Staff

FUJIWARA KoichiProfessor

Laboratory
Laboratory of Biomedical Data Science
Research Theme
Pioneering a New Era of Medicine through Data-Driven Innovation
Research Keywords

Machine Learning, Biosignal Processing, Medical AI, Neuroscience, Psychiatry, Sleep Medicine, Pediatrics, Anesthesiology, Veterinary Medicine, Human-Machine Interface

Overview of Research

Our laboratory focuses on machine learning, particularly on establishing methodologies for analyzing small data, as well as developing novel machine learning algorithms and mathematical models. In collaboration with numerous hospitals and research institutions, we collect clinical data related to conditions such as epilepsy, sleep disorders, and cardiovascular diseases. By applying small data analysis techniques, we aim to develop innovative medical devices and AI systems, and to uncover the underlying mechanisms of various diseases. Specifically, we are conducting joint research with medical professionals across a wide range of specialties, including neurosurgery, psychiatry, pediatrics, anesthesiology, and veterinary medicine. Moreover, to realize the nationwide development of medical devices in Japan, we actively engage in bridging the gap between engineering and information science researchers, clinical settings, and industry through academic societies, AMED initiatives, and international standardization efforts.

Charge

Message

While the world is abuzz with talk of AI and big data, our research takes the opposite approach—we dive into the realm of small data. This includes clinical data that are inherently difficult to collect, such as EEG and other biosignals—data that are essential to medicine yet reside in a deeply complex and unexplored domain where the implicit knowledge of expert clinicians plays a crucial role.

In our lab, we collaborate with hospitals across Japan—from Hokkaido to Okinawa—to gather and analyze data related to epilepsy, sleep disorders, stroke, and rare pediatric diseases. Our goal is to develop practical AI tools and medical devices tailored to these conditions. At the same time, we also work on the development of new mathematical models and machine learning techniques, contributing to the future of medicine from both clinical and data science perspectives.

Our ultimate aim is not big data-driven AI, but intelligence that thrives on the experience and expertise of human professionals. This is a blue ocean—an untouched frontier rich with opportunity. We warmly welcome those who are eager to pioneer data science technologies that will shape the future of healthcare.

Representative Publications

Refer to HOKKAIDO UNIVERSITY RESEARCHERS DIRECTORY

Note

<Office Hour>
– Place: Northern Campus Building No.5, #05-106-2
Please contact in advance by E-mail.
E-mail: fujiwara.koichi[at]es.hokudai.ac.jp

Affiliation