ode-discovery

This paper presents AgentODE, a framework that uses an LLM to propose ODE structures and a tool-augmented agent to refine parameter distributions from aggregate summary statistics alone, enabling mechanistic modeling of rare diseases under data scarcity and privacy constraints.