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D. Krongauz

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Preprint Jul 2026

Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System

The MEDA system is introduced, an LLM- and SR-powered agentic framework for discovering ordinary-differential-equation models of biological and biologically inspired dynamical systems and shows that knowledge-guided formalization and mechanistic constraints are load-bearing components, whereas numerical fitting alone can preserve trajectory-compatible but biologically incorrect equations.

D. Krongauz, A. Zulti, Eran Segal et al. · 0 citations