안녕하세요, 삼성융합의과학원 행정실입니다.
삼성서울병원 병리과에서 개최하는 심포지엄을 아래와 같이 안내드립니다.
관심있는 분들의 많은 참여 바랍니다.
■ 제목 Spatial transcriptomics/proteomics and Digital pathology: updates and to do
■ 일시: 2026년 6월 19일(금) 11:30~16:20
■ 장소: 삼성서울병원 본관 B1 대강당
■ 사전등록 : ~ 6월 17일 (수)
■ 등 록 비 : 무료
- 신청방법 : yuk.seo@samsung.com 메일 접수
(성함 및 소속, 연락처 기재)
■ 프로그램SMC 병리과 심포지엄.
Part 1. Spatial transcriptomics/proteomics for precision medicine Ⅰ
-Sharing Experiences of Spatial Analysis: Transcriptomics and High-plex Immunofluorescence
-Spatial proteomics solution from discovery to clinic
-Xenium : Solutions for spatial transcriptomics and proteomics
Part 2. Spatial transcriptomics/proteomics for precision medicine Ⅱ
-Hypothesis Free Discovery in Tissue: High Resolution Spatial Transcriptomics with Integrated Analysis
-From Individual Studies to the Consortium Efforts
Part 3. Digital pathology and AI intelligence
-Digital pathology-based artificial intelligence in diagnostic pathology
-Implementation of artificial intelligence in breast cancer: Nationwide real-world study for HER2-Ultralow and HER2-Low Breast cancers
-Radiomics meets Pathology: Pathomics features from whole slide image
-Developing Deep Learning Models in Gastric Cancer Pathology: Real-World Experience and Lessons Learned
안녕하세요, 삼성융합의과학원 행정실입니다.
삼성서울병원 병리과에서 개최하는 심포지엄을 아래와 같이 안내드립니다.
관심있는 분들의 많은 참여 바랍니다.
■ 제목 Spatial transcriptomics/proteomics and Digital pathology: updates and to do
■ 일시: 2026년 6월 19일(금) 11:30~16:20
■ 장소: 삼성서울병원 본관 B1 대강당
■ 사전등록 : ~ 6월 17일 (수)
■ 등 록 비 : 무료
- 신청방법 : yuk.seo@samsung.com 메일 접수
(성함 및 소속, 연락처 기재)
■ 프로그램SMC 병리과 심포지엄.
Part 1. Spatial transcriptomics/proteomics for precision medicine Ⅰ
-Sharing Experiences of Spatial Analysis: Transcriptomics and High-plex Immunofluorescence
-Spatial proteomics solution from discovery to clinic
-Xenium : Solutions for spatial transcriptomics and proteomics
Part 2. Spatial transcriptomics/proteomics for precision medicine Ⅱ
-Hypothesis Free Discovery in Tissue: High Resolution Spatial Transcriptomics with Integrated Analysis
-From Individual Studies to the Consortium Efforts
Part 3. Digital pathology and AI intelligence
-Digital pathology-based artificial intelligence in diagnostic pathology
-Implementation of artificial intelligence in breast cancer: Nationwide real-world study for HER2-Ultralow and HER2-Low Breast cancers
-Radiomics meets Pathology: Pathomics features from whole slide image
-Developing Deep Learning Models in Gastric Cancer Pathology: Real-World Experience and Lessons Learned