Category: AWS HealthOmics

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 […]

The genomic research landscape is evolving at an unprecedented pace, demanding robust and scalable solutions for data storage and analysis. In collaboration, MGI, Sentieon, and Amazon Web Services (AWS) provide capabilities to help with genomic research. Researchers and clinicians can now fully capitalize on the capabilities of MGI’s sequencing technologies by utilizing AWS HealthOmics and […]

Understanding genomic variation across populations is critical for advancing precision medicine and evolutionary research, but analyzing large datasets can be complex and resource intensive. Amazon Web Services (AWS) provides scalable tools to simplify this process enabling efficient and insightful analysis across diverse genetic data. Introduction The 1000 Genomes Project is a landmark international research initiative […]

Figure 1 Discovering new life-changing therapies has never been more urgent, yet the drug discovery process remains a complex and time-consuming endeavor. To accelerate breakthroughs, leading biotech and biopharma companies are turning to Biological Foundation Models (BioFMs), a type of advanced generative AI models trained on biological data. We are excited to announce that NVIDIA’s […]

Today, AWS is excited to announce a collaboration with EvolutionaryScale to bring their new frontier language models for biology to scientists and researchers advancing applications from drug discovery to carbon capture, and more. With this announcement, we are making EvolutionaryScale’s ESM3, a frontier, state-of-the-art language model family, available on AWS. This collaboration brings the best […]

In the rapidly evolving field of bioinformatics, transitioning from on-prem high-performance computing (HPC) environments, like Slurm, to cloud-based solutions, like AWS HealthOmics, presents opportunities to reinvent for scale, speed, and cost. Jeff Lee is Associate Director of R&D Cloud Architecture at Takeda Pharmaceuticals, a patient-focused, R&D driven biopharmaceutical organization founded in 1781. In this blog post, […]

Analyzing large-scale genomic variant data just got easier with the latest release of Amazon EMR and its integration with AWS HealthOmics. HealthOmics Analytics provides tabular access to genetic variant data sets and annotations, empowering researchers and data scientists to uncover valuable insights through Amazon Athena queries and now Amazon EMR jobs. While Amazon Athena excels […]

In this blog, you’ll discover how to harness the power of serverless computing to streamline genomics analysis workflows, enabling faster insights. By leveraging AWS Step Functions, AWS Lambda, and AWS HealthOmics, you can parallelize and modularize resource-intensive genomics pipelines. This approach enhances efficiency, scalability, and cost optimization, empowering businesses and researchers to accelerate time-to-insight. The […]