Causality from Real-World Data
How can we reliably distinguish true drug-induced effects from confounding and bias in FAERS and EHR data?

Predicting Rare Toxicities
What approaches actually work for predicting rare but severe events like DILI and cardiotoxicity—and where do current models fail?

From Signals to Mechanisms
Can integrating multimodal data (clinical, omics, chemical) help move from statistical signals to mechanistic understanding of toxicity?

Validation and Trust
What does robust validation look like for ADR prediction models across populations and real-world settings?

Actionability of AI Predictions
What level of predictive or causal evidence is sufficient to influence clinical, regulatory, or portfolio decisions?