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Medical Mathematical Informatics Lab
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The lab takes on medical research and the implementation of healthcare systems through the power of mathematics and informatics.
AboutAbout the lab
Taking on the future of medicine with mathematics and informatics
The Medical Mathematical Informatics Lab is a small, elite research group launched in December 2019 that takes on medical research through the power of mathematics and informatics.
What the lab values most is "actually implementing systems and experiencing firsthand how society changes."
With generative AI (LLMs) as a development partner, students can turn ideas into working systems even without programming experience, and they also learn the foundational knowledge of security and information infrastructure.
Besides students in medicine and healthcare fields, the lab also welcomes students from other faculties, such as informatics and engineering, as teammates.
Key terms
- Electronic medical record
- A system that handles clinical records in electronic form. The lab implements applications on it and verifies their effects.
- LMS
- A learning management system. The lab supports the School of Medicine with distance education that uses an LMS.
- Generative AI (LLM)
- AI that generates text and other content. The lab uses it as a powerful partner in system development.
NewsLab news
A graduate student in the Medical Sciences Degree Program received the Encouragement Award at the National Exchange Meeting on Medical E-learning
JV-Campus, in whose system development the lab takes part, received the Global Case Special Award at the Japan e-Learning Awards
Associate Professor Masaru Sanuki was selected as an outstanding faculty member in the University of Tsukuba Institute of Medicine's faculty performance evaluation
ResearchResearch themes
While making use of each member's expertise, the lab works as a group on medical AI, the implementation of medical information systems, and medical e-learning. Based on the view that even the most advanced data analysis is meaningless if it cannot be put to use in society, the lab places importance on actually implementing systems.
*Illustrative imageData processing for medical AI
Analysis requires joint research with researchers who hold the data, and the data processing that follows is also important. Aiming to take a role in working on this together, the lab carries out research with multiple labs and clinical departments.
Implementation of medical information systems
The lab believes that even new findings are meaningless if they cannot be put to use in society, so it places importance on actually implementing systems. The lab implements applications in electronic medical records and verifies their effects.
*Illustrative imageMedical e-learning
The lab mainly supports the School of Medicine with distance education using an LMS and remote conferencing systems. It also works on delivering high-quality medical content and on building and operating the services, and studies how "authentication" can assure the quality of learning.
*Illustrative imageDeveloping algorithms that run on large-scale computers
As research drawing on individual members' expertise, the lab develops algorithms, including machine learning, that can be run on large-scale computers.
MembersFaculty
The members of the Medical Mathematical Informatics Lab are faculty, graduate students, medical students taking the lab practicum, and visiting researchers.As of 2026
- Associate ProfessorMasaru Sanuki
- Assistant ProfessorKeitaro Kume
- Project Assistant ProfessorTakahiro Yano
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Laptop and stethoscope ( )” jfcherry / CC BY-SA 2.0 (cropped)
- Data processing for medical AI: “Desktop Computer - The Future for Medicine (FDA )” The U.S. Food and Drug Administration / Public domain (cropped)
- Medical e-learning: “Charite anathomy lecture hall1” Pcirrus / CC BY-SA 3.0 (cropped)
- Developing algorithms that run on large-scale computers: “The catalyst high performance computing (HPC)” ENERGY.GOV / Public domain (cropped)
- Related lab (Optical Medical Imaging Lab): “Working at an optical communications system testbed” NiamhTalking90 / CC BY-SA 4.0 (cropped)
- Related lab (Chemical Biology and IT Drug Discovery Lab): “CSIRO ScienceImage 2589 Shape of Protein Backbone” division, CSIRO / CC BY 3.0 (cropped)
- Related lab (Bioinformatics Lab): “Eppendorf epMotion 5075 liquid handling robot” Magnus Manske / CC BY-SA 3.0 (cropped)
- Related lab (Digital Behavioral Science Lab (WPI-IIIS)): “Single person cabin in the night train from Budapest to Berlin” Alex Sirac / CC BY 4.0 (cropped)
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