Department of Biomedical Engineering
E702222
The Department of Biomedical Engineering at the University of Tokyo’s Faculty of Medicine is an academic unit focused on applying engineering principles and technologies to advance medical science, healthcare, and human health.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Department of Biomedical Engineering canonical | 1 |
Statements (38)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
biomedical engineering department ⓘ |
| affiliation | University of Tokyo NERFINISHED ⓘ |
| campus | Hongo Campus, University of Tokyo NERFINISHED ⓘ |
| city | Tokyo ⓘ |
| collaboratesWith | University of Tokyo Hospital NERFINISHED ⓘ |
| country | Japan ⓘ |
| emphasis |
education of biomedical engineers
ⓘ
integration of engineering and clinical practice ⓘ research on human health and disease ⓘ |
| field |
biomedical engineering
ⓘ
healthcare technology ⓘ medical engineering ⓘ medicine ⓘ |
| focus |
application of engineering principles to medicine
ⓘ
biomaterials and tissue engineering ⓘ biomedical signal processing ⓘ development of medical devices ⓘ healthcare technology innovation ⓘ medical imaging ⓘ |
| languageOfInstruction |
English
ⓘ
Japanese ⓘ |
| locatedInTimeZone | Japan Standard Time ⓘ |
| mission |
advance medical science through engineering
ⓘ
improve human health using engineering technologies ⓘ |
| offersProgram |
doctoral program in biomedical engineering
ⓘ
graduate program in biomedical engineering ⓘ |
| organizationType | public university department ⓘ |
| parentFaculty | Faculty of Medicine, University of Tokyo NERFINISHED ⓘ |
| parentOrganization | University of Tokyo NERFINISHED ⓘ |
| partOf |
Faculty of Medicine, University of Tokyo
NERFINISHED
ⓘ
University of Tokyo ⓘ |
| region | Kanto region NERFINISHED ⓘ |
| researchActivity |
clinical translation of engineering technologies
ⓘ
development of diagnostic technologies ⓘ development of therapeutic technologies ⓘ interdisciplinary collaboration between engineers and clinicians ⓘ |
| sector | higher education ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Department of Biomedical Engineering Description of subject: The Department of Biomedical Engineering at the University of Tokyo’s Faculty of Medicine is an academic unit focused on applying engineering principles and technologies to advance medical science, healthcare, and human health.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
Faculty of Medicine, The University of Tokyo
→
hasDepartment
→
Department of Biomedical Engineering
ⓘ