federated-learning

Two Awards to Attend MICCAI 2026 in Strasbourg

Both David Dueñas Gaviria and Adea Nesturi have awarded the 2026 MICCAI Society Registration Grant and the University of Bonn's funding for the Participation in International Conferences, respectively. Both awards will support their attendance at MICCAI 2026 in Strasbourg, where they will present their accepted paper PromptGate.

Invited Talk at Karman Conference on Innovations in non-invasive and computational imaging

I had the pleasure of delivering an invited talk on Foundation Models in Medicine at the Karman Conference on Innovations in non-invasive and computational imaging, RWTH Aachen University. Interested in hearing about our recent work? Come to #MICCAI2026 in Strasbourg MICCAI Society. My team members will present their accepted papers on Active Learning and Multi-modal data!

Our first cohort of the BIGS block course on AI in Medicine

We have just finished our BIGS Block course on AI in Medicine (AiM) with around 15 participants from the BIGS CPS and Neuroscience at the Medical Faculty.

Three Oral Presentations at ISBI in London

Three Oral presentations at the IEEE International Symposium on Biomedical Imaging (ISBI) in London, UK

Organzie the Symposium on AI in Medicine and Food Sciences

Over the past two days, we had the pleasure of hosting our **SANAD symposium on AI in Medicine and Food Sciences** within the framework of the **DAAD Ta’ziz project**, welcoming a delegation from **Tunisia**, **Lebanon**, and **Iraq**.

Invited Keynote at the 12th International Conference on Intelligent Computing and Information Systems (ICICIS) in Cairo, Egypt

I had the pleasure to give a keynote on Leveraging Collective Intelligence for Inclusive Global Healthcare at the 12th International Conference on Intelligent Computing and Information Systems (ICICIS) in Cairo, Egypt. I had the chance to meet and discuss further collaboration with the dean at the Ain Shams University Prof. Dr. Rasha Ismail, Prof. Dr. Hassan Abdalla from East London University, and Prof. Robert Sloan, from University of Illinois Chicago, and Prof. Huan Liu from Arizona Satet University.

Contributed to the GLOHRA’s fact-finding mission to Brussels

I recently had the privilege of joining the Steering Committee of the German Alliance for Global Health Research (GLOHRA) in Brussels for a fact-finding mission from 17–20 November 2025.

Organzie the Summer School on Biomedical Imaging with Deep Learning (BiLD)

We have just wrapped up an inspiring week of the BILD Summer School 2025 in Tunis, and I could not be more grateful for the people and partnerships that made this possible. A heartfelt thank you to the University of Tunis El Manar, represented by the Rector Prof. Moez CHAFRA and his vice rectors, for their warm welcome and strong support of this initiative. Your presence was an honor and an encouragement to all of us

Participated at the AI for Good Global Summit in Geneva, Switzerland

Honored to join an inspiring panel at the WHO EMRO AI Workshop on **Applied Case Studies of AI in Health,** alongside brilliant colleagues working at the intersection of AI, public health, and policy. I shared insights from our work at the University of Bonn on building trustworthy and equitable AI models for medical imaging—especially in global health settings where data diversity and clinical applicability are key challenges. Grateful for the engaging discussion on how we can ensure that AI innovations serve not just high-resource settings, but also strengthen health systems worldwide

Panelist at Applied Case Studies of AI in Health for WHO EMRO Workshop, Egypt

Honored to join an inspiring panel at the WHO EMRO AI Workshop on **Applied Case Studies of AI in Health,** alongside brilliant colleagues working at the intersection of AI, public health, and policy. I shared insights from our work at the University of Bonn on building trustworthy and equitable AI models for medical imaging—especially in global health settings where data diversity and clinical applicability are key challenges. Grateful for the engaging discussion on how we can ensure that AI innovations serve not just high-resource settings, but also strengthen health systems worldwide