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Pain Digital Health Science Joint Research Lab
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The research lab explores the mechanisms of chronic pain using pain data and information science.
AboutAbout the lab
Capturing pain with data to create a new academic field
The Pain Digital Health Science Joint Research Lab combines large-scale pain data with information science to study the mechanisms of chronic pain.
In clinical care for chronic pain, the patient's self-report is emphasized and the indicators used for judgment are diverse, which makes collecting and organizing data difficult.
Through research that explores mechanisms from data and the development of a system that centrally manages pain data from across Japan, the lab aims for objective and standardized diagnosis and treatment.
The lab is established in the Department of Bioinformatic Engineering, Graduate School of Information Science, as a joint research lab with Teikoku Seiyaku and Maruishi Pharmaceutical.
Key terms
- Chronic pain
- Long-lasting pain. In clinical care, the patient's self-report is emphasized and the indicators used for judgment are diverse
- Digital biobank
- An effort to collect digital pain data. The lab develops a system that consolidates data from across Japan in cooperation with the Japanese Association for the Study of Pain
- Pain visualization system
- Technology that makes it possible to evaluate pain objectively and quantitatively
NewsLab news
View More ↗ResearchResearch themes
The lab combines large-scale pain data with information science and aims to create a new academic field, "digital health science of pain." It is working to clarify the mechanisms of chronic pain and to develop a system that collects and manages pain data from across Japan.
Clarifying the mechanisms of chronic pain
The lab draws on one of the world's largest sets of experimental pain data, one of Japan's largest sets of clinical data, and its track record with a pain visualization system that it developed ahead of the rest of the world. From the perspective of digital science, it clarifies the mechanisms of chronic pain.
A digital biobank for pain
The lab promotes Japan's first digital biobank for pain in cooperation with the Japanese Association for the Study of Pain. It develops a system that consolidates digital pain data from across Japan.
*Illustrative imageBuilding a system that makes use of pain data
The lab works on building a system that can use data in the digital health science field in an integrated and organic way. For this purpose, the lab was established in the Graduate School of Information Science.
*Illustrative imageCentralized management of pain data and its implementation in society
Following the move toward common medical records across hospitals, the lab aims to develop and operate a system that can centrally manage pain-related data from across Japan. This will lead to objective and standardized diagnosis and treatment in digital health for the field of pain.
MembersFaculty
- ProfessorShigeto Seo
- Project ProfessorMasayuki Murata
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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: “Chronic pain” Marcianò, G.; Vocca, C.; Evangelista, M.; Palleria, C.; Muraca, L.; Galati, C.; Monea, F.; Sportiello, L.; De Sarro, G.; Capuano, A. / CC BY 4.0 (cropped)
- Building a system that makes use of pain data: “Network cables in server room” ProjectManhattan / CC BY-SA 3.0 (cropped)
- Centralized management of pain data and its implementation in society: “Picking up Prescriptions at Ochsner 7 April 2020 - Computer terminal” Infrogmation of New Orleans / CC BY-SA 4.0 (cropped)
- Related lab (Bio-Information Measurement Lab): “Chromatography apparatus” Giac83 / CC BY-SA 2.5 (cropped)
- Related lab (Metabolic Informatics Engineering Lab): “Erlenmeyer TSB fermentation replicates” Luis Fernando Flores LAB / CC BY-SA 4.0 (cropped)
- Related lab (Human Information Engineering Lab): “Virtuality 1000CS VR Headset” RetroEditor / CC BY 4.0 (cropped)
- Related lab (Data Generation Engineering Lab): “দোল উৎসব” Latentlife.archive / CC BY-SA 4.0 (cropped)
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