Artificial Intelligence in Biological and Medical Systems



IG Forum (SG13): Artificial Intelligence in Biological and Medical Systems

Date: 13:30-15:30, Monday, 10th July 2023 (MoB)
Room: Room 413

Related Technical Committee: TC 8.2. Biological and Medical Systems 
Planned by: IFAC2023 Industry Subgroup on Biological and Medical Systems (SG13)

Kenji Kawashima (The University of Tokyo, Japan)
Koichi Hashimoto (Tohoku University)

Session Chairs:
Chair: Kenji Kawashima (The University of Tokyo, Japan)
Co-Chair: Koichi Hashimoto (Tohoku University)

Cong Zhou (University of Canterbury)
Maina Sogabe (The University of Tokyo)
Masanao Ohashi (Medicaroid Corporation)
Pepijn van Esch (Riverfield Inc.)



Through keynote speech and panel discussions on AI in biological and medical systems, the latest trends, challenges, and efforts in systems will be shared with researchers in biology, medicine, and control engineering. Prof. J. Geoffrey Chase from University of Canterbury will present us keynote lecture titled “AI, Big Data, and clinical medicine / applications”. In the panel discussion, young researchers from universities and companies will exchange their views on the prospects of biological and medical systems through interdisciplinary discussions. We look forward to the participation of a wide range of people interested in biological and medical science.

Session Program

This forum consists of keynote lecture and panel discussion:

13:30-14:30 : Keynbote lecture: "AI, Big Data, and clinical medicine / applications"
Speaker : J. Geoffrey Chase
Abstract : 

This keynote lecture addresses rise of artificial intelligence (AI) and its potential to disrupt the practice of clinical medicine, both directly in practice and through the enhanced capacity of devices used to provide care. 
AI and the ability to gather significant data are revolutionizing industry and services, much as personal computers did in the 1980s-90s, and the internet again in the 1990s-2000s. Each change significantly disrupted the practice of many jobs. Medicine has remained largely unaffected relative to almost every other area of human endeavor.
This keynote discusses how these changes might arrive in medicine with the coupling of increasingly powerful AI and bedside computation. It focuses on the high-cost, high-demand, technology laden areas of intensive care unit (ICU) medicine and surgery likely to see changes first due to their underlying economic drivers.
In particular, the talk defines key terms like “big” and the differences from clinical medicine to other areas of application. It compares the potential to the capabilities available from deterministic approaches. The main goal is to highlight the possibilities and pitfalls relative to the very different needs of clinical medicine, and, critically, how to recognise one from the other without getting lost in the hype.


14:30-15:30 : Panel discussion
Panelits :
Cong Zhou (University of Canterbury)
Maina Sogabe (The University of Tokyo)
Masanao Ohashi (Medicaroid Corporation)
Pepijn van Esch (Riverfield Inc.)

Through interdisciplinary discussions, exchange views on the prospects of biological and medical systems.


Biography of Speaker

J. Geoffrey Chase [Keynote Speaker]
Professor Chase received his Mechanical Engineering B.S. from Case Western Reserve University in 1986. His M.S. and PhD were at Stanford University in 1991 and 1996. He spent 6 years at General Motors and a further 5 years in Silicon Valley, including Xerox PARC, GN ReSound, Hughes Space and Communications, and Infineon Technologies, before coming to the University of Canterbury in 2000. Research interests include: control, physiological systems, structural dynamics and vibrations, and modeling. Dr. Chase has over 800 journal and conference papers, and 13 patents. He is a Fellow of the Royal Society of NZ (FRSNZ) and IPENZ (FIPENZ).