Until recently, AI in biology meant one thing:
input → output. Done
Now there's a new paradigm: Agents
An Agent gets a goal, plans its steps, uses tools, and adjusts course when it fails.
Three pillars:
🧠 Planning: breaks goals into executable steps
💾 Memory: learns from failures, not just successes
🔧 Tool-use: connects to 150+ biomedical tools
⚠️ And a key point: these systems aren't built to replace scientists. They're built to free them.
📖 Read the full article at SpentaGen
#AIAgent #bioAI
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