Category: Life Sciences

Today, we are excited to announce the release of E11 Bio’s brain tissue dataset on AWS as part of the Registry of Open Data on AWS (E11bio PRISM). Read this post to learn more.

AWS partners with providers of innovative solutions such as MemVerge, an AWS Partner Network (APN) Advanced Technology Partner, whose Memory Machine Batch (MMBatch) technology complements AWS Batch by providing advanced checkpointing capabilities for EC2 Spot Instances. In this post, we look at how MemVerge’s technology can overcome the challenges of interrupted pipelines by enabling pipelines that were interrupted mid task to start from where they left off, regardless of Spot Instance reclaims. We’ll also show how MemVerge’s Batch Viewer and proven best practices empower researchers to visualize their workloads, identify bottlenecks, and apply smart strategies that make their pipelines more efficient, resilient, and cloud-optimized.

The Whole Genome Sequencing (WGS) based genetic diagnostics has revolutionized our ability to identify and understand rare diseases, particularly in pediatric cases where early diagnosis, sometimes within a few hours to days, can dramatically improve patient outcomes. However, WGS needs significant computational resources for analyzing genomic data, which presents a challenge to academic medical centers to balance between flexibility, scalability, speed, and cost. The Department of Human Genetics at Hannover Medical School (MHH), one of Germany’s leading university hospitals, has developed an innovative solution to this challenge by using AWS. Read this post to learn more.

In this post, we explore how to build a sophisticated meeting transcription and analysis platform using AWS services, designed specifically for the scientific community. Our solution combines the power of AWS Transcribe, Amazon Bedrock, and other Amazon Web Services (AWS) services to create an intelligent tool that transforms how researchers document and analyze their discussions.

AWS provides innovative health researchers with the agility, adaptivity, and resilience they need to accelerate their research. Because of this, AWS expanded the scope of its commitment to Advanced Research Projects Agency for Health (ARPA-H) Sprint for Women’s Health performers to include its Spark funding track awardees. These awardees focus on transformative early-stage research in women’s health.

Scientists at the National Institutes of Health (NIH) recently uncovered how a structure known as low-density lipoprotein (LDL), which transports “bad” cholesterol through the bloodstream, interacts with its receptor molecule to enter cells—information that has eluded researchers for decades. The findings could lead to more personalized treatments for cardiovascular disease and were enabled by cutting-edge high performance computing (HPC) infrastructure from AWS. Read this post to learn more.

Many government agencies, like the National Oceanic and Atmospheric Administration (NOAA), participate in the AWS Open Data Sponsorship Program. In this post, we discuss how to use NOAA datasets in the Registry of Open Data on AWS using Amazon Bedrock Knowledge Bases.

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). AWS works with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-based techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. The full list of publicly available datasets are on the Registry of Open Data on AWS and are now also discoverable on AWS Data Exchange. This quarter, AWS released 53 new or updated datasets and you can learn more about them in this post.

Public sector organizations face stringent compliance requirements, and any unauthorized access to protected health information (PHI) or personal identifiable information (PII) can result in legal penalties and reputational damage. This post aims to demonstrate how public sector customers can develop a fine-grained authorization module using Amazon Web Services (AWS) identity services, extending beyond the capabilities of traditional role-based access control (RBAC), so they can achieve compliance objectives.

The healthcare industry is undergoing a profound transformation, driven by the adoption of generative artificial intelligence (AI), cloud computing, and connected care devices. This digital revolution promises to improve patient outcomes, reduce costs, and enhance the overall healthcare experience. However, it also introduces new challenges in terms of cybersecurity, privacy, and regulatory compliance. To navigate this complex landscape, healthcare organizations are turning to scalable, affordable, and highly available cloud infrastructures such as Amazon Web Services (AWS) to build resilient, secure, and innovative solutions.