika Reddy

Imperial College London, UK

Stavroula Mougiakakou

University of Bern, Switzerland

Mario Muñoz

Universidad Carlos III de Madrid, Spain

Giacomo Cappon

University of Padova, Italy

Ken Li

UCL Institute of Health Informatics, UK

Alexandra Lillo

Catalan Observatory for Ethics in Artificial Intelligence, Spain

Celia Penella

Dexcom, Inc

Claudia Eberle

University of Fulda, Germany

Local Organizing Committee

Charrise Ramkissoon

Sara Feixas Boschdemont

Practical Information

event
July 13–17, 2026
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Research Institute on Informatics and Applications P4 building, Campus Montilivi, Girona, Spain
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How to arrive: bus lines 8 or 11 (bus stop: Carrer Pic de Peguera)
 
 
 
 
 
 
 
Leaflet | © OpenStreetMap contributors

check_circle What is covered?

The registration fee (300€) covers program coordination, lunch, coffee breaks, group networking event, and farewell dinner.

cancel What is NOT covered?

Travel and accommodation arrangements must be made separately.

send How to apply?

Applications are now open for 2026!

REGISTER HERE

Organizers

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