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Author: Irene Gebuis

INDICATE Round Table –  Challenges and opportunities of Federated Infrastructures in Medical Research

On 5 March 2026, the hybrid INDICATE Round Table titled “Challenges and opportunities of federated infrastructures in medical research” will take place. The event will bring together leading experts to exchange experiences between EU projects, discuss challenges and lessons learned, and foster networking opportunities. The programme will be moderated by INDICATE Co-PI’s Michel van Genderen and Christian Jung.

The programme will start with welcome remarks from Malte Kelm, Director at the University Hospital Düsseldorf, and John Laffey, Research Chair of the European Society of Intensive Care Medicine. The welcome will be followed by short project pitches from key European initiatives, including:

Following the pitches, a panel discussion will explore the main challenges, lessons learned, and opportunities for federated infrastructures with Patrick Rockenschaub, including a presentation of Genome of Europe by Helen Ray-Jones and Jeroen van Rooij.

The round table will conclude with reflections on strengthening collaboration across Europe, fostering dialogue among a select group of researchers, clinicians, and project leaders working at the forefront of data-driven medical research.

Find a detailed overview of the programme below

11.00 – 11.15Welcome by Malte Kelm, Director at the University Hospital Düsseldorf,
and John Laffey, Research Chair of the European Society of Intensive
Care Medicine (ESICM). 

Moderated by Christian Jung & Michel van Genderen (INDICATE PI’s)
11.15 – 12.15Presentations of all projects
INDICATE – presented by Jan van den Brand (Technical Lead INDICATE)
NUM Rapid – presented by Falk von Dincklage
Eucare – presented by Björn-Erik Ole Jensen
Irish Critical Care Clinical Trials Network – presented by Bairbre McNicholas
Num SN CritCare – presented by Patrick Meybohm
12.15 – 12.30Coffee break
12.30 – 13.45Intro | A summary of the top challenges and lessons learned
by Patrick Rockenschaub

Panel Discussion | Discussion of challenges and lessons learned 

Presentation of Genome of Europe by Helen Ray-Jones and Jeroen van Rooij
13.45 – 14.00Closing – Concluding words by Michel van Genderen (INDICATE PI)

Bert Cappelle

Position: Work Package 4

Who am I and what do I do?

My name is Bert Cappelle. I work as a data engineer at the University Hospital of Ghent (UZ Gent) within the Data Science Institute. My work focuses on enabling and facilitating clinical research by making complex healthcare data accessible and usable for non-technical users, such as clinicians and researchers.

I design and maintain data pipelines, data models, and validation workflows that allow research teams to work with high-quality data without needing deep technical expertise. I am also the technical representative for UZ Gent within the Federated Health Innovation Network (FHIN), which supports federated learning for relevant clinical use cases. In addition, I am leading implementation and maintenance of the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) at UZ Gent.

What am I up to during INDICATE? 

Within INDICATE, I support Mathias Syx, the lead of Work Package 4, in his day-to-day activities. WP4 focuses on the technical infrastructure required to enable secure, compliant, and scalable data sharing across participating organizations.

Together, UZ Gent takes on the product owner role for the components developed within WP4. This involves translating project objectives and stakeholder needs into concrete technical requirements, prioritizing development work, coordinating between technical and non-technical partners, and ensuring that the resulting infrastructure is aligned with real-world hospital environments.

In addition, I act as a WP4 representative in the training and education workgroup, where I help ensure that technical infrastructure, requirements, and design choices are clearly translated into training materials and guidance that are understandable and usable for hospitals and data providers.

What motivates me to be part of INDICATE?

I am motivated by INDICATE’s goal of making secure health data sharing workable in real hospital settings. I enjoy contributing to research by helping make high-quality data more accessible for researchers and clinicians. 

What do I expect to accomplish within INDICATE?

Within INDICATE, I aim to help develop technical infrastructure and guidance that hospitals can realistically use and maintain. I want to contribute to solutions that make it easier for hospitals to participate in secure and federated data-sharing initiatives and to support research activities.

How does my background or expertise contribute to the goals of INDICATE?

My background in data engineering and my experience working in a hospital environment help me connect technical solutions with everyday practice. In addition, my expertise in the OMOP Common Data Model (CDM) allows me to contribute to interoperable and standardized solutions that support clinical research.

Maurizio Cecconi speaks on innovation during the ESICM Intensive Care Innovation conference

During the recent ESICM event, Intensive Care Innovation, Maurizio Cecconi delivered a talk titled “Innovations: what should they mean for Intensive Care.” He explored the role of technological and organizational innovation in shaping the future of intensive care, highlighting clinical impact, implementation, patient value and the INDICATE Project.

Maurizio is a member of the INDICATE External Expert Advisory Board and also participated as a jury member during the INDICATE Hackathon organized taking place before the start of the ESICM Intensive Care Innovation forum. His engagement underlines the strong connection between international expertise, innovation, and the goals of the INDICATE programme.

Maurizio: “What stayed with me most was the quality of the conversations: clinicians, engineers, data scientists, industry, and innovators genuinely sitting at the same table to discuss how innovation, AI, and digital tools can actually improve patient care, not in theory, but in real life, but we need to work together to achieve a full implementation at the bedside. From crisis preparedness to everyday intensive care, from data infrastructure to decision support, one message was clear: innovation only matters if it is actionable and scalable.”

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INDICATE Hackathon: Building the future of European Intensive Care Data

ICU clinicians, engineers, and data scientists from across Europe gathered for the INDICATE Hackathon, exploring how federated ICU data can improve patient care, drive equitable AI, and deliver real-world clinical value. 

Two main challenges guided the teams:

  1.  Equitable AI Model Performance Across Diverse European ICU Populations
  2. Value Proposition & Long-term Sustainability

The morning started with a keynote from Michel van Genderen, INDICATE PI, providing us with valuable insights about federated ICU data across Europe and the role of AI in improving patient care: “Trust is key: the performance of AI models is limited when trained on limited datasets. Research has shown that sociodemographic factors, like a patient’s ethnicity, can affect AI outputs. We must ensure that the AI we build accounts for these factors responsibly.”

After the Use-Case presentation by INDICATE Use Case expert Paul Hilders (Amsterdam UMC) and the challenges presented by Stefan Buijsman (TU Delft) and INDICATE Technical Lead Jan van den Brand (Erasmus MC) the morning hack session got started! The teams worked intensively on the challenges. Mentors supported teams as they explored technical, ethical, regulatory, and clinical dimensions. Over lunch, expert feedback sessions helped teams sharpen and improve their concepts before pitch prep began.

In the afternoon, participants refined their storytelling, and took the stage during the ESICM Intensive Care Innovation, to pitch their solutions to the jury concluding Jan van den Brand, Stefan Buijsman, Hayley Every, Paul Hilders and Maurizio Cecconi.

A big congratulations to the winning team of Challenge 1: Boris Delange, Celia Alvarez Romero, René Schmiedler, Stefan Bartos and Maria Gonzalez Lopez. Their solution was all about how to overcome bias through transparent AI. 

Also a big congratulations to the winning team of Challenge 2: Giovanna Mercurio, John Gardner, Marcel van der Kuil and Colm Coffey. Their solution offered a unique value proposition by enabling a self-sustaining ecosystem in which all stakeholders – from bedside to industry – derive value from shared, privacy-preserving data.

The hackathon was moderated by Yolanda Sanchez and organized by the INDICATE Work Package 5 team. 

A huge thank you to all participants, mentors, and jury members for building the future of responsible, equitable AI in intensive care.

INDICATE HACKATHON – 5 February 2026

Step into the future of Intensive Care innovation by participating in our Hackathon on ICU federated data usage. This dynamic event invites ICU clinicians, engineers, data scientists, and startups from the INDICATE and EIT Health network to co-create a vision for a global, real-time federated data infrastructure. 

Together, we’ll explore how to securely link ICU data across national and EU systems using anonymization techniques and federated learning. While ensuring full compliance with EU regulations and the AI Act. Participants will gain hands-on experience implementing Equitable AI Models Across Diverse European ICU Populations​ and help us build the Value-based proposition of Federated ICU Data Usage, guided by expert mentors. Expect rich cross-pollination of ideas and help shape ethical frameworks for deploying clinical and research algorithms.

Expert speakers


Our first expert speaker Dr. Stefan Buijsman, Associate Professor Responsible AI at TU Delft and member of the INDICATE Ethics Advisory Board, will focus on the first Hackathon topic of Equitable AI Model Performance Across Diverse European ICU Populations.



Paul Hilders, PhD Candidate at Amsterdam UMC, will present the Use Case Virtual digital twin of mechanical ventilation for the Hackathon.

The challenges

Participants will form teams and work intensively over a set period to complete a Problem-Solution Fit Canvas, a tool that facilitates problem analysis and translates it into actionable plans. Through close collaboration, teams will gain a comprehensive understanding of the multi-faceted challenges, which includes technology constraints, regulatory hurdles, resource access, and market demand. This will enable them to conceptualize effective solutions in response to the identified problem. They will also be asked to work on specific outcomes for their chosen challenge:  

  • Topic 1 challenge: Equitable AI Model Performance Across Diverse European ICU Populations 
  • Topic 2 challenge: Value-based Proposition & Long-term Sustainability 

Jury

The four jury members for the hackathon are:

Dr. Michel van Genderen, is ICU Expert and INDICATE Principal Investigator. Michel is an Intensivist and clinical scientist working at the intersection of critical care, data infrastructure, and responsible artificial intelligence.

Prof. Dr. Maurizio Cecconi, is ICU Expert and member of INDICATE External Expert Advisory Board. Maurizio is an anesthesiologist, intensive care specialist, and Chair of Anesthesia and Intensive Care Units at Humanitas Research Hospital in Milan, Italy.

Dr. Stefan Buijsman, is Equitable model and Ethics Expert and Associate Professor at TU Delft. At TU Delft he focuses on explainable AI as a researcher and as managing director of the TU Delft Digital Ethics Centre, a world-leading centre on the translation of ethical values to concrete design requirements. 

Dr. Paul Elbers, is Mechanical Ventilation (Use Case) Expert and Intensivist and Associate Professor of Intensive Care Medicine at Amsterdam UMC. His research is at the crossroads of artificial intelligence and intensive care medicine. 

Use Case – Virtual digital twin of mechanical ventilation  

This use case is dedicated to developing a virtual digital twin for critically ill patients, a process that involves numerous sequential decisions made every hour. This use case is particularly suited for reinforcement learning, which will be employed to determine the optimal treatment choices tailored to the specific conditions of individual patients at any given moment. 

A primary focus will be optimizing mechanical ventilation settings for treating respiratory failure. Crucial to this use case is the leverage of the MIMIC-EU dataset, as referenced in the INDICATE Use Case. The integration of this diverse and extensive dataset is key in customizing treatment decisions for a wide variety of patient profiles, thereby enhancing the generalizability of the developed models. 

Furthermore, supervised machine learning will be utilized to predict and prevent the need for reintubation and to guide clinicians on data collection for improved predictive accuracy. The outcomes of this work will be disseminated through scientific literature and a pre-print on the knowledge platform, facilitating the rapid exchange of best clinical practices across Europe.

Program

08.00 – 08.30Registration & Breakfast
08.30 – 08.40Welcome & Opening Remarks
08.40 – 09.00Keynote: Basics of Federated Data across EU, from AI Models
to sustainability
09.00 – 09.10Use Case presentation: Mechanical Ventilation Digital Twin
09.10 – 09.20Presentation of challenges
09.20 – 09.30Overview of the deliverables
09.30 – 12.00Hack Session: Ideation and Solution building (Mentors available)
12.00 – 13.10Feedback Lunch! 20min for a feedback session with experts and
50 minutes for feedback implementation lunch
13.10 – 13.20Presentation: How to better communicate your idea  
13.20 – 14.15Pitch Prep!
14.15 – 14.30Coffee break
14.30 – 15.50Reintegration with the ESICM Innovation Forum programme
15.50 – 16.50Team Pitches (6 teams – 5 minutes per team + short jury Q&A)
16.50 – 17.20Coffee break and jury deliberation
17.20 – 17.35Awarding Ceremony, Audience Award, Closing Remarks & Next Steps
17.35 – 18.35Reintegration with the ESICM Innovation Forum programme

Join us for this collaborative opportunity to discuss how to better implement the ICU federated data infrastructure on Thursday 5th of February from 8:00hrs to 17:00hrs in Amsterdam. Let’s build the future of ICU data. Secure, smart, and shared.

The Hackathon will be a part of the 2026 ESICM Intensive Care Innovation Forum.

Michel van Genderen appointed Adjunct Professor at Duke University

We are delighted to announce that Michel van Genderen, Principle Investigator (PI) of the INDICATE project, has been appointed Adjunct Professor in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine. In this role, he will focus on the global alignment of responsible AI development and implementation in healthcare.

As PI of INDICATE, Michel is dedicated to ensuring that AI strengthens clinical decision-making in Intensive Care Units (ICUs) while maintaining medical responsibility, trust, and human-centered care.

The INDICATE project addresses critical challenges faced by European ICUs that currently limit data-driven innovation and AI implementation. Despite being data-rich environments, ICU datasets are often small, and the lack of standardized, secure mechanisms for cross-border data sharing restricts AI’s transformative potential in healthcare. INDICATE aims to overcome these barriers by developing a federated ICU data infrastructure, enabling secure, cross-border access to large-scale, diverse datasets to advance patient-centered, AI-enabled care.