1st 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

22-26 September 2025

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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 and master students

Are you ready to apply?

Who is this summer school for?

Expected attendants are PhD and master 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 is 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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Explainable AI

Apply XAI techniques to make the results of AI models understandable and interpretable by humans.

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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

5-day immersive course that combines theory and practical training.
Please note that the program is tentative and details may change.

Fundamental Concepts

Objective: Introduce core concepts of diabetes management and AI applications in healthcare.

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13:30–14:00 Welcome
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14:00–15:00  Expert Talk: Monika Reddy
Clinical Overview of Diabetes for Technology and Health Researchers
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15:00–15:30 Coffee Break
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15:30–17:00 Expert Talk: Omer Mujahid

AI & Diabetes Management: An Introduction

Predictive Models and Commercial Applications

Objective: Learn about AI models to predict glycemic events and commercial AI applications.

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09:00–10:30  Expert Talk: Mario Muñoz
From Data to Insight: AI Techniques for Glucose Forecasting
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10:30–11:00 Coffee Break
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11:00–12:30 Workshop

AI for Predicting Hyperglycemia: Models and Applications

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12:30–13:30 Lunch
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13:30–15:00 Expert Talk: Industry Expert

The Potential Use of Generative AI to Summarize Patient Data using Dexcom Clarity Reports

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15:00–15:30 Coffee Break
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15:30–17:00 Workshop

Building Interpretable Models: Practical Techniques in Explainable AI

Computer Vision and Digital Twins

Objective: Focus on computer vision for diagnosing diabetic complications and digital twins for simulations.

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09:00–10:30 Expert Talk: Mariano Cabezas

State-of-the-Art Computer Vision Techniques for Detecting Diabetic Complications

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10:30–11:00 Coffee Break
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11:00–12:30 Workshop

Computer Vision Techniques for Diabetic Foot Assessment

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12:30–13:30 Lunch
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13:30–15:00 Expert Talk: Iván Contreras

Advances in AI for Diabetes Management and Clinical Decision Support

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15:00–15:30 Coffee Break
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15:30–17:00 Workshop

T1D Simulator and Digital Twins for Personalized Care

Advancing Responsible and Personalized AI in Healthcare

Objective: Examine how responsible AI development principles can be integrated with advanced machine learning techniques.

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09:00–10:30 Expert Talk: Alexandra Lilló
Responsible AI: Ethical Considerations for Developers
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10:30–11:00 Coffee Break
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11:00–12:30 Workshop
Embedding Ethics in AI: What to Consider at Every Stage of Design
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12:30–13:30 Lunch
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13:30–15:00 Expert Talk: Ken Li

Toward Personalized Dual-Hormone Control in Diabetes: A Reinforcement Learning Approach

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15:00–15:30 Coffee Break
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15:30–17:00 Workshop
Using AI for Insulin Dosing Adjustments: Tools and Strategies
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19:00–21:00 Farewell Dinner

Regulated Devices and Personalized Management

Objective: Explore how AI can be incorporate into regulated clinical tools and personalized solutions powered by smartphones and wearables.

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09:00–10:30 Expert Talk 1: Marc Breton

Integration of Data Driven Methods in Regulated Medical Devices: Pushing the Bounds of Classical Insulin Dosing

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10:30–11:00 Coffee Break
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11:00–12:30 Expert Talk 2: Stavroula Mougiakakou

Empowering Diabetes Self-Management: The Transformative Role of AI in the Age of Smartphones and Wearables

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12:30–13:00 Closing + Light Snacks and Refreshments

Invited Speakers

Marc
Breton

University of Virginia, USA

Monika
Reddy

Imperial College London, UK

Stavroula Mougiokakou

University of Bern, Switzerland

Mario
Muñoz

Universidad Carlos III de Madrid, Spain

Ken
Li

UCL Institute of Health Informatics, UK

Mariano
Cabezas

University of Sydney, Australia

Alexandra
Lillo

Catalan Observatory for Ethics in Artificial Intelligence, Spain

Industry
Expert

Dexcom, Inc

Local Organizing Committee

Practical Information

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22–26 September, 2025
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How to arrive: Preferred transportation is by bus lines 8 or 11 (bus stop: Carrer Pic de Peguera)
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What is covered by the program?

Registration fee, accommodation, lunch, coffee breaks, and farewell dinner.

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What is not covered by the program?

Travel costs and arrangements are not covered by the program. Travel arrangements must be made separately. The organizers will not manage travel arrangements for participants of the summer school.

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How to apply?

After you apply, you will receive a notification. If all the spots are filled, you will be put on a waiting list and notified of any changes. If you have any questions, please email us at summerschoolcatedra@udg.edu.

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Organizers

In collaboration with

Apply here!

Fill out this form to apply to the 1st International Summer School on AI for Diabetes Management.

We will inform you of your acceptance by July 31st 2025.

If all spots are filled, you will be put on a waiting list and notified of any changes.

⚠️ Spaces are limited — secure your spot early!

If you have any doubts or you would like further information, please email us at summerschoolcatedra@udg.edu.

Apply now

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