Category: AWS HealthOmics

Learn more about Kiro — an agentic AI-powered IDE built by AWS that helps you go from prototype to production with spec-driven development — and how to improve Kiro’s bioinformatics workflow abilities, we built the AWS HealthOmics Kiro Power — a companion package that automatically configures the HealthOmics Model Context Protocol (MCP) server and provides Kiro with domain-specific steering guides.

Bioinformatics workflows are computationally expensive, often running for hours to days. When these workflows fail mid-execution or require iterative refinement, rerunning from scratch wastes significant time and compute resources. AWS HealthOmics call caching solves this challenge by intelligently saving and reusing completed task outputs, enabling workflows to resume from failure points rather than restarting entirely. […]

As healthcare leaders and radiologists from around the world gather at the Radiological Society of North America (RSNA) Annual Meeting, Amazon Web Services (AWS) is proud to showcase how cloud technology is revolutionizing medical imaging. In an era where diagnostic precision and clinical efficiency are paramount healthcare organizations are leveraging the secure, scalable infrastructure of […]

Inocras, a genomic analysis company founded in 2020, has transformed how they process whole genome data. They achieved a 72% reduction in analysis costs and 47% improvement in processing speed after migrating to AWS HealthOmics. Operating out of San Diego, Seoul, Daejeon, and Hong Kong, the company specializes in whole genome sequencing (WGS), which reads […]

Phytoform Labs is a biotechnology company pioneering AI-driven genetic engineering to address one of agriculture’s most pressing challenges: developing crops that can withstand increasingly unpredictable weather patterns caused by climate change. History shows that crop genetic advancements have improved human well-being through increased food security, improved nutrition, and reduced pesticide exposure. The innovative CRE.AI.TIVE™ platform […]

Accessing workflow run logs and metrics through individual Amazon Web Services (AWS) HealthOmics APIs can make it difficult to have a birds-eye view over all your workflows and runs. Automating the ingestion of relevant HealthOmics workflow and run information can help you to be operationally efficient. Introduction Omics data has the potential to transform how […]

Bioinformatics workflows, spanning from RNAseq to metabolomics, have become increasingly complex and data-intensive. For researchers in biotech and pharmaceutical industries, extracting meaningful insights from vast amounts of biological data is a daily challenge. Recognizing this, Sonrai, a frontrunner in precision medicine cloud technologies, set out to transform the landscape of large-scale bioinformatics analysis. We’ll discuss […]

More than 1,000 industry leaders from all corners of the life sciences industry converged in New York City for the seventh annual Amazon Web Services (AWS) Life Sciences Symposium to discuss the latest advancements in Life Sciences technology. Throughout the 26 sessions presented by 39 customer speakers, one sentiment was loud and clear: the future […]

Generative AI is already reshaping the Healthcare and Life Sciences (HCLS) industry. From AstraZeneca and Pfizer to 3M and the Allen Institute, innovators are using AI to accelerate drug discovery, boost scientist productivity, and streamline clinical workflows. As adoption grows, so does the need for models tailored to HCLS-specific challenges—from medical text summarization to DICOM […]

Healthcare and life sciences (HCLS) organizations are generating more data than ever as they integrate molecular data into their drug discovery, clinical development, molecular diagnostics, and population health analysis. Because of the amount of data, customers are looking for well-organized cost-effective storage that supports easy discovery and integration into their analysis ecosystem. Customers also want […]