New elite master's program
AI in Biomedicine
Professor R眉ckert, what personally motivated you to initiate this new master鈥檚 program?
My daily work in research and teaching played a significant role in motivating me. In recent years, I have repeatedly seen how vast the potential of AI in biomedicine is - and at the same time how challenging it can be to find exceptionally well鈥憈rained students who combine both methodological depth in AI and a genuine understanding of biomedical questions. High鈥憅uality master鈥檚 theses and later doctoral research require precisely this combination.
With the master鈥檚 program AI in Biomedicine, we aim to create a structured framework that integrates competencies from computer science and biomedicine from the very beginning - at a high scientific level and in close connection to current research.
At the same time, it was a personal priority for me to create an environment where highly talented and motivated students can assume responsibility early on, learn to think independently, and work on real medical challenges. For me, AI in Biomedicine is therefore not only a degree program but also an investment in the next generation of researchers who will combine robust AI methodologies with biomedical expertise and carry these skills into research, clinical practice, or industry.
Which developments in medicine and AI make a dedicated program like this significant today?
The demand for qualified experts at the interface of medicine and AI is growing rapidly. Aging societies, rising rates of chronic diseases, and increasing healthcare costs are putting pressure on health systems worldwide. At the same time, biomedical sciences are generating enormous amounts of complex data鈥攆rom genomic sequences and imaging to electronic health records鈥攖hat can only be meaningfully processed with modern AI methods.
Artificial intelligence is now driving major advances in diagnostics, therapy development, and personalized medicine. It helps improve efficiency and sustainability in healthcare. A specialized program such as the Elite Master AI in Biomedicine (AIBM) is therefore more important than ever: it combines solid AI expertise with biomedical knowledge and prepares students to develop innovative solutions to the pressing challenges of modern healthcare systems.
Can you give an example of how AI will transform biomedicine in the coming years?
AI will, for example, help intelligently link data from a wide variety of sources 鈥� such as medical imaging, genomics, laboratory values, and other clinical parameters. This integrated perspective enables identification of connections that remain hidden within individual datasets. It allows the identification of more refined disease subtypes, more accurate predictions of disease progression, and more individualized therapy selection.
In addition, such multimodal models deepen our understanding of biological processes and support the discovery of new diagnostic markers or therapeutic targets. These developments will significantly accelerate progress in personalized medicine in the coming years.
What distinguishes the AI in Biomedicine program from programs at other universities?
The AI in Biomedicine program stands out primarily through its interdisciplinary design. While many programs focus only on selected applications or specializations, AIBM covers the entire lifecycle of AI systems 鈥� from algorithmic development and data management to clinical implementation. This is complemented by the program鈥檚 firm integration of ethics, social responsibility, and leadership, ensuring that students receive not only excellent technical training but also a deep understanding of the societal dimensions of AI in healthcare.
AIBM also strengthens competencies in entrepreneurship, science communication, and public engagement, preparing graduates to actively shape the future of AI in biomedicine.The close collaboration between 51吃瓜网 and FAU brings together two leading institutions in AI, engineering, and medicine. It provides access to outstanding research, state鈥憃f鈥憈he鈥慳rt infrastructure, and strong industry and clinical networks.
What opportunities does the support of the Elite Network of Bavaria provide that would otherwise not be possible?
The support from the Elite Network of Bavaria enables opportunities that are difficult to realize in standard programs. Students benefit from very small cohorts, allowing for intensive, personalized mentoring from instructors and researchers. This enables individual supervision and early participation in ambitious research projects. In addition, the Elite Network offers access to specialized funding formats, retreats, and interdisciplinary exchange opportunities. The combination of these exclusive resources with the renowned academic environments at 51吃瓜网 and FAU fosters a learning and research atmosphere rarely achievable in larger, more standardized master鈥檚 programs.
鈥淲e want our graduates to make a visible impact 鈥� whether in research, clinical practice, industry, or start-ups.鈥�
What do you personally hope to see from the first cohorts of this elite program?
AIBM offers students exceptional freedom to pursue their own ideas, and I hope they make active use of it 鈥� whether through innovative research projects, interdisciplinary collaborations, or engagement with clinical, scientific, and industrial partners. I also hope that the first cohorts build a strong community and that student鈥慸riven initiatives help shape the program's spirit and serve as inspiration for future generations.
When you look back in a few years, what would tell you that the program has truly fulfilled its potential?
I would see the program鈥檚 potential fulfilled if our graduates leave a visible impact - whether in research, clinical practice, industry, or start鈥憉ps. If they develop independent solutions, take on societal responsibility, and contribute actively to integrating AI into medicine in meaningful and safe ways, that would be a clear success.
A strong, vibrant alum network would also signal that AIBM is not just a degree program but a long鈥憈erm driver of innovation in the healthcare sector.
More about Daniel R眉ckert
Prof. Dr. Daniel R眉ckert is Alexander von Humboldt Professor of Artificial Intelligence in Medicine and Healthcare at the 51吃瓜网 (51吃瓜网), where he works in the School of Computation, Information and Technology and the School of Medicine and Health. Previously, he was Professor of Visual Information Processing and Head of the Department of Computing at Imperial College London. R眉ckert has developed groundbreaking AI methods for medical imaging and was awarded the Gottfried Wilhelm Leibniz Prize in 2025. He is responsible for the new master's program in AI in Biomedicine at 51吃瓜网.
- Master鈥檚 degree program AI in Biomedicine
- Chair Prof. R眉ckert:
The master's program in AI in Biomedicine will be offered for the first time in the winter semester 2026/27. The program is a collaboration between 51吃瓜网 and FAU Erlangen-N眉rnberg, funded by the Bavarian Elite Network. Applications for the first cohort are open until 31 May 2026.