LLM Agents for Scientific Discovery Guide

Overview

A curated survey of how LLM-based agents are being applied to scientific discovery, with a focus on biomedical research. Covers hypothesis generation, experiment design, lab automation, literature synthesis, and multi-agent scientific collaboration. Tracks papers, tools, and frameworks across the spectrum from fully autonomous to human-in-the-loop systems.

Landscape

LLM Agents for Scientific Discovery
├── Hypothesis Generation
│   ├── Literature-based (gap identification)
│   ├── Data-driven (pattern discovery)
│   └── Analogy-based (cross-domain transfer)
├── Experiment Design
│   ├── Protocol generation
│   ├── Parameter optimization
│   └── Control selection
├── Lab Automation