Program
Time (MT) |
Topic |
Speakers |
|
|
8:00 - 8:05 (5 minutes) |
Welcome address |
Katie Zhu, Yale University |
|
|
8:05 - 8:40 (35 Minutes) |
Keynote: AI Opportunities and Challenges in Pharma |
James Cai, Boehringer Ingelheim |
|
|
8:40 - 10:00 (80 min) |
8:40 - 9:00 |
Topology-Driven Negative Sampling Enhances Generalizability in Protein-Protein Interaction Prediction |
Babak Ravandi, Alexion |
| 9:00 - 9:20 |
Learnable Geometric Scattering on Biomedical Knowledge Graphs for Indication Expansion |
Dhananjay Bhaskar, Yale-BI Fellow |
|
|
9:20 - 9:40 |
Using predicted family relations for improving patient representation learning from electronic health records |
Xiayuan Huang, Yale-BI Fellow |
|
|
9:40 - 10:00 |
In-silico Prediction of Collaborative Paralog Pairs Enhancing Cancer Immunotherapy |
Chuanpeng Dong, Yale-BI Fellow |
|
|
10-10:15 (15 mins) Coffee Break |
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|
10:15-11:15 (60 mins) |
10:15-10:35 |
Incorporating prior information in gene expression network-based cancer heterogeneity analysis |
Rong Li, Yale-BI Fellow |
|
10:35-10:55 |
Unraveling Tissue Microenvironments Using Integrated Spatial Transcriptomics and Multi-Modal Data through Graph Networks |
Huanhuan Wei, Yale-BI Fellow |
|
|
10:55-11:15 |
Integrating Node and Network Imaging Traits to Boost Prediction Accuracy of Cognitive Ability |
Zhe Sun, Yale-BI Fellow |
|
|
11:15 – 12:00 |
Interactive Panel Q&A on AI for drug discovery topics |
Panelists: James Cai (BI), Jake Chen (UAB), Sidi Chen (Yale), Yves Lussier (Utah) |
|
|
12- 12:15 |
Closing Remarks |
Jake Chen, The University of Alabama at Birmingham |
|
|
12:15-1:45 |
Lunch Break |
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