🚀 The REALM Academy Training is officially at full capacity — thank you for the incredible interest! Due to high demand, a waiting list is now open for those who would still like to join this in-person training on trustworthy AI in healthcare 👇 🔬 Meet your trainers: Philippe Lambin, MD, Prof, PhD Exploring how in silico trials can support the clinical validation of AI and strengthen evidence for its safe use. Mahmoud Ibrahim Presenting the potential of synthetic data for advanced model evaluation and unlocking new possibilities for AI testing. 📅 19 June 2026 📍 Brussels, Belgium 👉 Join the waiting list: https://lnkd.in/dqKskk9Q
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Real-world-data Enabled Assessment for heaLth regulatory decision-Making
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REALM_EU reposted this
🤝 REALM_EU × SurikaS: Advancing #trustworthy #AI through structured impact assessment 🔷 Within the REALM project, #SurikaS supports project demonstrators in maturing their solutions from a #risk, #ethics, and #impact perspective — turning trustworthy #AI principles into practical assessment steps. 🔍 What this looks like in practice REALM demonstrators are invited to #share relevant technical and project #documentation (e.g., architecture descriptions, data sources, model details, and governance processes) through a structured request process. Based on the material received, #SurikaS and partners perform an initial #assessment using #ImpactRadar in combination with the SurikaS framework, followed by an iterative feedback cycle. 🔁 From assessment to #improvement The goal is not a one-off evaluation, but #progressive strengthening of demonstrators’ solutions — with each iteration helping address key principles such as: 👉 #Bias & fairness 👉 #Transparency 👉 #Explainability 🔶 By combining #ImpactRadar’s analytical capabilities with SurikaS’s risk-oriented assessment approach, REALM supports demonstrators in evolving toward more #robust, #accountable, and #trustworthy AI systems — aligned with European values and policy expectations. 🔗 https://lnkd.in/eYqP7T7N 🔗 https://realm-ai.eu/ #REALMproject #SurikaS #ImpactRadar #TrustworthyAI #AIethics #AIgovernance #HorizonEurope #ResponsibleInnovation
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REALM_EU reposted this
How can regulators safely use real-world and synthetic data in medicine approval processes? In our latest video, Claus Møldrup from the Lægemiddelstyrelsen (Danish Medicines Agency) explains why these new data sources could become valuable complements to clinical trials while also highlighting the importance of transparency, reliability, and systematic data collection. 👉 For regulators, trust in the data is crucial before approving any changes, as patient safety is always the highest priority.
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What does it take to build transparent, high-quality AI in healthcare? Join us at the REALM Academy Training and explore the tools and methods behind trustworthy AI 👇 🔬 Meet your trainers: Chang Sun Assistant Professor in Health AI at Maastricht University and leader of the Real-world Data and Synthetic Data Repository work package in REALM. Her research focuses on generative AI, health data sharing, and privacy-preserving data analysis. Ankur Lohachab Postdoctoral researcher at Maastricht University Department of Advanced Computing Sciences (DACS) | Institute of Data Science. Ankur will demonstrate how blockchain-enabled model cards can enhance transparency, traceability, and trust in AI systems. Together, they bring insights into the foundations of robust and reliable AI in clinical practice. 📅 19 June 2026 📍 Brussels, Belgium 👉 Discover the programme & secure your spot: https://lnkd.in/dqKskk9Q
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🚀 How can we navigate regulatory complexity and bring safe AI into clinical practice? Join us at the REALM Academy Training and learn from experts shaping the future of AI in healthcare 👇 🔬 Meet your trainers: Prof. Michel Dumontier The REALM coordinator and a distinguished professor at Maastricht University. Prof. Dumoniter will provide a strategic overview of the REALM project and its vision for enabling trustworthy, real-world AI in healthcare. Dominika Harasimiuk, PhD Expert in the legal and political aspects of digital technologies in the EU and Ethical, Legal & Societal Framework Lead in REALM. She will guide participants through the evolving regulatory landscape, including the MDR, IVDR, and the AI Act, and explain what these regulations mean for AI-based medical devices. 📅 19 June 2026 📍 Brussels, Belgium 👉 Discover the programme & secure your spot: https://lnkd.in/dqKskk9Q
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REALM_EU reposted this
The programme for the REALM Academy training “How to realize safe and effective AI in the clinical practice” is now available online: https://lnkd.in/eqSMTy-p On 19 June 2026, the REALM Academy will bring together AI-based Medical Device Software manufacturers, notified bodies, health technology assessors, regulatory experts, regulators and clinicians in Brussels for a one-day training dedicated to the safe, effective, and trustworthy deployment of AI in clinical practice. The training will provide practical insights into key topics such as regulatory readiness, model evaluation, uncertainty quantification, data quality, model cards, blockchain-enabled traceability, in silico validation, synthetic data, and automated model performance monitoring. I am happy to contribute to this training as one of the lecturers and to support the exchange of knowledge between technology developers, clinical experts, and regulatory stakeholders working towards responsible AI adoption in healthcare. Registrations are free, and are now open via the event website: https://lnkd.in/eVBbKHwR I warmly invite everyone working on AI-based medical device software, regulatory science, health technology assessment, or trustworthy AI in healthcare to join us in Brussels. #REALM #MedicalAI #TrustworthyAI #RegulatoryScience #MedicalDeviceSoftware #AIinHealthcare #ClinicalAI #VITO @VITOBelgium
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🟢 How can we make AI safe and effective in clinical practice? Join us at the REALM Academy Training and learn from experts who are shaping the evaluation of AI-enhanced medical device software. 🔬 Meet your trainers from VITO: Bart Elen – Principal Deep Learning Research Scientist Leading research on making AI reliable and trustworthy in clinical practice, with extensive experience across major EU initiatives such as REALM, NoBoCap Project, TEF-HEALTH, and Vivaldy. Rebekka Van Hoof – Postdoctoral Researcher A passionate researcher working to make healthcare more personal, accurate, and accessible. Rebekka brings a strong background in extracellular vesicle analysis and mutation detection. Together, they combine deep technical expertise with a shared commitment to translating AI into safe, real-world healthcare solutions. 📅 19 June 2026 📍 Brussels, Belgium 👉 Discover the full programme for the day & secure your spot: https://lnkd.in/dqKskk9Q
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REALM_EU reposted this
Excited to be speaking at the Building Digital Twin International Congress 2026, where I’ll dive into something I care deeply about: how we actually make cross-domain digital twins work at scale across Europe. From HPC infrastructures to human digital twins and beyond, the real challenge (and opportunity) is connecting domains, aligning standards, and building systems that don’t just work in isolation—but together, not competing for (scarce) resources but orchestrated together for optimal performance. If you’re curious about the intersection of AI, regulation, and large-scale digital twin deployment, this should be a fun one. Grateful for the invitation and looking forward to the discussions! More info: https://lnkd.in/e4zREm8Q Tickets: https://lnkd.in/ezQQDJB8 #DigitalTwins #HPC #AI #VITO #EuropeanInnovation #DataSpaces #HealthTech #FutureOfHealthcare #TechForGood #AIRegulation #DigitalTransformation #CrossDomain #BDTIC2026
We are pleased to welcome Gokhan Ertaylan as a speaker at the Building Digital Twin International Congress 2026. Gokhan Ertaylan will share perspectives on HPC infrastructures and their role in scaling digital twin applications, offering insights into the technological foundations needed to support advanced and high-impact digital twin systems. His work on digital twins of humans focuses on creating virtual models that can simulate and predict health outcomes, thereby supporting improved prevention, detection, and treatment strategies. In parallel, his team works on the development of regulatory frameworks for medical and AI-driven software, with the aim of ensuring transparency, standardisation, safety, and efficacy for all stakeholders. He is also deeply interested in extending the potential of digital twinning beyond healthcare to other domains, contributing to broader discussions on the future of digital twin applications. We look forward to his contribution at BDTIC 2026. Find more information here: https://lnkd.in/e4zREm8Q Book your tickets directly here: https://lnkd.in/ezQQDJB8
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📢 How can we make AI safe and effective in clinical practice? Join the REALM Academy training on “How to realize safe and effective AI in the clinical practice”, a one-day session bringing together key stakeholders to explore practical approaches for trustworthy medical AI. 🗓️ 19 June 2026 📍 Brussels, Belgium From evaluation and validation to regulatory readiness, this training covers the essentials for deploying AI in healthcare. Whether you're developing, assessing, or implementing AI-based medical software, this training provides practical insights and tools to support the deployment of robust, compliant, and trustworthy AI in clinical settings. Check out the agenda and register to attend 🔗 https://lnkd.in/dqKskk9Q Bart Elen Rebekka Van Hoof Gokhan Ertaylan Michel Dumontier Chang Sun Mahmoud Ibrahim Philippe Lambin, MD, Prof, PhD Ankur Lohachab Dominika Harasimiuk, PhD
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🔵 Last week in Brussels, the REALM Academy workshop “From Data Federation to Medical AI Model Evaluation” brought together experts from across Europe to explore how we can advance trustworthy AI in healthcare. A key highlight was the live demonstration of the REALM platform by Comunicare Solutions. The discussions reinforced the importance of collaboration across stakeholders to enable safe, effective, and regulation-ready AI medical device software solutions in clinical practice. Missed the workshop? You can read more here: https://lnkd.in/dXHD5Ywj 📢 Applications are now open for the next REALM Academy training on “How to realize safe and effective AI in clinical practice”: https://lnkd.in/dqKskk9Q
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