Updated as of JAN-12, 2021
Àλ縻 - ¾çÇѱ¤ (´ëÇѾÏÇÐȸ ÀÌ»çÀå) | 08:50-09:00 | |
1. Structural and spatial biology in cancer research | 09:00-10:30 | |
ÁÂÀå: ±èŹΠ(¼¿ïÀÇ´ë) | ||
1) 3D genome modeling in cancer research | Á¤Àΰæ (KAIST) | |
2) Digital spatial profiling in cancer research | Joseph M. Beechem (Nanostring Technologies) | |
3) Cryo-EM workflow to study biology at molecular resolution | ³ë¼ºÈÆ (¼¿ï´ë) | |
Break | 10:30-10:40 | |
2. Single-cell multiomics in cancer research | 10:40-12:10 | |
ÁÂÀå: ±èÁ¾°æ (DGIST) | ||
1) Practical issues on spatial transcriptome analysis of human cancer | ¹Ú¿õ¾ç (»ï¼ºÀ¯Àüü¿¬±¸¼Ò) | |
2) Tracking cancer evolution by single-cell transcriptomic profiles with genotyping | ±è±ÔÅ (¾ÆÁÖÀÇ´ë) | |
3) Discovering the role of white blood cells in cancer development | °í¿µÀÏ (¼¿ï´ëÇб³º´¿ø) | |
Lunch Break | 12:10-12:50 | |
3. Artificial intelligence for cancer diagnosis and therapy | 12:50-14:20 | |
ÁÂÀå: ÃÖÁ¤±Õ (KAIST) | ||
1) AI-based cancer screening using ctDNA | Á¶ÀºÇØ (³ì½ÊÀÚ Áö³ð) | |
2) AI-powered image segmentation for radiation therapy | ±èÁø¼º (¿¬¼¼¾Ïº´¿ø) | |
3) AI-based analysis of pathology images and its application to the diagnosis of gastric cancer | Á¤±Ôȯ (VUNO Inc.) | |
Break | 14:20-14:30 | |
4. Immunological approach in cancer research | 14:30-16:00 | |
ÁÂÀå: ÇÏ»óÁØ (¿¬¼¼´ë) | ||
1) Evaluating preclinical efficacy in immuno-oncology | ±èÂù (Â÷ÀÇ´ë) | |
2) Finding resistance biomarkers to overcome limitation of immune checkpoint inhibitors | À̼¼ÈÆ (¼º±Õ°üÀÇ´ë) | |
3) Finding resistance biomarkers to overcome limitation of immune checkpoint inhibitors | ¹æµÎÈñ (¿¬¼¼´ë) |