Explore how AI-driven digital twins and functional models integrate patient-specific biology to identify and validate high-confidence drug targets by simulating system-level responses to genetic or pharmacological perturbations.
Learn how perturbation modelling with multiomic and functional genomics data predicts the effects of interventions on disease pathways, while LLMs synthesize data to uncover and prioritize novel therapeutic targets.
Speaker(s):
Zhiyong (Sean) Xie
Vice President & Head, AI & Data Science
Xellarbio
Time:
12:45 PM - 1:15 PM
Agenda Track No.:
Track 1
Session Type:
General Session (Presentation)