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Artificial Intelligence in Medical Science Lab (Affiliated Center for Creative and Applied Medical Research)
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A lab that analyzes medical data across disciplines using AI, mathematics, and medical science.
AboutAbout the lab
Creating new knowledge from multidimensional medical data
The Artificial Intelligence in Medical Science Lab analyzes medical data of differing nature, such as genomes, medical images, and clinical records, across AI, mathematics, and medical science.
The lab aims to elucidate disease mechanisms, discover new treatments, and build systems for choosing the treatment best suited to each individual patient.
Research is carried out at two sites: the Seiryo Campus in Sendai and RIKEN in Tokyo.
Another goal of the lab is to reconnect the different expertise of medicine, information science, and mathematical science, and to create a place where people can discuss across disciplinary boundaries.
Key terms
- Spatial omics
- Analysis that captures molecular information such as the genome together with the position of each individual cell within tissue
- Latent space
- A space that abstractly represents the features of complex data in fewer dimensions; it is used to handle different types of data on a common basis
- AI for Science
- An approach that uses AI to support scientific discovery and to speed up the way research itself advances
NewsLab news
Newton special issue "Yoku wakaru jinko chino no subete: Saishinban" (The Complete Guide to Artificial Intelligence, Latest Edition), supervised by Professor Yamamoto, was published
An approach to overcoming the "double barrier" in AI-based cancer prediction was presented
Professor Yoichiro Yamamoto took up his post, and the Artificial Intelligence in Medical Science division was newly established
ResearchResearch themes
In clinical settings, data that differ in both dimensionality and nature, such as genomes, spatial omics, medical images, and clinical information, accumulate every day. The lab analyzes these data across AI, mathematics, and medical science, aiming to elucidate disease mechanisms, discover new treatments, and build systems that select the optimal treatment for each patient.
*Illustrative imageIntegrative Analysis of Multidimensional Medical Data
A framework that integrates data of different dimensions, such as genomes and medical images, at the level of latent space and links them to understanding of disease and treatment decisions has not yet been sufficiently established. Through analysis across AI, mathematics, and medical science, the lab aims to create new knowledge and medical applications.
*Illustrative imageAI for Science Consistent with Medicine
Going beyond highly accurate prediction, the lab explores AI that remains consistent with medical knowledge and accelerates scientific progress, even under conditions where data are limited and observations are incomplete.
MembersFaculty
The lab's members consist of faculty, visiting faculty, Moonshot researchers, secretaries, doctoral and undergraduate students, working-professional graduate students, and collaborative research members.As of 2026
- ProfessorYoichiro Yamamoto
- LecturerJunya Iwasaki
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: “Graphics Processing Unit” Nick Stathas / CC BY-SA 4.0 (cropped)
- Integrative Analysis of Multidimensional Medical Data: “Integrated Genome Browser 9.1.0 showing chromosome 1 of the human genome assembly hg38” Aloraine / CC BY-SA 4.0 (cropped)
- AI for Science Consistent with Medicine: “Data flock (digits) by Philipp Schmitt” Philipp Schmitt / CC BY-SA 4.0 (cropped)
- Related lab (Medical Data Science Lab): “A technician enters data into a computer at Gorgas Army Hospital - DPLA - 2300987e22c18aeeb904c6c80c26a36e” Department of Defense. American Forces Information Service. Defense Visual Information Center. 1994 / Public domain (cropped)
- Related lab (Cancer Chemotherapy Pharmacy Lab (Graduate School of Pharmaceutical Sciences)): “1LT Frederic A. Lombardo fills a prescription in the pharmacy at Kenner Army Hospital - DPLA - f8c5bb5f cabd78275fd829” Department of Defense. American Forces Information Service. Defense Visual Information Center. 1994 / Public domain (cropped)
- Related lab (Nephrology Lab): “Dialysis unit of CKD & Urology Hospital” Yahya / CC BY-SA 4.0 (cropped)
- Related lab (Gastroenterology Lab): “Endoscopy room” Gilo1969 / CC BY 2.0 (cropped)
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