May the Omics Be with AI: Unlocking the Potential of Your Data
| Section | Title (click the title to open the slides) |
Time | Duration | Speaker | Affiliations |
|---|---|---|---|---|---|
| Introduction | 13:00-13:15 | 15 min | Gennady Roshchupkin | Erasmus MC | |
| Multi-Domain Data Integration | Machine learning in Alzheimer’s disease genetics | 13:15-13:35 | 20 min | Valentina Escott-Price | Cardiff University |
| Network AI: Individual-Specific Networks in Precision Health | 13:35-13:55 | 20 min | Kristel Van Steen | ULiege | |
| An introduction to dimensionality reduction and multi-view clustering | 13:55-14:15 | 20 min | Zuqi Li | KU Leuven | |
| BREAK | 14:25-14:45 | 20 min | |||
| Epidemiology and AI | AI-enhanced phenotyping for GWAS of image-based traits | 14:45-15:05 | 20 min | Xianjing Liu | Erasmus MC |
| Predicting Atrial Cardiopathy with Cardiac MRIs and ECGs | 15:05-15:25 | 20 min | Jennifer Brody | University of Washington | |
| Perpetuating bias | 15:25-15:40 | 15 min | Carolina Medina Gomez | Erasmus MC | |
| Secure Collaborative Genomics Research with Confidential Federated Learning | 15:40-16:00 | 20 min | Mostafa Khattat | TU Delft & Oasysnow |