Afternoon Scientific Session

This session explores how artificial intelligence, machine learning, and in silico modeling are transforming health prediction and chemical risk assessment. Talks will focus on leveraging AI for drug repurposing, simulating complex biological systems, and integrating large datasets to refine predictive frameworks like Adverse Outcome Pathways.

James Glazier, Indiana University Bloomington
Use of digital twins to model the immune response or infectious disease process

Carolina Gonzalez, Scripps College
Advancing Drug Repositioning with Explainable Graph Neural Networks

Camilla Dos Santos, Cold Spring Harbor Laboratory
Understanding Molecular Mechanisms of Breast Cancer using Human Mammary Organoids