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LLM-powered agent discovers biological ODEs with symbolic regression

By PulseAugur Editorial · [3 sources] ·

Researchers have developed MEDA, a new system that combines large language models (LLMs) with symbolic regression to automatically discover Ordinary Differential Equations (ODEs) for biological systems. This agentic framework can retrieve background knowledge, define variables, generate constraints, and propose, fit, and evaluate candidate ODEs. Evaluations across various tasks, including model retrieval and extrapolation, show MEDA's ability to recover correct state variables and produce biologically plausible models, highlighting the importance of knowledge-guided formalization and mechanistic constraints. AI

IMPACT This research demonstrates a novel approach for AI to automate complex scientific discovery, potentially accelerating research in fields like systems biology.

RANK_REASON Research paper detailing a new methodology for scientific discovery using AI.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

LLM-powered agent discovers biological ODEs with symbolic regression

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Research paper detailing a new methodology for scientific discovery using AI.
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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · David Krongauz, Arad Zulti, Eran Segal, Teddy Lazebnik ·

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

    arXiv:2607.13608v1 Announce Type: new Abstract: Automatic scientific discovery has long been a goal of computational scholars - a machine that can discover nature's secrets on its own, moving computational systems beyond data-fitting tools toward the generation and refinement of …

  2. arXiv cs.AI TIER_1 English(EN) · Teddy Lazebnik ·

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

    Automatic scientific discovery has long been a goal of computational scholars - a machine that can discover nature's secrets on its own, moving computational systems beyond data-fitting tools toward the generation and refinement of mechanistic models of the universe. Recent advan…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

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

    Automatic scientific discovery has long been a goal of computational scholars - a machine that can discover nature's secrets on its own, moving computational systems beyond data-fitting tools toward the generation and refinement of mechanistic models of the universe. Recent advan…

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