Exhibition of RCBE Results at Medtec Japan – A Leading Trade Show for Medical Device Design and Manufacturing

As part of our initiative to promote the social implementation of research outcomes, Research Center for Biomedical Engineering (RCBE) participated in Medtec Japan, one of the largest exhibitions in Asia dedicated to medical device manufacturing and design. This year, the exhibition hosted 478 companies (up from 454 last year) and welcomed a total of 17,261 visitors over the three days, nearly matching last year’s total of 17,570. Daily attendance was as follows: April 9 (Wed) – 5,486, April 10 (Thu) – 5,802, and April 11 (Fri) – 5,973.

This year, we showcased in-person exhibits from the following universities: Institute of Science Tokyo (2 exhibits), Shizuoka University (2 exhibits), and Hiroshima University (7 exhibits). The themes of each laboratory’s exhibit were as follows:

Laboratory for Biomaterials and Bioengineering, Institute of Science Tokyo
• Ikeuchi Laboratory: Introduction of research in precision medical engineering, nanoscale biomaterials created from DNA, real-time visualization of intracellular temperature

Laboratory for Future Interdisciplinary Research of Science and Technology, Institute of Science Tokyo
• Okino Laboratory: Medical applications of atmospheric pressure plasma

Research Institute of Electronics, Shizuoka University
• Aoki Laboratory: Contactless 3D-DICOM viewer
• Kawahito Laboratory: KAO Camera with on-chip RGB/NIR filters and lock-in CMOS image sensor for detecting pulse waves from living tissue

Research Institute for Semiconductor Engineering, Hiroshima University
• Teramoto Laboratory: Noise evaluation of transistors using LSI and 2D sensing
• Kuroki Laboratory: Development of SiC electronics for extreme environments and their application in particle beam therapy
• Kameda Laboratory: Enhancing reliability of wireless networks in medical facilities
• Goto Laboratory: Research on information processing devices using electron spin
• Nakajima Laboratory: Alq₃-based blended electron-beam resists for nanoscale OLED biosensors
• Koide Laboratory: AI-assisted colonoscopy image diagnosis based on NICE/JNET classification using deep learning
• ARIM Project Support Office

The event provided a valuable opportunity to engage directly and simultaneously with a large number of corporate developers. It proved to be an extremely meaningful initiative, allowing for real-time discussions and exploration of potential future collaborations.