Learn how Genentech is Automating Drug Research with Amazon Bedrock Agents
Discover how Genentech is taking an artificial intelligence (AI) agent to improve research efficiency.
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Genentech improved their drug research process by automating nearly five years of manual biomarker validation work—over 43,000 hours—across multiple therapeutic areas using Amazon Bedrock Agents.
See how AI agents and large language models (LLMs) on Amazon Web Services (AWS) can help organizations access multiple data sources, bring actionable insights, and accelerate research while enabling scientists to focus on high-impact innovations.
Key points covered:
Resource optimization: Saved thousands of hours of manual biomarker validation work, applying resources to high-value innovation.
Operational efficiency: AI agents orchestrate scientific tasks, integrate diverse datasets, and produce rigorous, cited analysis.
Accelerate innovation: Enable faster drug target identification and improve research efficiency.
Watch this video to see how Genentech is using Amazon Bedrock Agents to improve drug research and see how your organization can unlock new insights with AWS.
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