gabrielmoreira Medea Therapeutic Discovery Agent
Medea is a multi-stage AI agent designed for therapeutic discovery, modeled after 2026 state-of-the-art open source architectures. It executes transparent, multi-step omics analyses.
When to Use This Skill
- "Run multi-omics therapeutic discovery pipeline"
- "Analyze omics data for novel drug targets using Medea"
- "Perform literature reasoning and consensus reconciliation for target X"
Core Capabilities
- Research Planning: Formulates step-by-step omics analysis plans.
- Code Execution: Generates and executes Python/R scripts for data processing.
- Literature Reasoning: Retrieves and synthesizes current literature.
- Consensus Stage: Reconciles experimental evidence with literature to propose high-confidence targets.
Workflow
- Step 1: Initialize Medea agent with target disease or omics dataset.
- Step 2: Execute the multi-stage pipeline across planning, coding, literature review, and consensus validation.
Example Usage
User: "Run Medea analysis on the provided breast cancer multi-omics dataset."
Agent Action:
python3 -m medea.agent --dataset breast_cancer_omics.h5ad --mode full_discovery