Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Artificially Intelligent platform for exosomal nanoparticles (ENPs) design

Full metadata record
DC Field Value Language
dc.contributor.author하성민-
dc.contributor.authorHairi Jiang-
dc.contributor.authorLee,Taehoon-
dc.contributor.authorShin, Joonchul-
dc.contributor.authorJung, Hyo-Il-
dc.date.accessioned2025-04-22T07:05:58Z-
dc.date.available2025-04-22T07:05:58Z-
dc.date.issued2024-09-02-
dc.identifier.urihttps://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/23378-
dc.language영어-
dc.language.isoENG-
dc.titleArtificially Intelligent platform for exosomal nanoparticles (ENPs) design-
dc.title.alternativeArtificially Intelligent platform for exosomal nanoparticles (ENPs) design-
dc.typeConference-
dc.citation.conferenceNameKorean Society for Extracellular Vesicles (KSEV) 2024 Annual Meeting-
dc.citation.conferencePlace대한민국-
dc.citation.conferencePlace한국과학기술회관-
dc.citation.conferenceDate2024-09-02 ~ 2024-09-03-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > 공과대학 기계공학부 > 공과대학 기계공학과 > 3. Conference Papers

qrcode

Items in Scholar Hub are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher HA, Seongmin photo

HA, Seongmin
공과대학 (공과대학 기계공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE