# AI-powered clinical trial eligibility and safety using Amazon Bedrock AgentCore

DevFeed: [AI-powered clinical trial eligibility and safety using Amazon Bedrock AgentCore](<https://devfeed.tech/articles/ai-powered-clinical-trial-eligibility-and-safety-using-amazon-bedrock-agentcore-4635.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/architecture/ai-agents-for-clinical-trial-screening/>)

Author: Sachin Jain

Published: 2026-08-19T13:11:51Z

Content type: tutorial

Language: en

Sources: [AWS Architecture Blog](<https://devfeed.tech/sources/aws-architecture-blog.md>)

Topics: [AI Bots](<https://devfeed.tech/topics/ai-bots.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [agent](<https://devfeed.tech/tags/agent.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [amazon](<https://devfeed.tech/tags/amazon.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [amazon-bedrock-agentcore](<https://devfeed.tech/tags/amazon-bedrock-agentcore.md>), [aws](<https://devfeed.tech/tags/aws.md>), [data](<https://devfeed.tech/tags/data.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [knowledge-graph](<https://devfeed.tech/tags/knowledge-graph.md>), [llm](<https://devfeed.tech/tags/llm.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [safety](<https://devfeed.tech/tags/safety.md>), [thought-leadership](<https://devfeed.tech/tags/thought-leadership.md>)

## AI overview

An AWS architecture tutorial for a clinical-trial eligibility and safety agent. It uses Amazon Bedrock AgentCore, AWS HealthLake, knowledge-graph evidence, evaluations, and human-in-the-loop review to support clinician-led screening decisions.

## Source excerpt

AI agents built on Amazon Bedrock AgentCore help clinical trial teams make fast, accurate enrollment decisions while keeping clinicians in control. This post shows how to architect an eligibility and safety screening agent using AWS HealthLake, AgentCore, and AgentCore Evaluations.