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This article discusses how to build a drug discovery research assistant using Strands Agents and Amazon Bedrock. The assistant uses AI agents and generative AI tools to navigate vast amounts of scientific literature, clinical trial data, and molecular databases. It demonstrates how to create a powerful research assistant that can search multiple scientific databases simultaneously, synthesize findings, and generate comprehensive reports on drug targets, disease mechanisms, and therapeutic areas. The solution uses a team of sub-agents, each with its own FM, instructions, and tools, and is available as an example in the open-source healthcare and life sciences agent toolkit.

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