Ariella Sasson

Learn how to build your own co-scientist with Amazon Quick. In this builder session, you'll gain hands-on experience with loading life sciences domain skills directly into Amazon Quick, and work through your own scientific questions with guidance from AWS's life sciences experts.

Healthcare and life sciences teams face pressure to apply generative AI, but they struggle to move from proof-of-concept to prototype. In this hands-on workshop, you’ll use Kiro IDE and spec-driven development to build a functional AI agent, progressing through requirements, design, implementation, and live demo.

Learn to automate AWS HealthOmics genomic workflows using AI agents and natural language. With the open-source agents framework Strands Agents, build agents that can create, run, and optimize workflows using the AWS HealthOmics MCP server.

In this session, learn how to orchestrate multiple state-of-the-art (SOTA) biological foundation models (FMs) together to create a seamless drug discovery workflow using AWS HealthOmics. Explore how to combine multiple FMs, and get hands-on experience automating a canonical drug discovery pathway.

Omics data holds great promise for improving health outcomes and accelerating scientific discovery, but analyzing large, complex genomic and multiomics datasets presents challenges. Storing, accessing, and deriving understanding from these data requires specialized tools.

Come learn how customers are building genomics solutions on AWS with the new Amazon Omics. This builders’ session is a hands-on tour of how to store petabytes of genomics data at low cost, process them efficiently, and analyze population-scale datasets.