Build a drug discovery research assistant using Strands Agents and Amazon Bedrock

This article demonstrates how to build a drug discovery research assistant using Strands Agents and Amazon Bedrock, providing a powerful AI tool for scientific research and information synthesis.

• Uses Strands Agents SDK to create a multi-agent research workflow
• Connects to multiple scientific databases like arXiv, PubMed, ChEMBL, and ClinicalTrials.gov
• Employs specialized sub-agents for planning, research, and report synthesis
• Utilizes Amazon Bedrock's foundation models, primarily Anthropic's Claude models
• Demonstrates an example workflow for researching HER2 in breast cancer

The solution showcases how AI agents can streamline complex research tasks by automatically selecting and querying relevant databases, then synthesizing findings into comprehensive reports.