On May 15, 2025, the latest CAIMed Meet-up took place on the Science Campus of the Helmholtz Centre for Infection Research (HZI) in Braunschweig under the title “AI, Modeling and Simulation in Biomedical and Clinical Research”. Numerous participants from science and clinics came together to discuss the use of AI, system modeling and simulation in medical research and application. 15. Mai 2025 fand auf dem Science Campus des Helmholtz-Zentrums für Infektionsforschung (HZI) in Braunschweig das jüngste CAIMed Meet-up unter dem Titel „AI, Modeling and Simulation in Biomedical and Clinical Research“ statt. Zahlreiche Teilnehmende aus Wissenschaft und Klinik kamen zusammen, um sich über den Einsatz von KI, Systemmodellierung und Simulation in der medizinischen Forschung und Anwendung auszutauschen.
After a brief welcome, an exciting afternoon began with seven varied and forward-looking specialist presentations:
Lecture 1 - From In-Silico to In-Clinic: A Translational History of Anemia Research
Dr. Doris H. Fuertinger (Renal Research Institute, Fresenius Medical Care) showed how virtual simulations help to develop and improve real therapeutic strategies for the treatment of anemia.
Vortrag 2 – Adaptive Infection Medicine: Harnessing Control Engineering for Individualized Treatment
Dr. Sahamoddin Khailaie (HZI) presented concepts from control engineering for the development of individualized therapies in the field of infection medicine.
Lecture 3 - Germinal center simulation meets machine learning: First insights into the prediction of antigen-BCR binding
Niklas Schwan (HZI) combined immunological modeling with AI methods to gain new insights into the immune response and antigen binding.
Lecture 4 - TrustKG: Interpretable hybrid AI for medicine through knowledge graphs and symbolic reasoning
Prof. Dr. Maria-Esther Vidal (TIB, L3S Research Center) presented hybrid AI systems that are based on knowledge graphs and symbolic reasoning and are intended to ensure interpretable medical decision-making.
Lecture 5 – Modeling and Control of the Pituitary-Thyroid Feedback Loop
Seth Siriya (Leibniz Universität Hannover) presented a dynamic system model for analyzing hormonal feedback in the thyroid-pituitary system.
Lecture 6 – Decision Making in ICU: May AI Take Over?
Dr. Sobhan Moazemi Goodarzi (Fraunhofer SCAI) focused on the role of AI in intensive care decisions - between technological potential and ethical responsibility.
Lecture 7 – AI and 3D Image Data: Automation of Surgical Planning?
Dr. Andrea Schenk (Fraunhofer MEVIS / MHH) showed how AI-supported image processing can make surgical planning more precise and efficient.
Between the presentations, two coffee breaks and a concluding networking reception provided ample opportunity for in-depth discussions. Researchers took the opportunity to make new contacts and initiate potential cooperation projects.
The CAIMed meet-up once again highlighted the central role that AI, modeling and simulation will play in the future of biomedical research and clinical application. This meeting also contributed to advancing the scientific dialog and promoting knowledge transfer - a goal that CAIMed continues to actively pursue.
