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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)