We welcome submissions to the open track:

"System Identification for Biomedical and Healthcare Systems: Data-Driven and Learning-Based Methods"

for the 21th IFAC Symposium on System Identification

July 7-9, 2027

Lyon, France

Submit here as "Open invited track paper" with code: dw722

Description

Biomedical and healthcare systems are inherently complex, nonlinear, time-varying, and characterized by tightly coupled feedback loops, high inter- and intra-individual variability, and the frequent need for closed-loop experimentation. Addressing these challenges requires a broad methodological toolkit: classical data-driven approaches—such as frequency response estimation, subspace methods, and closed-loop identification—provide interpretable uncertainty bounds essential for clinical reliability, while machine learning and hybrid methods complement these by capturing complex nonlinear dynamics and enabling personalized modeling from heterogeneous clinical data. This Open Invited Track brings together experts in system identification and machine learning with experience or interest in biomedical and human health applications, spanning theoretical developments and experimental human studies, with the goal of highlighting recent advances, identifying open challenges, and fostering new directions in developing reliable and clinically actionable models of biomedical systems.

How to submit?

Anyone is welcome to submit a paper to the open track!

1. Send us an email if you are interested in contributing to the session.

2. Write the paper in the IFAC conference template (available here).

3. Submit here as "Open invited track paper" using the code dw722

The paper undergoes review and, if accepted, is presented at the conference

If you have any questions, don't hesitate to get in touch with us:

• Laura Azzimonti - email: laura.azzimonti@supsi.ch

• Clara Galimberti - email: clara.galimberti@supsi.ch

• Mark van de Ruit - email: M.L.vandeRuit-1@tudelft.nl

Organizers

• Laura Azzimonti (IDSIA, USI-SUPSI)

• Fabrizio Dabbene (CNR-IEIIT)

• Clara Galimberti (IDSIA, USI-SUPSI)

• Alessia Paglialonga (CNR-IEIIT)

• Alfred C. Schouten (TU Delft)

• Mark van de Ruit (TU Delft)