AI4Talents 2025
On 14 November 2025, the VIDA! The Science Centre in Brno will become a hub for high school students passionate about artificial intelligence.
BioMedAI Project Concludes a Successful Three-Year Mission to Develop Reliable and Explainable AI in Biomedicine
As of October 31, 2025, the BioMedAI project marks the completion of its three-year Horizon Europe–funded mission aimed at bridging clinical practice and computational science to advance explainable and trustworthy artificial intelligence (AI) in biomedicine.
Led by Masaryk University in cooperation with the Masaryk Memorial Cancer Institute, the Medical University of Graz, and the Technical University of Berlin, the project has focused on connecting experts from IT and medicine, building secure infrastructures for sensitive data, and training new professionals in explainable AI for medical and pathological applications.
Among the project’s flagship activities were the annual XAI Summer School and XAI Winter School, which offered participants an intensive program of lectures by leading international experts, including speakers from Google Health and Charité Berlin University Medical Centre, as well as hands-on workshops on digital pathology and AI explainability.
Another key achievement is the development of the LSP-DETR model for cell segmentation in digitized pathological images. The model provides tenfold faster inference compared to existing methods. The project also became an integral part of the European research infrastructure landscape through participation in RI-SCALE (Unlocking RI Potential with Scalable AI and Data), coordinated by Masaryk University.
A recent milestone was the recognition of the BioMedAI multi-centric validation of a prostate cancer screening model as an official EOSC Federation use case, conducted on behalf of BBMRI-ERIC and the ICSC node. The use case will be demonstrated at the EOSC Symposium on November 5, 2025.
🗯️ “Our goal was to ensure that artificial intelligence in medicine is not a black box, but a tool that clinicians can trust, which requires explainability, secure data handling, and close collaboration between technical and clinical teams,”
Petr Holub
project coordinator from the Institute of Computer Science
and the Faculty of Informatics, Masaryk University.
Throughout its duration, BioMedAI has delivered significant outcomes, supporting the responsible implementation of AI in clinical practice. These outcomes include educational programs for researchers, students, and clinicians across Europe, numerous publications and international presentations, and progress toward integrating computational and data capacities for biomedical applications.
With the project’s conclusion, the BioMedAI team is now focusing on the next stage, ensuring the sustainability and long-term impact of the achieved results within the European research infrastructure ecosystem.
