Category: Public Sector

This post, which details a collaboration between a national genomics research institute and Temus using Amazon Web Services (AWS), demonstrates the power of combining deep bioinformatics with advanced AI models and machine learning methods in a scalable AWS environment to uncover novel patterns in complex viral genomes. In this post, we explore the details of a scalable proof of concept (POC) pipeline built on AWS that uses an advanced genomic foundation model and unsupervised clustering to transform raw genomic sequences into signals for further research.

In this post, we translate pillars into a deployable cloud foundation, focusing on the key postures of security, identity management, governance, network design, resilience, continuity, auditability, and operational independence.

AI handles triage while analysts handle judgment. And, by coupling automated continuous monitoring with AI system connectivity, recovery time can speed up, resulting in fewer after-hours status calls. Your existing Amazon Web Services (AWS) environment already has access to the capabilities that can make this a reality.

Public sector agencies are rapidly adopting foundation models (FMs) and large language models (LLMs) to streamline operations, improve service delivery, and make data-driven decisions. From chat assistants assisting citizens to AI tools summarizing reports and automating approvals, these technologies are transforming public service delivery.

This post examines what’s working in production with a focus on Europe, the Middle East, and Africa (EMEA), the safety challenges the industry must confront, and how Amazon Connect Health by Amazon Web Services (AWS) brings purpose-built agentic AI to healthcare.

In this post, we look at why these three make up the AWS CAF-AI perspectives EdTech leaders should mature first, and what building each one looks like in practice.

At the University of Arizona (U of A) College of Medicine – Phoenix, a translational neuroscience lab of eight researchers is pursuing a mission to find and repurpose existing drugs as potential treatments for rare pediatric disorders. Working with Amazon Web Services (AWS), the team connected four AWS services into an integrated research pipeline, using generative artificial intelligence (AI) and specialized foundation models to turn raw sequencing data into insights that help identify promising drug candidates. In this post, learn how the lab is using generative AI to expand its research capacity with its current members to pursue scientific breakthroughs for a patient population that is often overlooked.

The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. AWS works with data providers to democratize access to data by making it available to the public.

In this post, we demonstrate RareDx, an agentic AI-powered application prototype, built on Amazon Bedrock AgentCore, Amazon Web Services (AWS) purpose-built AI services and open source toolkits for Healthcare and Life Sciences. RareDx guides physician geneticists through the entire diagnostic journey; from the first referral letter to the final insurance-coded report.

Learn how with Amazon Bedrock Knowledge Bases, you build an assistant that grounds answers in your trusted documents through Retrieval Augmented Generation (RAG).