Category: Artificial Intelligence

In this blog, learn how Electronic Medical Record (EMR) systems on AWS can evolve from static clinical repositories into the foundation for generative AI in healthcare—through two complementary strategies that extend existing systems with AI services or build on open standards like FHIR and openEHR.

In this post you will discover the benefits and use cases for VPC connected workflows, the steps to configure a VPC endpoint, practical walkthroughs for common scenarios, and how VPC security controls apply to workflow traffic.

In this blog post you will learn how the new HealthOmics batch runs can solve this problem for you.

This post shows you how to build an AI-powered investment research platform using the Strands agents -multi-agent framework deployed on Amazon Bedrock AgentCore.

This blog explains how Traitomic partnered with AWS to power genetic trait development by overcoming common challenges with sequencing workflows.

In this blog post, learn more about Chuck Data which is a command-line AI agent for customer data, built by Amperity. It embeds years of customer data expertise and multi-patented identity resolution algorithms.

Learn how Exact Sciences, a leading provider of cancer screening and diagnostic tests, has transformed its bioinformatics infrastructure by utilizing AWS HealthOmics.

Defining physical AI beyond digital intelligence Physical AI represents a transformative evolution in artificial intelligence, extending beyond purely computational systems, to intelligent agents that perceive, reason, and interact directly with the physical world. Unlike traditional AI systems that process information in digital domains (such as chatbots or recommendation engines), physical AI embeds intelligence in systems […]

This blog post will detail how Genmab, a leading biotech company, built an automated pipeline on AWS that handles whole-slide images from start to finish, cutting analysis time from hours to under 30 minutes per batch and reducing manual work by 80 percent. We will walk through how Genmab achieved this using AWS services and share the key lessons they learned along the way.

In this post, we show how EHR companies, healthcare independent software vendors (ISVs), and tech-enabled provider organizations can use Amazon Connect Health to embed these capabilities into their existing workflows using a single, unified Software Development Kit (SDK).