| 9:30-10:20 |
등록 |
| 10:20-10:30 |
개회사 |
| S1 Omics in Cancer and Metabolism |
| 10:30-11:00 |
Multi-omics analysis in CTC-based liquid biopsy |
박현우(연세대학교) |
이지민(KAIST), 빈진혁(연세대학교) |
| 11:00-11:30 |
Exploring Metabolite Regulation of Human Physiology and Pathology Using State-of-the-Art Metabolomic Techniques |
최동욱(고려대학교) |
| 11:30-12:00 |
AI-based Cell Free Transcriptome Analysis to Maximize Disease Specification |
전영준(성균관대학교) |
| 12:00-12:30 |
How to leverage nutrient availability to combat cancer |
이민식(포항공과대학교) |
| 12:30-13:30 |
Lunch |
|
| S2 Multiomics Approaches for Precision Medicine: Utilizing Proteomics to Address Medical Unmet Needs in Cancer |
| 13:30-14:00 |
Cancer Proteogenomics in Translational Research |
박종배(국립암센터) |
허은미(서울대학교), 최재훈(한양대학교) |
| 14:00-14:30 |
Single cell RNAseq analysis for defining T cell heterogeneity in tumor microenvironment |
홍승희(연세대학교) |
| 14:30-15:00 |
Characterization of myeloid cells in solid cancers at single-cell level |
정기훈(서울대학교) |
| 15:00-15:30 |
Using antibody-derived tags in single cell RNA sequencing |
이혜옥(가톨릭대학교) |
| 15:30-15:45 |
Break |
|
| S3 AI and Large Dataset Based Research Approaches to Overcome Diseases |
| 15:45-16:15 |
Understanding tumor microenvrionment complexity using AI and spatial transcriptomics |
나권중(서울대병원/포트래이) |
지헌영(연세대학교), 이화진(경희대학교) |
| 16:15-16:45 |
Hyper Lab: AI Drug Discovery Platform |
김우연(KAIST) |
| 16:45-17:15 |
Multimodal data-analysis using high dimensional dataset |
연동건(경희대학교) |
| 17:15-17:45 |
Large Foundation Model-Driven Innovation in Oncology |
박상준(연세대학교) |
