Special symbols
Technology involving patent rights held by Keio University. For further information, please inquire at the KLL Desk.
Research Project at Keio Innovation Foundry (KIF) as one of Keio University Faculty of Science and Technology 75th Anniversary Commemorative Project.
Medical-Engineering Collaboration Zone
Keio University has a history of conducting collaborative research between the School of Medicine and the Faculty of Science and Technology. This research has lately expanded beyond the medical field to encompass robotics, cognitive science, and even big data. The exhibit will highlight leading technologies being developed by this medical-engineering collaboration at Keio University.
Time / 14:45-15:45 Venue / Short Presentations ①
28 |
Suppression of myopia progression by violet light
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| Professor TSUBOTA, Kazuo Department of Ophthalmology, Keio University School of Medicine |
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Myopia has been increasing globally. Nearly 50% of the world population will be myopic by 2050. Myopia could lead to other diseases including blindness. Violet light exists abundantly outdoors, while it does not indoors. We have shown it could suppress myopia progression. We will introduce violet light glasses and other application examples.
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29 |
Flexible robotic forceps with haptic feedback
for endoscopic surgery  |
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| Assistant Professor WADA, Norihito Department of Surgery, Keio University School of Medicine  |
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Professor OHNISHI, Kouhei Department of System Design Engineering |
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Haptic feedback in robotic surgery provides the patients with preciseness and safety of surgical procedures. We will introduce the results of experiments using flexible robotic forceps with haptic feedback for endoscopic surgery.
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30 |
Development of Innovative Rehabilitation Devices
and the Smart Rehabilitation Initiative  |
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| Professor LIU, Meigen Department of Rehabilitation Medicine, Keio University School of Medicine |
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Associate Professor USHIBA, Junichi Department of Biosciences and Informatics |
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The Keio University Medical Engineering Collaboration team developed new rehabilitation treatments centered on the Brain Machine Interface against severe paralysis that was difficult to treat, verified its effect, and worked on practical application as medical devices. In the near future, we aim to innovate the rehabilitation by integrating the rehabilitation equipment group under development as “smart rehab room”.
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31 |
Project for Objective Measures
Using Computational Psychiatry Technology (PROMPT)  |
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| Assistant Professor KISHIMOTO, Taishiro Department of Neuropsychiatry, Keio University School of Medicine |
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Associate Professor MITSUKURA, Yasue Department of System Design Engineering |
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Due to the lack of biomarkers that closely reflect illness severity in psychiatry, the field suffers enormously greatly in diagnosing, assessing treatment response, and developing new drugs. The goal of the project is to quantify the severity of psychiatric symptoms through facial expression, voice and body movement etc. utilizing information communication technology and machine learning.
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