AWS for Industries
Category: Life Sciences
Executive Conversations: The era of genomics in the cloud with Peter Goodhand, CEO, Global Alliance for Genomics & Health
Peter Goodhand, CEO of the Global Alliance for Genomics & Health (GA4GH), joins Lisa McFerrin, Worldwide Lead of Genomic Bioinformatics at AWS, to discuss how secure storage and responsible sharing of genomic data in the cloud can benefit human health. GA4GH is a nonprofit alliance dedicated to creating frameworks and standards that facilitate data sharing […]
Exploring the UniProt protein knowledgebase with AWS Open Data and Amazon Neptune
Example graph of protein data The Universal Protein Resource (UniProt) is a widely used resource of protein data that is now available through the Registry of Open Data on AWS. Its centerpiece is the UniProt Knowledgebase (UniProtKB), a central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. UniProtKB […]
Training Machine Learning Models on Multimodal Health Data with Amazon SageMaker
This post was co-authored by Olivia Choudhury, PhD, Partner Solutions Architect; Michael Hsieh, Sr. AI/ML Specialist Solutions Architect; and Andy Schuetz, PhD, Sr. Startup Solutions Architect at AWS. This is the second blog post in a two-part series on Multimodal Machine Learning (Multimodal ML). In part one, we deployed pipelines for processing RNA sequence data, clinical […]
Building Scalable Machine Learning Pipelines for Multimodal Health Data on AWS
This post was co-authored by Olivia Choudhury, PhD, Partner Solutions Architect; Michael Hsieh, Senior AI/ML Specialist Solutions Architect; and Andy Schuetz, PhD, Sr. Partner Solutions Architect. Healthcare and life sciences organizations use machine learning (ML) to enable precision medicine, anticipate patient preferences, detect disease, improve care quality, and understand inequities. Rapid growth in health information […]
Machine Learning Leukemia diagnosis at Munich Leukemia Lab with Amazon SageMaker
Munich Leukemia Lab (MLL) is a leading global institution for leukemia diagnostics and research, operating within a highly innovative environment. MLL aims to shape the future of hematological diagnostics and therapy through state-of-the-art molecular and computational methodologies. To this end, MLL partnered with the Amazon Machine Learning Solutions Lab (MLSL) and Mission Solutions Team (MST) […]
Developing healthcare applications using Epic Electronic Health Record APIs
The healthcare industry is increasingly turning to technology to improve the user experience throughout the continuum of care. Healthcare organizations are developing new, innovative applications for patients, members, administrators, and clinicians by leveraging real-time Epic Electronic Health Record (EHR) data using APIs. These applications range from clinical communication, to patient triage, to care coordination, and […]
Whitepaper: Building a solid foundation for GxP-regulated workloads on AWS
For customers looking to implement a GxP-compliant environment on AWS, we have released a new whitepaper: GxP Systems on AWS. Access Whitepaper This whitepaper provides essential information and guidance on building GxP-regulated systems using AWS services, and outlines how AWS approaches GxP-related compliance and security. Building on our previous GxP guidance, the content of this […]
Executive Conversations: Modernizing the approach to healthcare data with Andrew Goldberg, Co-founder and COO of HealthVerity
Andrew Goldberg, Co-founder and COO of HealthVerity, joins Jared Saul, Global Head of Healthcare and Life Sciences Startups at AWS, for a discussion on industry trends shaping the way payors and pharmaceutical organizations exchange and manage data, the role of real-time data in COVD-19 vaccine development, and a vision for a flexible data strategy. HealthVerity, […]
Enabling the aggregation and analysis of The Cancer Genome Atlas using AWS Glue and Amazon Athena
The Cancer Genome Atlas (TCGA) is a landmark cancer genomics program, producing molecular data for nearly 20,000 primary tumors and matched normal tissues from 11,328 patients across 33 cancer types. The TCGA includes germline and somatic variants, copy number variants, mRNA expression, miRNA expression, DNA methylation, and protein expression for most patients. In addition to […]
Running OSIsoft PI System on AWS Outposts to enable a hybrid experience
Introduction to OSIsoft PI System OSIsoft is a select AWS Partner and leader in industrial digital transformation. It has a comprehensive data infrastructure platform with the capability to ingest data from various industrial sensors using a variety of industrial protocols. Using PI System, organizations can run KPIs in real-time to assess the health of equipment […]









