
Join leading experts at this interdisciplinary symposium exploring how control engineering, AI, and systems immunology can drive the next wave of precision and adaptive medicine.
Expect insights into adaptive treatment strategies, patient-specific modeling, and clinical decision support systems — plus interactive sessions connecting engineers, clinicians, and data scientists to tackle real-world healthcare challenges.
đź§ Hosted by Prof. Dr. Michael Meyer-Hermann and supported by CAIMed, the event aims to spark lasting collaborations and shape future flagship projects bringing closed-loop control into clinical practice.
👉 Learn more: https://www.tu-braunschweig.de/engineering-for-health/termine-efh-detailansicht/symposium-control-engineering-for-health
Control Engineering for Health
A symposium hosted by the Department of Systems Immunology
November 20–21, 2025
Helmholtz Centre for Infection Research, Forum X 0.13
Science Campus Braunschweig SĂĽd
InhoffenstraĂźe 7, 38124 Braunschweig, Germany
Organizer: Prof. Dr. Michael Meyer-Hermann, supported by CAIMed
Organizing committee
Department of Systems Immunology at HZI
1:00 p.m. – 1:10 p.m.
Opening — (Welcome message by Michael Meyer-Hermann)
1:10 p.m. – 1:45 p.m.
Talk — (Dr. Doris H. Fürtinger, Renal Research Institute, Fresenius Medical Care)
Title: Model-Based Optimal Control for Personalized Anemia Management in Hemodialysis
1:45 p.m. – 2:20 p.m.
Talk — (Thao Dang, PhD, French National Center for Scientific Research CNRS & VERIMAG, Université Grenoble Alpes)
Title: Control and Monitoring of Anesthesia using Formal Methods and Machine Learning
2:20 p.m. – 2:40 p.m.
Coffee Break
2:40 p.m. – 3:15 p.m.
Talk — (Prof. Dr. Dagmar Wirth, Dpt. of Model Systems for Infection and Immunity MSYS, Helmholtz Centre for Infection Research)
Title: Rewiring of cellular signaling pathways to synthetic expression cassettes for self-controlled therapeutic responses
3:15 p.m. – 3:50 p.m.
Talk - Online — (Prof. John Bagterp Jørgensen, PhD., Department of Applied Mathematics and Computer Science, Technical University of Denmark.
Title: Systems and Control for Diabetes and Obesity
3:50 p.m. – 4:25 p.m.
Talk — (Prof. Dr.-Ing. Rolf Findeisen, Control and Cyber-physical Systems Laboratory, TU Darmstadt)
Title: Learning to Control Life: The Quest to Fuse Machine Learning and Control to Support and Understand Living Systems
4:30 p.m. – 5:30 p.m.
Interactive Session incl. Wrap-Up
7:00 p.m.
Joint Dinner with Speakers and Organizers
9:00 a.m. – 9:30 a.m.
Intro, Recapitulating Interactive Session — (Michael Meyer-Hermann)
9:30 a.m. – 10:05 a.m.
Talk — (Prof. Dr. Ville Mustonen, Finnish Multidisciplinary Center of Excellence in Antimicrobial Resistance Research FIMAR
Organismal and Evolutionary Biology Research Programme, Department of Computer Science, University of Helsinki and the Helsinki Institute for Information Technology, Finland)
Title: Eco-evolutionary control of cell populations
10:05 a.m. – 10:40 a.m.
Talk — (Univ.-Prof. Dr. med. Ivica Grgic, Department of Internal Medicine and Nephrology, Marburg Transplant Center & Institute for AI in Medicine, Philipps University Hospital Marburg UKGM)
Title: AI and Immersive Technologies in Healthcare: Chances and Challenges
10:40 a.m. – 10:55 a.m.
Coffee Break
10:55 a.m. – 11:30 a.m.
Talk — (Prof. Dr.-Ing. Dr. med. Steffen Leonhardt, Helmholtz Institute of Biomedical Engineering, RWTH Aachen University)
Title: Control of therapeutic systems interacting with pathophysiological systems
11:30 a.m. – 1:00 p.m.
Interactive Session
1:00 p.m. – 1:15 p.m.
Closing Session & Goodbye
CAIMed is funded by the Ministry of Science and Culture of Lower Saxony with funds from the program zukunft.niedersachsen of the VolkswagenStiftung.
CAIMed is the Lower Saxony research center for artificial intelligence and causal methods in medicine. We develop innovative methods for improved, personalized healthcare and contribute to the management of widespread diseases such as cancer, cardiovascular diseases and infections. The combination of excellent locations in Lower Saxony for methodical AI research, data-intensive medicine, medical informatics and basic medical research creates a unique flagship project for research into AI and personalized medicine.
CAIMed relies on the linking of research data, clinical data and patient care data as well as the use of artificial intelligence and causal methods. This enables prevention, diagnostics, therapy and monitoring of therapeutic success to become more effective and efficient and the individual needs of each person to be better identified and served.