Artificial Intelligence in Oncology: Program

Time

Format

Topic

Speakers

Podium Presentation

Z-Fusion: Uncertainty-Stabilized Feature Engineering Outperforms Model Selection in p ≫ n Rare-Disease Cohorts for Transcriptomic Predictions

Yves Lussier, University of Utah

Podium Presentation

FusionRank: A Learning-to-Rank Framework for Prioritizing Oncogenic Gene Fusions in Cancer

Kai Wang, University of Pennsylvania

Podium Presentation

Accelerating Oncology Drug Discovery with AI

Jake Chen, University of Alabama at Birmingham

Podium Presentation

 Multi-modal Deep Learning Models for Cancer Recurrence Prediction

Ece Uzun, Brown University

Podium Presentation

Network-based Analysis of Gliobastoma Recurrence Using Graph Neural Networks

Alper Uzun, Brown University