This Mini-Symposium (MS) focuses on system identification (Sys ID), parameter estimation, and state observer design toward clinical applications. The spirit of this MS is to bring together engineers and researchers working on the design or implementation of an algorithm, methodology, or process to facilitate estimating of hard-to-measure variables (var), or physical/geometrical parameters (parm), in order to enhance a medical diagnosis or therapy. The MS consists of 4 talks of 20min each followed by a 10min Q&A. Dr. Lennart Ljung will kick off the MS with a 5 min talk on "System ID in the Age of Machine Learning". The four presenters are Drs. Jason Bates, Rama Mukkamala, Dan Karbing, and Sidd Chamarthy. There will be an open 45min discussion session at the end. The MS ends at 12:15 PM Eastern Time (US and Canada).