| 인사말 - 박종훈 (대한암학회 부회장) |
09:20-09:30 |
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| 1. High-throughput and computational methods to predict response
to cancer therapy |
09:30-11:00 |
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좌장: 허훈 (아주의대) |
| 1) CRISPR/Cas9 gene editing platform for identifying cancer therapy |
김택훈 (KIST) |
| 2) Organoid for colon cancer reveals heterogenous response |
구자록 (서울의대) |
| 3) Artificial intelligence to predict immunotherapy response in cancer patients |
김상욱 (POSTECH) |
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| Coffee Break
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11:00-11:20 |
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| 2. Clinical application of liquid biopsy beyond ctDNA
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11:20-12:50 |
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좌장: 공선영 (국립암센터) |
| 1) MRD detection using ctDNA
| 신새암 (연세의대) |
| 2) True Real-time Answer with CTC Evaluation (TRACE): Toward practical utility
|
김민석 (DGIST) |
| 3) The next therapeutic modality, extracellular vesicle
|
남기훈 (고려의대) |
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| Lunch Break |
12:50-14:00 |
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| 3. Multidimensional immune cell analyses in immuno-oncology
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14:00-15:30 |
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좌장: 이성환 (차의대) |
| 1) The use of multidimensional flow cytometry for immune biomarker discovery
| 권민석 (아주의대) |
| 2) Spatial multi-omics in immunology research
|
김종훈 (연세의대) |
| 3) Multiplex IHC for immune monitoring |
김상엽 (서울아산병원) |
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| Coffee Break
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15:30-15:50 |
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| 4. Artificial Intelligence(AI) in drug discovery and development
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15:50-17:20 |
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좌장: 최홍윤 (서울의대) |
| 1) Discover first-in-class drug candidates using workflow AI
| 윤소정 (스탠다임) |
| 2) AI in the prediction of protein structure and interaction
|
석차옥 (서울대) |
| 3) Data-driven approaches for efficient drug discovery
|
김완규 (이화여대) |
